213 Commits

Author SHA1 Message Date
Vinayak Mehta 9a5c4b6865 Merge pull request #175 from camelot-dev/revert-0-8-1
[MRG] Revert the changes in v0.8.1
2020-07-27 17:56:48 +05:30
Vinayak Mehta fbe576ffcb Revert the changes in v0.8.1 2020-07-27 17:38:14 +05:30
Vinayak Mehta fcad5067b9 Fix failing test 2020-07-23 00:54:41 +05:30
Vinayak Mehta 1b8ce1d560 Bump requirement versions 2020-07-23 00:40:26 +05:30
Vinayak Mehta 16beb15c43 Bump version and update HISTORY.md 2020-07-21 21:48:29 +05:30
Vinayak Mehta be25e6dbdb Merge pull request #171 from camelot-dev/fix-169
Change error name and update pdfminer.six version
2020-07-21 21:30:14 +05:30
Vinayak Mehta a13e2f6f1f Change error name and update pdfminer.six version 2020-07-21 21:21:01 +05:30
Vinayak Mehta 4b08165328 Merge pull request #166 from stevestock/patch-1
Update install.rst
2020-07-20 16:00:43 +05:30
Vinayak Mehta e5b143d9a8 Update install instructions 2020-07-20 15:59:42 +05:30
Steven Stockhamer 8e5a8e6712 Update install.rst
MacOS now uses zsh by default.  Square brackets must be escaped in zsh
2020-07-19 20:44:16 -04:00
Vinayak Mehta 5efbcdcebb Update requirements.txt 2020-05-24 19:04:50 +05:30
Vinayak Mehta 189fe58bf2 Update requirements.txt 2020-05-24 19:01:03 +05:30
Vinayak Mehta 1575ec1bf0 Add .readthedocs.yml 2020-05-24 18:56:33 +05:30
Vinayak Mehta d5d6a5962b Bump version and update HISTORY.md 2020-05-24 18:36:13 +05:30
Vinayak Mehta 420d5aa624 Merge pull request #146 from camelot-dev/add-python38-travis
[MRG] Fix test data and drop python2 support
2020-05-24 18:31:27 +05:30
Vinayak Mehta a22fa63c4e Fix syntax errors 2020-05-24 18:19:48 +05:30
Vinayak Mehta 52b2a595b4 Add f-strings and remove python3.5 test job 2020-05-24 18:14:43 +05:30
Vinayak Mehta afa1ba7c1f Fix test indent 2020-05-24 17:38:48 +05:30
Vinayak Mehta f725f04223 Remove future imports 2020-05-24 17:33:13 +05:30
Vinayak Mehta 3afb72b872 Fix read_pdf(url) and test data 2020-05-24 17:26:52 +05:30
Vinayak Mehta 6dd9b6ce01 Create FUNDING.yml 2020-05-24 16:14:43 +05:30
Vinayak Mehta fc1b6f6227 Add python38 test job for travis 2020-05-24 15:27:48 +05:30
Vinayak Mehta 7d4c9e53c6 Update README 2020-03-21 18:07:29 +05:30
Vinayak Mehta 44193e0d26 Add deepsource badge to docs 2019-12-24 13:08:46 +05:30
Vinayak Mehta a9918a78cf Add deepsource badge 2019-12-24 13:07:11 +05:30
Vinayak Mehta 47bb839d7a Create .deepsource.toml 2019-12-24 13:03:45 +05:30
Vinayak Mehta 1b30f8ecf9 Merge pull request #94 from miltonArango/improving-coverage
[MRG] Unit tests for the version generation
2019-11-15 10:50:42 +05:30
Milton Arango 8e28a0cac0 Moved the version tests to test_common PR #94
Applied black formatting
2019-11-14 20:26:20 -05:00
Vinayak Mehta eb2badbbd0 Merge pull request #91 from vasantvohra/patch-1
[MRG] Update how-it-works.rst
2019-11-15 03:36:02 +05:30
Milton Arango 0d1db4b09e Unit Tests for the Version Generation
Unit tests for the __version__.py generate_version method.
2019-10-26 15:41:41 -05:00
Vasant Vohra 167ee9ac69 Update how-it-works.rst
minor typo
2019-10-17 14:04:18 +05:30
Vinayak Mehta 83f816f104 Merge pull request #48 from jnothman/assert_frame_equal
[MRG] Use assert_frame_equal for more informative errors in tests
2019-10-15 15:51:26 +05:30
Vinayak Mehta f1879726d9 Merge pull request #86 from pravarag/add-opencollective
[MRG] Update python-tk link
2019-10-15 12:19:07 +05:30
Pravar Agrawal 56f3b54f62 [PyConIndia] Update python-tk link in README 2019-10-15 11:25:57 +05:30
Vinayak Mehta 11fadb16fd Merge pull request #65 from pravarag/add-opencollective
[MRG] Add opencollective url
2019-10-14 23:58:12 +05:30
Vinayak Mehta 2340833bb8 Merge branch 'master' into add-opencollective 2019-10-14 23:57:40 +05:30
Vinayak Mehta 7ce4cb5050 Merge pull request #57 from dcorriveau/master
Update README.md
2019-10-14 23:56:40 +05:30
Vinayak Mehta 78e5dd1f4e Fix #56 2019-10-14 23:55:51 +05:30
Vinayak Mehta 857f68ef6b Update README.md 2019-10-14 23:52:38 +05:30
Vinayak Mehta 14c3cb49b9 Merge pull request #70 from kishvanchee/fix67
[MRG] Add 3.7 version to installation docs
2019-10-14 23:50:44 +05:30
Kishore Vancheeshwaran a6d32ecddb added 3.7 version to installation docs 2019-10-14 12:52:51 +05:30
Pravar Agrawal e5e02401da [DevSprint] convert camelot to uppercase in README 2019-10-14 12:51:09 +05:30
Pravar Agrawal ea3eac3c40 [DevSprint] push new branch, fix typo in index.rst change 2019-10-14 12:33:13 +05:30
Pravar Agrawal 28a8112c6d [DevSprint] Fix typo in index.rst for opencollective link 2019-10-14 12:25:17 +05:30
Pravar Agrawal 45384106c8 [DevSprint] Add opencollective link to README and Docs 2019-10-14 12:21:09 +05:30
Dylan Corriveau 81729f57cc Update README.md 2019-10-13 16:00:04 -04:00
Joel Nothman 9eb15c09dc Use assert_frame_equal for more informative errors in tests 2019-08-06 11:38:44 +10:00
Vinayak Mehta 7ecfcad239 Update HISTORY.md 2019-07-28 21:46:55 +10:00
Dimiter Naydenov b2929a9e92 Merge pull request #34 from KOLANICH/win_ghostscript_callback_fix
Fixed calling convention of callback functions
2019-07-24 13:39:18 +03:00
Dimiter Naydenov 6d33c7ff1e Merge pull request #32 from KOLANICH/ghostscript_discovery_win
Fixed library discovery on Windows
2019-07-24 13:38:51 +03:00
KOLANICH 5687fbc8b2 Fixed calling convention of callback functions 2019-07-16 21:08:34 +03:00
KOLANICH 9e356b1b0a Fixed library discovery on Windows 2019-07-16 21:07:23 +03:00
Vinayak Mehta f7b94b3e57 Add black badge to index.rst 2019-07-07 16:15:04 +05:30
Vinayak Mehta 0efb3ca1b0 Update HISTORY.md and bump version 2019-07-07 16:07:28 +05:30
Vinayak Mehta 098f7c6727 Merge pull request #26 from camelot-dev/fix-25
[MRG] Update flavor kwargs
2019-07-06 23:42:09 +05:30
Vinayak Mehta a97b50ef21 Update flavor kwargs 2019-07-06 22:59:51 +05:30
Vinayak Mehta e0e4eeb6d4 Rebuild 2019-07-06 04:36:16 +05:30
Vinayak Mehta b8c55383ea Update docs 2019-07-06 04:28:32 +05:30
Dimiter Naydenov 0f8cda4793 Merge pull request #5 from camelot-dev/fix-cli-group-name
[MRG] No need to monkey-patch Click.HelpFormatter
2019-07-04 18:26:35 +03:00
Dimiter Naydenov e81e818b0e Merge pull request #4 from camelot-dev/fix-strip-text-arg
[MRG] Fixed strip_text argument getting ignored
2019-07-04 18:26:11 +03:00
Dimiter Naydenov 13616c2fb4 No need to monkey-patch Click.HelpFormatter 2019-07-04 13:13:32 +03:00
Dimiter Naydenov 240ea6c411 Fixed strip_text argument getting ignored 2019-07-04 12:12:52 +03:00
Vinayak Mehta d5df93635e Merge pull request #3 from camelot-dev/code-style-black-badge
[MRG] Add code style: black badge to README.md
2019-07-04 01:10:51 +05:30
Dimiter Naydenov 245731345c Add code style: black badge to README.md
Now PR #1 got merged, we can wear this proudly :)
2019-07-03 21:58:22 +03:00
Vinayak Mehta 9137df2f6c Merge pull request #1 from camelot-dev/blacken-code
[MRG] Blacken code
2019-07-04 00:20:57 +05:30
Vinayak Mehta 16ddd10644 Update image_processing.py 2019-07-04 00:06:46 +05:30
Vinayak Mehta 2115a0e177 Blacken code 2019-07-03 23:47:42 +05:30
Vinayak Mehta 27d55d056c Merge pull request #2 from camelot-dev/fix-pytest-dep-warning
[MRG] Fix pytest deprecation warning
2019-07-03 23:20:43 +05:30
Vinayak Mehta 8866eaa3b6 Fix pytest deprecation warning 2019-07-03 22:07:10 +05:30
Vinayak Mehta 78d80555d8 Update LICENSE and fix travis 2019-07-03 20:46:18 +05:30
Himanshu Sikaria 69767beb7b Update README.md 2019-06-30 21:57:10 +05:30
Vinayak Mehta de97be23a4 Merge pull request #332 from socialcopsdev/fix-312
[MRG] Fix #312
2019-05-27 22:49:04 +05:30
Vinayak Mehta 8d9fdb740e Update HISTORY.md 2019-05-27 22:48:45 +05:30
Vinayak Mehta 477568dea7 Fix test 2019-05-27 22:29:50 +05:30
Vinayak Mehta de3281c1b6 Add test 2019-05-27 22:18:23 +05:30
Vinayak Mehta b2a8348f13 Fix #312 2019-05-26 17:13:59 +05:30
Vinayak Mehta 857edcd86e Merge pull request #250 from davidkong0987/patch-1
[MRG] Update advanced.rst
2019-05-26 16:57:09 +05:30
Vinayak Mehta 8c11608078 Update advanced.rst 2019-05-26 16:44:26 +05:30
Vinayak Mehta a1b85d2c91 Merge pull request #319 from Suyash458/fix-#298
[MRG] add -strip to cli docs
2019-05-08 12:14:18 -04:00
Vinayak Mehta 4355bc98ab Update cli.rst 2019-05-08 12:13:47 -04:00
Suyash458 3ac9318300 add -strip to cli docs 2019-04-27 14:46:47 +05:30
Vinayak Mehta 934065ada6 Merge pull request #294 from socialcopsdev/fix-split-bug
[MRG] Fix split text bug
2019-04-20 21:30:21 +05:30
Vinayak Mehta 355ae818a0 Merge branch 'master' into fix-split-bug 2019-04-20 21:06:47 +05:30
Vinayak Mehta 7ff8b5b89c Update HISTORY.md 2019-04-20 21:05:05 +05:30
Vinayak Mehta 3071548898 Update HISTORY.md 2019-04-20 21:04:09 +05:30
Vinayak Mehta ce727d9558 Fix split text bug 2019-03-22 02:28:29 +05:30
Vinayak Mehta ecf6febaa7 Update HISTORY.md 2019-03-08 21:20:43 +05:30
Vinayak Mehta a5343dcc25 Merge pull request #283 from symroe/277_table_sorting
[MRG] Sort TableList by order of tables in PDF
2019-03-08 21:18:51 +05:30
Vinayak Mehta 88466b8c4e Rename _mk_table to _make_table 2019-03-08 21:04:34 +05:30
Sym Roe 8446271aa4 Always sort TableList after reading PDF 2019-02-25 09:48:47 +00:00
Sym Roe c019e582bf Add __lt__ to Table to allow sorting
Refs #277
2019-02-25 09:20:09 +00:00
Yatin Taluja 8ea4ec3de8 Merge pull request #257 from yatintaluja/fix-245
[MRG] Fix AttributeError for encrypted files
2019-01-16 16:55:31 +05:30
yatintaluja 6c4b468800 Fix #245 2019-01-16 16:33:17 +05:30
yatintaluja 5330620ea2 Bump version 2019-01-16 16:30:05 +05:30
davidkong0987 24e58d0759 Update advanced.rst
added .. note:: in front
2019-01-10 00:49:42 -05:00
davidkong0987 88a6d0b761 Update advanced.rst
added .. note:: in front
2019-01-10 00:48:34 -05:00
davidkong0987 ddec47964c Update advanced.rst 2019-01-09 10:05:51 -05:00
Vinayak Mehta 45ae980988 Bump version 2019-01-06 13:00:08 +05:30
Vinayak Mehta 215e5ea2a5 Move ghostscript import 2019-01-06 01:50:54 +05:30
Vinayak Mehta 9d38b2f5af Bump version 2019-01-05 13:23:31 +05:30
Vinayak Mehta 80390834a9 Update HISTORY.md 2019-01-05 13:21:23 +05:30
Vinayak Mehta efff61ef8d Merge pull request #133 from socialcopsdev/replace-gs-c-api
[MRG] Replace gs subprocess call
2019-01-05 12:15:10 +05:30
Vinayak Mehta 1125952661 Update HISTORY.md 2019-01-05 12:14:50 +05:30
Vinayak Mehta aad800ba5b Update .coveragerc 2019-01-05 11:49:55 +05:30
Vinayak Mehta ab5391c76f Merge branch 'master' of github.com:socialcopsdev/camelot into replace-gs-c-api 2019-01-05 11:22:38 +05:30
Vinayak Mehta 73498a9d67 Update README 2019-01-05 02:12:14 +05:30
Vinayak Mehta 66d48a8164 Update HISTORY.md 2019-01-05 02:10:51 +05:30
Vinayak Mehta 2f262453a7 Merge pull request #244 from socialcopsdev/add-sqlite-support
[MRG] Add sqlite support
2019-01-05 02:08:54 +05:30
Vinayak Mehta 506cec7f6b Add sqlite support 2019-01-05 01:50:27 +05:30
Vinayak Mehta 7cf409aa08 Merge pull request #243 from socialcopsdev/add-table-regions
[MRG] Add table regions support
2019-01-04 22:00:11 +05:30
Vinayak Mehta 302a506e1c Update advanced docs 2019-01-04 21:27:51 +05:30
Vinayak Mehta 62b3580068 Update HISTORY.md 2019-01-04 21:14:55 +05:30
Vinayak Mehta f94777038a Update stream table regions logic 2019-01-04 20:27:53 +05:30
Vinayak Mehta d064f716e9 Add lattice test 2019-01-04 20:22:14 +05:30
Vinayak Mehta eaca147b9d Apply mask at threshold level 2019-01-04 20:15:41 +05:30
Vinayak Mehta 03f301b25c Add table regions support 2019-01-04 19:17:54 +05:30
Vinayak Mehta a5027e81c5 Merge pull request #241 from fte10kso/minor-doc-update
[MRG + 1] Remove mention of old mesh kwarg from docs
2019-01-03 21:30:25 +05:30
Kasper Socha 417db134fc Remove mention of old mesh kwarg 2019-01-03 15:07:44 +01:00
Vinayak Mehta 99eee608d7 Merge pull request #240 from socialcopsdev/raise-image-warning
[MRG] Add warning if PDF page is image-based
2019-01-03 16:31:43 +05:30
Vinayak Mehta 605ffdd444 Add test 2019-01-03 16:13:41 +05:30
Vinayak Mehta 9d90cadac0 Fix variable name 2019-01-03 15:47:05 +05:30
Vinayak Mehta f605bd8f94 Fix #239 2019-01-03 14:55:47 +05:30
Vinayak Mehta 7a0acd7929 Update CLI 2019-01-02 16:36:25 +05:30
Vinayak Mehta 859610e0dc Add pages test 2019-01-02 16:35:49 +05:30
Vinayak Mehta ea5747c5c4 Bump version 2018-12-24 15:51:29 +05:30
Vinayak Mehta 0b85c77425 Merge pull request #236 from socialcopsdev/read_url
[MRG] Add support to read from url
2018-12-24 13:29:41 +05:30
Vinayak Mehta 62ed4753cd Make python2 compat 2018-12-24 13:10:48 +05:30
Vinayak Mehta c78957ae5a Update HISTORY.md 2018-12-24 13:00:19 +05:30
Vinayak Mehta 2b3461deab Add support to read from url 2018-12-24 12:55:52 +05:30
Vinayak Mehta cd6db09248 Merge branch 'master' of github.com:socialcopsdev/camelot into replace-gs-c-api 2018-12-22 11:16:13 +05:30
Vinayak Mehta 0198f5527c Update HISTORY.md 2018-12-22 11:15:55 +05:30
Vinayak Mehta 27fa226c71 Fix merge conflict 2018-12-22 11:07:24 +05:30
Vinayak Mehta 175ba32d38 Merge pull request #234 from socialcopsdev/add-060-kwargs
[MRG] Add more configuration parameters
2018-12-21 16:56:30 +05:30
Vinayak Mehta be1f0a2884 Update advanced docs 2018-12-21 16:32:44 +05:30
Vinayak Mehta 50b4468aff Rename kwargs and add tests 2018-12-21 15:09:37 +05:30
Vinayak Mehta f6aa21c31f Add strip_text 2018-12-20 16:32:16 +05:30
Vinayak Mehta a38d52c7b2 Fix plot tests 2018-12-20 15:44:28 +05:30
Vinayak Mehta 3f5af18738 Add resolution 2018-12-20 15:01:29 +05:30
Vinayak Mehta e0090fbb0a Add edge close tolerance 2018-12-20 13:58:54 +05:30
Vinayak Mehta e89e147b5c Merge pull request #232 from socialcopsdev/pdfminer_kwargs
[MRG] Add option to pass pdfminer kwargs
2018-12-19 18:45:33 +05:30
Vinayak Mehta e0cb935130 Fix docs 2018-12-19 18:45:17 +05:30
Vinayak Mehta 17d48be46e Add test 2018-12-19 18:31:54 +05:30
Vinayak Mehta 48b2dce633 Update advanced docs 2018-12-19 18:19:39 +05:30
Vinayak Mehta 736fb25b56 Change gs resolution 2018-12-18 20:47:09 +05:30
Vinayak Mehta 9e79a795b8 Add GhostscriptError 2018-12-18 09:14:21 +05:30
Vinayak Mehta 23a25832ae Update requirements.txt 2018-12-18 07:45:01 +05:30
Vinayak Mehta 4938c48853 Remove _errors and ghostscript test 2018-12-18 07:43:52 +05:30
Vinayak Mehta 9879a87c6f Add ghostscript 2018-12-17 19:09:57 +05:30
Vinayak Mehta 9aa219695f Fix merge conflict 2018-12-17 15:33:38 +05:30
Vinayak Mehta 6301fee523 Fix AttributeError 2018-12-17 12:00:41 +05:30
Vinayak Mehta 01dab12fbc Fix SyntaxError 2018-12-17 11:53:00 +05:30
Vinayak Mehta ca6cefa362 Add extra_kwargs 2018-12-17 11:49:05 +05:30
Vinayak Mehta d918293fea Merge pull request #146 from eamanu/Add_usage_examples_in_the_cli_documentation
[MRG + 1] Add CLI usage examples
2018-12-14 13:52:59 +05:30
Vinayak Mehta eb7be9c8e6 Add equivalent CLI examples 2018-12-14 13:39:05 +05:30
Vinayak Mehta 3ef50f6f8d Fix cli.rst 2018-12-14 12:57:32 +05:30
Emmanuel Arias 2dc48f43d6 Add CLI documentation, clean cli example command 2018-12-14 12:55:11 +05:30
Emmanuel Arias d662819755 Add usage example to cli 2018-12-14 12:53:06 +05:30
Vinayak Mehta 153869fda2 Update HISTORY.md and bump version
Update HISTORY.md
2018-12-13 16:46:17 +05:30
Vinayak Mehta f8eaec4ce4 Merge pull request #227 from socialcopsdev/fix-050-bugs
Fix v0.5.0 bugs
2018-12-13 16:29:47 +05:30
Vinayak Mehta d83d5fae42 Fix tests
Fix tests
2018-12-13 16:06:48 +05:30
Vinayak Mehta 69136431b6 Fix #215 2018-12-13 14:36:50 +05:30
Vinayak Mehta ff4d8ce228 Add test for arabic 2018-12-13 13:13:07 +05:30
Vinayak Mehta 5e71f0b0e6 Fix #192 2018-12-13 12:50:30 +05:30
Vinayak Mehta 33cea45346 Fix #105 2018-12-13 00:45:22 +05:30
Vinayak Mehta 40217bea46 Merge pull request #225 from socialcopsdev/fix-204
[MRG] Change suppress_warnings to suppress_stdout
2018-12-12 10:34:08 +05:30
Vinayak Mehta 591cfd5291 Change kwarg name 2018-12-12 10:15:04 +05:30
Vinayak Mehta de0079a711 Update HISTORY.md 2018-12-12 09:59:22 +05:30
Vinayak Mehta e50f9c8847 Change suppress_warnings to verbose 2018-12-12 09:58:34 +05:30
Vinayak Mehta 50780e24f8 Merge pull request #224 from socialcopsdev/fix-207
[MRG] Add plot types and update docs
2018-12-12 08:53:58 +05:30
Vinayak Mehta 92e02fa03d Update HISTORY.md 2018-12-12 08:26:59 +05:30
Vinayak Mehta 656c4e09bc Update docs 2018-12-12 08:18:49 +05:30
Vinayak Mehta b56d2246ad Add new plot type tests 2018-12-12 08:09:52 +05:30
Vinayak Mehta 87a2f4fdc9 Add textedge plot type 2018-12-12 07:36:07 +05:30
Vinayak Mehta 451fac9e53 Add updated stream benchmark 2018-12-11 21:28:42 +05:30
Vinayak Mehta 649fd67c44 Rename file 2018-12-11 21:17:50 +05:30
Vinayak Mehta e45e7478bf Add updated stream benchmark 2018-12-11 21:16:16 +05:30
Vinayak Mehta d6ffe0f1a9 Add pdfplumber benchmark 2018-12-11 20:34:43 +05:30
Vinayak Mehta 423e5f8aad Merge pull request #221 from socialcopsdev/fix-217
[MRG] Fix variable name
2018-12-07 20:51:13 +05:30
Vinayak Mehta 619ce2e2a4 Fix grid plot baseline image 2018-12-07 20:22:56 +05:30
Vinayak Mehta 8d8ca6e435 Fix variable name 2018-12-07 18:45:23 +05:30
Vinayak Mehta 1f0a1c0c68 Merge pull request #218 from socialcopsdev/add-chardet
Add chardet to install_requires
2018-12-05 21:00:22 +05:30
Vinayak Mehta cb3e76726b Bump version 2018-12-05 20:10:25 +05:30
Vinayak Mehta 2635f910e4 Add chardet to install_requires 2018-12-05 20:08:37 +05:30
Vinayak Mehta 7bdd9a3156 Update docs 2018-12-01 06:29:35 +05:30
Vinayak Mehta 6df88f90fb Update HISTORY.md 2018-11-23 21:39:42 +05:30
Vinayak Mehta e4af252280 Update HISTORY.md 2018-11-23 21:37:40 +05:30
Vinayak Mehta e7835cac33 Merge pull request #206 from socialcopsdev/stream-nurminen-detection
[MRG] Add implementation of Anssi Nurminen's table detection algorithm
2018-11-23 21:35:03 +05:30
Vinayak Mehta 23ec6b55f7 Add docstrings and update docs 2018-11-23 21:04:10 +05:30
Vinayak Mehta 1f71513004 Fix no table found warning and add tests for two tables 2018-11-23 19:28:55 +05:30
Vinayak Mehta bf894116d2 Update test data 2018-11-23 04:25:04 +05:30
Vinayak Mehta 0251422e33 Add fix to include table headers 2018-11-23 03:27:23 +05:30
Vinayak Mehta a1e1fd781d Fix comments 2018-11-23 02:51:22 +05:30
Vinayak Mehta 9b67b271e4 Add atol and fix variable declaration 2018-11-23 02:44:55 +05:30
Vinayak Mehta 9b5782f9ba Fix indent 2018-11-22 20:05:30 +05:30
Vinayak Mehta bcde67fe17 Add constant to include table headers 2018-11-22 19:56:16 +05:30
Vinayak Mehta 529914eb6f Update comment 2018-11-22 19:50:59 +05:30
Vinayak Mehta 4e2aee18c3 Add get_table_areas textedges method 2018-11-22 19:48:51 +05:30
Vinayak Mehta a587ea3782 Add get_relevant textedges method 2018-11-22 18:24:31 +05:30
Vinayak Mehta 378408a271 Remove debug statements 2018-11-22 05:42:10 +05:30
Vinayak Mehta 123227aa8c Add TextEdge and TextEdges helper classes 2018-11-22 05:31:02 +05:30
Vinayak Mehta cd3aa38f7e Change table to grid (#196) 2018-11-06 19:18:45 +05:30
Vinayak Mehta b310f16dba Bump version and update HISTORY.md 2018-11-04 01:37:27 +05:30
Vinayak Mehta defaead679 Add table bbox attribute (#193) 2018-11-04 01:33:41 +05:30
Palash Chatterjee a60ce38d4d [MRG + 1] Fix the order of coordinates in docs (#191) 2018-11-03 01:06:44 +05:30
Vinayak Mehta 36006cadc5 Bump version and update HISTORY.md 2018-11-02 23:25:07 +05:30
Vinayak Mehta db3f8c6897 [MRG] Make matplotlib optional (#190)
* Rename png files

* Convert plot to PlotMethods class and update docs

* Update test

* Update setup.py and docs

* Refactor PlotMethods

* Make matplotlib optional

* Raise ImportError in cli
2018-11-02 23:16:03 +05:30
Suyash Behera c0e9235164 [MRG + 1] Create a new figure and test each plot type #127 (#179)
* [MRG] Create a new figure and test each plot type #127

 - move `plot()` to `plotting.py` as `plot_pdf()`
 - modify plotting functions to return matplotlib figures
 - add `test_plotting.py` and baseline images
 - import `plot_pdf()` in `__init__`
 - update `cli.py` to use `plot_pdf()`
 - update advanced usage docs to reflect changes

* Change matplotlib backend for image comparison tests

* Update plotting and tests
 - use matplotlib rectangle instead of `cv2.rectangle` in
`plot_contour()`
 - set matplotlib backend in `tests/__init__`
 - update contour plot baseline image
 - update `test_plotting` with more checks

* Update plot tests and config
 - remove unnecessary asserts
 - update setup.cfg and makefile with `--mpl`

* Add  to

* Add tolerance

* remove text from baseline plots
update plot tests with `remove_text`

* Change method name, update docs and add pep8

* Update docs
2018-11-02 20:57:02 +05:30
Vinayak Mehta 79db6e3d1b Add gitter badge 2018-10-31 17:33:40 +05:30
Vinayak Mehta 29f22ad1a6 Update conda definition 2018-10-30 23:48:56 +05:30
Vinayak Mehta e8af4c2c1c Update conda install instructions 2018-10-30 23:36:31 +05:30
Vinayak Mehta 220d6ad29c Fix cli doc 2018-10-29 01:03:36 +05:30
Vinayak Mehta 455b6d7961 Add apt update 2018-10-07 13:58:09 +05:30
Vinayak Mehta 2527512f63 Replace gs subprocess call (Wand experiment)
Replace gs subprocess call

Update requirements.txt
2018-10-07 13:39:44 +05:30
83 changed files with 6815 additions and 1299 deletions
+2 -1
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@@ -1,2 +1,3 @@
[run] [run]
branch = True branch = True
omit = camelot/ext/*
+12
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@@ -0,0 +1,12 @@
version = 1
exclude_patterns = [
"camelot/ext/**"
]
[[analyzers]]
name = "python"
enabled = true
[analyzers.meta]
runtime_version = "3.x.x"
+1
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@@ -0,0 +1 @@
open_collective: camelot
+4 -1
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@@ -12,5 +12,8 @@ coverage.xml
.pytest_cache/ .pytest_cache/
_build/ _build/
.venv/
htmlcov/
# vscode # vscode
.vscode .vscode
+24
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@@ -0,0 +1,24 @@
# .readthedocs.yml
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# Required
version: 2
# Build documentation in the docs/ directory with Sphinx
sphinx:
configuration: docs/conf.py
# Build documentation with MkDocs
#mkdocs:
# configuration: mkdocs.yml
# Optionally build your docs in additional formats such as PDF
formats:
- pdf
# Optionally set the version of Python and requirements required to build your docs
python:
version: 3.8
install:
- requirements: requirements.txt
+6 -9
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@@ -8,14 +8,6 @@ install:
- make install - make install
jobs: jobs:
include: include:
- stage: test
script:
- make test
python: '2.7'
- stage: test
script:
- make test
python: '3.5'
- stage: test - stage: test
script: script:
- make test - make test
@@ -25,8 +17,13 @@ jobs:
- make test - make test
python: '3.7' python: '3.7'
dist: xenial dist: xenial
- stage: test
script:
- make test
python: '3.8'
dist: xenial
- stage: coverage - stage: coverage
python: '3.6' python: '3.8'
script: script:
- make test - make test
- codecov --verbose - codecov --verbose
+4 -4
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@@ -16,14 +16,14 @@ As the [Requests Code Of Conduct](http://docs.python-requests.org/en/master/dev/
## Your first contribution ## Your first contribution
A great way to start contributing to Camelot is to pick an issue tagged with the [help wanted](https://github.com/socialcopsdev/camelot/labels/help%20wanted) tag or the [good first issue](https://github.com/socialcopsdev/camelot/labels/good%20first%20issue) tag. If you're unable to find a good first issue, feel free to contact the maintainer. A great way to start contributing to Camelot is to pick an issue tagged with the [help wanted](https://github.com/camelot-dev/camelot/labels/help%20wanted) tag or the [good first issue](https://github.com/camelot-dev/camelot/labels/good%20first%20issue) tag. If you're unable to find a good first issue, feel free to contact the maintainer.
## Setting up a development environment ## Setting up a development environment
To install the dependencies needed for development, you can use pip: To install the dependencies needed for development, you can use pip:
<pre> <pre>
$ pip install camelot-py[dev] $ pip install "camelot-py[dev]"
</pre> </pre>
Alternatively, you can clone the project repository, and install using pip: Alternatively, you can clone the project repository, and install using pip:
@@ -36,7 +36,7 @@ $ pip install ".[dev]"
### Submit a pull request ### Submit a pull request
The preferred workflow for contributing to Camelot is to fork the [project repository](https://github.com/socialcopsdev/camelot) on GitHub, clone, develop on a branch and then finally submit a pull request. Here are the steps: The preferred workflow for contributing to Camelot is to fork the [project repository](https://github.com/camelot-dev/camelot) on GitHub, clone, develop on a branch and then finally submit a pull request. Here are the steps:
1. Fork the project repository. Click on the Fork button near the top of the page. This creates a copy of the code under your account on the GitHub. 1. Fork the project repository. Click on the Fork button near the top of the page. This creates a copy of the code under your account on the GitHub.
@@ -106,7 +106,7 @@ The function docstrings are written using the [numpydoc](https://numpydoc.readth
## Filing Issues ## Filing Issues
We use [GitHub issues](https://github.com/socialcopsdev/camelot/issues) to keep track of all issues and pull requests. Before opening an issue (which asks a question or reports a bug), please use GitHub search to look for existing issues (both open and closed) that may be similar. We use [GitHub issues](https://github.com/camelot-dev/camelot/issues) to keep track of all issues and pull requests. Before opening an issue (which asks a question or reports a bug), please use GitHub search to look for existing issues (both open and closed) that may be similar.
### Questions ### Questions
+141
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@@ -4,6 +4,147 @@ Release History
master master
------ ------
0.8.2 (2020-07-27)
------------------
* Revert the changes in `0.8.1`.
0.8.1 (2020-07-21)
------------------
**Bugfixes**
* [#169](https://github.com/camelot-dev/camelot/issues/169) Fix import error caused by `pdfminer.six==20200720`. [#171](https://github.com/camelot-dev/camelot/pull/171) by Vinayak Mehta.
0.8.0 (2020-05-24)
------------------
**Improvements**
* Drop Python 2 support!
* Remove Python 2.7 and 3.5 support.
* Replace all instances of `.format` with f-strings.
* Remove all `__future__` imports.
* Fix HTTP 403 forbidden exception in read_pdf(url) and remove Python 2 urllib support.
* Fix test data.
**Bugfixes**
* Fix library discovery on Windows. [#32](https://github.com/camelot-dev/camelot/pull/32) by [KOLANICH](https://github.com/KOLANICH).
* Fix calling convention of callback functions. [#34](https://github.com/camelot-dev/camelot/pull/34) by [KOLANICH](https://github.com/KOLANICH).
0.7.3 (2019-07-07)
------------------
**Improvements**
* Camelot now follows the Black code style! [#1](https://github.com/camelot-dev/camelot/pull/1) and [#3](https://github.com/camelot-dev/camelot/pull/3).
**Bugfixes**
* Fix Click.HelpFormatter monkey-patch. [#5](https://github.com/camelot-dev/camelot/pull/5) by [Dimiter Naydenov](https://github.com/dimitern).
* Fix strip_text argument getting ignored. [#4](https://github.com/camelot-dev/camelot/pull/4) by [Dimiter Naydenov](https://github.com/dimitern).
* [#25](https://github.com/camelot-dev/camelot/issues/25) edge_tol skipped in read_pdf. [#26](https://github.com/camelot-dev/camelot/pull/26) by Vinayak Mehta.
* Fix pytest deprecation warning. [#2](https://github.com/camelot-dev/camelot/pull/2) by Vinayak Mehta.
* [#293](https://github.com/socialcopsdev/camelot/issues/293) Split text ignores all text to the right of last cut. [#294](https://github.com/socialcopsdev/camelot/pull/294) by Vinayak Mehta.
* [#277](https://github.com/socialcopsdev/camelot/issues/277) Sort TableList by order of tables in PDF. [#283](https://github.com/socialcopsdev/camelot/pull/283) by [Sym Roe](https://github.com/symroe).
* [#312](https://github.com/socialcopsdev/camelot/issues/312) `table_regions` throws `ValueError` when `flavor='stream'`. [#332](https://github.com/socialcopsdev/camelot/pull/332) by Vinayak Mehta.
0.7.2 (2019-01-10)
------------------
**Bugfixes**
* [#245](https://github.com/socialcopsdev/camelot/issues/245) Fix AttributeError for encrypted files. [#251](https://github.com/socialcopsdev/camelot/pull/251) by Yatin Taluja.
0.7.1 (2019-01-06)
------------------
**Bugfixes**
* Move ghostscript import to inside the function so Anaconda builds don't fail.
0.7.0 (2019-01-05)
------------------
**Improvements**
* [#240](https://github.com/socialcopsdev/camelot/issues/209) Add support to analyze only certain page regions to look for tables. [#243](https://github.com/socialcopsdev/camelot/pull/243) by Vinayak Mehta.
* You can use `table_regions` in `read_pdf()` to specify approximate page regions which may contain tables.
* Kwarg `line_size_scaling` is now called `line_scale`.
* [#212](https://github.com/socialcopsdev/camelot/issues/212) Add support to export as sqlite database. [#244](https://github.com/socialcopsdev/camelot/pull/244) by Vinayak Mehta.
* [#239](https://github.com/socialcopsdev/camelot/issues/239) Raise warning if PDF is image-based. [#240](https://github.com/socialcopsdev/camelot/pull/240) by Vinayak Mehta.
**Documentation**
* Remove mention of old mesh kwarg from docs. [#241](https://github.com/socialcopsdev/camelot/pull/241) by [fte10kso](https://github.com/fte10kso).
**Note**: The python wrapper to Ghostscript's C API is now vendorized under the `ext` module. This was done due to unavailability of the [ghostscript](https://pypi.org/project/ghostscript/) package on Anaconda. The code should be removed after we submit a recipe for it to conda-forge. With this release, the user doesn't need to ensure that the Ghostscript executable is available on the PATH variable.
0.6.0 (2018-12-24)
------------------
**Improvements**
* [#91](https://github.com/socialcopsdev/camelot/issues/91) Add support to read from url. [#236](https://github.com/socialcopsdev/camelot/pull/236) by Vinayak Mehta.
* [#229](https://github.com/socialcopsdev/camelot/issues/229), [#230](https://github.com/socialcopsdev/camelot/issues/230) and [#233](https://github.com/socialcopsdev/camelot/issues/233) New configuration parameters. [#234](https://github.com/socialcopsdev/camelot/pull/234) by Vinayak Mehta.
* `strip_text`: To define characters that should be stripped from each string.
* `edge_tol`: Tolerance parameter for extending textedges vertically.
* `resolution`: Resolution used for PDF to PNG conversion.
* Check out the [advanced docs](https://camelot-py.readthedocs.io/en/master/user/advanced.html#strip-characters-from-text) for usage details.
* [#170](https://github.com/socialcopsdev/camelot/issues/170) Add option to pass pdfminer layout kwargs. [#232](https://github.com/socialcopsdev/camelot/pull/232) by Vinayak Mehta.
* Keyword arguments for [pdfminer.layout.LAParams](https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33) can now be passed using `layout_kwargs` in `read_pdf()`.
* The `margins` keyword argument in `read_pdf()` is now deprecated.
0.5.0 (2018-12-13)
------------------
**Improvements**
* [#207](https://github.com/socialcopsdev/camelot/issues/207) Add a plot type for Stream text edges and detected table areas. [#224](https://github.com/socialcopsdev/camelot/pull/224) by Vinayak Mehta.
* [#204](https://github.com/socialcopsdev/camelot/issues/204) `suppress_warnings` is now called `suppress_stdout`. [#225](https://github.com/socialcopsdev/camelot/pull/225) by Vinayak Mehta.
**Bugfixes**
* [#217](https://github.com/socialcopsdev/camelot/issues/217) Fix IndexError when scale is large.
* [#105](https://github.com/socialcopsdev/camelot/issues/105), [#192](https://github.com/socialcopsdev/camelot/issues/192) and [#215](https://github.com/socialcopsdev/camelot/issues/215) in [#227](https://github.com/socialcopsdev/camelot/pull/227) by Vinayak Mehta.
**Documentation**
* Add pdfplumber comparison and update Tabula (stream) comparison. Check out the [wiki page](https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools).
0.4.1 (2018-12-05)
------------------
**Bugfixes**
* Add chardet to `install_requires` to fix [#210](https://github.com/socialcopsdev/camelot/issues/210). More details in [pdfminer.six#213](https://github.com/pdfminer/pdfminer.six/issues/213).
0.4.0 (2018-11-23)
------------------
**Improvements**
* [#102](https://github.com/socialcopsdev/camelot/issues/102) Detect tables automatically when Stream is used. [#206](https://github.com/socialcopsdev/camelot/pull/206) Add implementation of Anssi Nurminen's table detection algorithm by Vinayak Mehta.
0.3.2 (2018-11-04)
------------------
**Improvements**
* [#186](https://github.com/socialcopsdev/camelot/issues/186) Add `_bbox` attribute to table. [#193](https://github.com/socialcopsdev/camelot/pull/193) by Vinayak Mehta.
* You can use `table._bbox` to get coordinates of the detected table.
0.3.1 (2018-11-02)
------------------
**Improvements**
* Matplotlib is now an optional requirement. [#190](https://github.com/socialcopsdev/camelot/pull/190) by Vinayak Mehta.
* You can install it using `$ pip install camelot-py[plot]`.
* [#127](https://github.com/socialcopsdev/camelot/issues/127) Add tests for plotting. Coverage is now at 87%! [#179](https://github.com/socialcopsdev/camelot/pull/179) by [Suyash Behera](https://github.com/Suyash458).
0.3.0 (2018-10-28) 0.3.0 (2018-10-28)
------------------ ------------------
+6
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@@ -1,5 +1,11 @@
MIT License MIT License
Modifications:
Copyright (c) 2019 Camelot Developers
Original project:
Copyright (c) 2018 Peeply Private Ltd (Singapore) Copyright (c) 2018 Peeply Private Ltd (Singapore)
Permission is hereby granted, free of charge, to any person obtaining a copy Permission is hereby granted, free of charge, to any person obtaining a copy
+2 -2
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@@ -15,7 +15,7 @@ install:
pip install ".[dev]" pip install ".[dev]"
test: test:
pytest --verbose --cov-config .coveragerc --cov-report term --cov-report xml --cov=camelot tests pytest --verbose --cov-config .coveragerc --cov-report term --cov-report xml --cov=camelot --mpl
docs: docs:
cd docs && make html cd docs && make html
@@ -25,4 +25,4 @@ publish:
pip install twine pip install twine
python setup.py sdist python setup.py sdist
twine upload dist/* twine upload dist/*
rm -fr build dist .egg camelot_py.egg-info rm -fr build dist .egg camelot_py.egg-info
+31 -27
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@@ -1,12 +1,14 @@
<p align="center"> <p align="center">
<img src="https://raw.githubusercontent.com/socialcopsdev/camelot/master/docs/_static/camelot.png" width="200"> <img src="https://raw.githubusercontent.com/camelot-dev/camelot/master/docs/_static/camelot.png" width="200">
</p> </p>
# Camelot: PDF Table Extraction for Humans # Camelot: PDF Table Extraction for Humans
[![Build Status](https://travis-ci.org/socialcopsdev/camelot.svg?branch=master)](https://travis-ci.org/socialcopsdev/camelot) [![Documentation Status](https://readthedocs.org/projects/camelot-py/badge/?version=master)](https://camelot-py.readthedocs.io/en/master/) [![Build Status](https://travis-ci.org/camelot-dev/camelot.svg?branch=master)](https://travis-ci.org/camelot-dev/camelot) [![Documentation Status](https://readthedocs.org/projects/camelot-py/badge/?version=master)](https://camelot-py.readthedocs.io/en/master/)
[![codecov.io](https://codecov.io/github/socialcopsdev/camelot/badge.svg?branch=master&service=github)](https://codecov.io/github/socialcopsdev/camelot?branch=master) [![codecov.io](https://codecov.io/github/camelot-dev/camelot/badge.svg?branch=master&service=github)](https://codecov.io/github/camelot-dev/camelot?branch=master)
[![image](https://img.shields.io/pypi/v/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/l/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/pyversions/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/v/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/l/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![image](https://img.shields.io/pypi/pyversions/camelot-py.svg)](https://pypi.org/project/camelot-py/) [![Gitter chat](https://badges.gitter.im/camelot-dev/Lobby.png)](https://gitter.im/camelot-dev/Lobby)
[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) [![image](https://img.shields.io/badge/continous%20quality-deepsource-lightgrey)](https://deepsource.io/gh/camelot-dev/camelot/?ref=repository-badge)
**Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files! **Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files!
@@ -14,14 +16,14 @@
--- ---
**Here's how you can extract tables from PDF files.** Check out the PDF used in this example [here](https://github.com/socialcopsdev/camelot/blob/master/docs/_static/pdf/foo.pdf). **Here's how you can extract tables from PDF files.** Check out the PDF used in this example [here](https://github.com/camelot-dev/camelot/blob/master/docs/_static/pdf/foo.pdf).
<pre> <pre>
>>> import camelot >>> import camelot
>>> tables = camelot.read_pdf('foo.pdf') >>> tables = camelot.read_pdf('foo.pdf')
>>> tables >>> tables
&lt;TableList n=1&gt; &lt;TableList n=1&gt;
>>> tables.export('foo.csv', f='csv', compress=True) # json, excel, html >>> tables.export('foo.csv', f='csv', compress=True) # json, excel, html, sqlite
>>> tables[0] >>> tables[0]
&lt;Table shape=(7, 7)&gt; &lt;Table shape=(7, 7)&gt;
>>> tables[0].parsing_report >>> tables[0].parsing_report
@@ -31,7 +33,7 @@
'order': 1, 'order': 1,
'page': 1 'page': 1
} }
>>> tables[0].to_csv('foo.csv') # to_json, to_excel, to_html >>> tables[0].to_csv('foo.csv') # to_json, to_excel, to_html, to_sqlite
>>> tables[0].df # get a pandas DataFrame! >>> tables[0].df # get a pandas DataFrame!
</pre> </pre>
@@ -53,34 +55,26 @@ There's a [command-line interface](https://camelot-py.readthedocs.io/en/master/u
- **You are in control.**: Unlike other libraries and tools which either give a nice output or fail miserably (with no in-between), Camelot gives you the power to tweak table extraction. (This is important since everything in the real world, including PDF table extraction, is fuzzy.) - **You are in control.**: Unlike other libraries and tools which either give a nice output or fail miserably (with no in-between), Camelot gives you the power to tweak table extraction. (This is important since everything in the real world, including PDF table extraction, is fuzzy.)
- *Bad* tables can be discarded based on **metrics** like accuracy and whitespace, without ever having to manually look at each table. - *Bad* tables can be discarded based on **metrics** like accuracy and whitespace, without ever having to manually look at each table.
- Each table is a **pandas DataFrame**, which seamlessly integrates into [ETL and data analysis workflows](https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873). - Each table is a **pandas DataFrame**, which seamlessly integrates into [ETL and data analysis workflows](https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873).
- **Export** to multiple formats, including JSON, Excel and HTML. - **Export** to multiple formats, including JSON, Excel, HTML and Sqlite.
See [comparison with other PDF table extraction libraries and tools](https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools). See [comparison with other PDF table extraction libraries and tools](https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools).
## Installation ## Installation
### Using conda ### Using conda
The easiest way to install Camelot is to install it with [conda](https://conda.io/docs/), which is the package manager that the [Anaconda](http://docs.continuum.io/anaconda/) distribution is built upon. The easiest way to install Camelot is to install it with [conda](https://conda.io/docs/), which is a package manager and environment management system for the [Anaconda](http://docs.continuum.io/anaconda/) distribution.
First, let's add the [conda-forge](https://conda-forge.org/) channel to conda's config:
<pre> <pre>
$ conda config --add channels conda-forge $ conda install -c conda-forge camelot-py
</pre>
Now, you can simply use conda to install Camelot:
<pre>
$ conda install -c camelot-dev camelot-py
</pre> </pre>
### Using pip ### Using pip
After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install.html#using-pip) ([tk](https://packages.ubuntu.com/trusty/python-tk) and [ghostscript](https://www.ghostscript.com/)), you can simply use pip to install Camelot: After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install-deps.html) ([tk](https://packages.ubuntu.com/bionic/python/python-tk) and [ghostscript](https://www.ghostscript.com/)), you can simply use pip to install Camelot:
<pre> <pre>
$ pip install camelot-py[all] $ pip install "camelot-py[cv]"
</pre> </pre>
### From the source code ### From the source code
@@ -88,14 +82,14 @@ $ pip install camelot-py[all]
After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install.html#using-pip), clone the repo using: After [installing the dependencies](https://camelot-py.readthedocs.io/en/master/user/install.html#using-pip), clone the repo using:
<pre> <pre>
$ git clone https://www.github.com/socialcopsdev/camelot $ git clone https://www.github.com/camelot-dev/camelot
</pre> </pre>
and install Camelot using pip: and install Camelot using pip:
<pre> <pre>
$ cd camelot $ cd camelot
$ pip install ".[all]" $ pip install ".[cv]"
</pre> </pre>
## Documentation ## Documentation
@@ -111,7 +105,7 @@ The [Contributor's Guide](https://camelot-py.readthedocs.io/en/master/dev/contri
You can check the latest sources with: You can check the latest sources with:
<pre> <pre>
$ git clone https://www.github.com/socialcopsdev/camelot $ git clone https://www.github.com/camelot-dev/camelot
</pre> </pre>
### Setting up a development environment ### Setting up a development environment
@@ -119,7 +113,7 @@ $ git clone https://www.github.com/socialcopsdev/camelot
You can install the development dependencies easily, using pip: You can install the development dependencies easily, using pip:
<pre> <pre>
$ pip install camelot-py[dev] $ pip install "camelot-py[dev]"
</pre> </pre>
### Testing ### Testing
@@ -130,10 +124,20 @@ After installation, you can run tests using:
$ python setup.py test $ python setup.py test
</pre> </pre>
## Wrappers
- [camelot-php](https://github.com/randomstate/camelot-php) provides a [PHP](https://www.php.net/) wrapper on Camelot.
## Versioning ## Versioning
Camelot uses [Semantic Versioning](https://semver.org/). For the available versions, see the tags on this repository. For the changelog, you can check out [HISTORY.md](https://github.com/socialcopsdev/camelot/blob/master/HISTORY.md). Camelot uses [Semantic Versioning](https://semver.org/). For the available versions, see the tags on this repository. For the changelog, you can check out [HISTORY.md](https://github.com/camelot-dev/camelot/blob/master/HISTORY.md).
## License ## License
This project is licensed under the MIT License, see the [LICENSE](https://github.com/socialcopsdev/camelot/blob/master/LICENSE) file for details. This project is licensed under the MIT License, see the [LICENSE](https://github.com/camelot-dev/camelot/blob/master/LICENSE) file for details.
## Support the development
You can support our work on Camelot with a one-time or monthly donation [on OpenCollective](https://opencollective.com/camelot). Organizations who use camelot can also sponsor the project for an acknowledgement on [our documentation site](https://camelot-py.readthedocs.io/en/master/) and this README.
Special thanks to all the users, organizations and contributors that support Camelot!
+7 -13
View File
@@ -2,26 +2,20 @@
import logging import logging
from click import HelpFormatter
from .__version__ import __version__ from .__version__ import __version__
from .io import read_pdf from .io import read_pdf
from .plotting import PlotMethods
def _write_usage(self, prog, args='', prefix='Usage: '):
return self._write_usage('camelot', args, prefix=prefix)
# monkey patch click.HelpFormatter
HelpFormatter._write_usage = HelpFormatter.write_usage
HelpFormatter.write_usage = _write_usage
# set up logging # set up logging
logger = logging.getLogger('camelot') logger = logging.getLogger("camelot")
format_string = '%(asctime)s - %(levelname)s - %(message)s' format_string = "%(asctime)s - %(levelname)s - %(message)s"
formatter = logging.Formatter(format_string, datefmt='%Y-%m-%dT%H:%M:%S') formatter = logging.Formatter(format_string, datefmt="%Y-%m-%dT%H:%M:%S")
handler = logging.StreamHandler() handler = logging.StreamHandler()
handler.setFormatter(formatter) handler.setFormatter(formatter)
logger.addHandler(handler) logger.addHandler(handler)
# instantiate plot method
plot = PlotMethods()
+1 -3
View File
@@ -1,9 +1,7 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
from __future__ import absolute_import
__all__ = ("main",)
__all__ = ('main',)
def main(): def main():
+20 -8
View File
@@ -1,11 +1,23 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
VERSION = (0, 3, 0) VERSION = (0, 8, 2)
PRERELEASE = None # alpha, beta or rc
REVISION = None
__title__ = 'camelot-py'
__description__ = 'PDF Table Extraction for Humans.' def generate_version(version, prerelease=None, revision=None):
__url__ = 'http://camelot-py.readthedocs.io/' version_parts = [".".join(map(str, version))]
__version__ = '.'.join(map(str, VERSION)) if prerelease is not None:
__author__ = 'Vinayak Mehta' version_parts.append(f"-{prerelease}")
__author_email__ = 'vmehta94@gmail.com' if revision is not None:
__license__ = 'MIT License' version_parts.append(f".{revision}")
return "".join(version_parts)
__title__ = "camelot-py"
__description__ = "PDF Table Extraction for Humans."
__url__ = "http://camelot-py.readthedocs.io/"
__version__ = generate_version(VERSION, prerelease=PRERELEASE, revision=REVISION)
__author__ = "Vinayak Mehta"
__author_email__ = "vmehta94@gmail.com"
__license__ = "MIT License"
+247 -105
View File
@@ -4,11 +4,17 @@ import logging
import click import click
from . import __version__ try:
from .io import read_pdf import matplotlib.pyplot as plt
except ImportError:
_HAS_MPL = False
else:
_HAS_MPL = True
from . import __version__, read_pdf, plot
logger = logging.getLogger('camelot') logger = logging.getLogger("camelot")
logger.setLevel(logging.INFO) logger.setLevel(logging.INFO)
@@ -23,23 +29,49 @@ class Config(object):
pass_config = click.make_pass_decorator(Config) pass_config = click.make_pass_decorator(Config)
@click.group() @click.group(name="camelot")
@click.version_option(version=__version__) @click.version_option(version=__version__)
@click.option('-p', '--pages', default='1', help='Comma-separated page numbers.' @click.option("-q", "--quiet", is_flag=False, help="Suppress logs and warnings.")
' Example: 1,3,4 or 1,4-end.') @click.option(
@click.option('-pw', '--password', help='Password for decryption.') "-p",
@click.option('-o', '--output', help='Output file path.') "--pages",
@click.option('-f', '--format', default="1",
type=click.Choice(['csv', 'json', 'excel', 'html']), help="Comma-separated page numbers." " Example: 1,3,4 or 1,4-end or all.",
help='Output file format.') )
@click.option('-z', '--zip', is_flag=True, help='Create ZIP archive.') @click.option("-pw", "--password", help="Password for decryption.")
@click.option('-split', '--split_text', is_flag=True, @click.option("-o", "--output", help="Output file path.")
help='Split text that spans across multiple cells.') @click.option(
@click.option('-flag', '--flag_size', is_flag=True, help='Flag text based on' "-f",
' font size. Useful to detect super/subscripts.') "--format",
@click.option('-M', '--margins', nargs=3, default=(1.0, 0.5, 0.1), type=click.Choice(["csv", "json", "excel", "html", "sqlite"]),
help='PDFMiner char_margin, line_margin and word_margin.') help="Output file format.",
@click.option('-q', '--quiet', is_flag=True, help='Suppress warnings.') )
@click.option("-z", "--zip", is_flag=True, help="Create ZIP archive.")
@click.option(
"-split",
"--split_text",
is_flag=True,
help="Split text that spans across multiple cells.",
)
@click.option(
"-flag",
"--flag_size",
is_flag=True,
help="Flag text based on" " font size. Useful to detect super/subscripts.",
)
@click.option(
"-strip",
"--strip_text",
help="Characters that should be stripped from a string before"
" assigning it to a cell.",
)
@click.option(
"-M",
"--margins",
nargs=3,
default=(1.0, 0.5, 0.1),
help="PDFMiner char_margin, line_margin and word_margin.",
)
@click.pass_context @click.pass_context
def cli(ctx, *args, **kwargs): def cli(ctx, *args, **kwargs):
"""Camelot: PDF Table Extraction for Humans""" """Camelot: PDF Table Extraction for Humans"""
@@ -48,115 +80,225 @@ def cli(ctx, *args, **kwargs):
ctx.obj.set_config(key, value) ctx.obj.set_config(key, value)
@cli.command('lattice') @cli.command("lattice")
@click.option('-T', '--table_areas', default=[], multiple=True, @click.option(
help='Table areas to process. Example: x1,y1,x2,y2' "-R",
' where x1, y1 -> left-top and x2, y2 -> right-bottom.') "--table_regions",
@click.option('-back', '--process_background', is_flag=True, default=[],
help='Process background lines.') multiple=True,
@click.option('-scale', '--line_size_scaling', default=15, help="Page regions to analyze. Example: x1,y1,x2,y2"
help='Line size scaling factor. The larger the value,' " where x1, y1 -> left-top and x2, y2 -> right-bottom.",
' the smaller the detected lines.') )
@click.option('-copy', '--copy_text', default=[], type=click.Choice(['h', 'v']), @click.option(
multiple=True, help='Direction in which text in a spanning cell' "-T",
' will be copied over.') "--table_areas",
@click.option('-shift', '--shift_text', default=['l', 't'], default=[],
type=click.Choice(['', 'l', 'r', 't', 'b']), multiple=True, multiple=True,
help='Direction in which text in a spanning cell will flow.') help="Table areas to process. Example: x1,y1,x2,y2"
@click.option('-l', '--line_close_tol', default=2, " where x1, y1 -> left-top and x2, y2 -> right-bottom.",
help='Tolerance parameter used to merge close vertical' )
' and horizontal lines.') @click.option(
@click.option('-j', '--joint_close_tol', default=2, "-back", "--process_background", is_flag=True, help="Process background lines."
help='Tolerance parameter used to decide whether' )
' the detected lines and points lie close to each other.') @click.option(
@click.option('-block', '--threshold_blocksize', default=15, "-scale",
help='For adaptive thresholding, size of a pixel' "--line_scale",
' neighborhood that is used to calculate a threshold value for' default=15,
' the pixel. Example: 3, 5, 7, and so on.') help="Line size scaling factor. The larger the value,"
@click.option('-const', '--threshold_constant', default=-2, " the smaller the detected lines.",
help='For adaptive thresholding, constant subtracted' )
' from the mean or weighted mean. Normally, it is positive but' @click.option(
' may be zero or negative as well.') "-copy",
@click.option('-I', '--iterations', default=0, "--copy_text",
help='Number of times for erosion/dilation will be applied.') default=[],
@click.option('-plot', '--plot_type', type=click.Choice(["h", "v"]),
type=click.Choice(['text', 'table', 'contour', 'joint', 'line']), multiple=True,
help='Plot geometry found on PDF page, for debugging.') help="Direction in which text in a spanning cell" " will be copied over.",
@click.argument('filepath', type=click.Path(exists=True)) )
@click.option(
"-shift",
"--shift_text",
default=["l", "t"],
type=click.Choice(["", "l", "r", "t", "b"]),
multiple=True,
help="Direction in which text in a spanning cell will flow.",
)
@click.option(
"-l",
"--line_tol",
default=2,
help="Tolerance parameter used to merge close vertical" " and horizontal lines.",
)
@click.option(
"-j",
"--joint_tol",
default=2,
help="Tolerance parameter used to decide whether"
" the detected lines and points lie close to each other.",
)
@click.option(
"-block",
"--threshold_blocksize",
default=15,
help="For adaptive thresholding, size of a pixel"
" neighborhood that is used to calculate a threshold value for"
" the pixel. Example: 3, 5, 7, and so on.",
)
@click.option(
"-const",
"--threshold_constant",
default=-2,
help="For adaptive thresholding, constant subtracted"
" from the mean or weighted mean. Normally, it is positive but"
" may be zero or negative as well.",
)
@click.option(
"-I",
"--iterations",
default=0,
help="Number of times for erosion/dilation will be applied.",
)
@click.option(
"-res",
"--resolution",
default=300,
help="Resolution used for PDF to PNG conversion.",
)
@click.option(
"-plot",
"--plot_type",
type=click.Choice(["text", "grid", "contour", "joint", "line"]),
help="Plot elements found on PDF page for visual debugging.",
)
@click.argument("filepath", type=click.Path(exists=True))
@pass_config @pass_config
def lattice(c, *args, **kwargs): def lattice(c, *args, **kwargs):
"""Use lines between text to parse the table.""" """Use lines between text to parse the table."""
conf = c.config conf = c.config
pages = conf.pop('pages') pages = conf.pop("pages")
output = conf.pop('output') output = conf.pop("output")
f = conf.pop('format') f = conf.pop("format")
compress = conf.pop('zip') compress = conf.pop("zip")
suppress_warnings = conf.pop('quiet') quiet = conf.pop("quiet")
plot_type = kwargs.pop('plot_type') plot_type = kwargs.pop("plot_type")
filepath = kwargs.pop('filepath') filepath = kwargs.pop("filepath")
kwargs.update(conf) kwargs.update(conf)
table_areas = list(kwargs['table_areas']) table_regions = list(kwargs["table_regions"])
kwargs['table_areas'] = None if not table_areas else table_areas kwargs["table_regions"] = None if not table_regions else table_regions
copy_text = list(kwargs['copy_text']) table_areas = list(kwargs["table_areas"])
kwargs['copy_text'] = None if not copy_text else copy_text kwargs["table_areas"] = None if not table_areas else table_areas
kwargs['shift_text'] = list(kwargs['shift_text']) copy_text = list(kwargs["copy_text"])
kwargs["copy_text"] = None if not copy_text else copy_text
kwargs["shift_text"] = list(kwargs["shift_text"])
tables = read_pdf(filepath, pages=pages, flavor='lattice',
suppress_warnings=suppress_warnings, **kwargs)
click.echo('Found {} tables'.format(tables.n))
if plot_type is not None: if plot_type is not None:
for table in tables: if not _HAS_MPL:
table.plot(plot_type) raise ImportError("matplotlib is required for plotting.")
else: else:
if output is None: if output is None:
raise click.UsageError('Please specify output file path using --output') raise click.UsageError("Please specify output file path using --output")
if f is None: if f is None:
raise click.UsageError('Please specify output file format using --format') raise click.UsageError("Please specify output file format using --format")
tables = read_pdf(
filepath, pages=pages, flavor="lattice", suppress_stdout=quiet, **kwargs
)
click.echo(f"Found {tables.n} tables")
if plot_type is not None:
for table in tables:
plot(table, kind=plot_type)
plt.show()
else:
tables.export(output, f=f, compress=compress) tables.export(output, f=f, compress=compress)
@cli.command('stream') @cli.command("stream")
@click.option('-T', '--table_areas', default=[], multiple=True, @click.option(
help='Table areas to process. Example: x1,y1,x2,y2' "-R",
' where x1, y1 -> left-top and x2, y2 -> right-bottom.') "--table_regions",
@click.option('-C', '--columns', default=[], multiple=True, default=[],
help='X coordinates of column separators.') multiple=True,
@click.option('-r', '--row_close_tol', default=2, help='Tolerance parameter' help="Page regions to analyze. Example: x1,y1,x2,y2"
' used to combine text vertically, to generate rows.') " where x1, y1 -> left-top and x2, y2 -> right-bottom.",
@click.option('-c', '--col_close_tol', default=0, help='Tolerance parameter' )
' used to combine text horizontally, to generate columns.') @click.option(
@click.option('-plot', '--plot_type', "-T",
type=click.Choice(['text', 'table']), "--table_areas",
help='Plot geometry found on PDF page for debugging.') default=[],
@click.argument('filepath', type=click.Path(exists=True)) multiple=True,
help="Table areas to process. Example: x1,y1,x2,y2"
" where x1, y1 -> left-top and x2, y2 -> right-bottom.",
)
@click.option(
"-C",
"--columns",
default=[],
multiple=True,
help="X coordinates of column separators.",
)
@click.option(
"-e",
"--edge_tol",
default=50,
help="Tolerance parameter" " for extending textedges vertically.",
)
@click.option(
"-r",
"--row_tol",
default=2,
help="Tolerance parameter" " used to combine text vertically, to generate rows.",
)
@click.option(
"-c",
"--column_tol",
default=0,
help="Tolerance parameter"
" used to combine text horizontally, to generate columns.",
)
@click.option(
"-plot",
"--plot_type",
type=click.Choice(["text", "grid", "contour", "textedge"]),
help="Plot elements found on PDF page for visual debugging.",
)
@click.argument("filepath", type=click.Path(exists=True))
@pass_config @pass_config
def stream(c, *args, **kwargs): def stream(c, *args, **kwargs):
"""Use spaces between text to parse the table.""" """Use spaces between text to parse the table."""
conf = c.config conf = c.config
pages = conf.pop('pages') pages = conf.pop("pages")
output = conf.pop('output') output = conf.pop("output")
f = conf.pop('format') f = conf.pop("format")
compress = conf.pop('zip') compress = conf.pop("zip")
suppress_warnings = conf.pop('quiet') quiet = conf.pop("quiet")
plot_type = kwargs.pop('plot_type') plot_type = kwargs.pop("plot_type")
filepath = kwargs.pop('filepath') filepath = kwargs.pop("filepath")
kwargs.update(conf) kwargs.update(conf)
table_areas = list(kwargs['table_areas']) table_regions = list(kwargs["table_regions"])
kwargs['table_areas'] = None if not table_areas else table_areas kwargs["table_regions"] = None if not table_regions else table_regions
columns = list(kwargs['columns']) table_areas = list(kwargs["table_areas"])
kwargs['columns'] = None if not columns else columns kwargs["table_areas"] = None if not table_areas else table_areas
columns = list(kwargs["columns"])
kwargs["columns"] = None if not columns else columns
tables = read_pdf(filepath, pages=pages, flavor='stream',
suppress_warnings=suppress_warnings, **kwargs)
click.echo('Found {} tables'.format(tables.n))
if plot_type is not None: if plot_type is not None:
for table in tables: if not _HAS_MPL:
table.plot(plot_type) raise ImportError("matplotlib is required for plotting.")
else: else:
if output is None: if output is None:
raise click.UsageError('Please specify output file path using --output') raise click.UsageError("Please specify output file path using --output")
if f is None: if f is None:
raise click.UsageError('Please specify output file format using --format') raise click.UsageError("Please specify output file format using --format")
tables = read_pdf(
filepath, pages=pages, flavor="stream", suppress_stdout=quiet, **kwargs
)
click.echo(f"Found {tables.n} tables")
if plot_type is not None:
for table in tables:
plot(table, kind=plot_type)
plt.show()
else:
tables.export(output, f=f, compress=compress) tables.export(output, f=f, compress=compress)
+328 -96
View File
@@ -1,13 +1,231 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
import os import os
import sqlite3
import zipfile import zipfile
import tempfile import tempfile
from itertools import chain
from operator import itemgetter
import numpy as np import numpy as np
import pandas as pd import pandas as pd
from .plotting import *
# minimum number of vertical textline intersections for a textedge
# to be considered valid
TEXTEDGE_REQUIRED_ELEMENTS = 4
# padding added to table area on the left, right and bottom
TABLE_AREA_PADDING = 10
class TextEdge(object):
"""Defines a text edge coordinates relative to a left-bottom
origin. (PDF coordinate space)
Parameters
----------
x : float
x-coordinate of the text edge.
y0 : float
y-coordinate of bottommost point.
y1 : float
y-coordinate of topmost point.
align : string, optional (default: 'left')
{'left', 'right', 'middle'}
Attributes
----------
intersections: int
Number of intersections with horizontal text rows.
is_valid: bool
A text edge is valid if it intersections with at least
TEXTEDGE_REQUIRED_ELEMENTS horizontal text rows.
"""
def __init__(self, x, y0, y1, align="left"):
self.x = x
self.y0 = y0
self.y1 = y1
self.align = align
self.intersections = 0
self.is_valid = False
def __repr__(self):
x = round(self.x, 2)
y0 = round(self.y0, 2)
y1 = round(self.y1, 2)
return f"<TextEdge x={x} y0={y0} y1={y1} align={self.align} valid={self.is_valid}>"
def update_coords(self, x, y0, edge_tol=50):
"""Updates the text edge's x and bottom y coordinates and sets
the is_valid attribute.
"""
if np.isclose(self.y0, y0, atol=edge_tol):
self.x = (self.intersections * self.x + x) / float(self.intersections + 1)
self.y0 = y0
self.intersections += 1
# a textedge is valid only if it extends uninterrupted
# over a required number of textlines
if self.intersections > TEXTEDGE_REQUIRED_ELEMENTS:
self.is_valid = True
class TextEdges(object):
"""Defines a dict of left, right and middle text edges found on
the PDF page. The dict has three keys based on the alignments,
and each key's value is a list of camelot.core.TextEdge objects.
"""
def __init__(self, edge_tol=50):
self.edge_tol = edge_tol
self._textedges = {"left": [], "right": [], "middle": []}
@staticmethod
def get_x_coord(textline, align):
"""Returns the x coordinate of a text row based on the
specified alignment.
"""
x_left = textline.x0
x_right = textline.x1
x_middle = x_left + (x_right - x_left) / 2.0
x_coord = {"left": x_left, "middle": x_middle, "right": x_right}
return x_coord[align]
def find(self, x_coord, align):
"""Returns the index of an existing text edge using
the specified x coordinate and alignment.
"""
for i, te in enumerate(self._textedges[align]):
if np.isclose(te.x, x_coord, atol=0.5):
return i
return None
def add(self, textline, align):
"""Adds a new text edge to the current dict.
"""
x = self.get_x_coord(textline, align)
y0 = textline.y0
y1 = textline.y1
te = TextEdge(x, y0, y1, align=align)
self._textedges[align].append(te)
def update(self, textline):
"""Updates an existing text edge in the current dict.
"""
for align in ["left", "right", "middle"]:
x_coord = self.get_x_coord(textline, align)
idx = self.find(x_coord, align)
if idx is None:
self.add(textline, align)
else:
self._textedges[align][idx].update_coords(
x_coord, textline.y0, edge_tol=self.edge_tol
)
def generate(self, textlines):
"""Generates the text edges dict based on horizontal text
rows.
"""
for tl in textlines:
if len(tl.get_text().strip()) > 1: # TODO: hacky
self.update(tl)
def get_relevant(self):
"""Returns the list of relevant text edges (all share the same
alignment) based on which list intersects horizontal text rows
the most.
"""
intersections_sum = {
"left": sum(
te.intersections for te in self._textedges["left"] if te.is_valid
),
"right": sum(
te.intersections for te in self._textedges["right"] if te.is_valid
),
"middle": sum(
te.intersections for te in self._textedges["middle"] if te.is_valid
),
}
# TODO: naive
# get vertical textedges that intersect maximum number of
# times with horizontal textlines
relevant_align = max(intersections_sum.items(), key=itemgetter(1))[0]
return self._textedges[relevant_align]
def get_table_areas(self, textlines, relevant_textedges):
"""Returns a dict of interesting table areas on the PDF page
calculated using relevant text edges.
"""
def pad(area, average_row_height):
x0 = area[0] - TABLE_AREA_PADDING
y0 = area[1] - TABLE_AREA_PADDING
x1 = area[2] + TABLE_AREA_PADDING
# add a constant since table headers can be relatively up
y1 = area[3] + average_row_height * 5
return (x0, y0, x1, y1)
# sort relevant textedges in reading order
relevant_textedges.sort(key=lambda te: (-te.y0, te.x))
table_areas = {}
for te in relevant_textedges:
if te.is_valid:
if not table_areas:
table_areas[(te.x, te.y0, te.x, te.y1)] = None
else:
found = None
for area in table_areas:
# check for overlap
if te.y1 >= area[1] and te.y0 <= area[3]:
found = area
break
if found is None:
table_areas[(te.x, te.y0, te.x, te.y1)] = None
else:
table_areas.pop(found)
updated_area = (
found[0],
min(te.y0, found[1]),
max(found[2], te.x),
max(found[3], te.y1),
)
table_areas[updated_area] = None
# extend table areas based on textlines that overlap
# vertically. it's possible that these textlines were
# eliminated during textedges generation since numbers and
# chars/words/sentences are often aligned differently.
# drawback: table areas that have paragraphs on their sides
# will include the paragraphs too.
sum_textline_height = 0
for tl in textlines:
sum_textline_height += tl.y1 - tl.y0
found = None
for area in table_areas:
# check for overlap
if tl.y0 >= area[1] and tl.y1 <= area[3]:
found = area
break
if found is not None:
table_areas.pop(found)
updated_area = (
min(tl.x0, found[0]),
min(tl.y0, found[1]),
max(found[2], tl.x1),
max(found[3], tl.y1),
)
table_areas[updated_area] = None
average_textline_height = sum_textline_height / float(len(textlines))
# add some padding to table areas
table_areas_padded = {}
for area in table_areas:
table_areas_padded[pad(area, average_textline_height)] = None
return table_areas_padded
class Cell(object): class Cell(object):
@@ -67,11 +285,14 @@ class Cell(object):
self.bottom = False self.bottom = False
self.hspan = False self.hspan = False
self.vspan = False self.vspan = False
self._text = '' self._text = ""
def __repr__(self): def __repr__(self):
return '<Cell x1={} y1={} x2={} y2={}>'.format( x1 = round(self.x1, 2)
round(self.x1, 2), round(self.y1, 2), round(self.x2, 2), round(self.y2, 2)) y1 = round(self.y1, 2)
x2 = round(self.x2, 2)
y2 = round(self.y2, 2)
return f"<Cell x1={x1} y1={y1} x2={x2} y2={y2}>"
@property @property
def text(self): def text(self):
@@ -79,7 +300,7 @@ class Cell(object):
@text.setter @text.setter
def text(self, t): def text(self, t):
self._text = ''.join([self._text, t]) self._text = "".join([self._text, t])
@property @property
def bound(self): def bound(self):
@@ -116,11 +337,11 @@ class Table(object):
PDF page number. PDF page number.
""" """
def __init__(self, cols, rows): def __init__(self, cols, rows):
self.cols = cols self.cols = cols
self.rows = rows self.rows = rows
self.cells = [[Cell(c[0], r[1], c[1], r[0]) self.cells = [[Cell(c[0], r[1], c[1], r[0]) for c in cols] for r in rows]
for c in cols] for r in rows]
self.df = None self.df = None
self.shape = (0, 0) self.shape = (0, 0)
self.accuracy = 0 self.accuracy = 0
@@ -129,7 +350,14 @@ class Table(object):
self.page = None self.page = None
def __repr__(self): def __repr__(self):
return '<{} shape={}>'.format(self.__class__.__name__, self.shape) return f"<{self.__class__.__name__} shape={self.shape}>"
def __lt__(self, other):
if self.page == other.page:
if self.order < other.order:
return True
if self.page < other.page:
return True
@property @property
def data(self): def data(self):
@@ -147,10 +375,10 @@ class Table(object):
""" """
# pretty? # pretty?
report = { report = {
'accuracy': round(self.accuracy, 2), "accuracy": round(self.accuracy, 2),
'whitespace': round(self.whitespace, 2), "whitespace": round(self.whitespace, 2),
'order': self.order, "order": self.order,
'page': self.page "page": self.page,
} }
return report return report
@@ -162,7 +390,7 @@ class Table(object):
cell.left = cell.right = cell.top = cell.bottom = True cell.left = cell.right = cell.top = cell.bottom = True
return self return self
def set_edges(self, vertical, horizontal, joint_close_tol=2): def set_edges(self, vertical, horizontal, joint_tol=2):
"""Sets a cell's edges to True depending on whether the cell's """Sets a cell's edges to True depending on whether the cell's
coordinates overlap with the line's coordinates within a coordinates overlap with the line's coordinates within a
tolerance. tolerance.
@@ -178,12 +406,21 @@ class Table(object):
for v in vertical: for v in vertical:
# find closest x coord # find closest x coord
# iterate over y coords and find closest start and end points # iterate over y coords and find closest start and end points
i = [i for i, t in enumerate(self.cols) i = [
if np.isclose(v[0], t[0], atol=joint_close_tol)] i
j = [j for j, t in enumerate(self.rows) for i, t in enumerate(self.cols)
if np.isclose(v[3], t[0], atol=joint_close_tol)] if np.isclose(v[0], t[0], atol=joint_tol)
k = [k for k, t in enumerate(self.rows) ]
if np.isclose(v[1], t[0], atol=joint_close_tol)] j = [
j
for j, t in enumerate(self.rows)
if np.isclose(v[3], t[0], atol=joint_tol)
]
k = [
k
for k, t in enumerate(self.rows)
if np.isclose(v[1], t[0], atol=joint_tol)
]
if not j: if not j:
continue continue
J = j[0] J = j[0]
@@ -229,12 +466,21 @@ class Table(object):
for h in horizontal: for h in horizontal:
# find closest y coord # find closest y coord
# iterate over x coords and find closest start and end points # iterate over x coords and find closest start and end points
i = [i for i, t in enumerate(self.rows) i = [
if np.isclose(h[1], t[0], atol=joint_close_tol)] i
j = [j for j, t in enumerate(self.cols) for i, t in enumerate(self.rows)
if np.isclose(h[0], t[0], atol=joint_close_tol)] if np.isclose(h[1], t[0], atol=joint_tol)
k = [k for k, t in enumerate(self.cols) ]
if np.isclose(h[2], t[0], atol=joint_close_tol)] j = [
j
for j, t in enumerate(self.cols)
if np.isclose(h[0], t[0], atol=joint_tol)
]
k = [
k
for k, t in enumerate(self.cols)
if np.isclose(h[2], t[0], atol=joint_tol)
]
if not j: if not j:
continue continue
J = j[0] J = j[0]
@@ -251,7 +497,7 @@ class Table(object):
self.cells[L][J].top = True self.cells[L][J].top = True
J += 1 J += 1
elif i == []: # only bottom edge elif i == []: # only bottom edge
I = len(self.rows) - 1 L = len(self.rows) - 1
if k: if k:
K = k[0] K = k[0]
while J < K: while J < K:
@@ -321,33 +567,6 @@ class Table(object):
cell.hspan = True cell.hspan = True
return self return self
def plot(self, geometry_type):
"""Plot geometry found on PDF page based on geometry_type
specified, useful for debugging and playing with different
parameters to get the best output.
Parameters
----------
geometry_type : str
The geometry type for which a plot should be generated.
Can be 'text', 'table', 'contour', 'joint', 'line'
"""
if self.flavor == 'stream' and geometry_type in ['contour', 'joint', 'line']:
raise NotImplementedError("{} cannot be plotted with flavor='stream'".format(
geometry_type))
if geometry_type == 'text':
plot_text(self._text)
elif geometry_type == 'table':
plot_table(self)
elif geometry_type == 'contour':
plot_contour(self._image)
elif geometry_type == 'joint':
plot_joint(self._image)
elif geometry_type == 'line':
plot_line(self._segments)
def to_csv(self, path, **kwargs): def to_csv(self, path, **kwargs):
"""Writes Table to a comma-separated values (csv) file. """Writes Table to a comma-separated values (csv) file.
@@ -359,12 +578,7 @@ class Table(object):
Output filepath. Output filepath.
""" """
kw = { kw = {"encoding": "utf-8", "index": False, "header": False, "quoting": 1}
'encoding': 'utf-8',
'index': False,
'header': False,
'quoting': 1
}
kw.update(kwargs) kw.update(kwargs)
self.df.to_csv(path, **kw) self.df.to_csv(path, **kw)
@@ -379,12 +593,10 @@ class Table(object):
Output filepath. Output filepath.
""" """
kw = { kw = {"orient": "records"}
'orient': 'records'
}
kw.update(kwargs) kw.update(kwargs)
json_string = self.df.to_json(**kw) json_string = self.df.to_json(**kw)
with open(path, 'w') as f: with open(path, "w") as f:
f.write(json_string) f.write(json_string)
def to_excel(self, path, **kwargs): def to_excel(self, path, **kwargs):
@@ -399,8 +611,8 @@ class Table(object):
""" """
kw = { kw = {
'sheet_name': 'page-{}-table-{}'.format(self.page, self.order), "sheet_name": f"page-{self.page}-table-{self.order}",
'encoding': 'utf-8' "encoding": "utf-8",
} }
kw.update(kwargs) kw.update(kwargs)
writer = pd.ExcelWriter(path) writer = pd.ExcelWriter(path)
@@ -419,9 +631,28 @@ class Table(object):
""" """
html_string = self.df.to_html(**kwargs) html_string = self.df.to_html(**kwargs)
with open(path, 'w') as f: with open(path, "w") as f:
f.write(html_string) f.write(html_string)
def to_sqlite(self, path, **kwargs):
"""Writes Table to sqlite database.
For kwargs, check :meth:`pandas.DataFrame.to_sql`.
Parameters
----------
path : str
Output filepath.
"""
kw = {"if_exists": "replace", "index": False}
kw.update(kwargs)
conn = sqlite3.connect(path)
table_name = f"page-{self.page}-table-{self.order}"
self.df.to_sql(table_name, conn, **kw)
conn.commit()
conn.close()
class TableList(object): class TableList(object):
"""Defines a list of camelot.core.Table objects. Each table can """Defines a list of camelot.core.Table objects. Each table can
@@ -433,12 +664,12 @@ class TableList(object):
Number of tables in the list. Number of tables in the list.
""" """
def __init__(self, tables): def __init__(self, tables):
self._tables = tables self._tables = tables
def __repr__(self): def __repr__(self):
return '<{} n={}>'.format( return f"<{self.__class__.__name__} n={self.n}>"
self.__class__.__name__, self.n)
def __len__(self): def __len__(self):
return len(self._tables) return len(self._tables)
@@ -448,37 +679,35 @@ class TableList(object):
@staticmethod @staticmethod
def _format_func(table, f): def _format_func(table, f):
return getattr(table, 'to_{}'.format(f)) return getattr(table, f"to_{f}")
@property @property
def n(self): def n(self):
return len(self) return len(self)
def _write_file(self, f=None, **kwargs): def _write_file(self, f=None, **kwargs):
dirname = kwargs.get('dirname') dirname = kwargs.get("dirname")
root = kwargs.get('root') root = kwargs.get("root")
ext = kwargs.get('ext') ext = kwargs.get("ext")
for table in self._tables: for table in self._tables:
filename = os.path.join('{}-page-{}-table-{}{}'.format( filename = f"{root}-page-{table.page}-table-{table.order}{ext}"
root, table.page, table.order, ext))
filepath = os.path.join(dirname, filename) filepath = os.path.join(dirname, filename)
to_format = self._format_func(table, f) to_format = self._format_func(table, f)
to_format(filepath) to_format(filepath)
def _compress_dir(self, **kwargs): def _compress_dir(self, **kwargs):
path = kwargs.get('path') path = kwargs.get("path")
dirname = kwargs.get('dirname') dirname = kwargs.get("dirname")
root = kwargs.get('root') root = kwargs.get("root")
ext = kwargs.get('ext') ext = kwargs.get("ext")
zipname = os.path.join(os.path.dirname(path), root) + '.zip' zipname = os.path.join(os.path.dirname(path), root) + ".zip"
with zipfile.ZipFile(zipname, 'w', allowZip64=True) as z: with zipfile.ZipFile(zipname, "w", allowZip64=True) as z:
for table in self._tables: for table in self._tables:
filename = os.path.join('{}-page-{}-table-{}{}'.format( filename = f"{root}-page-{table.page}-table-{table.order}{ext}"
root, table.page, table.order, ext))
filepath = os.path.join(dirname, filename) filepath = os.path.join(dirname, filename)
z.write(filepath, os.path.basename(filepath)) z.write(filepath, os.path.basename(filepath))
def export(self, path, f='csv', compress=False): def export(self, path, f="csv", compress=False):
"""Exports the list of tables to specified file format. """Exports the list of tables to specified file format.
Parameters Parameters
@@ -486,7 +715,7 @@ class TableList(object):
path : str path : str
Output filepath. Output filepath.
f : str f : str
File format. Can be csv, json, excel and html. File format. Can be csv, json, excel, html and sqlite.
compress : bool compress : bool
Whether or not to add files to a ZIP archive. Whether or not to add files to a ZIP archive.
@@ -497,25 +726,28 @@ class TableList(object):
if compress: if compress:
dirname = tempfile.mkdtemp() dirname = tempfile.mkdtemp()
kwargs = { kwargs = {"path": path, "dirname": dirname, "root": root, "ext": ext}
'path': path,
'dirname': dirname,
'root': root,
'ext': ext
}
if f in ['csv', 'json', 'html']: if f in ["csv", "json", "html"]:
self._write_file(f=f, **kwargs) self._write_file(f=f, **kwargs)
if compress: if compress:
self._compress_dir(**kwargs) self._compress_dir(**kwargs)
elif f == 'excel': elif f == "excel":
filepath = os.path.join(dirname, basename) filepath = os.path.join(dirname, basename)
writer = pd.ExcelWriter(filepath) writer = pd.ExcelWriter(filepath)
for table in self._tables: for table in self._tables:
sheet_name = 'page-{}-table-{}'.format(table.page, table.order) sheet_name = f"page-{table.page}-table-{table.order}"
table.df.to_excel(writer, sheet_name=sheet_name, encoding='utf-8') table.df.to_excel(writer, sheet_name=sheet_name, encoding="utf-8")
writer.save() writer.save()
if compress: if compress:
zipname = os.path.join(os.path.dirname(path), root) + '.zip' zipname = os.path.join(os.path.dirname(path), root) + ".zip"
with zipfile.ZipFile(zipname, 'w', allowZip64=True) as z: with zipfile.ZipFile(zipname, "w", allowZip64=True) as z:
z.write(filepath, os.path.basename(filepath))
elif f == "sqlite":
filepath = os.path.join(dirname, basename)
for table in self._tables:
table.to_sqlite(filepath)
if compress:
zipname = os.path.join(os.path.dirname(path), root) + ".zip"
with zipfile.ZipFile(zipname, "w", allowZip64=True) as z:
z.write(filepath, os.path.basename(filepath)) z.write(filepath, os.path.basename(filepath))
View File
+674
View File
@@ -0,0 +1,674 @@
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
software and other kinds of works.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
To protect your rights, we need to prevent others from denying you
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For example, if you distribute copies of such a program, whether
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Developers that use the GNU GPL protect your rights with two steps:
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Some devices are designed to deny users access to install or run
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
+99
View File
@@ -0,0 +1,99 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
ghostscript - A Python interface for the Ghostscript interpreter C-API
"""
#
# Modifications 2018 by Vinayak Mehta <vmehta94@gmail.com>
# Copyright 2010-2018 by Hartmut Goebel <h.goebel@crazy-compilers.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
from . import _gsprint as gs
__author__ = "Hartmut Goebel <h.goebel@crazy-compilers.com>"
__copyright__ = "Copyright 2010-2018 by Hartmut Goebel <h.goebel@crazy-compilers.com>"
__license__ = "GNU General Public License version 3 (GPL v3)"
__version__ = "0.6"
class __Ghostscript(object):
def __init__(self, instance, args, stdin=None, stdout=None, stderr=None):
self._initialized = False
self._callbacks = None
if stdin or stdout or stderr:
self.set_stdio(stdin, stdout, stderr)
rc = gs.init_with_args(instance, args)
self._initialized = True
if rc == gs.e_Quit:
self.exit()
def __enter__(self):
return self
def __exit__(self, *args):
self.exit()
def set_stdio(self, stdin=None, stdout=None, stderr=None):
"""Set stdin, stdout and stderr of the ghostscript interpreter.
The ``stdin`` stream has to support the ``readline()``
interface. The ``stdout`` and ``stderr`` streams have to
support the ``write()`` and ``flush()`` interface.
Please note that this does not affect the input- and output-
streams of the devices. Esp. setting stdout does not allow
catching the devise-output even when using ``-sOutputFile=-``.
"""
global __instance__
self._callbacks = (
stdin and gs._wrap_stdin(stdin) or None,
stdout and gs._wrap_stdout(stdout) or None,
stderr and gs._wrap_stderr(stderr) or None,
)
gs.set_stdio(__instance__, *self._callbacks)
def __del__(self):
self.exit()
def exit(self):
global __instance__
if self._initialized:
if __instance__ is not None:
gs.exit(__instance__)
gs.delete_instance(__instance__)
__instance__ = None
self._initialized = False
def Ghostscript(*args, **kwargs):
"""Factory function for setting up a Ghostscript instance
"""
global __instance__
# Ghostscript only supports a single instance
if __instance__ is None:
__instance__ = gs.new_instance()
return __Ghostscript(
__instance__,
args,
stdin=kwargs.get("stdin", None),
stdout=kwargs.get("stdout", None),
stderr=kwargs.get("stderr", None),
)
__instance__ = None
+270
View File
@@ -0,0 +1,270 @@
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
ghostscript._gsprint - A low-level interface to the Ghostscript C-API using ctypes
"""
#
# Modifications 2018 by Vinayak Mehta <vmehta94@gmail.com>
# Copyright 2010-2018 by Hartmut Goebel <h.goebel@crazy-compilers.com>
#
# Display_callback Structure by Lasse Fister <commander@graphicore.de> in 2013
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import sys
from ctypes import *
# base/gserrors.h
#
# Internal code for a normal exit when usage info is displayed.
# This allows Window versions of Ghostscript to pause until
# the message can be read.
#
e_Info = -110
#
# Internal code for the .quit operator.
# The real quit code is an integer on the operand stack.
# gs_interpret returns this only for a .quit with a zero exit code.
#
e_Quit = -101
__author__ = "Hartmut Goebel <h.goebel@crazy-compilers.com>"
__copyright__ = "Copyright 2010-2018 by Hartmut Goebel <h.goebel@crazy-compilers.com>"
__license__ = "GNU General Public License version 3 (GPL v3)"
__version__ = "0.6"
gs_main_instance = c_void_p
display_callback = c_void_p
# https://www.ghostscript.com/doc/current/API.htm
class GhostscriptError(Exception):
def __init__(self, ecode):
self.code = ecode
def new_instance():
"""Create a new instance of Ghostscript
This instance is passed to most other API functions.
"""
# :todo: The caller_handle will be provided to callback functions.
display_callback = None
instance = gs_main_instance()
rc = libgs.gsapi_new_instance(pointer(instance), display_callback)
if rc != 0:
raise GhostscriptError(rc)
return instance
def delete_instance(instance):
"""Destroy an instance of Ghostscript
Before you call this, Ghostscript must have finished.
If Ghostscript has been initialised, you must call exit()
before delete_instance()
"""
return libgs.gsapi_delete_instance(instance)
if sys.platform == "win32":
c_stdstream_call_t = WINFUNCTYPE(c_int, gs_main_instance, POINTER(c_char), c_int)
else:
c_stdstream_call_t = CFUNCTYPE(c_int, gs_main_instance, POINTER(c_char), c_int)
def _wrap_stdin(infp):
"""Wrap a filehandle into a C function to be used as `stdin` callback
for ``set_stdio``. The filehandle has to support the readline() method.
"""
def _wrap(instance, dest, count):
try:
data = infp.readline(count)
except:
count = -1
else:
if not data:
count = 0
else:
count = len(data)
memmove(dest, c_char_p(data), count)
return count
return c_stdstream_call_t(_wrap)
def _wrap_stdout(outfp):
"""Wrap a filehandle into a C function to be used as `stdout` or
`stderr` callback for ``set_stdio``. The filehandle has to support the
write() and flush() methods.
"""
def _wrap(instance, str, count):
outfp.write(str[:count])
outfp.flush()
return count
return c_stdstream_call_t(_wrap)
_wrap_stderr = _wrap_stdout
def set_stdio(instance, stdin, stdout, stderr):
"""Set the callback functions for stdio.
``stdin``, ``stdout`` and ``stderr`` have to be ``ctypes``
callback functions matching the ``_gsprint.c_stdstream_call_t``
prototype. You may want to use _wrap_* to wrap file handles.
Note 1: This function only changes stdio of the Postscript
interpreter, not that of the devices.
Note 2: Make sure you keep references to C function objects
as long as they are used from C code. Otherwise they may be
garbage collected, crashing your program when a callback is made.
The ``stdin`` callback function should return the number of
characters read, `0` for EOF, or `-1` for error. The `stdout` and
`stderr` callback functions should return the number of characters
written.
You may pass ``None`` for any of stdin, stdout or stderr , in which
case the system stdin, stdout resp. stderr will be used.
"""
rc = libgs.gsapi_set_stdio(instance, stdin, stdout, stderr)
if rc not in (0, e_Quit, e_Info):
raise GhostscriptError(rc)
return rc
def init_with_args(instance, argv):
"""Initialise the interpreter
1. If quit or EOF occur during init_with_args(), the return value
will be e_Quit. This is not an error. You must call exit() and
must not call any other functions.
2. If usage info should be displayed, the return value will be
e_Info which is not an error. Do not call exit().
3. Under normal conditions this returns 0. You would then call one
or more run_*() functions and then finish with exit()
"""
ArgArray = c_char_p * len(argv)
c_argv = ArgArray(*argv)
rc = libgs.gsapi_init_with_args(instance, len(argv), c_argv)
if rc not in (0, e_Quit, e_Info):
raise GhostscriptError(rc)
return rc
def exit(instance):
"""Exit the interpreter
This must be called on shutdown if init_with_args() has been
called, and just before delete_instance()
"""
rc = libgs.gsapi_exit(instance)
if rc != 0:
raise GhostscriptError(rc)
return rc
def __win32_finddll():
try:
import winreg
except ImportError:
# assume Python 2
from _winreg import (
OpenKey,
CloseKey,
EnumKey,
QueryValueEx,
QueryInfoKey,
HKEY_LOCAL_MACHINE,
)
else:
from winreg import (
OpenKey,
CloseKey,
EnumKey,
QueryValueEx,
QueryInfoKey,
HKEY_LOCAL_MACHINE,
)
from distutils.version import LooseVersion
import os
dlls = []
# Look up different variants of Ghostscript and take the highest
# version for which the DLL is to be found in the filesystem.
for key_name in (
"AFPL Ghostscript",
"Aladdin Ghostscript",
"GNU Ghostscript",
"GPL Ghostscript",
):
try:
k1 = OpenKey(HKEY_LOCAL_MACHINE, "Software\\%s" % key_name)
for num in range(0, QueryInfoKey(k1)[0]):
version = EnumKey(k1, num)
try:
k2 = OpenKey(k1, version)
dll_path = QueryValueEx(k2, "GS_DLL")[0]
CloseKey(k2)
if os.path.exists(dll_path):
dlls.append((LooseVersion(version), dll_path))
except WindowsError:
pass
CloseKey(k1)
except WindowsError:
pass
if dlls:
dlls.sort()
return dlls[-1][-1]
else:
return None
if sys.platform == "win32":
libgs = __win32_finddll()
if not libgs:
import ctypes.util
libgs = ctypes.util.find_library(
"".join(("gsdll", str(ctypes.sizeof(ctypes.c_voidp) * 8), ".dll"))
) # finds in %PATH%
if not libgs:
raise RuntimeError("Please make sure that Ghostscript is installed")
libgs = windll.LoadLibrary(libgs)
else:
try:
libgs = cdll.LoadLibrary("libgs.so")
except OSError:
# shared object file not found
import ctypes.util
libgs = ctypes.util.find_library("gs")
if not libgs:
raise RuntimeError("Please make sure that Ghostscript is installed")
libgs = cdll.LoadLibrary(libgs)
del __win32_finddll
+69 -53
View File
@@ -7,8 +7,14 @@ from PyPDF2 import PdfFileReader, PdfFileWriter
from .core import TableList from .core import TableList
from .parsers import Stream, Lattice from .parsers import Stream, Lattice
from .utils import (TemporaryDirectory, get_page_layout, get_text_objects, from .utils import (
get_rotation) TemporaryDirectory,
get_page_layout,
get_text_objects,
get_rotation,
is_url,
download_url,
)
class PDFHandler(object): class PDFHandler(object):
@@ -18,37 +24,41 @@ class PDFHandler(object):
Parameters Parameters
---------- ----------
filename : str filepath : str
Path to PDF file. Filepath or URL of the PDF file.
pages : str, optional (default: '1') pages : str, optional (default: '1')
Comma-separated page numbers. Comma-separated page numbers.
Example: '1,3,4' or '1,4-end'. Example: '1,3,4' or '1,4-end' or 'all'.
password : str, optional (default: None) password : str, optional (default: None)
Password for decryption. Password for decryption.
""" """
def __init__(self, filename, pages='1', password=None):
self.filename = filename def __init__(self, filepath, pages="1", password=None):
if not filename.lower().endswith('.pdf'): if is_url(filepath):
filepath = download_url(filepath)
self.filepath = filepath
if not filepath.lower().endswith(".pdf"):
raise NotImplementedError("File format not supported") raise NotImplementedError("File format not supported")
self.pages = self._get_pages(self.filename, pages)
if password is None: if password is None:
self.password = '' self.password = ""
else: else:
self.password = password self.password = password
if sys.version_info[0] < 3: if sys.version_info[0] < 3:
self.password = self.password.encode('ascii') self.password = self.password.encode("ascii")
self.pages = self._get_pages(self.filepath, pages)
def _get_pages(self, filename, pages): def _get_pages(self, filepath, pages):
"""Converts pages string to list of ints. """Converts pages string to list of ints.
Parameters Parameters
---------- ----------
filename : str filepath : str
Path to PDF file. Filepath or URL of the PDF file.
pages : str, optional (default: '1') pages : str, optional (default: '1')
Comma-separated page numbers. Comma-separated page numbers.
Example: 1,3,4 or 1,4-end. Example: '1,3,4' or '1,4-end' or 'all'.
Returns Returns
------- -------
@@ -57,75 +67,77 @@ class PDFHandler(object):
""" """
page_numbers = [] page_numbers = []
if pages == '1': if pages == "1":
page_numbers.append({'start': 1, 'end': 1}) page_numbers.append({"start": 1, "end": 1})
else: else:
infile = PdfFileReader(open(filename, 'rb'), strict=False) infile = PdfFileReader(open(filepath, "rb"), strict=False)
if infile.isEncrypted: if infile.isEncrypted:
infile.decrypt(self.password) infile.decrypt(self.password)
if pages == 'all': if pages == "all":
page_numbers.append({'start': 1, 'end': infile.getNumPages()}) page_numbers.append({"start": 1, "end": infile.getNumPages()})
else: else:
for r in pages.split(','): for r in pages.split(","):
if '-' in r: if "-" in r:
a, b = r.split('-') a, b = r.split("-")
if b == 'end': if b == "end":
b = infile.getNumPages() b = infile.getNumPages()
page_numbers.append({'start': int(a), 'end': int(b)}) page_numbers.append({"start": int(a), "end": int(b)})
else: else:
page_numbers.append({'start': int(r), 'end': int(r)}) page_numbers.append({"start": int(r), "end": int(r)})
P = [] P = []
for p in page_numbers: for p in page_numbers:
P.extend(range(p['start'], p['end'] + 1)) P.extend(range(p["start"], p["end"] + 1))
return sorted(set(P)) return sorted(set(P))
def _save_page(self, filename, page, temp): def _save_page(self, filepath, page, temp):
"""Saves specified page from PDF into a temporary directory. """Saves specified page from PDF into a temporary directory.
Parameters Parameters
---------- ----------
filename : str filepath : str
Path to PDF file. Filepath or URL of the PDF file.
page : int page : int
Page number. Page number.
temp : str temp : str
Tmp directory. Tmp directory.
""" """
with open(filename, 'rb') as fileobj: with open(filepath, "rb") as fileobj:
infile = PdfFileReader(fileobj, strict=False) infile = PdfFileReader(fileobj, strict=False)
if infile.isEncrypted: if infile.isEncrypted:
infile.decrypt(self.password) infile.decrypt(self.password)
fpath = os.path.join(temp, 'page-{0}.pdf'.format(page)) fpath = os.path.join(temp, f"page-{page}.pdf")
froot, fext = os.path.splitext(fpath) froot, fext = os.path.splitext(fpath)
p = infile.getPage(page - 1) p = infile.getPage(page - 1)
outfile = PdfFileWriter() outfile = PdfFileWriter()
outfile.addPage(p) outfile.addPage(p)
with open(fpath, 'wb') as f: with open(fpath, "wb") as f:
outfile.write(f) outfile.write(f)
layout, dim = get_page_layout(fpath) layout, dim = get_page_layout(fpath)
# fix rotated PDF # fix rotated PDF
lttextlh = get_text_objects(layout, ltype="lh") chars = get_text_objects(layout, ltype="char")
lttextlv = get_text_objects(layout, ltype="lv") horizontal_text = get_text_objects(layout, ltype="horizontal_text")
ltchar = get_text_objects(layout, ltype="char") vertical_text = get_text_objects(layout, ltype="vertical_text")
rotation = get_rotation(lttextlh, lttextlv, ltchar) rotation = get_rotation(chars, horizontal_text, vertical_text)
if rotation != '': if rotation != "":
fpath_new = ''.join([froot.replace('page', 'p'), '_rotated', fext]) fpath_new = "".join([froot.replace("page", "p"), "_rotated", fext])
os.rename(fpath, fpath_new) os.rename(fpath, fpath_new)
infile = PdfFileReader(open(fpath_new, 'rb'), strict=False) infile = PdfFileReader(open(fpath_new, "rb"), strict=False)
if infile.isEncrypted: if infile.isEncrypted:
infile.decrypt(self.password) infile.decrypt(self.password)
outfile = PdfFileWriter() outfile = PdfFileWriter()
p = infile.getPage(0) p = infile.getPage(0)
if rotation == 'anticlockwise': if rotation == "anticlockwise":
p.rotateClockwise(90) p.rotateClockwise(90)
elif rotation == 'clockwise': elif rotation == "clockwise":
p.rotateCounterClockwise(90) p.rotateCounterClockwise(90)
outfile.addPage(p) outfile.addPage(p)
with open(fpath, 'wb') as f: with open(fpath, "wb") as f:
outfile.write(f) outfile.write(f)
def parse(self, flavor='lattice', **kwargs): def parse(
self, flavor="lattice", suppress_stdout=False, layout_kwargs={}, **kwargs
):
"""Extracts tables by calling parser.get_tables on all single """Extracts tables by calling parser.get_tables on all single
page PDFs. page PDFs.
@@ -134,6 +146,10 @@ class PDFHandler(object):
flavor : str (default: 'lattice') flavor : str (default: 'lattice')
The parsing method to use ('lattice' or 'stream'). The parsing method to use ('lattice' or 'stream').
Lattice is used by default. Lattice is used by default.
suppress_stdout : str (default: False)
Suppress logs and warnings.
layout_kwargs : dict, optional (default: {})
A dict of `pdfminer.layout.LAParams <https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33>`_ kwargs.
kwargs : dict kwargs : dict
See camelot.read_pdf kwargs. See camelot.read_pdf kwargs.
@@ -141,19 +157,19 @@ class PDFHandler(object):
------- -------
tables : camelot.core.TableList tables : camelot.core.TableList
List of tables found in PDF. List of tables found in PDF.
geometry : camelot.core.GeometryList
List of geometry objects (contours, lines, joints) found
in PDF.
""" """
tables = [] tables = []
with TemporaryDirectory() as tempdir: with TemporaryDirectory() as tempdir:
for p in self.pages: for p in self.pages:
self._save_page(self.filename, p, tempdir) self._save_page(self.filepath, p, tempdir)
pages = [os.path.join(tempdir, 'page-{0}.pdf'.format(p)) pages = [
for p in self.pages] os.path.join(tempdir, f"page-{p}.pdf") for p in self.pages
parser = Lattice(**kwargs) if flavor == 'lattice' else Stream(**kwargs) ]
parser = Lattice(**kwargs) if flavor == "lattice" else Stream(**kwargs)
for p in pages: for p in pages:
t = parser.extract_tables(p) t = parser.extract_tables(
p, suppress_stdout=suppress_stdout, layout_kwargs=layout_kwargs
)
tables.extend(t) tables.extend(t)
return TableList(tables) return TableList(sorted(tables))
+47 -25
View File
@@ -1,7 +1,5 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
from __future__ import division
import cv2 import cv2
import numpy as np import numpy as np
@@ -39,16 +37,23 @@ def adaptive_threshold(imagename, process_background=False, blocksize=15, c=-2):
if process_background: if process_background:
threshold = cv2.adaptiveThreshold( threshold = cv2.adaptiveThreshold(
gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, blocksize, c
cv2.THRESH_BINARY, blocksize, c) )
else: else:
threshold = cv2.adaptiveThreshold( threshold = cv2.adaptiveThreshold(
np.invert(gray), 255, np.invert(gray),
cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, blocksize, c) 255,
cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
cv2.THRESH_BINARY,
blocksize,
c,
)
return img, threshold return img, threshold
def find_lines(threshold, direction='horizontal', line_size_scaling=15, iterations=0): def find_lines(
threshold, regions=None, direction="horizontal", line_scale=15, iterations=0
):
"""Finds horizontal and vertical lines by applying morphological """Finds horizontal and vertical lines by applying morphological
transformations on an image. transformations on an image.
@@ -56,9 +61,13 @@ def find_lines(threshold, direction='horizontal', line_size_scaling=15, iteratio
---------- ----------
threshold : object threshold : object
numpy.ndarray representing the thresholded image. numpy.ndarray representing the thresholded image.
regions : list, optional (default: None)
List of page regions that may contain tables of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in image coordinate space.
direction : string, optional (default: 'horizontal') direction : string, optional (default: 'horizontal')
Specifies whether to find vertical or horizontal lines. Specifies whether to find vertical or horizontal lines.
line_size_scaling : int, optional (default: 15) line_scale : int, optional (default: 15)
Factor by which the page dimensions will be divided to get Factor by which the page dimensions will be divided to get
smallest length of lines that should be detected. smallest length of lines that should be detected.
@@ -82,15 +91,21 @@ def find_lines(threshold, direction='horizontal', line_size_scaling=15, iteratio
""" """
lines = [] lines = []
if direction == 'vertical': if direction == "vertical":
size = threshold.shape[0] // line_size_scaling size = threshold.shape[0] // line_scale
el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size)) el = cv2.getStructuringElement(cv2.MORPH_RECT, (1, size))
elif direction == 'horizontal': elif direction == "horizontal":
size = threshold.shape[1] // line_size_scaling size = threshold.shape[1] // line_scale
el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1)) el = cv2.getStructuringElement(cv2.MORPH_RECT, (size, 1))
elif direction is None: elif direction is None:
raise ValueError("Specify direction as either 'vertical' or" raise ValueError("Specify direction as either 'vertical' or 'horizontal'")
" 'horizontal'")
if regions is not None:
region_mask = np.zeros(threshold.shape)
for region in regions:
x, y, w, h = region
region_mask[y : y + h, x : x + w] = 1
threshold = np.multiply(threshold, region_mask)
threshold = cv2.erode(threshold, el) threshold = cv2.erode(threshold, el)
threshold = cv2.dilate(threshold, el) threshold = cv2.dilate(threshold, el)
@@ -98,25 +113,27 @@ def find_lines(threshold, direction='horizontal', line_size_scaling=15, iteratio
try: try:
_, contours, _ = cv2.findContours( _, contours, _ = cv2.findContours(
threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) threshold.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
except ValueError: except ValueError:
# for opencv backward compatibility # for opencv backward compatibility
contours, _ = cv2.findContours( contours, _ = cv2.findContours(
threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) threshold.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
for c in contours: for c in contours:
x, y, w, h = cv2.boundingRect(c) x, y, w, h = cv2.boundingRect(c)
x1, x2 = x, x + w x1, x2 = x, x + w
y1, y2 = y, y + h y1, y2 = y, y + h
if direction == 'vertical': if direction == "vertical":
lines.append(((x1 + x2) // 2, y2, (x1 + x2) // 2, y1)) lines.append(((x1 + x2) // 2, y2, (x1 + x2) // 2, y1))
elif direction == 'horizontal': elif direction == "horizontal":
lines.append((x1, (y1 + y2) // 2, x2, (y1 + y2) // 2)) lines.append((x1, (y1 + y2) // 2, x2, (y1 + y2) // 2))
return dmask, lines return dmask, lines
def find_table_contours(vertical, horizontal): def find_contours(vertical, horizontal):
"""Finds table boundaries using OpenCV's findContours. """Finds table boundaries using OpenCV's findContours.
Parameters Parameters
@@ -138,11 +155,14 @@ def find_table_contours(vertical, horizontal):
try: try:
__, contours, __ = cv2.findContours( __, contours, __ = cv2.findContours(
mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) mask.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
except ValueError: except ValueError:
# for opencv backward compatibility # for opencv backward compatibility
contours, __ = cv2.findContours( contours, __ = cv2.findContours(
mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) mask.astype(np.uint8), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
# sort in reverse based on contour area and use first 10 contours
contours = sorted(contours, key=cv2.contourArea, reverse=True)[:10] contours = sorted(contours, key=cv2.contourArea, reverse=True)[:10]
cont = [] cont = []
@@ -153,7 +173,7 @@ def find_table_contours(vertical, horizontal):
return cont return cont
def find_table_joints(contours, vertical, horizontal): def find_joints(contours, vertical, horizontal):
"""Finds joints/intersections present inside each table boundary. """Finds joints/intersections present inside each table boundary.
Parameters Parameters
@@ -176,18 +196,20 @@ def find_table_joints(contours, vertical, horizontal):
and (x2, y2) -> rt in image coordinate space. and (x2, y2) -> rt in image coordinate space.
""" """
joints = np.bitwise_and(vertical, horizontal) joints = np.multiply(vertical, horizontal)
tables = {} tables = {}
for c in contours: for c in contours:
x, y, w, h = c x, y, w, h = c
roi = joints[y : y + h, x : x + w] roi = joints[y : y + h, x : x + w]
try: try:
__, jc, __ = cv2.findContours( __, jc, __ = cv2.findContours(
roi, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE) roi.astype(np.uint8), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE
)
except ValueError: except ValueError:
# for opencv backward compatibility # for opencv backward compatibility
jc, __ = cv2.findContours( jc, __ = cv2.findContours(
roi, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE) roi.astype(np.uint8), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE
)
if len(jc) <= 4: # remove contours with less than 4 joints if len(jc) <= 4: # remove contours with less than 4 joints
continue continue
joint_coords = [] joint_coords = []
+37 -20
View File
@@ -1,12 +1,20 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
import warnings import warnings
from .handlers import PDFHandler from .handlers import PDFHandler
from .utils import validate_input, remove_extra from .utils import validate_input, remove_extra
def read_pdf(filepath, pages='1', password=None, flavor='lattice', def read_pdf(
suppress_warnings=False, **kwargs): filepath,
pages="1",
password=None,
flavor="lattice",
suppress_stdout=False,
layout_kwargs={},
**kwargs
):
"""Read PDF and return extracted tables. """Read PDF and return extracted tables.
Note: kwargs annotated with ^ can only be used with flavor='stream' Note: kwargs annotated with ^ can only be used with flavor='stream'
@@ -15,17 +23,19 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
Parameters Parameters
---------- ----------
filepath : str filepath : str
Path to PDF file. Filepath or URL of the PDF file.
pages : str, optional (default: '1') pages : str, optional (default: '1')
Comma-separated page numbers. Comma-separated page numbers.
Example: '1,3,4' or '1,4-end'. Example: '1,3,4' or '1,4-end' or 'all'.
password : str, optional (default: None) password : str, optional (default: None)
Password for decryption. Password for decryption.
flavor : str (default: 'lattice') flavor : str (default: 'lattice')
The parsing method to use ('lattice' or 'stream'). The parsing method to use ('lattice' or 'stream').
Lattice is used by default. Lattice is used by default.
suppress_warnings : bool, optional (default: False) suppress_stdout : bool, optional (default: True)
Prevent warnings from being emitted by Camelot. Print all logs and warnings.
layout_kwargs : dict, optional (default: {})
A dict of `pdfminer.layout.LAParams <https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33>`_ kwargs.
table_areas : list, optional (default: None) table_areas : list, optional (default: None)
List of table area strings of the form x1,y1,x2,y2 List of table area strings of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom where (x1, y1) -> left-top and (x2, y2) -> right-bottom
@@ -38,15 +48,18 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
flag_size : bool, optional (default: False) flag_size : bool, optional (default: False)
Flag text based on font size. Useful to detect Flag text based on font size. Useful to detect
super/subscripts. Adds <s></s> around flagged text. super/subscripts. Adds <s></s> around flagged text.
row_close_tol^ : int, optional (default: 2) strip_text : str, optional (default: '')
Characters that should be stripped from a string before
assigning it to a cell.
row_tol^ : int, optional (default: 2)
Tolerance parameter used to combine text vertically, Tolerance parameter used to combine text vertically,
to generate rows. to generate rows.
col_close_tol^ : int, optional (default: 0) column_tol^ : int, optional (default: 0)
Tolerance parameter used to combine text horizontally, Tolerance parameter used to combine text horizontally,
to generate columns. to generate columns.
process_background* : bool, optional (default: False) process_background* : bool, optional (default: False)
Process background lines. Process background lines.
line_size_scaling* : int, optional (default: 15) line_scale* : int, optional (default: 15)
Line size scaling factor. The larger the value the smaller Line size scaling factor. The larger the value the smaller
the detected lines. Making it very large will lead to text the detected lines. Making it very large will lead to text
being detected as lines. being detected as lines.
@@ -57,10 +70,10 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
shift_text* : list, optional (default: ['l', 't']) shift_text* : list, optional (default: ['l', 't'])
{'l', 'r', 't', 'b'} {'l', 'r', 't', 'b'}
Direction in which text in a spanning cell will flow. Direction in which text in a spanning cell will flow.
line_close_tol* : int, optional (default: 2) line_tol* : int, optional (default: 2)
Tolerance parameter used to merge close vertical and horizontal Tolerance parameter used to merge close vertical and horizontal
lines. lines.
joint_close_tol* : int, optional (default: 2) joint_tol* : int, optional (default: 2)
Tolerance parameter used to decide whether the detected lines Tolerance parameter used to decide whether the detected lines
and points lie close to each other. and points lie close to each other.
threshold_blocksize* : int, optional (default: 15) threshold_blocksize* : int, optional (default: 15)
@@ -77,26 +90,30 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
Number of times for erosion/dilation is applied. Number of times for erosion/dilation is applied.
For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_. For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_.
margins : tuple resolution* : int, optional (default: 300)
PDFMiner char_margin, line_margin and word_margin. Resolution used for PDF to PNG conversion.
For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
Returns Returns
------- -------
tables : camelot.core.TableList tables : camelot.core.TableList
""" """
if flavor not in ['lattice', 'stream']: if flavor not in ["lattice", "stream"]:
raise NotImplementedError("Unknown flavor specified." raise NotImplementedError(
" Use either 'lattice' or 'stream'") "Unknown flavor specified." " Use either 'lattice' or 'stream'"
)
with warnings.catch_warnings(): with warnings.catch_warnings():
if suppress_warnings: if suppress_stdout:
warnings.simplefilter("ignore") warnings.simplefilter("ignore")
validate_input(kwargs, flavor=flavor) validate_input(kwargs, flavor=flavor)
p = PDFHandler(filepath, pages=pages, password=password) p = PDFHandler(filepath, pages=pages, password=password)
kwargs = remove_extra(kwargs, flavor=flavor) kwargs = remove_extra(kwargs, flavor=flavor)
tables = p.parse(flavor=flavor, **kwargs) tables = p.parse(
flavor=flavor,
suppress_stdout=suppress_stdout,
layout_kwargs=layout_kwargs,
**kwargs
)
return tables return tables
+7 -8
View File
@@ -8,14 +8,13 @@ from ..utils import get_page_layout, get_text_objects
class BaseParser(object): class BaseParser(object):
"""Defines a base parser. """Defines a base parser.
""" """
def _generate_layout(self, filename):
def _generate_layout(self, filename, layout_kwargs):
self.filename = filename self.filename = filename
self.layout, self.dimensions = get_page_layout( self.layout_kwargs = layout_kwargs
self.filename, self.layout, self.dimensions = get_page_layout(filename, **layout_kwargs)
char_margin=self.char_margin, self.images = get_text_objects(self.layout, ltype="image")
line_margin=self.line_margin, self.horizontal_text = get_text_objects(self.layout, ltype="horizontal_text")
word_margin=self.word_margin) self.vertical_text = get_text_objects(self.layout, ltype="vertical_text")
self.horizontal_text = get_text_objects(self.layout, ltype="lh")
self.vertical_text = get_text_objects(self.layout, ltype="lv")
self.pdf_width, self.pdf_height = self.dimensions self.pdf_width, self.pdf_height = self.dimensions
self.rootname, __ = os.path.splitext(self.filename) self.rootname, __ = os.path.splitext(self.filename)
+178 -130
View File
@@ -1,8 +1,9 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
from __future__ import division
import os import os
import sys
import copy import copy
import locale
import logging import logging
import warnings import warnings
import subprocess import subprocess
@@ -12,14 +13,25 @@ import pandas as pd
from .base import BaseParser from .base import BaseParser
from ..core import Table from ..core import Table
from ..utils import (scale_image, scale_pdf, segments_in_bbox, text_in_bbox, from ..utils import (
merge_close_lines, get_table_index, compute_accuracy, scale_image,
compute_whitespace) scale_pdf,
from ..image_processing import (adaptive_threshold, find_lines, segments_in_bbox,
find_table_contours, find_table_joints) text_in_bbox,
merge_close_lines,
get_table_index,
compute_accuracy,
compute_whitespace,
)
from ..image_processing import (
adaptive_threshold,
find_lines,
find_contours,
find_joints,
)
logger = logging.getLogger('camelot') logger = logging.getLogger("camelot")
class Lattice(BaseParser): class Lattice(BaseParser):
@@ -28,13 +40,17 @@ class Lattice(BaseParser):
Parameters Parameters
---------- ----------
table_regions : list, optional (default: None)
List of page regions that may contain tables of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in PDF coordinate space.
table_areas : list, optional (default: None) table_areas : list, optional (default: None)
List of table area strings of the form x1,y1,x2,y2 List of table area strings of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in PDF coordinate space. in PDF coordinate space.
process_background : bool, optional (default: False) process_background : bool, optional (default: False)
Process background lines. Process background lines.
line_size_scaling : int, optional (default: 15) line_scale : int, optional (default: 15)
Line size scaling factor. The larger the value the smaller Line size scaling factor. The larger the value the smaller
the detected lines. Making it very large will lead to text the detected lines. Making it very large will lead to text
being detected as lines. being detected as lines.
@@ -50,10 +66,13 @@ class Lattice(BaseParser):
flag_size : bool, optional (default: False) flag_size : bool, optional (default: False)
Flag text based on font size. Useful to detect Flag text based on font size. Useful to detect
super/subscripts. Adds <s></s> around flagged text. super/subscripts. Adds <s></s> around flagged text.
line_close_tol : int, optional (default: 2) strip_text : str, optional (default: '')
Characters that should be stripped from a string before
assigning it to a cell.
line_tol : int, optional (default: 2)
Tolerance parameter used to merge close vertical and horizontal Tolerance parameter used to merge close vertical and horizontal
lines. lines.
joint_close_tol : int, optional (default: 2) joint_tol : int, optional (default: 2)
Tolerance parameter used to decide whether the detected lines Tolerance parameter used to decide whether the detected lines
and points lie close to each other. and points lie close to each other.
threshold_blocksize : int, optional (default: 15) threshold_blocksize : int, optional (default: 15)
@@ -70,30 +89,45 @@ class Lattice(BaseParser):
Number of times for erosion/dilation is applied. Number of times for erosion/dilation is applied.
For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_. For more information, refer `OpenCV's dilate <https://docs.opencv.org/2.4/modules/imgproc/doc/filtering.html#dilate>`_.
margins : tuple resolution : int, optional (default: 300)
PDFMiner char_margin, line_margin and word_margin. Resolution used for PDF to PNG conversion.
For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
""" """
def __init__(self, table_areas=None, process_background=False,
line_size_scaling=15, copy_text=None, shift_text=['l', 't'], def __init__(
split_text=False, flag_size=False, line_close_tol=2, self,
joint_close_tol=2, threshold_blocksize=15, threshold_constant=-2, table_regions=None,
iterations=0, margins=(1.0, 0.5, 0.1), **kwargs): table_areas=None,
process_background=False,
line_scale=15,
copy_text=None,
shift_text=["l", "t"],
split_text=False,
flag_size=False,
strip_text="",
line_tol=2,
joint_tol=2,
threshold_blocksize=15,
threshold_constant=-2,
iterations=0,
resolution=300,
**kwargs
):
self.table_regions = table_regions
self.table_areas = table_areas self.table_areas = table_areas
self.process_background = process_background self.process_background = process_background
self.line_size_scaling = line_size_scaling self.line_scale = line_scale
self.copy_text = copy_text self.copy_text = copy_text
self.shift_text = shift_text self.shift_text = shift_text
self.split_text = split_text self.split_text = split_text
self.flag_size = flag_size self.flag_size = flag_size
self.line_close_tol = line_close_tol self.strip_text = strip_text
self.joint_close_tol = joint_close_tol self.line_tol = line_tol
self.joint_tol = joint_tol
self.threshold_blocksize = threshold_blocksize self.threshold_blocksize = threshold_blocksize
self.threshold_constant = threshold_constant self.threshold_constant = threshold_constant
self.iterations = iterations self.iterations = iterations
self.char_margin, self.line_margin, self.word_margin = margins self.resolution = resolution
@staticmethod @staticmethod
def _reduce_index(t, idx, shift_text): def _reduce_index(t, idx, shift_text):
@@ -121,19 +155,19 @@ class Lattice(BaseParser):
indices = [] indices = []
for r_idx, c_idx, text in idx: for r_idx, c_idx, text in idx:
for d in shift_text: for d in shift_text:
if d == 'l': if d == "l":
if t.cells[r_idx][c_idx].hspan: if t.cells[r_idx][c_idx].hspan:
while not t.cells[r_idx][c_idx].left: while not t.cells[r_idx][c_idx].left:
c_idx -= 1 c_idx -= 1
if d == 'r': if d == "r":
if t.cells[r_idx][c_idx].hspan: if t.cells[r_idx][c_idx].hspan:
while not t.cells[r_idx][c_idx].right: while not t.cells[r_idx][c_idx].right:
c_idx += 1 c_idx += 1
if d == 't': if d == "t":
if t.cells[r_idx][c_idx].vspan: if t.cells[r_idx][c_idx].vspan:
while not t.cells[r_idx][c_idx].top: while not t.cells[r_idx][c_idx].top:
r_idx -= 1 r_idx -= 1
if d == 'b': if d == "b":
if t.cells[r_idx][c_idx].vspan: if t.cells[r_idx][c_idx].vspan:
while not t.cells[r_idx][c_idx].bottom: while not t.cells[r_idx][c_idx].bottom:
r_idx += 1 r_idx += 1
@@ -162,72 +196,50 @@ class Lattice(BaseParser):
if f == "h": if f == "h":
for i in range(len(t.cells)): for i in range(len(t.cells)):
for j in range(len(t.cells[i])): for j in range(len(t.cells[i])):
if t.cells[i][j].text.strip() == '': if t.cells[i][j].text.strip() == "":
if t.cells[i][j].hspan and not t.cells[i][j].left: if t.cells[i][j].hspan and not t.cells[i][j].left:
t.cells[i][j].text = t.cells[i][j - 1].text t.cells[i][j].text = t.cells[i][j - 1].text
elif f == "v": elif f == "v":
for i in range(len(t.cells)): for i in range(len(t.cells)):
for j in range(len(t.cells[i])): for j in range(len(t.cells[i])):
if t.cells[i][j].text.strip() == '': if t.cells[i][j].text.strip() == "":
if t.cells[i][j].vspan and not t.cells[i][j].top: if t.cells[i][j].vspan and not t.cells[i][j].top:
t.cells[i][j].text = t.cells[i - 1][j].text t.cells[i][j].text = t.cells[i - 1][j].text
return t return t
def _generate_image(self): def _generate_image(self):
# TODO: get rid of ghostscript #96 from ..ext.ghostscript import Ghostscript
def get_executable():
import platform
from distutils.spawn import find_executable
class GhostscriptNotFound(Exception): pass self.imagename = "".join([self.rootname, ".png"])
gs_call = "-q -sDEVICE=png16m -o {} -r300 {}".format(
gs = None self.imagename, self.filename
system = platform.system().lower() )
try: gs_call = gs_call.encode().split()
if system == 'windows': null = open(os.devnull, "wb")
if find_executable('gswin32c.exe'): with Ghostscript(*gs_call, stdout=null) as gs:
gs = 'gswin32c.exe' pass
elif find_executable('gswin64c.exe'): null.close()
gs = 'gswin64c.exe'
else:
raise ValueError
else:
if find_executable('gs'):
gs = 'gs'
elif find_executable('gsc'):
gs = 'gsc'
else:
raise ValueError
if 'ghostscript' not in subprocess.check_output(
[gs, '-version']).decode('utf-8').lower():
raise ValueError
except ValueError:
raise GhostscriptNotFound(
'Please make sure that Ghostscript is installed'
' and available on the PATH environment variable')
return gs
self.imagename = ''.join([self.rootname, '.png'])
gs_call = [
'-q',
'-sDEVICE=png16m',
'-o',
self.imagename,
'-r600',
self.filename
]
gs = get_executable()
gs_call.insert(0, gs)
subprocess.call(
gs_call, stdout=open(os.devnull, 'w'),
stderr=subprocess.STDOUT)
def _generate_table_bbox(self): def _generate_table_bbox(self):
def scale_areas(areas):
scaled_areas = []
for area in areas:
x1, y1, x2, y2 = area.split(",")
x1 = float(x1)
y1 = float(y1)
x2 = float(x2)
y2 = float(y2)
x1, y1, x2, y2 = scale_pdf((x1, y1, x2, y2), image_scalers)
scaled_areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1)))
return scaled_areas
self.image, self.threshold = adaptive_threshold( self.image, self.threshold = adaptive_threshold(
self.imagename, process_background=self.process_background, self.imagename,
blocksize=self.threshold_blocksize, c=self.threshold_constant) process_background=self.process_background,
blocksize=self.threshold_blocksize,
c=self.threshold_constant,
)
image_width = self.image.shape[1] image_width = self.image.shape[1]
image_height = self.image.shape[0] image_height = self.image.shape[0]
image_width_scaler = image_width / float(self.pdf_width) image_width_scaler = image_width / float(self.pdf_width)
@@ -237,85 +249,110 @@ class Lattice(BaseParser):
image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height) image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height)
pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height) pdf_scalers = (pdf_width_scaler, pdf_height_scaler, image_height)
vertical_mask, vertical_segments = find_lines( if self.table_areas is None:
self.threshold, direction='vertical', regions = None
line_size_scaling=self.line_size_scaling, iterations=self.iterations) if self.table_regions is not None:
horizontal_mask, horizontal_segments = find_lines( regions = scale_areas(self.table_regions)
self.threshold, direction='horizontal',
line_size_scaling=self.line_size_scaling, iterations=self.iterations)
if self.table_areas is not None: vertical_mask, vertical_segments = find_lines(
areas = [] self.threshold,
for area in self.table_areas: regions=regions,
x1, y1, x2, y2 = area.split(",") direction="vertical",
x1 = float(x1) line_scale=self.line_scale,
y1 = float(y1) iterations=self.iterations,
x2 = float(x2) )
y2 = float(y2) horizontal_mask, horizontal_segments = find_lines(
x1, y1, x2, y2 = scale_pdf((x1, y1, x2, y2), image_scalers) self.threshold,
areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1))) regions=regions,
table_bbox = find_table_joints(areas, vertical_mask, horizontal_mask) direction="horizontal",
line_scale=self.line_scale,
iterations=self.iterations,
)
contours = find_contours(vertical_mask, horizontal_mask)
table_bbox = find_joints(contours, vertical_mask, horizontal_mask)
else: else:
contours = find_table_contours(vertical_mask, horizontal_mask) vertical_mask, vertical_segments = find_lines(
table_bbox = find_table_joints(contours, vertical_mask, horizontal_mask) self.threshold,
direction="vertical",
line_scale=self.line_scale,
iterations=self.iterations,
)
horizontal_mask, horizontal_segments = find_lines(
self.threshold,
direction="horizontal",
line_scale=self.line_scale,
iterations=self.iterations,
)
areas = scale_areas(self.table_areas)
table_bbox = find_joints(areas, vertical_mask, horizontal_mask)
self.table_bbox_unscaled = copy.deepcopy(table_bbox) self.table_bbox_unscaled = copy.deepcopy(table_bbox)
self.table_bbox, self.vertical_segments, self.horizontal_segments = scale_image( self.table_bbox, self.vertical_segments, self.horizontal_segments = scale_image(
table_bbox, vertical_segments, horizontal_segments, pdf_scalers) table_bbox, vertical_segments, horizontal_segments, pdf_scalers
)
def _generate_columns_and_rows(self, table_idx, tk): def _generate_columns_and_rows(self, table_idx, tk):
# select elements which lie within table_bbox # select elements which lie within table_bbox
t_bbox = {} t_bbox = {}
v_s, h_s = segments_in_bbox( v_s, h_s = segments_in_bbox(
tk, self.vertical_segments, self.horizontal_segments) tk, self.vertical_segments, self.horizontal_segments
t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) )
t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) t_bbox["horizontal"] = text_in_bbox(tk, self.horizontal_text)
self.t_bbox = t_bbox t_bbox["vertical"] = text_in_bbox(tk, self.vertical_text)
for direction in t_bbox: t_bbox["horizontal"].sort(key=lambda x: (-x.y0, x.x0))
t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0)) t_bbox["vertical"].sort(key=lambda x: (x.x0, -x.y0))
self.t_bbox = t_bbox
cols, rows = zip(*self.table_bbox[tk]) cols, rows = zip(*self.table_bbox[tk])
cols, rows = list(cols), list(rows) cols, rows = list(cols), list(rows)
cols.extend([tk[0], tk[2]]) cols.extend([tk[0], tk[2]])
rows.extend([tk[1], tk[3]]) rows.extend([tk[1], tk[3]])
# sort horizontal and vertical segments # sort horizontal and vertical segments
cols = merge_close_lines( cols = merge_close_lines(sorted(cols), line_tol=self.line_tol)
sorted(cols), line_close_tol=self.line_close_tol) rows = merge_close_lines(sorted(rows, reverse=True), line_tol=self.line_tol)
rows = merge_close_lines(
sorted(rows, reverse=True), line_close_tol=self.line_close_tol)
# make grid using x and y coord of shortlisted rows and cols # make grid using x and y coord of shortlisted rows and cols
cols = [(cols[i], cols[i + 1]) cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)]
for i in range(0, len(cols) - 1)] rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)]
rows = [(rows[i], rows[i + 1])
for i in range(0, len(rows) - 1)]
return cols, rows, v_s, h_s return cols, rows, v_s, h_s
def _generate_table(self, table_idx, cols, rows, **kwargs): def _generate_table(self, table_idx, cols, rows, **kwargs):
v_s = kwargs.get('v_s') v_s = kwargs.get("v_s")
h_s = kwargs.get('h_s') h_s = kwargs.get("h_s")
if v_s is None or h_s is None: if v_s is None or h_s is None:
raise ValueError('No segments found on {}'.format(self.rootname)) raise ValueError("No segments found on {}".format(self.rootname))
table = Table(cols, rows) table = Table(cols, rows)
# set table edges to True using ver+hor lines # set table edges to True using ver+hor lines
table = table.set_edges(v_s, h_s, joint_close_tol=self.joint_close_tol) table = table.set_edges(v_s, h_s, joint_tol=self.joint_tol)
# set table border edges to True # set table border edges to True
table = table.set_border() table = table.set_border()
# set spanning cells to True # set spanning cells to True
table = table.set_span() table = table.set_span()
pos_errors = [] pos_errors = []
for direction in self.t_bbox: # TODO: have a single list in place of two directional ones?
# sorted on x-coordinate based on reading order i.e. LTR or RTL
for direction in ["vertical", "horizontal"]:
for t in self.t_bbox[direction]: for t in self.t_bbox[direction]:
indices, error = get_table_index( indices, error = get_table_index(
table, t, direction, split_text=self.split_text, table,
flag_size=self.flag_size) t,
direction,
split_text=self.split_text,
flag_size=self.flag_size,
strip_text=self.strip_text,
)
if indices[:2] != (-1, -1): if indices[:2] != (-1, -1):
pos_errors.append(error) pos_errors.append(error)
indices = Lattice._reduce_index(table, indices, shift_text=self.shift_text) indices = Lattice._reduce_index(
table, indices, shift_text=self.shift_text
)
for r_idx, c_idx, text in indices: for r_idx, c_idx, text in indices:
table.cells[r_idx][c_idx].text = text table.cells[r_idx][c_idx].text = text
accuracy = compute_accuracy([[100, pos_errors]]) accuracy = compute_accuracy([[100, pos_errors]])
@@ -328,11 +365,11 @@ class Lattice(BaseParser):
table.shape = table.df.shape table.shape = table.df.shape
whitespace = compute_whitespace(data) whitespace = compute_whitespace(data)
table.flavor = 'lattice' table.flavor = "lattice"
table.accuracy = accuracy table.accuracy = accuracy
table.whitespace = whitespace table.whitespace = whitespace
table.order = table_idx + 1 table.order = table_idx + 1
table.page = int(os.path.basename(self.rootname).replace('page-', '')) table.page = int(os.path.basename(self.rootname).replace("page-", ""))
# for plotting # for plotting
_text = [] _text = []
@@ -341,16 +378,25 @@ class Lattice(BaseParser):
table._text = _text table._text = _text
table._image = (self.image, self.table_bbox_unscaled) table._image = (self.image, self.table_bbox_unscaled)
table._segments = (self.vertical_segments, self.horizontal_segments) table._segments = (self.vertical_segments, self.horizontal_segments)
table._textedges = None
return table return table
def extract_tables(self, filename): def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}):
self._generate_layout(filename) self._generate_layout(filename, layout_kwargs)
logger.info('Processing {}'.format(os.path.basename(self.rootname))) if not suppress_stdout:
logger.info("Processing {}".format(os.path.basename(self.rootname)))
if not self.horizontal_text: if not self.horizontal_text:
warnings.warn("No tables found on {}".format( if self.images:
os.path.basename(self.rootname))) warnings.warn(
"{} is image-based, camelot only works on"
" text-based pages.".format(os.path.basename(self.rootname))
)
else:
warnings.warn(
"No tables found on {}".format(os.path.basename(self.rootname))
)
return [] return []
self._generate_image() self._generate_image()
@@ -358,10 +404,12 @@ class Lattice(BaseParser):
_tables = [] _tables = []
# sort tables based on y-coord # sort tables based on y-coord
for table_idx, tk in enumerate(sorted( for table_idx, tk in enumerate(
self.table_bbox.keys(), key=lambda x: x[1], reverse=True)): sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True)
):
cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk) cols, rows, v_s, h_s = self._generate_columns_and_rows(table_idx, tk)
table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s) table = self._generate_table(table_idx, cols, rows, v_s=v_s, h_s=h_s)
table._bbox = tk
_tables.append(table) _tables.append(table)
return _tables return _tables
+168 -72
View File
@@ -1,6 +1,5 @@
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
from __future__ import division
import os import os
import logging import logging
import warnings import warnings
@@ -9,12 +8,11 @@ import numpy as np
import pandas as pd import pandas as pd
from .base import BaseParser from .base import BaseParser
from ..core import Table from ..core import TextEdges, Table
from ..utils import (text_in_bbox, get_table_index, compute_accuracy, from ..utils import text_in_bbox, get_table_index, compute_accuracy, compute_whitespace
compute_whitespace)
logger = logging.getLogger('camelot') logger = logging.getLogger("camelot")
class Stream(BaseParser): class Stream(BaseParser):
@@ -26,6 +24,10 @@ class Stream(BaseParser):
Parameters Parameters
---------- ----------
table_regions : list, optional (default: None)
List of page regions that may contain tables of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom
in PDF coordinate space.
table_areas : list, optional (default: None) table_areas : list, optional (default: None)
List of table area strings of the form x1,y1,x2,y2 List of table area strings of the form x1,y1,x2,y2
where (x1, y1) -> left-top and (x2, y2) -> right-bottom where (x1, y1) -> left-top and (x2, y2) -> right-bottom
@@ -38,29 +40,43 @@ class Stream(BaseParser):
flag_size : bool, optional (default: False) flag_size : bool, optional (default: False)
Flag text based on font size. Useful to detect Flag text based on font size. Useful to detect
super/subscripts. Adds <s></s> around flagged text. super/subscripts. Adds <s></s> around flagged text.
row_close_tol : int, optional (default: 2) strip_text : str, optional (default: '')
Characters that should be stripped from a string before
assigning it to a cell.
edge_tol : int, optional (default: 50)
Tolerance parameter for extending textedges vertically.
row_tol : int, optional (default: 2)
Tolerance parameter used to combine text vertically, Tolerance parameter used to combine text vertically,
to generate rows. to generate rows.
col_close_tol : int, optional (default: 0) column_tol : int, optional (default: 0)
Tolerance parameter used to combine text horizontally, Tolerance parameter used to combine text horizontally,
to generate columns. to generate columns.
margins : tuple, optional (default: (1.0, 0.5, 0.1))
PDFMiner char_margin, line_margin and word_margin.
For more information, refer `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
""" """
def __init__(self, table_areas=None, columns=None, split_text=False,
flag_size=False, row_close_tol=2, col_close_tol=0, def __init__(
margins=(1.0, 0.5, 0.1), **kwargs): self,
table_regions=None,
table_areas=None,
columns=None,
split_text=False,
flag_size=False,
strip_text="",
edge_tol=50,
row_tol=2,
column_tol=0,
**kwargs
):
self.table_regions = table_regions
self.table_areas = table_areas self.table_areas = table_areas
self.columns = columns self.columns = columns
self._validate_columns() self._validate_columns()
self.split_text = split_text self.split_text = split_text
self.flag_size = flag_size self.flag_size = flag_size
self.row_close_tol = row_close_tol self.strip_text = strip_text
self.col_close_tol = col_close_tol self.edge_tol = edge_tol
self.char_margin, self.line_margin, self.word_margin = margins self.row_tol = row_tol
self.column_tol = column_tol
@staticmethod @staticmethod
def _text_bbox(t_bbox): def _text_bbox(t_bbox):
@@ -86,7 +102,7 @@ class Stream(BaseParser):
return text_bbox return text_bbox
@staticmethod @staticmethod
def _group_rows(text, row_close_tol=2): def _group_rows(text, row_tol=2):
"""Groups PDFMiner text objects into rows vertically """Groups PDFMiner text objects into rows vertically
within a tolerance. within a tolerance.
@@ -94,7 +110,7 @@ class Stream(BaseParser):
---------- ----------
text : list text : list
List of PDFMiner text objects. List of PDFMiner text objects.
row_close_tol : int, optional (default: 2) row_tol : int, optional (default: 2)
Returns Returns
------- -------
@@ -110,17 +126,17 @@ class Stream(BaseParser):
# if t.get_text().strip() and all([obj.upright for obj in t._objs if # if t.get_text().strip() and all([obj.upright for obj in t._objs if
# type(obj) is LTChar]): # type(obj) is LTChar]):
if t.get_text().strip(): if t.get_text().strip():
if not np.isclose(row_y, t.y0, atol=row_close_tol): if not np.isclose(row_y, t.y0, atol=row_tol):
rows.append(sorted(temp, key=lambda t: t.x0)) rows.append(sorted(temp, key=lambda t: t.x0))
temp = [] temp = []
row_y = t.y0 row_y = t.y0
temp.append(t) temp.append(t)
rows.append(sorted(temp, key=lambda t: t.x0)) rows.append(sorted(temp, key=lambda t: t.x0))
__ = rows.pop(0) # hacky __ = rows.pop(0) # TODO: hacky
return rows return rows
@staticmethod @staticmethod
def _merge_columns(l, col_close_tol=0): def _merge_columns(l, column_tol=0):
"""Merges column boundaries horizontally if they overlap """Merges column boundaries horizontally if they overlap
or lie within a tolerance. or lie within a tolerance.
@@ -128,7 +144,7 @@ class Stream(BaseParser):
---------- ----------
l : list l : list
List of column x-coordinate tuples. List of column x-coordinate tuples.
col_close_tol : int, optional (default: 0) column_tol : int, optional (default: 0)
Returns Returns
------- -------
@@ -142,17 +158,18 @@ class Stream(BaseParser):
merged.append(higher) merged.append(higher)
else: else:
lower = merged[-1] lower = merged[-1]
if col_close_tol >= 0: if column_tol >= 0:
if (higher[0] <= lower[1] or if higher[0] <= lower[1] or np.isclose(
np.isclose(higher[0], lower[1], atol=col_close_tol)): higher[0], lower[1], atol=column_tol
):
upper_bound = max(lower[1], higher[1]) upper_bound = max(lower[1], higher[1])
lower_bound = min(lower[0], higher[0]) lower_bound = min(lower[0], higher[0])
merged[-1] = (lower_bound, upper_bound) merged[-1] = (lower_bound, upper_bound)
else: else:
merged.append(higher) merged.append(higher)
elif col_close_tol < 0: elif column_tol < 0:
if higher[0] <= lower[1]: if higher[0] <= lower[1]:
if np.isclose(higher[0], lower[1], atol=abs(col_close_tol)): if np.isclose(higher[0], lower[1], atol=abs(column_tol)):
merged.append(higher) merged.append(higher)
else: else:
upper_bound = max(lower[1], higher[1]) upper_bound = max(lower[1], higher[1])
@@ -179,17 +196,18 @@ class Stream(BaseParser):
List of continuous row y-coordinate tuples. List of continuous row y-coordinate tuples.
""" """
row_mids = [sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) row_mids = [
if len(r) > 0 else 0 for r in rows_grouped] sum([(t.y0 + t.y1) / 2 for t in r]) / len(r) if len(r) > 0 else 0
for r in rows_grouped
]
rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))] rows = [(row_mids[i] + row_mids[i - 1]) / 2 for i in range(1, len(row_mids))]
rows.insert(0, text_y_max) rows.insert(0, text_y_max)
rows.append(text_y_min) rows.append(text_y_min)
rows = [(rows[i], rows[i + 1]) rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)]
for i in range(0, len(rows) - 1)]
return rows return rows
@staticmethod @staticmethod
def _add_columns(cols, text, row_close_tol): def _add_columns(cols, text, row_tol):
"""Adds columns to existing list by taking into account """Adds columns to existing list by taking into account
the text that lies outside the current column x-coordinates. the text that lies outside the current column x-coordinates.
@@ -208,10 +226,11 @@ class Stream(BaseParser):
""" """
if text: if text:
text = Stream._group_rows(text, row_close_tol=row_close_tol) text = Stream._group_rows(text, row_tol=row_tol)
elements = [len(r) for r in text] elements = [len(r) for r in text]
new_cols = [(t.x0, t.x1) new_cols = [
for r in text if len(r) == max(elements) for t in r] (t.x0, t.x1) for r in text if len(r) == max(elements) for t in r
]
cols.extend(Stream._merge_columns(sorted(new_cols))) cols.extend(Stream._merge_columns(sorted(new_cols)))
return cols return cols
@@ -236,18 +255,57 @@ class Stream(BaseParser):
cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))] cols = [(cols[i][0] + cols[i - 1][1]) / 2 for i in range(1, len(cols))]
cols.insert(0, text_x_min) cols.insert(0, text_x_min)
cols.append(text_x_max) cols.append(text_x_max)
cols = [(cols[i], cols[i + 1]) cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)]
for i in range(0, len(cols) - 1)]
return cols return cols
def _validate_columns(self): def _validate_columns(self):
if self.table_areas is not None and self.columns is not None: if self.table_areas is not None and self.columns is not None:
if len(self.table_areas) != len(self.columns): if len(self.table_areas) != len(self.columns):
raise ValueError("Length of table_areas and columns" raise ValueError("Length of table_areas and columns" " should be equal")
" should be equal")
def _nurminen_table_detection(self, textlines):
"""A general implementation of the table detection algorithm
described by Anssi Nurminen's master's thesis.
Link: https://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3
Assumes that tables are situated relatively far apart
vertically.
"""
# TODO: add support for arabic text #141
# sort textlines in reading order
textlines.sort(key=lambda x: (-x.y0, x.x0))
textedges = TextEdges(edge_tol=self.edge_tol)
# generate left, middle and right textedges
textedges.generate(textlines)
# select relevant edges
relevant_textedges = textedges.get_relevant()
self.textedges.extend(relevant_textedges)
# guess table areas using textlines and relevant edges
table_bbox = textedges.get_table_areas(textlines, relevant_textedges)
# treat whole page as table area if no table areas found
if not len(table_bbox):
table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None}
return table_bbox
def _generate_table_bbox(self): def _generate_table_bbox(self):
if self.table_areas is not None: self.textedges = []
if self.table_areas is None:
hor_text = self.horizontal_text
if self.table_regions is not None:
# filter horizontal text
hor_text = []
for region in self.table_regions:
x1, y1, x2, y2 = region.split(",")
x1 = float(x1)
y1 = float(y1)
x2 = float(x2)
y2 = float(y2)
region_text = text_in_bbox((x1, y2, x2, y1), self.horizontal_text)
hor_text.extend(region_text)
# find tables based on nurminen's detection algorithm
table_bbox = self._nurminen_table_detection(hor_text)
else:
table_bbox = {} table_bbox = {}
for area in self.table_areas: for area in self.table_areas:
x1, y1, x2, y2 = area.split(",") x1, y1, x2, y2 = area.split(",")
@@ -256,22 +314,21 @@ class Stream(BaseParser):
x2 = float(x2) x2 = float(x2)
y2 = float(y2) y2 = float(y2)
table_bbox[(x1, y2, x2, y1)] = None table_bbox[(x1, y2, x2, y1)] = None
else:
table_bbox = {(0, 0, self.pdf_width, self.pdf_height): None}
self.table_bbox = table_bbox self.table_bbox = table_bbox
def _generate_columns_and_rows(self, table_idx, tk): def _generate_columns_and_rows(self, table_idx, tk):
# select elements which lie within table_bbox # select elements which lie within table_bbox
t_bbox = {} t_bbox = {}
t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text) t_bbox["horizontal"] = text_in_bbox(tk, self.horizontal_text)
t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text) t_bbox["vertical"] = text_in_bbox(tk, self.vertical_text)
t_bbox["horizontal"].sort(key=lambda x: (-x.y0, x.x0))
t_bbox["vertical"].sort(key=lambda x: (x.x0, -x.y0))
self.t_bbox = t_bbox self.t_bbox = t_bbox
for direction in self.t_bbox:
self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0))
text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox) text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox)
rows_grouped = self._group_rows(self.t_bbox['horizontal'], row_close_tol=self.row_close_tol) rows_grouped = self._group_rows(self.t_bbox["horizontal"], row_tol=self.row_tol)
rows = self._join_rows(rows_grouped, text_y_max, text_y_min) rows = self._join_rows(rows_grouped, text_y_max, text_y_min)
elements = [len(r) for r in rows_grouped] elements = [len(r) for r in rows_grouped]
@@ -280,30 +337,50 @@ class Stream(BaseParser):
# take (0, pdf_width) by default # take (0, pdf_width) by default
# similar to else condition # similar to else condition
# len can't be 1 # len can't be 1
cols = self.columns[table_idx].split(',') cols = self.columns[table_idx].split(",")
cols = [float(c) for c in cols] cols = [float(c) for c in cols]
cols.insert(0, text_x_min) cols.insert(0, text_x_min)
cols.append(text_x_max) cols.append(text_x_max)
cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)] cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)]
else: else:
# calculate mode of the list of number of elements in
# each row to guess the number of columns
ncols = max(set(elements), key=elements.count) ncols = max(set(elements), key=elements.count)
if ncols == 1: if ncols == 1:
warnings.warn("No tables found on {}".format( # if mode is 1, the page usually contains not tables
os.path.basename(self.rootname))) # but there can be cases where the list can be skewed,
# try to remove all 1s from list in this case and
# see if the list contains elements, if yes, then use
# the mode after removing 1s
elements = list(filter(lambda x: x != 1, elements))
if len(elements):
ncols = max(set(elements), key=elements.count)
else:
warnings.warn(
f"No tables found in table area {table_idx + 1}"
)
cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r] cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r]
cols = self._merge_columns(sorted(cols), col_close_tol=self.col_close_tol) cols = self._merge_columns(sorted(cols), column_tol=self.column_tol)
inner_text = [] inner_text = []
for i in range(1, len(cols)): for i in range(1, len(cols)):
left = cols[i - 1][1] left = cols[i - 1][1]
right = cols[i][0] right = cols[i][0]
inner_text.extend([t for direction in self.t_bbox inner_text.extend(
for t in self.t_bbox[direction] [
if t.x0 > left and t.x1 < right]) t
outer_text = [t for direction in self.t_bbox for direction in self.t_bbox
for t in self.t_bbox[direction] for t in self.t_bbox[direction]
if t.x0 > cols[-1][1] or t.x1 < cols[0][0]] if t.x0 > left and t.x1 < right
]
)
outer_text = [
t
for direction in self.t_bbox
for t in self.t_bbox[direction]
if t.x0 > cols[-1][1] or t.x1 < cols[0][0]
]
inner_text.extend(outer_text) inner_text.extend(outer_text)
cols = self._add_columns(cols, inner_text, self.row_close_tol) cols = self._add_columns(cols, inner_text, self.row_tol)
cols = self._join_columns(cols, text_x_min, text_x_max) cols = self._join_columns(cols, text_x_min, text_x_max)
return cols, rows return cols, rows
@@ -311,12 +388,20 @@ class Stream(BaseParser):
def _generate_table(self, table_idx, cols, rows, **kwargs): def _generate_table(self, table_idx, cols, rows, **kwargs):
table = Table(cols, rows) table = Table(cols, rows)
table = table.set_all_edges() table = table.set_all_edges()
pos_errors = [] pos_errors = []
for direction in self.t_bbox: # TODO: have a single list in place of two directional ones?
# sorted on x-coordinate based on reading order i.e. LTR or RTL
for direction in ["vertical", "horizontal"]:
for t in self.t_bbox[direction]: for t in self.t_bbox[direction]:
indices, error = get_table_index( indices, error = get_table_index(
table, t, direction, split_text=self.split_text, table,
flag_size=self.flag_size) t,
direction,
split_text=self.split_text,
flag_size=self.flag_size,
strip_text=self.strip_text,
)
if indices[:2] != (-1, -1): if indices[:2] != (-1, -1):
pos_errors.append(error) pos_errors.append(error)
for r_idx, c_idx, text in indices: for r_idx, c_idx, text in indices:
@@ -328,11 +413,11 @@ class Stream(BaseParser):
table.shape = table.df.shape table.shape = table.df.shape
whitespace = compute_whitespace(data) whitespace = compute_whitespace(data)
table.flavor = 'stream' table.flavor = "stream"
table.accuracy = accuracy table.accuracy = accuracy
table.whitespace = whitespace table.whitespace = whitespace
table.order = table_idx + 1 table.order = table_idx + 1
table.page = int(os.path.basename(self.rootname).replace('page-', '')) table.page = int(os.path.basename(self.rootname).replace("page-", ""))
# for plotting # for plotting
_text = [] _text = []
@@ -341,26 +426,37 @@ class Stream(BaseParser):
table._text = _text table._text = _text
table._image = None table._image = None
table._segments = None table._segments = None
table._textedges = self.textedges
return table return table
def extract_tables(self, filename): def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}):
self._generate_layout(filename) self._generate_layout(filename, layout_kwargs)
logger.info('Processing {}'.format(os.path.basename(self.rootname))) base_filename = os.path.basename(self.rootname)
if not suppress_stdout:
logger.info(f"Processing {base_filename}")
if not self.horizontal_text: if not self.horizontal_text:
warnings.warn("No tables found on {}".format( if self.images:
os.path.basename(self.rootname))) warnings.warn(
f"{base_filename} is image-based, camelot only works on"
" text-based pages."
)
else:
warnings.warn(f"No tables found on {base_filename}")
return [] return []
self._generate_table_bbox() self._generate_table_bbox()
_tables = [] _tables = []
# sort tables based on y-coord # sort tables based on y-coord
for table_idx, tk in enumerate(sorted( for table_idx, tk in enumerate(
self.table_bbox.keys(), key=lambda x: x[1], reverse=True)): sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True)
):
cols, rows = self._generate_columns_and_rows(table_idx, tk) cols, rows = self._generate_columns_and_rows(table_idx, tk)
table = self._generate_table(table_idx, cols, rows) table = self._generate_table(table_idx, cols, rows)
table._bbox = tk
_tables.append(table) _tables.append(table)
return _tables return _tables
+202 -87
View File
@@ -1,108 +1,223 @@
import cv2 # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import matplotlib.patches as patches try:
import matplotlib.pyplot as plt
import matplotlib.patches as patches
except ImportError:
_HAS_MPL = False
else:
_HAS_MPL = True
def plot_text(text): class PlotMethods(object):
"""Generates a plot for all text present on the PDF page. def __call__(self, table, kind="text", filename=None):
"""Plot elements found on PDF page based on kind
specified, useful for debugging and playing with different
parameters to get the best output.
Parameters Parameters
---------- ----------
text : list table: camelot.core.Table
A Camelot Table.
kind : str, optional (default: 'text')
{'text', 'grid', 'contour', 'joint', 'line'}
The element type for which a plot should be generated.
filepath: str, optional (default: None)
Absolute path for saving the generated plot.
""" Returns
fig = plt.figure() -------
ax = fig.add_subplot(111, aspect='equal') fig : matplotlib.fig.Figure
xs, ys = [], []
for t in text: """
xs.extend([t[0], t[2]]) if not _HAS_MPL:
ys.extend([t[1], t[3]]) raise ImportError("matplotlib is required for plotting.")
ax.add_patch(
patches.Rectangle( if table.flavor == "lattice" and kind in ["textedge"]:
(t[0], t[1]), raise NotImplementedError(
t[2] - t[0], f"Lattice flavor does not support kind='{kind}'"
t[3] - t[1] )
elif table.flavor == "stream" and kind in ["joint", "line"]:
raise NotImplementedError(
f"Stream flavor does not support kind='{kind}'"
) )
)
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
plt.show()
plot_method = getattr(self, kind)
return plot_method(table)
def plot_table(table): def text(self, table):
"""Generates a plot for the table. """Generates a plot for all text elements present
on the PDF page.
Parameters Parameters
---------- ----------
table : camelot.core.Table table : camelot.core.Table
""" Returns
for row in table.cells: -------
for cell in row: fig : matplotlib.fig.Figure
if cell.left:
plt.plot([cell.lb[0], cell.lt[0]],
[cell.lb[1], cell.lt[1]])
if cell.right:
plt.plot([cell.rb[0], cell.rt[0]],
[cell.rb[1], cell.rt[1]])
if cell.top:
plt.plot([cell.lt[0], cell.rt[0]],
[cell.lt[1], cell.rt[1]])
if cell.bottom:
plt.plot([cell.lb[0], cell.rb[0]],
[cell.lb[1], cell.rb[1]])
plt.show()
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect="equal")
xs, ys = [], []
for t in table._text:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.add_patch(patches.Rectangle((t[0], t[1]), t[2] - t[0], t[3] - t[1]))
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
return fig
def plot_contour(image): def grid(self, table):
"""Generates a plot for all table boundaries present on the """Generates a plot for the detected table grids
PDF page. on the PDF page.
Parameters Parameters
---------- ----------
image : tuple table : camelot.core.Table
""" Returns
img, table_bbox = image -------
for t in table_bbox.keys(): fig : matplotlib.fig.Figure
cv2.rectangle(img, (t[0], t[1]),
(t[2], t[3]), (255, 0, 0), 20)
plt.imshow(img)
plt.show()
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect="equal")
for row in table.cells:
for cell in row:
if cell.left:
ax.plot([cell.lb[0], cell.lt[0]], [cell.lb[1], cell.lt[1]])
if cell.right:
ax.plot([cell.rb[0], cell.rt[0]], [cell.rb[1], cell.rt[1]])
if cell.top:
ax.plot([cell.lt[0], cell.rt[0]], [cell.lt[1], cell.rt[1]])
if cell.bottom:
ax.plot([cell.lb[0], cell.rb[0]], [cell.lb[1], cell.rb[1]])
return fig
def plot_joint(image): def contour(self, table):
"""Generates a plot for all line intersections present on the """Generates a plot for all table boundaries present
PDF page. on the PDF page.
Parameters Parameters
---------- ----------
image : tuple table : camelot.core.Table
""" Returns
img, table_bbox = image -------
x_coord = [] fig : matplotlib.fig.Figure
y_coord = []
for k in table_bbox.keys():
for coord in table_bbox[k]:
x_coord.append(coord[0])
y_coord.append(coord[1])
plt.plot(x_coord, y_coord, 'ro')
plt.imshow(img)
plt.show()
"""
try:
img, table_bbox = table._image
_FOR_LATTICE = True
except TypeError:
img, table_bbox = (None, {table._bbox: None})
_FOR_LATTICE = False
fig = plt.figure()
ax = fig.add_subplot(111, aspect="equal")
def plot_line(segments): xs, ys = [], []
"""Generates a plot for all line segments present on the PDF page. if not _FOR_LATTICE:
for t in table._text:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.add_patch(
patches.Rectangle(
(t[0], t[1]), t[2] - t[0], t[3] - t[1], color="blue"
)
)
Parameters for t in table_bbox.keys():
---------- ax.add_patch(
segments : tuple patches.Rectangle(
(t[0], t[1]), t[2] - t[0], t[3] - t[1], fill=False, color="red"
)
)
if not _FOR_LATTICE:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
""" if _FOR_LATTICE:
vertical, horizontal = segments ax.imshow(img)
for v in vertical: return fig
plt.plot([v[0], v[2]], [v[1], v[3]])
for h in horizontal: def textedge(self, table):
plt.plot([h[0], h[2]], [h[1], h[3]]) """Generates a plot for relevant textedges.
plt.show()
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect="equal")
xs, ys = [], []
for t in table._text:
xs.extend([t[0], t[2]])
ys.extend([t[1], t[3]])
ax.add_patch(
patches.Rectangle((t[0], t[1]), t[2] - t[0], t[3] - t[1], color="blue")
)
ax.set_xlim(min(xs) - 10, max(xs) + 10)
ax.set_ylim(min(ys) - 10, max(ys) + 10)
for te in table._textedges:
ax.plot([te.x, te.x], [te.y0, te.y1])
return fig
def joint(self, table):
"""Generates a plot for all line intersections present
on the PDF page.
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
img, table_bbox = table._image
fig = plt.figure()
ax = fig.add_subplot(111, aspect="equal")
x_coord = []
y_coord = []
for k in table_bbox.keys():
for coord in table_bbox[k]:
x_coord.append(coord[0])
y_coord.append(coord[1])
ax.plot(x_coord, y_coord, "ro")
ax.imshow(img)
return fig
def line(self, table):
"""Generates a plot for all line segments present
on the PDF page.
Parameters
----------
table : camelot.core.Table
Returns
-------
fig : matplotlib.fig.Figure
"""
fig = plt.figure()
ax = fig.add_subplot(111, aspect="equal")
vertical, horizontal = table._segments
for v in vertical:
ax.plot([v[0], v[2]], [v[1], v[3]])
for h in horizontal:
ax.plot([h[0], h[2]], [h[1], h[3]])
return fig
+297 -98
View File
@@ -1,12 +1,16 @@
from __future__ import division # -*- coding: utf-8 -*-
import os
import re
import random
import shutil import shutil
import string
import tempfile import tempfile
import warnings import warnings
from itertools import groupby from itertools import groupby
from operator import itemgetter from operator import itemgetter
import numpy as np import numpy as np
from pdfminer.pdfparser import PDFParser from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage from pdfminer.pdfpage import PDFPage
@@ -14,43 +18,112 @@ from pdfminer.pdfpage import PDFTextExtractionNotAllowed
from pdfminer.pdfinterp import PDFResourceManager from pdfminer.pdfinterp import PDFResourceManager
from pdfminer.pdfinterp import PDFPageInterpreter from pdfminer.pdfinterp import PDFPageInterpreter
from pdfminer.converter import PDFPageAggregator from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import (LAParams, LTAnno, LTChar, LTTextLineHorizontal, from pdfminer.layout import (
LTTextLineVertical) LAParams,
LTAnno,
LTChar,
LTTextLineHorizontal,
LTTextLineVertical,
LTImage,
)
from urllib.request import Request, urlopen
from urllib.parse import urlparse as parse_url
from urllib.parse import uses_relative, uses_netloc, uses_params
stream_kwargs = [ _VALID_URLS = set(uses_relative + uses_netloc + uses_params)
'columns', _VALID_URLS.discard("")
'row_close_tol',
'col_close_tol'
] # https://github.com/pandas-dev/pandas/blob/master/pandas/io/common.py
def is_url(url):
"""Check to see if a URL has a valid protocol.
Parameters
----------
url : str or unicode
Returns
-------
isurl : bool
If url has a valid protocol return True otherwise False.
"""
try:
return parse_url(url).scheme in _VALID_URLS
except Exception:
return False
def random_string(length):
ret = ""
while length:
ret += random.choice(
string.digits + string.ascii_lowercase + string.ascii_uppercase
)
length -= 1
return ret
def download_url(url):
"""Download file from specified URL.
Parameters
----------
url : str or unicode
Returns
-------
filepath : str or unicode
Temporary filepath.
"""
filename = f"{random_string(6)}.pdf"
with tempfile.NamedTemporaryFile("wb", delete=False) as f:
headers = {"User-Agent": "Mozilla/5.0"}
request = Request(url, None, headers)
obj = urlopen(request)
content_type = obj.info().get_content_type()
if content_type != "application/pdf":
raise NotImplementedError("File format not supported")
f.write(obj.read())
filepath = os.path.join(os.path.dirname(f.name), filename)
shutil.move(f.name, filepath)
return filepath
stream_kwargs = ["columns", "edge_tol", "row_tol", "column_tol"]
lattice_kwargs = [ lattice_kwargs = [
'process_background', "process_background",
'line_size_scaling', "line_scale",
'copy_text', "copy_text",
'shift_text', "shift_text",
'line_close_tol', "line_tol",
'joint_close_tol', "joint_tol",
'threshold_blocksize', "threshold_blocksize",
'threshold_constant', "threshold_constant",
'iterations' "iterations",
"resolution",
] ]
def validate_input(kwargs, flavor='lattice'): def validate_input(kwargs, flavor="lattice"):
def check_intersection(parser_kwargs, input_kwargs): def check_intersection(parser_kwargs, input_kwargs):
isec = set(parser_kwargs).intersection(set(input_kwargs.keys())) isec = set(parser_kwargs).intersection(set(input_kwargs.keys()))
if isec: if isec:
raise ValueError("{} cannot be used with flavor='{}'".format( raise ValueError(
",".join(sorted(isec)), flavor)) f"{','.join(sorted(isec))} cannot be used with flavor='{flavor}'"
)
if flavor == 'lattice': if flavor == "lattice":
check_intersection(stream_kwargs, kwargs) check_intersection(stream_kwargs, kwargs)
else: else:
check_intersection(lattice_kwargs, kwargs) check_intersection(lattice_kwargs, kwargs)
def remove_extra(kwargs, flavor='lattice'): def remove_extra(kwargs, flavor="lattice"):
if flavor == 'lattice': if flavor == "lattice":
for key in kwargs.keys(): for key in kwargs.keys():
if key in stream_kwargs: if key in stream_kwargs:
kwargs.pop(key) kwargs.pop(key)
@@ -180,29 +253,33 @@ def scale_image(tables, v_segments, h_segments, factors):
v_segments_new = [] v_segments_new = []
for v in v_segments: for v in v_segments:
x1, x2 = scale(v[0], scaling_factor_x), scale(v[2], scaling_factor_x) x1, x2 = scale(v[0], scaling_factor_x), scale(v[2], scaling_factor_x)
y1, y2 = scale(abs(translate(-img_y, v[1])), scaling_factor_y), scale( y1, y2 = (
abs(translate(-img_y, v[3])), scaling_factor_y) scale(abs(translate(-img_y, v[1])), scaling_factor_y),
scale(abs(translate(-img_y, v[3])), scaling_factor_y),
)
v_segments_new.append((x1, y1, x2, y2)) v_segments_new.append((x1, y1, x2, y2))
h_segments_new = [] h_segments_new = []
for h in h_segments: for h in h_segments:
x1, x2 = scale(h[0], scaling_factor_x), scale(h[2], scaling_factor_x) x1, x2 = scale(h[0], scaling_factor_x), scale(h[2], scaling_factor_x)
y1, y2 = scale(abs(translate(-img_y, h[1])), scaling_factor_y), scale( y1, y2 = (
abs(translate(-img_y, h[3])), scaling_factor_y) scale(abs(translate(-img_y, h[1])), scaling_factor_y),
scale(abs(translate(-img_y, h[3])), scaling_factor_y),
)
h_segments_new.append((x1, y1, x2, y2)) h_segments_new.append((x1, y1, x2, y2))
return tables_new, v_segments_new, h_segments_new return tables_new, v_segments_new, h_segments_new
def get_rotation(lttextlh, lttextlv, ltchar): def get_rotation(chars, horizontal_text, vertical_text):
"""Detects if text in table is rotated or not using the current """Detects if text in table is rotated or not using the current
transformation matrix (CTM) and returns its orientation. transformation matrix (CTM) and returns its orientation.
Parameters Parameters
---------- ----------
lttextlh : list horizontal_text : list
List of PDFMiner LTTextLineHorizontal objects. List of PDFMiner LTTextLineHorizontal objects.
lttextlv : list vertical_text : list
List of PDFMiner LTTextLineVertical objects. List of PDFMiner LTTextLineVertical objects.
ltchar : list ltchar : list
List of PDFMiner LTChar objects. List of PDFMiner LTChar objects.
@@ -215,13 +292,13 @@ def get_rotation(lttextlh, lttextlv, ltchar):
rotated 90 degree clockwise. rotated 90 degree clockwise.
""" """
rotation = '' rotation = ""
hlen = len([t for t in lttextlh if t.get_text().strip()]) hlen = len([t for t in horizontal_text if t.get_text().strip()])
vlen = len([t for t in lttextlv if t.get_text().strip()]) vlen = len([t for t in vertical_text if t.get_text().strip()])
if hlen < vlen: if hlen < vlen:
clockwise = sum(t.matrix[1] < 0 and t.matrix[2] > 0 for t in ltchar) clockwise = sum(t.matrix[1] < 0 and t.matrix[2] > 0 for t in chars)
anticlockwise = sum(t.matrix[1] > 0 and t.matrix[2] < 0 for t in ltchar) anticlockwise = sum(t.matrix[1] > 0 and t.matrix[2] < 0 for t in chars)
rotation = 'anticlockwise' if clockwise < anticlockwise else 'clockwise' rotation = "anticlockwise" if clockwise < anticlockwise else "clockwise"
return rotation return rotation
@@ -249,10 +326,16 @@ def segments_in_bbox(bbox, v_segments, h_segments):
""" """
lb = (bbox[0], bbox[1]) lb = (bbox[0], bbox[1])
rt = (bbox[2], bbox[3]) rt = (bbox[2], bbox[3])
v_s = [v for v in v_segments if v[1] > lb[1] - 2 and v_s = [
v[3] < rt[1] + 2 and lb[0] - 2 <= v[0] <= rt[0] + 2] v
h_s = [h for h in h_segments if h[0] > lb[0] - 2 and for v in v_segments
h[2] < rt[0] + 2 and lb[1] - 2 <= h[1] <= rt[1] + 2] if v[1] > lb[1] - 2 and v[3] < rt[1] + 2 and lb[0] - 2 <= v[0] <= rt[0] + 2
]
h_s = [
h
for h in h_segments
if h[0] > lb[0] - 2 and h[2] < rt[0] + 2 and lb[1] - 2 <= h[1] <= rt[1] + 2
]
return v_s, h_s return v_s, h_s
@@ -263,7 +346,7 @@ def text_in_bbox(bbox, text):
---------- ----------
bbox : tuple bbox : tuple
Tuple (x1, y1, x2, y2) representing a bounding box where Tuple (x1, y1, x2, y2) representing a bounding box where
(x1, y1) -> lb and (x2, y2) -> rt in PDFMiner coordinate (x1, y1) -> lb and (x2, y2) -> rt in the PDF coordinate
space. space.
text : List of PDFMiner text objects. text : List of PDFMiner text objects.
@@ -275,20 +358,23 @@ def text_in_bbox(bbox, text):
""" """
lb = (bbox[0], bbox[1]) lb = (bbox[0], bbox[1])
rt = (bbox[2], bbox[3]) rt = (bbox[2], bbox[3])
t_bbox = [t for t in text if lb[0] - 2 <= (t.x0 + t.x1) / 2.0 t_bbox = [
<= rt[0] + 2 and lb[1] - 2 <= (t.y0 + t.y1) / 2.0 t
<= rt[1] + 2] for t in text
if lb[0] - 2 <= (t.x0 + t.x1) / 2.0 <= rt[0] + 2
and lb[1] - 2 <= (t.y0 + t.y1) / 2.0 <= rt[1] + 2
]
return t_bbox return t_bbox
def merge_close_lines(ar, line_close_tol=2): def merge_close_lines(ar, line_tol=2):
"""Merges lines which are within a tolerance by calculating a """Merges lines which are within a tolerance by calculating a
moving mean, based on their x or y axis projections. moving mean, based on their x or y axis projections.
Parameters Parameters
---------- ----------
ar : list ar : list
line_close_tol : int, optional (default: 2) line_tol : int, optional (default: 2)
Returns Returns
------- -------
@@ -301,7 +387,7 @@ def merge_close_lines(ar, line_close_tol=2):
ret.append(a) ret.append(a)
else: else:
temp = ret[-1] temp = ret[-1]
if np.isclose(temp, a, atol=line_close_tol): if np.isclose(temp, a, atol=line_tol):
temp = (temp + a) / 2.0 temp = (temp + a) / 2.0
ret[-1] = temp ret[-1] = temp
else: else:
@@ -309,7 +395,33 @@ def merge_close_lines(ar, line_close_tol=2):
return ret return ret
def flag_font_size(textline, direction): def text_strip(text, strip=""):
"""Strips any characters in `strip` that are present in `text`.
Parameters
----------
text : str
Text to process and strip.
strip : str, optional (default: '')
Characters that should be stripped from `text`.
Returns
-------
stripped : str
"""
if not strip:
return text
stripped = re.sub(
fr"[{''.join(map(re.escape, strip))}]", "", text, re.UNICODE
)
return stripped
# TODO: combine the following functions into a TextProcessor class which
# applies corresponding transformations sequentially
# (inspired from sklearn.pipeline.Pipeline)
def flag_font_size(textline, direction, strip_text=""):
"""Flags super/subscripts in text by enclosing them with <s></s>. """Flags super/subscripts in text by enclosing them with <s></s>.
May give false positives. May give false positives.
@@ -319,16 +431,27 @@ def flag_font_size(textline, direction):
List of PDFMiner LTChar objects. List of PDFMiner LTChar objects.
direction : string direction : string
Direction of the PDFMiner LTTextLine object. Direction of the PDFMiner LTTextLine object.
strip_text : str, optional (default: '')
Characters that should be stripped from a string before
assigning it to a cell.
Returns Returns
------- -------
fstring : string fstring : string
""" """
if direction == 'horizontal': if direction == "horizontal":
d = [(t.get_text(), np.round(t.height, decimals=6)) for t in textline if not isinstance(t, LTAnno)] d = [
elif direction == 'vertical': (t.get_text(), np.round(t.height, decimals=6))
d = [(t.get_text(), np.round(t.width, decimals=6)) for t in textline if not isinstance(t, LTAnno)] for t in textline
if not isinstance(t, LTAnno)
]
elif direction == "vertical":
d = [
(t.get_text(), np.round(t.width, decimals=6))
for t in textline
if not isinstance(t, LTAnno)
]
l = [np.round(size, decimals=6) for text, size in d] l = [np.round(size, decimals=6) for text, size in d]
if len(set(l)) > 1: if len(set(l)) > 1:
flist = [] flist = []
@@ -336,21 +459,21 @@ def flag_font_size(textline, direction):
for key, chars in groupby(d, itemgetter(1)): for key, chars in groupby(d, itemgetter(1)):
if key == min_size: if key == min_size:
fchars = [t[0] for t in chars] fchars = [t[0] for t in chars]
if ''.join(fchars).strip(): if "".join(fchars).strip():
fchars.insert(0, '<s>') fchars.insert(0, "<s>")
fchars.append('</s>') fchars.append("</s>")
flist.append(''.join(fchars)) flist.append("".join(fchars))
else: else:
fchars = [t[0] for t in chars] fchars = [t[0] for t in chars]
if ''.join(fchars).strip(): if "".join(fchars).strip():
flist.append(''.join(fchars)) flist.append("".join(fchars))
fstring = ''.join(flist).strip('\n') fstring = "".join(flist)
else: else:
fstring = ''.join([t.get_text() for t in textline]).strip('\n') fstring = "".join([t.get_text() for t in textline])
return fstring return text_strip(fstring, strip_text)
def split_textline(table, textline, direction, flag_size=False): def split_textline(table, textline, direction, flag_size=False, strip_text=""):
"""Splits PDFMiner LTTextLine into substrings if it spans across """Splits PDFMiner LTTextLine into substrings if it spans across
multiple rows/columns. multiple rows/columns.
@@ -365,6 +488,9 @@ def split_textline(table, textline, direction, flag_size=False):
Whether or not to highlight a substring using <s></s> Whether or not to highlight a substring using <s></s>
if its size is different from rest of the string. (Useful for if its size is different from rest of the string. (Useful for
super and subscripts.) super and subscripts.)
strip_text : str, optional (default: '')
Characters that should be stripped from a string before
assigning it to a cell.
Returns Returns
------- -------
@@ -377,38 +503,70 @@ def split_textline(table, textline, direction, flag_size=False):
cut_text = [] cut_text = []
bbox = textline.bbox bbox = textline.bbox
try: try:
if direction == 'horizontal' and not textline.is_empty(): if direction == "horizontal" and not textline.is_empty():
x_overlap = [i for i, x in enumerate(table.cols) if x[0] <= bbox[2] and bbox[0] <= x[1]] x_overlap = [
r_idx = [j for j, r in enumerate(table.rows) if r[1] <= (bbox[1] + bbox[3]) / 2 <= r[0]] i
for i, x in enumerate(table.cols)
if x[0] <= bbox[2] and bbox[0] <= x[1]
]
r_idx = [
j
for j, r in enumerate(table.rows)
if r[1] <= (bbox[1] + bbox[3]) / 2 <= r[0]
]
r = r_idx[0] r = r_idx[0]
x_cuts = [(c, table.cells[r][c].x2) for c in x_overlap if table.cells[r][c].right] x_cuts = [
(c, table.cells[r][c].x2) for c in x_overlap if table.cells[r][c].right
]
if not x_cuts: if not x_cuts:
x_cuts = [(x_overlap[0], table.cells[r][-1].x2)] x_cuts = [(x_overlap[0], table.cells[r][-1].x2)]
for obj in textline._objs: for obj in textline._objs:
row = table.rows[r] row = table.rows[r]
for cut in x_cuts: for cut in x_cuts:
if isinstance(obj, LTChar): if isinstance(obj, LTChar):
if (row[1] <= (obj.y0 + obj.y1) / 2 <= row[0] and if (
(obj.x0 + obj.x1) / 2 <= cut[1]): row[1] <= (obj.y0 + obj.y1) / 2 <= row[0]
and (obj.x0 + obj.x1) / 2 <= cut[1]
):
cut_text.append((r, cut[0], obj)) cut_text.append((r, cut[0], obj))
break break
else:
# TODO: add test
if cut == x_cuts[-1]:
cut_text.append((r, cut[0] + 1, obj))
elif isinstance(obj, LTAnno): elif isinstance(obj, LTAnno):
cut_text.append((r, cut[0], obj)) cut_text.append((r, cut[0], obj))
elif direction == 'vertical' and not textline.is_empty(): elif direction == "vertical" and not textline.is_empty():
y_overlap = [j for j, y in enumerate(table.rows) if y[1] <= bbox[3] and bbox[1] <= y[0]] y_overlap = [
c_idx = [i for i, c in enumerate(table.cols) if c[0] <= (bbox[0] + bbox[2]) / 2 <= c[1]] j
for j, y in enumerate(table.rows)
if y[1] <= bbox[3] and bbox[1] <= y[0]
]
c_idx = [
i
for i, c in enumerate(table.cols)
if c[0] <= (bbox[0] + bbox[2]) / 2 <= c[1]
]
c = c_idx[0] c = c_idx[0]
y_cuts = [(r, table.cells[r][c].y1) for r in y_overlap if table.cells[r][c].bottom] y_cuts = [
(r, table.cells[r][c].y1) for r in y_overlap if table.cells[r][c].bottom
]
if not y_cuts: if not y_cuts:
y_cuts = [(y_overlap[0], table.cells[-1][c].y1)] y_cuts = [(y_overlap[0], table.cells[-1][c].y1)]
for obj in textline._objs: for obj in textline._objs:
col = table.cols[c] col = table.cols[c]
for cut in y_cuts: for cut in y_cuts:
if isinstance(obj, LTChar): if isinstance(obj, LTChar):
if (col[0] <= (obj.x0 + obj.x1) / 2 <= col[1] and if (
(obj.y0 + obj.y1) / 2 >= cut[1]): col[0] <= (obj.x0 + obj.x1) / 2 <= col[1]
and (obj.y0 + obj.y1) / 2 >= cut[1]
):
cut_text.append((cut[0], c, obj)) cut_text.append((cut[0], c, obj))
break break
else:
# TODO: add test
if cut == y_cuts[-1]:
cut_text.append((cut[0] - 1, c, obj))
elif isinstance(obj, LTAnno): elif isinstance(obj, LTAnno):
cut_text.append((cut[0], c, obj)) cut_text.append((cut[0], c, obj))
except IndexError: except IndexError:
@@ -416,14 +574,26 @@ def split_textline(table, textline, direction, flag_size=False):
grouped_chars = [] grouped_chars = []
for key, chars in groupby(cut_text, itemgetter(0, 1)): for key, chars in groupby(cut_text, itemgetter(0, 1)):
if flag_size: if flag_size:
grouped_chars.append((key[0], key[1], flag_font_size([t[2] for t in chars], direction))) grouped_chars.append(
(
key[0],
key[1],
flag_font_size(
[t[2] for t in chars], direction, strip_text=strip_text
),
)
)
else: else:
gchars = [t[2].get_text() for t in chars] gchars = [t[2].get_text() for t in chars]
grouped_chars.append((key[0], key[1], ''.join(gchars).strip('\n'))) grouped_chars.append(
(key[0], key[1], text_strip("".join(gchars), strip_text))
)
return grouped_chars return grouped_chars
def get_table_index(table, t, direction, split_text=False, flag_size=False): def get_table_index(
table, t, direction, split_text=False, flag_size=False, strip_text=""
):
"""Gets indices of the table cell where given text object lies by """Gets indices of the table cell where given text object lies by
comparing their y and x-coordinates. comparing their y and x-coordinates.
@@ -441,6 +611,9 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
Whether or not to highlight a substring using <s></s> Whether or not to highlight a substring using <s></s>
if its size is different from rest of the string. (Useful for if its size is different from rest of the string. (Useful for
super and subscripts) super and subscripts)
strip_text : str, optional (default: '')
Characters that should be stripped from a string before
assigning it to a cell.
Returns Returns
------- -------
@@ -459,8 +632,9 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
""" """
r_idx, c_idx = [-1] * 2 r_idx, c_idx = [-1] * 2
for r in range(len(table.rows)): for r in range(len(table.rows)):
if ((t.y0 + t.y1) / 2.0 < table.rows[r][0] and if (t.y0 + t.y1) / 2.0 < table.rows[r][0] and (t.y0 + t.y1) / 2.0 > table.rows[
(t.y0 + t.y1) / 2.0 > table.rows[r][1]): r
][1]:
lt_col_overlap = [] lt_col_overlap = []
for c in table.cols: for c in table.cols:
if c[0] <= t.x1 and c[1] >= t.x0: if c[0] <= t.x1 and c[1] >= t.x0:
@@ -470,11 +644,12 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
else: else:
lt_col_overlap.append(-1) lt_col_overlap.append(-1)
if len(list(filter(lambda x: x != -1, lt_col_overlap))) == 0: if len(list(filter(lambda x: x != -1, lt_col_overlap))) == 0:
text = t.get_text().strip('\n') text = t.get_text().strip("\n")
text_range = (t.x0, t.x1) text_range = (t.x0, t.x1)
col_range = (table.cols[0][0], table.cols[-1][1]) col_range = (table.cols[0][0], table.cols[-1][1])
warnings.warn("{} {} does not lie in column range {}".format( warnings.warn(
text, text_range, col_range)) f"{text} {text_range} does not lie in column range {col_range}"
)
r_idx = r r_idx = r
c_idx = lt_col_overlap.index(max(lt_col_overlap)) c_idx = lt_col_overlap.index(max(lt_col_overlap))
break break
@@ -495,12 +670,26 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
error = ((X * (y0_offset + y1_offset)) + (Y * (x0_offset + x1_offset))) / charea error = ((X * (y0_offset + y1_offset)) + (Y * (x0_offset + x1_offset))) / charea
if split_text: if split_text:
return split_textline(table, t, direction, flag_size=flag_size), error return (
split_textline(
table, t, direction, flag_size=flag_size, strip_text=strip_text
),
error,
)
else: else:
if flag_size: if flag_size:
return [(r_idx, c_idx, flag_font_size(t._objs, direction))], error return (
[
(
r_idx,
c_idx,
flag_font_size(t._objs, direction, strip_text=strip_text),
)
],
error,
)
else: else:
return [(r_idx, c_idx, t.get_text().strip('\n'))], error return [(r_idx, c_idx, text_strip(t.get_text(), strip_text))], error
def compute_accuracy(error_weights): def compute_accuracy(error_weights):
@@ -551,14 +740,20 @@ def compute_whitespace(d):
r_nempty_cells, c_nempty_cells = [], [] r_nempty_cells, c_nempty_cells = [], []
for i in d: for i in d:
for j in i: for j in i:
if j.strip() == '': if j.strip() == "":
whitespace += 1 whitespace += 1
whitespace = 100 * (whitespace / float(len(d) * len(d[0]))) whitespace = 100 * (whitespace / float(len(d) * len(d[0])))
return whitespace return whitespace
def get_page_layout(filename, char_margin=1.0, line_margin=0.5, word_margin=0.1, def get_page_layout(
detect_vertical=True, all_texts=True): filename,
char_margin=1.0,
line_margin=0.5,
word_margin=0.1,
detect_vertical=True,
all_texts=True,
):
"""Returns a PDFMiner LTPage object and page dimension of a single """Returns a PDFMiner LTPage object and page dimension of a single
page pdf. See https://euske.github.io/pdfminer/ to get definitions page pdf. See https://euske.github.io/pdfminer/ to get definitions
of kwargs. of kwargs.
@@ -581,16 +776,18 @@ def get_page_layout(filename, char_margin=1.0, line_margin=0.5, word_margin=0.1,
Dimension of pdf page in the form (width, height). Dimension of pdf page in the form (width, height).
""" """
with open(filename, 'rb') as f: with open(filename, "rb") as f:
parser = PDFParser(f) parser = PDFParser(f)
document = PDFDocument(parser) document = PDFDocument(parser)
if not document.is_extractable: if not document.is_extractable:
raise PDFTextExtractionNotAllowed raise PDFTextExtractionNotAllowed(f"Text extraction is not allowed: {filename}")
laparams = LAParams(char_margin=char_margin, laparams = LAParams(
line_margin=line_margin, char_margin=char_margin,
word_margin=word_margin, line_margin=line_margin,
detect_vertical=detect_vertical, word_margin=word_margin,
all_texts=all_texts) detect_vertical=detect_vertical,
all_texts=all_texts,
)
rsrcmgr = PDFResourceManager() rsrcmgr = PDFResourceManager()
device = PDFPageAggregator(rsrcmgr, laparams=laparams) device = PDFPageAggregator(rsrcmgr, laparams=laparams)
interpreter = PDFPageInterpreter(rsrcmgr, device) interpreter = PDFPageInterpreter(rsrcmgr, device)
@@ -624,9 +821,11 @@ def get_text_objects(layout, ltype="char", t=None):
""" """
if ltype == "char": if ltype == "char":
LTObject = LTChar LTObject = LTChar
elif ltype == "lh": elif ltype == "image":
LTObject = LTImage
elif ltype == "horizontal_text":
LTObject = LTTextLineHorizontal LTObject = LTTextLineHorizontal
elif ltype == "lv": elif ltype == "vertical_text":
LTObject = LTTextLineVertical LTObject = LTTextLineVertical
if t is None: if t is None:
t = [] t = []
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@@ -0,0 +1,4 @@
"Età dellAssicuratoallepoca del decesso","Misura % dimaggiorazione"
"18-75","1,00%"
"76-80","0,50%"
"81 in poi","0,10%"
1 Età dell’Assicuratoall’epoca del decesso Misura % dimaggiorazione
2 18-75 1,00%
3 76-80 0,50%
4 81 in poi 0,10%
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<h3>Useful Links</h3> <h3>Useful Links</h3>
<ul> <ul>
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</p> </p>
@@ -0,0 +1,96 @@
"0","1","2","3","4","5","6","7","8","9","10"
"Sl.
No.","District","n
o
i
t
a
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opu2-1hs)
P1k
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y
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umptiomentadult/donnes)
nsres/h t
ouimk
Cqga
al re00n L
ot 4(I
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(","menteds, age)nes)
uireg sewastton
qn h
Reudis &ak
al cld L
tnen
To(Ife(I","","","","",""
"","","","","","","f
i
r
a
h
K","i
b
a
R","l
a
t
o
T","e
c
i
R","y
d
d
a
P"
"1","Balasore","23.65","20.81","3.04","3.47","2.78","0.86","3.64","0.17","0.25"
"2","Bhadrak","15.34","13.50","1.97","2.25","3.50","0.05","3.55","1.30","1.94"
"3","Balangir","17.01","14.97","2.19","2.50","6.23","0.10","6.33","3.83","5.72"
"4","Subarnapur","6.70","5.90","0.86","0.98","4.48","1.13","5.61","4.63","6.91"
"5","Cuttack","26.63","23.43","3.42","3.91","3.75","0.06","3.81","-0.10","-0.15"
"6","Jagatsingpur","11.49","10.11","1.48","1.69","2.10","0.02","2.12","0.43","0.64"
"7","Jajpur","18.59","16.36","2.39","2.73","2.13","0.04","2.17","-0.56","-0.84"
"8","Kendrapara","14.62","12.87","1.88","2.15","2.60","0.07","2.67","0.52","0.78"
"9","Dhenkanal","12.13","10.67","1.56","1.78","2.26","0.02","2.28","0.50","0.75"
"10","Angul","12.93","11.38","1.66","1.90","1.73","0.02","1.75","-0.15","-0.22"
"11","Ganjam","35.77","31.48","4.60","5.26","4.57","0.00","4.57","-0.69","-1.03"
"12","Gajapati","5.85","5.15","0.75","0.86","0.68","0.01","0.69","-0.17","-0.25"
"13","Kalahandi","16.12","14.19","2.07","2.37","5.42","1.13","6.55","4.18","6.24"
"14","Nuapada","6.18","5.44","0.79","0.90","1.98","0.08","2.06","1.16","1.73"
"15","Keonjhar","18.42","16.21","2.37","2.71","2.76","0.08","2.84","0.13","0.19"
"16","Koraput","14.09","12.40","1.81","2.07","2.08","0.34","2.42","0.35","0.52"
"17","Malkangiri","6.31","5.55","0.81","0.93","1.78","0.04","1.82","0.89","1.33"
"18","Nabarangpur","12.50","11.00","1.61","1.84","3.26","0.02","3.28","1.44","2.15"
"19","Rayagada","9.83","8.65","1.26","1.44","1.15","0.03","1.18","-0.26","-0.39"
"20","Mayurbhanj","25.61","22.54","3.29","3.76","4.90","0.06","4.96","1.20","1.79"
"21","Kandhamal","7.45","6.56","0.96","1.10","0.70","0.01","0.71","-0.39","-0.58"
"22","Boudh","4.51","3.97","0.58","0.66","1.73","0.03","1.76","1.10","1.64"
"23","Puri","17.29","15.22","2.22","2.54","2.45","0.99","3.44","0.90","1.34"
"24","Khordha","23.08","20.31","2.97","3.39","2.02","0.03","2.05","-1.34","-2.00"
"25","Nayagarh","9.78","8.61","1.26","1.44","2.10","0.00","2.10","0.66","0.99"
"26","Sambalpur","10.62","9.35","1.37","1.57","3.45","0.71","4.16","2.59","3.87"
"27","Bargarh","15.00","13.20","1.93","2.21","6.87","2.65","9.52","7.31","10.91"
"28","Deogarh","3.18","2.80","0.41","0.47","1.12","0.07","1.19","0.72","1.07"
"29","Jharsuguda","5.91","5.20","0.76","0.87","0.99","0.01","1.00","0.13","0.19"
"30","","","18.66","2.72","3.11","4.72","0.02","4.74","1.63","2.43"
1 0 1 2 3 4 5 6 7 8 9 10
2 Sl. No. District n o i t a l3 opu2-1hs) P1k d 20 la er n cto(I ef j o r P % 8 8 o ) s ult t tkh dna Aalen l v(I i u q E ) y n a umptiomentadult/donnes) nsres/h t ouimk Cqga al re00n L ot 4(I T @ ( menteds, age)nes) uireg sewastton qn h Reudis &ak al cld L tnen To(Ife(I
3 f i r a h K i b a R l a t o T e c i R y d d a P
4 1 Balasore 23.65 20.81 3.04 3.47 2.78 0.86 3.64 0.17 0.25
5 2 Bhadrak 15.34 13.50 1.97 2.25 3.50 0.05 3.55 1.30 1.94
6 3 Balangir 17.01 14.97 2.19 2.50 6.23 0.10 6.33 3.83 5.72
7 4 Subarnapur 6.70 5.90 0.86 0.98 4.48 1.13 5.61 4.63 6.91
8 5 Cuttack 26.63 23.43 3.42 3.91 3.75 0.06 3.81 -0.10 -0.15
9 6 Jagatsingpur 11.49 10.11 1.48 1.69 2.10 0.02 2.12 0.43 0.64
10 7 Jajpur 18.59 16.36 2.39 2.73 2.13 0.04 2.17 -0.56 -0.84
11 8 Kendrapara 14.62 12.87 1.88 2.15 2.60 0.07 2.67 0.52 0.78
12 9 Dhenkanal 12.13 10.67 1.56 1.78 2.26 0.02 2.28 0.50 0.75
13 10 Angul 12.93 11.38 1.66 1.90 1.73 0.02 1.75 -0.15 -0.22
14 11 Ganjam 35.77 31.48 4.60 5.26 4.57 0.00 4.57 -0.69 -1.03
15 12 Gajapati 5.85 5.15 0.75 0.86 0.68 0.01 0.69 -0.17 -0.25
16 13 Kalahandi 16.12 14.19 2.07 2.37 5.42 1.13 6.55 4.18 6.24
17 14 Nuapada 6.18 5.44 0.79 0.90 1.98 0.08 2.06 1.16 1.73
18 15 Keonjhar 18.42 16.21 2.37 2.71 2.76 0.08 2.84 0.13 0.19
19 16 Koraput 14.09 12.40 1.81 2.07 2.08 0.34 2.42 0.35 0.52
20 17 Malkangiri 6.31 5.55 0.81 0.93 1.78 0.04 1.82 0.89 1.33
21 18 Nabarangpur 12.50 11.00 1.61 1.84 3.26 0.02 3.28 1.44 2.15
22 19 Rayagada 9.83 8.65 1.26 1.44 1.15 0.03 1.18 -0.26 -0.39
23 20 Mayurbhanj 25.61 22.54 3.29 3.76 4.90 0.06 4.96 1.20 1.79
24 21 Kandhamal 7.45 6.56 0.96 1.10 0.70 0.01 0.71 -0.39 -0.58
25 22 Boudh 4.51 3.97 0.58 0.66 1.73 0.03 1.76 1.10 1.64
26 23 Puri 17.29 15.22 2.22 2.54 2.45 0.99 3.44 0.90 1.34
27 24 Khordha 23.08 20.31 2.97 3.39 2.02 0.03 2.05 -1.34 -2.00
28 25 Nayagarh 9.78 8.61 1.26 1.44 2.10 0.00 2.10 0.66 0.99
29 26 Sambalpur 10.62 9.35 1.37 1.57 3.45 0.71 4.16 2.59 3.87
30 27 Bargarh 15.00 13.20 1.93 2.21 6.87 2.65 9.52 7.31 10.91
31 28 Deogarh 3.18 2.80 0.41 0.47 1.12 0.07 1.19 0.72 1.07
32 29 Jharsuguda 5.91 5.20 0.76 0.87 0.99 0.01 1.00 0.13 0.19
33 30 18.66 2.72 3.11 4.72 0.02 4.74 1.63 2.43
@@ -0,0 +1,56 @@
"0","1","2","3","4","5","6","7"
"Rate of Accidental Deaths & Suicides and Population Growth During 1967 to 2013","","","","","","",""
"Sl.
No.","Year","Population
(in Lakh)","Accidental Deaths","","Suicides","","Percentage
Population
growth"
"","","","Incidence","Rate","Incidence","Rate",""
"(1)","(2)","(3)","(4)","(5)","(6)","(7)","(8)"
"1.","1967","4999","126762","25.4","38829","7.8","2.2"
"2.","1968","5111","126232","24.7","40688","8.0","2.2"
"3.","1969","5225","130755","25.0","43633","8.4","2.2"
"4.","1970","5343","139752","26.2","48428","9.1","2.3"
"5.","1971","5512","105601","19.2","43675","7.9","3.2"
"6.","1972","5635","106184","18.8","43601","7.7","2.2"
"7.","1973","5759","130654","22.7","40807","7.1","2.2"
"8.","1974","5883","110624","18.8","46008","7.8","2.2"
"9.","1975","6008","113016","18.8","42890","7.1","2.1"
"10.","1976","6136","111611","18.2","41415","6.7","2.1"
"11.","1977","6258","117338","18.8","39718","6.3","2.0"
"12.","1978","6384","118594","18.6","40207","6.3","2.0"
"13.","1979","6510","108987","16.7","38217","5.9","2.0"
"14.","1980","6636","116912","17.6","41663","6.3","1.9"
"15.","1981","6840","122221","17.9","40245","5.9","3.1"
"16.","1982","7052","125993","17.9","44732","6.3","3.1"
"17.","1983","7204","128576","17.8","46579","6.5","2.2"
"18.","1984","7356","134628","18.3","50571","6.9","2.1"
"19.","1985","7509","139657","18.6","52811","7.0","2.1"
"20.","1986","7661","147023","19.2","54357","7.1","2.0"
"21.","1987","7814","152314","19.5","58568","7.5","2.0"
"22.","1988","7966","163522","20.5","64270","8.1","1.9"
"23.","1989","8118","169066","20.8","68744","8.5","1.9"
"24.","1990","8270","174401","21.1","73911","8.9","1.9"
"25.","1991","8496","188003","22.1","78450","9.2","2.7"
"26.","1992","8677","194910","22.5","80149","9.2","2.1"
"27.","1993","8838","192357","21.8","84244","9.5","1.9"
"28.","1994","8997","190435","21.2","89195","9.9","1.8"
"29.","1995","9160","222487","24.3","89178","9.7","1.8"
"30.","1996","9319","220094","23.6","88241","9.5","1.7"
"31.","1997","9552","233903","24.5","95829","10.0","2.5"
"32.","1998","9709","258409","26.6","104713","10.8","1.6"
"33.","1999","9866","271918","27.6","110587","11.2","1.6"
"34.","2000","10021","255883","25.5","108593","10.8","1.6"
"35.","2001","10270","271019","26.4","108506","10.6","2.5"
"36.","2002","10506","260122","24.8","110417","10.5","2.3"
"37.","2003","10682","259625","24.3","110851","10.4","1.7"
"38.","2004","10856","277263","25.5","113697","10.5","1.6"
"39.","2005","11028","294175","26.7","113914","10.3","1.6"
"40.","2006","11198","314704","28.1","118112","10.5","1.5"
"41.","2007","11366","340794","30.0","122637","10.8","1.5"
"42.","2008","11531","342309","29.7","125017","10.8","1.4"
"43.","2009","11694","357021","30.5","127151","10.9","1.4"
"44.","2010","11858","384649","32.4","134599","11.4","1.4"
"45.","2011","12102","390884","32.3","135585","11.2","2.1"
"46.","2012","12134","394982","32.6","135445","11.2","1.0"
"47.","2013","12288","400517","32.6","134799","11.0","1.0"
1 0 1 2 3 4 5 6 7
2 Rate of Accidental Deaths & Suicides and Population Growth During 1967 to 2013
3 Sl. No. Year Population (in Lakh) Accidental Deaths Suicides Percentage Population growth
4 Incidence Rate Incidence Rate
5 (1) (2) (3) (4) (5) (6) (7) (8)
6 1. 1967 4999 126762 25.4 38829 7.8 2.2
7 2. 1968 5111 126232 24.7 40688 8.0 2.2
8 3. 1969 5225 130755 25.0 43633 8.4 2.2
9 4. 1970 5343 139752 26.2 48428 9.1 2.3
10 5. 1971 5512 105601 19.2 43675 7.9 3.2
11 6. 1972 5635 106184 18.8 43601 7.7 2.2
12 7. 1973 5759 130654 22.7 40807 7.1 2.2
13 8. 1974 5883 110624 18.8 46008 7.8 2.2
14 9. 1975 6008 113016 18.8 42890 7.1 2.1
15 10. 1976 6136 111611 18.2 41415 6.7 2.1
16 11. 1977 6258 117338 18.8 39718 6.3 2.0
17 12. 1978 6384 118594 18.6 40207 6.3 2.0
18 13. 1979 6510 108987 16.7 38217 5.9 2.0
19 14. 1980 6636 116912 17.6 41663 6.3 1.9
20 15. 1981 6840 122221 17.9 40245 5.9 3.1
21 16. 1982 7052 125993 17.9 44732 6.3 3.1
22 17. 1983 7204 128576 17.8 46579 6.5 2.2
23 18. 1984 7356 134628 18.3 50571 6.9 2.1
24 19. 1985 7509 139657 18.6 52811 7.0 2.1
25 20. 1986 7661 147023 19.2 54357 7.1 2.0
26 21. 1987 7814 152314 19.5 58568 7.5 2.0
27 22. 1988 7966 163522 20.5 64270 8.1 1.9
28 23. 1989 8118 169066 20.8 68744 8.5 1.9
29 24. 1990 8270 174401 21.1 73911 8.9 1.9
30 25. 1991 8496 188003 22.1 78450 9.2 2.7
31 26. 1992 8677 194910 22.5 80149 9.2 2.1
32 27. 1993 8838 192357 21.8 84244 9.5 1.9
33 28. 1994 8997 190435 21.2 89195 9.9 1.8
34 29. 1995 9160 222487 24.3 89178 9.7 1.8
35 30. 1996 9319 220094 23.6 88241 9.5 1.7
36 31. 1997 9552 233903 24.5 95829 10.0 2.5
37 32. 1998 9709 258409 26.6 104713 10.8 1.6
38 33. 1999 9866 271918 27.6 110587 11.2 1.6
39 34. 2000 10021 255883 25.5 108593 10.8 1.6
40 35. 2001 10270 271019 26.4 108506 10.6 2.5
41 36. 2002 10506 260122 24.8 110417 10.5 2.3
42 37. 2003 10682 259625 24.3 110851 10.4 1.7
43 38. 2004 10856 277263 25.5 113697 10.5 1.6
44 39. 2005 11028 294175 26.7 113914 10.3 1.6
45 40. 2006 11198 314704 28.1 118112 10.5 1.5
46 41. 2007 11366 340794 30.0 122637 10.8 1.5
47 42. 2008 11531 342309 29.7 125017 10.8 1.4
48 43. 2009 11694 357021 30.5 127151 10.9 1.4
49 44. 2010 11858 384649 32.4 134599 11.4 1.4
50 45. 2011 12102 390884 32.3 135585 11.2 2.1
51 46. 2012 12134 394982 32.6 135445 11.2 1.0
52 47. 2013 12288 400517 32.6 134799 11.0 1.0
@@ -0,0 +1,18 @@
"0","1","2"
"","e
bl
a
ail
v
a
t
o
n
a
t
a
D
*",""
1 0 1 2
2 e bl a ail v a t o n a t a D *
@@ -0,0 +1,3 @@
"0"
"Sl."
"No."
1 0
2 Sl.
3 No.
@@ -0,0 +1,3 @@
"0"
"Table 6 : DISTRIBUTION (%) OF HOUSEHOLDS BY LITERACY STATUS OF"
"MALE HEAD OF THE HOUSEHOLD"
1 0
2 Table 6 : DISTRIBUTION (%) OF HOUSEHOLDS BY LITERACY STATUS OF
3 MALE HEAD OF THE HOUSEHOLD
+5
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@@ -1,3 +1,7 @@
"[In thousands (11,062.6 represents 11,062,600) For year ending December 31. Based on Uniform Crime Reporting (UCR)","","","","","","","","",""
"Program. Represents arrests reported (not charged) by 12,910 agencies with a total population of 247,526,916 as estimated","","","","","","","","",""
"by the FBI. Some persons may be arrested more than once during a year, therefore, the data in this table, in some cases,","","","","","","","","",""
"could represent multiple arrests of the same person. See text, this section and source]","","","","","","","","",""
"","","Total","","","Male","","","Female","" "","","Total","","","Male","","","Female",""
"Offense charged","","Under 18","18 years","","Under 18","18 years","","Under 18","18 years" "Offense charged","","Under 18","18 years","","Under 18","18 years","","Under 18","18 years"
"","Total","years","and over","Total","years","and over","Total","years","and over" "","Total","years","and over","Total","years","and over","Total","years","and over"
@@ -36,3 +40,4 @@
"Curfew and loitering law violations ..","91.0","91.0","(X)","63.1","63.1","(X)","28.0","28.0","(X)" "Curfew and loitering law violations ..","91.0","91.0","(X)","63.1","63.1","(X)","28.0","28.0","(X)"
"Runaways . . . . . . . .. .. .. .. .. ....","75.8","75.8","(X)","34.0","34.0","(X)","41.8","41.8","(X)" "Runaways . . . . . . . .. .. .. .. .. ....","75.8","75.8","(X)","34.0","34.0","(X)","41.8","41.8","(X)"
""," Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.","","","","","","","","" ""," Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.","","","","","","","",""
"","Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.","","","","","","","",""
1 [In thousands (11,062.6 represents 11,062,600) For year ending December 31. Based on Uniform Crime Reporting (UCR) Total Male Female
1 [In thousands (11,062.6 represents 11,062,600) For year ending December 31. Based on Uniform Crime Reporting (UCR)
2 Program. Represents arrests reported (not charged) by 12,910 agencies with a total population of 247,526,916 as estimated
3 by the FBI. Some persons may be arrested more than once during a year, therefore, the data in this table, in some cases,
4 could represent multiple arrests of the same person. See text, this section and source]
5 Total Total Male Male Female Female
6 Offense charged Offense charged Under 18 Under 18 18 years Under 18 18 years Under 18 18 years 18 years Under 18 Under 18 18 years
7 Total years Total years and over Total years and over years Total and over and over Total years years and over
40 Curfew and loitering law violations .. Curfew and loitering law violations .. 91.0 91.0 91.0 (X) 63.1 63.1 (X) 63.1 28.0 (X) (X) 28.0 28.0 28.0 (X)
41 Runaways . . . . . . . .. .. .. .. .. .... Runaways . . . . . . . .. .. .. .. .. .... 75.8 75.8 75.8 (X) 34.0 34.0 (X) 34.0 41.8 (X) (X) 41.8 41.8 41.8 (X)
42 – Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution. – Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.
43 Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.
+5
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@@ -1,3 +1,7 @@
"","Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.","","","",""
"Table 325. Arrests by Race: 2009","","","","",""
"[Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies","","","","",""
"with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]","","","","",""
"","","","","American","" "","","","","American",""
"Offense charged","","","","Indian/Alaskan","Asian Pacific" "Offense charged","","","","Indian/Alaskan","Asian Pacific"
"","Total","White","Black","Native","Islander" "","Total","White","Black","Native","Islander"
@@ -34,3 +38,4 @@
"Curfew and loitering law violations . .. ... .. ....","89,578","54,439","33,207","872","1,060" "Curfew and loitering law violations . .. ... .. ....","89,578","54,439","33,207","872","1,060"
"Runaways . . . . . . . .. .. .. .. .. .. .... .. ..... .","73,616","48,343","19,670","1,653","3,950" "Runaways . . . . . . . .. .. .. .. .. .. .... .. ..... .","73,616","48,343","19,670","1,653","3,950"
"1 Except forcible rape and prostitution.","","","","","" "1 Except forcible rape and prostitution.","","","","",""
"","Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,","","","",""
1 Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files. American
1 Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.
2 Table 325. Arrests by Race: 2009
3 [Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies
4 with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]
5 American American
6 Offense charged Indian/Alaskan Indian/Alaskan Asian Pacific
7 Total Total White White Black Native Black Native Islander
38 Curfew and loitering law violations . .. ... .. .... 89,578 89,578 54,439 54,439 33,207 872 33,207 872 1,060
39 Runaways . . . . . . . .. .. .. .. .. .. .... .. ..... . 73,616 73,616 48,343 48,343 19,670 1,653 19,670 1,653 3,950
40 1 Except forcible rape and prostitution.
41 Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,
@@ -1,35 +1,43 @@
"","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross" "","2012 BETTER VARIETIES Harvest Report for Minnesota Central [ MNCE ]2012 BETTER VARIETIES Harvest Report for Minnesota Central [ MNCE ]","","","","","","","","","","","","ALL SEASON TESTALL SEASON TEST",""
"Company/Brandpy","","Product/Brand†","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income" "","Doug Toreen, Renville County, MN 55310 [ BIRD ISLAND ]Doug Toreen, Renville County, MN 55310","","","","","[ BIRD ISLAND ]","","","","","","","1.3 - 2.0 MAT. GROUP1.3 - 2.0 MAT. GROUP",""
"KrugerKruger","","K2-1901K2 1901","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846" "PREVPREV. CROP/HERB:","CROP/HERB","C/ S","Corn / Surpass, RoundupR","d","","","","","","","","","","S2MNCE01S2MNCE01"
"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830" "SOIL DESCRIPTION:","","C","Canisteo clay loam, mod. well drained, non-irrigated","","","","","","","","","","",""
"WensmanWensman","","W 3190NR2W 3190NR2","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818" "SOIL CONDITIONS:","","","High P, high K, 6.7 pH, 3.9% OM, Low SCN","","","","","","","","","","","30"" ROW SPACING"
"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806" "TILLAGE/CULTIVATION:TILLAGE/CULTIVATION:","","","conventional w/ fall tillconventional w/ fall till","","","","","","","","","","",""
"Dyna-Gro","","S15RY53","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804" "PEST MANAGEMENT:PEST MANAGEMENT:","","Roundup twiceRoundup twice","","","","","","","","","","","",""
"LG SeedsLG Seeds","","C2050R2C2050R2","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804" "SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
"Titan ProTitan Pro","","19M4219M42","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804" "HARVESTEDHARVESTED - STAND:","STAND","O t 3Oct 3","122 921 /A122,921 /A","","","","","","","","","AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS","",""
"StineStine","","19RA02 (2) §19RA02 (2) §","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801" "","","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
"AsgrowAsgrow","","AG1832 §AG1832 §","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794" "","Company/Brandpy","Product/Brand†","","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
"Prairie Brandiid","","PB-1566R2662","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$" "","KrugerKruger","K2-1901K2 1901","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
"Channel","","1901R2","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$" "","StineStine","19RA02 §19RA02 §","","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
"Titan ProTitan Pro","","20M120M1","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788" "","WensmanWensman","W 3190NR2W 3190NR2","","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
"KrugerKruger","","K2-2002K2-2002","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786" "","H ftHefty","H17Y12H17Y12","","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784" "","Dyna-Gro","S15RY53","","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771" "","LG SeedsLG Seeds","C2050R2C2050R2","","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770" "","Titan ProTitan Pro","19M4219M42","","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
"Titan ProTitan Pro","","15M2215M22","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769" "","StineStine","19RA02 (2) §19RA02 (2) §","","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769" "","AsgrowAsgrow","AG1832 §AG1832 §","","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
"HeftyHefty","","H20R3H20R3","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757" "","Prairie Brandiid","PB-1566R2662","","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
"PPrairie BrandiiBd","","PB 1743R2PB-1743R2","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752" "","Channel","1901R2","","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751" "","Titan ProTitan Pro","20M120M1","","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9" "","KrugerKruger","K2-2002K2-2002","","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
"HeftyHefty","","H14R3H14R3","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746" "","ChannelChannel","1700R21700R2","","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
"Prairie BrandPrairie Brand","","PB-2099NRR2PB-2099NRR2","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743" "","H ftHefty","H16Y11H16Y11","","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
"WensmanWensman","","W 3174NR2W 3174NR2","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740" "","Anderson","162R2Y","","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
"KKruger","","K2 1602K2-1602","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31" "","Titan ProTitan Pro","15M2215M22","","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$" "","DairylandDairyland","DSR-1710R2YDSR-1710R2Y","","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
"KrugerKruger","","K2-1902K2 1902","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730" "","HeftyHefty","H20R3H20R3","","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
"Prairie BrandPrairie Brand","","PB-1823R2PB-1823R2","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727" "","PPrairie BrandiiBd","PB 1743R2PB-1743R2","","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726" "","Gold Country","1741","","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
"","","","","","","Test Average =","47 647.6","7 77.7","00","","122 9122.9","","$713$713" "","Trelaye ay","20RR4303","","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
"","","","","","","LSD (0.10) =","5.7","0.3","ns","","37.8","","566.4" "","HeftyHefty","H14R3H14R3","","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
"","F.I.R.S.T. Managerg","","","","","C.V. =","8.8","2.9","","","56.4","","846.2" "","Prairie BrandPrairie Brand","PB-2099NRR2PB-2099NRR2","","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
"","WensmanWensman","W 3174NR2W 3174NR2","","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
"","KKruger","K2 1602K2-1602","","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
"","NK Brand","S18-C2 §§","","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
"","KrugerKruger","K2-1902K2 1902","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
"","Prairie BrandPrairie Brand","PB-1823R2PB-1823R2","","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
"","Gold CountryGold Country","15411541","","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
"","","","","","","","Test Average =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
"","","","","","","","LSD (0.10) =","5.7","0.3","ns","","37.8","","566.4"
1 2012 BETTER VARIETIES Harvest Report for Minnesota Central [ MNCE ]2012 BETTER VARIETIES Harvest Report for Minnesota Central [ MNCE ] SCN Seed Yield g Moisture Lodgingg Stand Gross ALL SEASON TESTALL SEASON TEST
2 Company/Brandpy Doug Toreen, Renville County, MN 55310 [ BIRD ISLAND ]Doug Toreen, Renville County, MN 55310 Product/Brand† Technol.† Resist. Mat. Trmt.† ) [ BIRD ISLAND ] Bu/A % % (x 1000)( Income 1.3 - 2.0 MAT. GROUP1.3 - 2.0 MAT. GROUP
3 KrugerKruger PREVPREV. CROP/HERB: CROP/HERB C/ S K2-1901K2 1901 Corn / Surpass, RoundupR RR2YRR2Y d RR 1.91.9 Ac,PVAc,PV 56.456.4 7.67.6 00 126.3126.3 $846$846 S2MNCE01S2MNCE01
4 StineStine SOIL DESCRIPTION: C 19RA02 §19RA02 § Canisteo clay loam, mod. well drained, non-irrigated RR2YRR2Y RR 1 91.9 CMBCMB 55.355.3 7 67.6 00 120 0120.0 $830$830
5 WensmanWensman SOIL CONDITIONS: W 3190NR2W 3190NR2 High P, high K, 6.7 pH, 3.9% OM, Low SCN RR2YRR2Y RR 1 91.9 AcAc 54 554.5 7 67.6 00 119 5119.5 $818$818 30" ROW SPACING
6 H ftHefty TILLAGE/CULTIVATION:TILLAGE/CULTIVATION: H17Y12H17Y12 conventional w/ fall tillconventional w/ fall till RR2YRR2Y MRMR 1 71.7 II 53 753.7 7 77.7 00 124 4124.4 $806$806
7 Dyna-Gro PEST MANAGEMENT:PEST MANAGEMENT: Roundup twiceRoundup twice S15RY53 RR2Y R 1.5 Ac 53.6 7.7 0 126.8 $804
8 LG SeedsLG Seeds SEEDED - RATE: May 15M15 C2050R2C2050R2 140,000 /A140 000 /A RR2YRR2Y RR 2.12.1 AcAc 53.653.6 7.77.7 00 123.9123.9 TOP 30 foTOP 30 for YIELD of 63 TESTED $804$804 YIELD of 63 TESTED
9 Titan ProTitan Pro HARVESTEDHARVESTED - STAND: STAND O t 3Oct 3 19M4219M42 122 921 /A122,921 /A RR2YRR2Y RR 1.91.9 CMBCMB 53.653.6 7.77.7 00 121.0121.0 AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS $804$804
10 StineStine 19RA02 (2) §19RA02 (2) § RR2YRR2Y RR 1 91.9 CMBCMB SCN 53 453.4 Seed 7 77.7 Yield 00 Moisture Lodgingg 123 9123.9 g Stand $801$801 Gross
11 AsgrowAsgrow Company/Brandpy Product/Brand† AG1832 §AG1832 § RR2YRR2Y Technol.† MRMR 1 81.8 Mat. Ac PVAc,PV Resist. 52 952.9 Trmt.† 7 77.7 Bu/A 00 % % 122 0122.0 (x 1000)( $794$794 ) Income
12 Prairie Brandiid KrugerKruger K2-1901K2 1901 PB-1566R2662 RR2Y2 RR2YRR2Y R 1.5 1.91.9 CMB RR 52.8 Ac,PVAc,PV 7.7 56.456.4 0 7.67.6 00 122.9 126.3126.3 $792$ $846$846
13 Channel StineStine 19RA02 §19RA02 § 1901R2 RR2Y RR2YRR2Y R 1.9 1 91.9 Ac,PV, RR 52.8 CMBCMB 7.6 55.355.3 0 7 67.6 00 123.4 120 0120.0 $791$ $830$830
14 Titan ProTitan Pro WensmanWensman W 3190NR2W 3190NR2 20M120M1 RR2YRR2Y RR 2.02.0 1 91.9 AmAm RR 52.552.5 AcAc 7.57.5 54 554.5 00 7 67.6 00 124.4124.4 119 5119.5 $788$788 $818$818
15 KrugerKruger H ftHefty H17Y12H17Y12 K2-2002K2-2002 RR2YRR2Y RR 2 02.0 1 71.7 Ac PVAc,PV MRMR 52 452.4 II 7 97.9 53 753.7 00 7 77.7 00 125 4125.4 124 4124.4 $786$786 $806$806
16 ChannelChannel Dyna-Gro S15RY53 1700R21700R2 RR2YRR2Y RR2Y RR 1 71.7 1.5 Ac PVAc,PV R 52 352.3 Ac 7 97.9 53.6 00 7.7 0 123 9123.9 126.8 $784$784 $804
17 H ftHefty LG SeedsLG Seeds C2050R2C2050R2 H16Y11H16Y11 RR2YRR2Y MRMR 1 61.6 2.12.1 II RR 51 451.4 AcAc 7 67.6 53.653.6 00 7.77.7 00 123 9123.9 123.9123.9 $771$771 $804$804
18 Anderson Titan ProTitan Pro 19M4219M42 162R2Y RR2Y RR2YRR2Y R 1.6 1.91.9 None RR 51.3 CMBCMB 7.5 53.653.6 0 7.77.7 00 119.5 121.0121.0 $770 $804$804
19 Titan ProTitan Pro StineStine 19RA02 (2) §19RA02 (2) § 15M2215M22 RR2YRR2Y RR 1.51.5 1 91.9 CMBCMB RR 51.351.3 CMBCMB 7.87.8 53 453.4 00 7 77.7 00 125.4125.4 123 9123.9 $769$769 $801$801
20 DairylandDairyland AsgrowAsgrow AG1832 §AG1832 § DSR-1710R2YDSR-1710R2Y RR2YRR2Y RR 1 71.7 1 81.8 CMBCMB MRMR 51 351.3 Ac PVAc,PV 7 77.7 52 952.9 00 7 77.7 00 122 0122.0 122 0122.0 $769$769 $794$794
21 HeftyHefty Prairie Brandiid PB-1566R2662 H20R3H20R3 RR2YRR2Y RR2Y2 MRMR 2 02.0 1.5 II R 50 550.5 CMB 8 28.2 52.8 00 7.7 0 121 0121.0 122.9 $757$757 $792$
22 PPrairie BrandiiBd Channel 1901R2 PB 1743R2PB-1743R2 RR2YRR2Y RR2Y RR 1 71.7 1.9 CMBCMB R 50 250.2 Ac,PV, 7 77.7 52.8 00 7.6 0 125 8125.8 123.4 $752$752 $791$
23 Gold Country Titan ProTitan Pro 20M120M1 1741 RR2Y RR2YRR2Y R 1.7 2.02.0 Ac RR 50.1 AmAm 7.8 52.552.5 0 7.57.5 00 123.9 124.4124.4 $751 $788$788
24 Trelaye ay KrugerKruger K2-2002K2-2002 20RR4303 RR2Y RR2YRR2Y R 2.00 2 02.0 Ac,Exc, RR 49.99 9 Ac PVAc,PV 7.66 52 452.4 00 7 97.9 00 127.88 125 4125.4 $749$9 $786$786
25 HeftyHefty ChannelChannel 1700R21700R2 H14R3H14R3 RR2YRR2Y MRMR 1.41.4 1 71.7 II RR 49.749.7 Ac PVAc,PV 7.77.7 52 352.3 00 7 97.9 00 122.9122.9 123 9123.9 $746$746 $784$784
26 Prairie BrandPrairie Brand H ftHefty H16Y11H16Y11 PB-2099NRR2PB-2099NRR2 RR2YRR2Y RR 2 02.0 1 61.6 CMBCMB MRMR 49 649.6 II 7 87.8 51 451.4 00 7 67.6 00 126 3126.3 123 9123.9 $743$743 $771$771
27 WensmanWensman Anderson 162R2Y W 3174NR2W 3174NR2 RR2YRR2Y RR2Y RR 1 71.7 1.6 AcAc R 49 349.3 None 7 67.6 51.3 00 7.5 0 122 5122.5 119.5 $740$740 $770
28 KKruger Titan ProTitan Pro 15M2215M22 K2 1602K2-1602 RR2YRR2Y R 1 61.6 1.51.5 Ac,PV RR 48.78 CMBCMB 7.66 51.351.3 00 7.87.8 00 125.412 125.4125.4 $731$31 $769$769
29 NK Brand DairylandDairyland DSR-1710R2YDSR-1710R2Y S18-C2 §§ RR2Y RR2YRR2Y R 1.8 1 71.7 CMB RR 48.7 CMBCMB 7.7 51 351.3 0 7 77.7 00 126.8 122 0122.0 $731$ $769$769
30 KrugerKruger HeftyHefty H20R3H20R3 K2-1902K2 1902 RR2YRR2Y RR 1.91.9 2 02.0 Ac,PVAc,PV MRMR 48.748.7 II 7.57.5 50 550.5 00 8 28.2 00 124.4124.4 121 0121.0 $730$730 $757$757
31 Prairie BrandPrairie Brand PPrairie BrandiiBd PB 1743R2PB-1743R2 PB-1823R2PB-1823R2 RR2YRR2Y RR 1 81.8 1 71.7 NoneNone RR 48 548.5 CMBCMB 7 67.6 50 250.2 00 7 77.7 00 121 0121.0 125 8125.8 $727$727 $752$752
32 Gold CountryGold Country Gold Country 1741 15411541 RR2YRR2Y RR2Y RR 1 51.5 1.7 AcAc R 48 448.4 Ac 7 67.6 50.1 00 7.8 0 110 4110.4 123.9 $726$726 $751
33 Trelaye ay 20RR4303 RR2Y 2.00 Test Average = R 47 647.6 Ac,Exc, 7 77.7 49.99 9 00 7.66 00 122 9122.9 127.88 $713$713 $749$9
34 HeftyHefty H14R3H14R3 RR2YRR2Y 1.41.4 LSD (0.10) = MRMR 5.7 II 0.3 49.749.7 ns 7.77.7 00 37.8 122.9122.9 566.4 $746$746
35 Prairie BrandPrairie Brand F.I.R.S.T. Managerg PB-2099NRR2PB-2099NRR2 RR2YRR2Y 2 02.0 C.V. = RR 8.8 CMBCMB 2.9 49 649.6 7 87.8 00 56.4 126 3126.3 846.2 $743$743
36 WensmanWensman W 3174NR2W 3174NR2 RR2YRR2Y 1 71.7 RR AcAc 49 349.3 7 67.6 00 122 5122.5 $740$740
37 KKruger K2 1602K2-1602 RR2YRR2Y 1 61.6 R Ac,PV 48.78 7.66 00 125.412 $731$31
38 NK Brand S18-C2 §§ RR2Y 1.8 R CMB 48.7 7.7 0 126.8 $731$
39 KrugerKruger K2-1902K2 1902 RR2YRR2Y 1.91.9 RR Ac,PVAc,PV 48.748.7 7.57.5 00 124.4124.4 $730$730
40 Prairie BrandPrairie Brand PB-1823R2PB-1823R2 RR2YRR2Y 1 81.8 RR NoneNone 48 548.5 7 67.6 00 121 0121.0 $727$727
41 Gold CountryGold Country 15411541 RR2YRR2Y 1 51.5 RR AcAc 48 448.4 7 67.6 00 110 4110.4 $726$726
42 Test Average = 47 647.6 7 77.7 00 122 9122.9 $713$713
43 LSD (0.10) = 5.7 0.3 ns 37.8 566.4
@@ -0,0 +1,39 @@
"TILLAGE/CULTIVATION:TILLAGE/CULTIVATION:","","conventional w/ fall tillconventional w/ fall till","","","","","","","","","","",""
"PEST MANAGEMENT:PEST MANAGEMENT:","","Roundup twiceRoundup twice","","","","","","","","","","",""
"SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
"HARVESTEDHARVESTED - STAND:STAND","","O t 3Oct 3","122 921 /A122,921 /A","","","","","","","","AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS","",""
"","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
"Company/Brandpy","","Product/Brand†","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
"KrugerKruger","","K2-1901K2 1901","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
"WensmanWensman","","W 3190NR2W 3190NR2","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
"Dyna-Gro","","S15RY53","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
"LG SeedsLG Seeds","","C2050R2C2050R2","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
"Titan ProTitan Pro","","19M4219M42","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
"StineStine","","19RA02 (2) §19RA02 (2) §","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
"AsgrowAsgrow","","AG1832 §AG1832 §","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
"Prairie Brandiid","","PB-1566R2662","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
"Channel","","1901R2","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
"Titan ProTitan Pro","","20M120M1","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
"KrugerKruger","","K2-2002K2-2002","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
"Titan ProTitan Pro","","15M2215M22","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
"HeftyHefty","","H20R3H20R3","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
"PPrairie BrandiiBd","","PB 1743R2PB-1743R2","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
"HeftyHefty","","H14R3H14R3","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
"Prairie BrandPrairie Brand","","PB-2099NRR2PB-2099NRR2","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
"WensmanWensman","","W 3174NR2W 3174NR2","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
"KKruger","","K2 1602K2-1602","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
"KrugerKruger","","K2-1902K2 1902","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
"Prairie BrandPrairie Brand","","PB-1823R2PB-1823R2","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
"","","","","","","Test Average =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
"","","","","","","LSD (0.10) =","5.7","0.3","ns","","37.8","","566.4"
"","F.I.R.S.T. Managerg","","","","","C.V. =","8.8","2.9","","","56.4","","846.2"
1 TILLAGE/CULTIVATION:TILLAGE/CULTIVATION: conventional w/ fall tillconventional w/ fall till
2 PEST MANAGEMENT:PEST MANAGEMENT: Roundup twiceRoundup twice
3 SEEDED - RATE: May 15M15 140,000 /A140 000 /A TOP 30 foTOP 30 for YIELD of 63 TESTED YIELD of 63 TESTED
4 HARVESTEDHARVESTED - STAND:STAND O t 3Oct 3 122 921 /A122,921 /A AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS
5 SCN Seed Yield Moisture Lodgingg g Stand Gross
6 Company/Brandpy Product/Brand† Technol.† Mat. Resist. Trmt.† Bu/A % % (x 1000)( ) Income
7 KrugerKruger K2-1901K2 1901 RR2YRR2Y 1.91.9 RR Ac,PVAc,PV 56.456.4 7.67.6 00 126.3126.3 $846$846
8 StineStine 19RA02 §19RA02 § RR2YRR2Y 1 91.9 RR CMBCMB 55.355.3 7 67.6 00 120 0120.0 $830$830
9 WensmanWensman W 3190NR2W 3190NR2 RR2YRR2Y 1 91.9 RR AcAc 54 554.5 7 67.6 00 119 5119.5 $818$818
10 H ftHefty H17Y12H17Y12 RR2YRR2Y 1 71.7 MRMR II 53 753.7 7 77.7 00 124 4124.4 $806$806
11 Dyna-Gro S15RY53 RR2Y 1.5 R Ac 53.6 7.7 0 126.8 $804
12 LG SeedsLG Seeds C2050R2C2050R2 RR2YRR2Y 2.12.1 RR AcAc 53.653.6 7.77.7 00 123.9123.9 $804$804
13 Titan ProTitan Pro 19M4219M42 RR2YRR2Y 1.91.9 RR CMBCMB 53.653.6 7.77.7 00 121.0121.0 $804$804
14 StineStine 19RA02 (2) §19RA02 (2) § RR2YRR2Y 1 91.9 RR CMBCMB 53 453.4 7 77.7 00 123 9123.9 $801$801
15 AsgrowAsgrow AG1832 §AG1832 § RR2YRR2Y 1 81.8 MRMR Ac PVAc,PV 52 952.9 7 77.7 00 122 0122.0 $794$794
16 Prairie Brandiid PB-1566R2662 RR2Y2 1.5 R CMB 52.8 7.7 0 122.9 $792$
17 Channel 1901R2 RR2Y 1.9 R Ac,PV, 52.8 7.6 0 123.4 $791$
18 Titan ProTitan Pro 20M120M1 RR2YRR2Y 2.02.0 RR AmAm 52.552.5 7.57.5 00 124.4124.4 $788$788
19 KrugerKruger K2-2002K2-2002 RR2YRR2Y 2 02.0 RR Ac PVAc,PV 52 452.4 7 97.9 00 125 4125.4 $786$786
20 ChannelChannel 1700R21700R2 RR2YRR2Y 1 71.7 RR Ac PVAc,PV 52 352.3 7 97.9 00 123 9123.9 $784$784
21 H ftHefty H16Y11H16Y11 RR2YRR2Y 1 61.6 MRMR II 51 451.4 7 67.6 00 123 9123.9 $771$771
22 Anderson 162R2Y RR2Y 1.6 R None 51.3 7.5 0 119.5 $770
23 Titan ProTitan Pro 15M2215M22 RR2YRR2Y 1.51.5 RR CMBCMB 51.351.3 7.87.8 00 125.4125.4 $769$769
24 DairylandDairyland DSR-1710R2YDSR-1710R2Y RR2YRR2Y 1 71.7 RR CMBCMB 51 351.3 7 77.7 00 122 0122.0 $769$769
25 HeftyHefty H20R3H20R3 RR2YRR2Y 2 02.0 MRMR II 50 550.5 8 28.2 00 121 0121.0 $757$757
26 PPrairie BrandiiBd PB 1743R2PB-1743R2 RR2YRR2Y 1 71.7 RR CMBCMB 50 250.2 7 77.7 00 125 8125.8 $752$752
27 Gold Country 1741 RR2Y 1.7 R Ac 50.1 7.8 0 123.9 $751
28 Trelaye ay 20RR4303 RR2Y 2.00 R Ac,Exc, 49.99 9 7.66 00 127.88 $749$9
29 HeftyHefty H14R3H14R3 RR2YRR2Y 1.41.4 MRMR II 49.749.7 7.77.7 00 122.9122.9 $746$746
30 Prairie BrandPrairie Brand PB-2099NRR2PB-2099NRR2 RR2YRR2Y 2 02.0 RR CMBCMB 49 649.6 7 87.8 00 126 3126.3 $743$743
31 WensmanWensman W 3174NR2W 3174NR2 RR2YRR2Y 1 71.7 RR AcAc 49 349.3 7 67.6 00 122 5122.5 $740$740
32 KKruger K2 1602K2-1602 RR2YRR2Y 1 61.6 R Ac,PV 48.78 7.66 00 125.412 $731$31
33 NK Brand S18-C2 §§ RR2Y 1.8 R CMB 48.7 7.7 0 126.8 $731$
34 KrugerKruger K2-1902K2 1902 RR2YRR2Y 1.91.9 RR Ac,PVAc,PV 48.748.7 7.57.5 00 124.4124.4 $730$730
35 Prairie BrandPrairie Brand PB-1823R2PB-1823R2 RR2YRR2Y 1 81.8 RR NoneNone 48 548.5 7 67.6 00 121 0121.0 $727$727
36 Gold CountryGold Country 15411541 RR2YRR2Y 1 51.5 RR AcAc 48 448.4 7 67.6 00 110 4110.4 $726$726
37 Test Average = 47 647.6 7 77.7 00 122 9122.9 $713$713
38 LSD (0.10) = 5.7 0.3 ns 37.8 566.4
39 F.I.R.S.T. Managerg C.V. = 8.8 2.9 56.4 846.2
@@ -0,0 +1,66 @@
"0","1","2","3","4"
"","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""
"Indicators","TOTAL","RURAL","TOTAL","RURAL"
"Child feeding practices (based on last-born child in the reference period) (%)","","","",""
"Children age 0-5 months exclusively breastfed9 .......................................................................... 76.9 80.0
Children age 6-9 months receiving solid/semi-solid food and breast milk .................................... 78.6 75.0
Children age 12-23 months receiving breast feeding along with complementary feeding ........... 31.8 24.2
Children age 6-35 months exclusively breastfed for at least 6 months ........................................ 4.7 3.4
Children under 3 years breastfed within one hour of birth ............................................................ 42.9 46.5","","","NA","NA"
"","","","85.9","89.3"
"","","","NA","NA"
"","","","30.0","27.7"
"","","","50.6","52.9"
"Birth Weight (%) (age below 36 months)","","","",""
"Percentage of Children weighed at birth ...................................................................................... 38.8 41.0 NA NA
Percentage of Children with low birth weight (out of those who weighted) ( below 2.5 kg) ......... 12.8 14.6 NA NA","","","",""
"Awareness about Diarrhoea (%)","","","",""
"Women know about what to do when a child gets diarrhoea ..................................................... 96.3 96.2","","","94.4","94.2"
"Awareness about ARI (%)","","","",""
"Women aware about danger signs of ARI10 ................................................................................. 55.9 59.7","","","32.8","34.7"
"Treatment of childhood diseases (based on last two surviving children born during the","","","",""
"","","","",""
"reference period) (%)","","","",""
"","","","",""
"Prevalence of diarrhoea in last 2 weeks for under 5 years old children ....................................... 1.6 1.3 6.5 7.0
Children with diarrhoea in the last 2 weeks and received ORS11 ................................................. 100.0 100.0 54.8 53.3
Children with diarrhoea in the last 2 weeks and sought advice/treatment ................................... 100.0 50.0 72.9 73.3
Prevalence of ARI in last 2 weeks for under 5 years old children ............................................ 4.3 3.9 3.9 4.2
Children with acute respiratory infection or fever in last 2 weeks and sought advice/treatment 37.5 33.3 69.8 68.0
Children with diarrhoea in the last 2 weeks given Zinc along with ORS ...................................... 66.6 50.0 NA NA","","","6.5","7.0"
"","","","54.8","53.3"
"","","","72.9","73.3"
"","","","3.9","4.2"
"","","","69.8","68.0"
"Awareness of RTI/STI and HIV/AIDS (%)","","","",""
"Women who have heard of RTI/STI ............................................................................................. 55.8 57.1
Women who have heard of HIV/AIDS .......................................................................................... 98.9 99.0
Women who have any symptoms of RTI/STI .............................................................................. 13.9 13.5
Women who know the place to go for testing of HIV/AIDS12 ....................................................... 59.9 57.1
Women underwent test for detecting HIV/AIDS12 ........................................................................ 37.3 36.8","","","34.8","38.2"
"","","","98.3","98.1"
"","","","15.6","16.1"
"","","","48.6","46.3"
"","","","14.1","12.3"
"Utilization of Government Health Services (%)","","","",""
"Antenatal care .............................................................................................................................. 69.7 66.7 79.0 81.0
Treatment for pregnancy complications ....................................................................................... 57.1 59.3 88.0 87.8
Treatment for post-delivery complications ................................................................................... 33.3 33.3 68.4 68.4
Treatment for vaginal discharge ................................................................................................... 20.0 25.0 73.9 71.4
Treatment for children with diarrhoea13 ........................................................................................ 50.0 100.0 NA NA
Treatment for children with ARI13 ................................................................................................. NA NA NA NA","","","79.0","81.0"
"","","","88.0","87.8"
"","","","68.4","68.4"
"","","","73.9","71.4"
"Birth Registration (%)","","","",""
"Children below age 5 years having birth registration done .......................................................... 40.6 44.3 NA NA
Children below age 5 years who received birth certificate (out of those registered) .................... 65.9 63.6 NA NA","","","",""
"Personal Habits (age 15 years and above) (%)","","","",""
"Men who use any kind of smokeless tobacco ............................................................................. 74.6 74.2 NA NA
Women who use any kind of smokeless tobacco ........................................................................ 59.5 58.9 NA NA
Men who smoke ........................................................................................................................... 56.0 56.4 NA NA
Women who smoke ...................................................................................................................... 18.4 18.0 NA NA
Men who consume alcohol ........................................................................................................... 58.4 58.2 NA NA
Women who consume alcohol ..................................................................................................... 10.9 9.3 NA NA","","","",""
"9 Children Who were given nothing but breast milk till the survey date 10Acute Respiratory Infections11Oral Rehydration Solutions/Salts.12Based on","","","",""
"the women who have heard of HIV/AIDS.13 Last two weeks","","","",""
1 0 1 2 3 4
2 DLHS-4 (2012-13) DLHS-3 (2007-08)
3 Indicators TOTAL RURAL TOTAL RURAL
4 Child feeding practices (based on last-born child in the reference period) (%)
5 Children age 0-5 months exclusively breastfed9 .......................................................................... 76.9 80.0 Children age 6-9 months receiving solid/semi-solid food and breast milk .................................... 78.6 75.0 Children age 12-23 months receiving breast feeding along with complementary feeding ........... 31.8 24.2 Children age 6-35 months exclusively breastfed for at least 6 months ........................................ 4.7 3.4 Children under 3 years breastfed within one hour of birth ............................................................ 42.9 46.5 NA NA
6 85.9 89.3
7 NA NA
8 30.0 27.7
9 50.6 52.9
10 Birth Weight (%) (age below 36 months)
11 Percentage of Children weighed at birth ...................................................................................... 38.8 41.0 NA NA Percentage of Children with low birth weight (out of those who weighted) ( below 2.5 kg) ......... 12.8 14.6 NA NA
12 Awareness about Diarrhoea (%)
13 Women know about what to do when a child gets diarrhoea ..................................................... 96.3 96.2 94.4 94.2
14 Awareness about ARI (%)
15 Women aware about danger signs of ARI10 ................................................................................. 55.9 59.7 32.8 34.7
16 Treatment of childhood diseases (based on last two surviving children born during the
17
18 reference period) (%)
19
20 Prevalence of diarrhoea in last 2 weeks for under 5 years old children ....................................... 1.6 1.3 6.5 7.0 Children with diarrhoea in the last 2 weeks and received ORS11 ................................................. 100.0 100.0 54.8 53.3 Children with diarrhoea in the last 2 weeks and sought advice/treatment ................................... 100.0 50.0 72.9 73.3 Prevalence of ARI in last 2 weeks for under 5 years old children ............................................ 4.3 3.9 3.9 4.2 Children with acute respiratory infection or fever in last 2 weeks and sought advice/treatment 37.5 33.3 69.8 68.0 Children with diarrhoea in the last 2 weeks given Zinc along with ORS ...................................... 66.6 50.0 NA NA 6.5 7.0
21 54.8 53.3
22 72.9 73.3
23 3.9 4.2
24 69.8 68.0
25 Awareness of RTI/STI and HIV/AIDS (%)
26 Women who have heard of RTI/STI ............................................................................................. 55.8 57.1 Women who have heard of HIV/AIDS .......................................................................................... 98.9 99.0 Women who have any symptoms of RTI/STI .............................................................................. 13.9 13.5 Women who know the place to go for testing of HIV/AIDS12 ....................................................... 59.9 57.1 Women underwent test for detecting HIV/AIDS12 ........................................................................ 37.3 36.8 34.8 38.2
27 98.3 98.1
28 15.6 16.1
29 48.6 46.3
30 14.1 12.3
31 Utilization of Government Health Services (%)
32 Antenatal care .............................................................................................................................. 69.7 66.7 79.0 81.0 Treatment for pregnancy complications ....................................................................................... 57.1 59.3 88.0 87.8 Treatment for post-delivery complications ................................................................................... 33.3 33.3 68.4 68.4 Treatment for vaginal discharge ................................................................................................... 20.0 25.0 73.9 71.4 Treatment for children with diarrhoea13 ........................................................................................ 50.0 100.0 NA NA Treatment for children with ARI13 ................................................................................................. NA NA NA NA 79.0 81.0
33 88.0 87.8
34 68.4 68.4
35 73.9 71.4
36 Birth Registration (%)
37 Children below age 5 years having birth registration done .......................................................... 40.6 44.3 NA NA Children below age 5 years who received birth certificate (out of those registered) .................... 65.9 63.6 NA NA
38 Personal Habits (age 15 years and above) (%)
39 Men who use any kind of smokeless tobacco ............................................................................. 74.6 74.2 NA NA Women who use any kind of smokeless tobacco ........................................................................ 59.5 58.9 NA NA Men who smoke ........................................................................................................................... 56.0 56.4 NA NA Women who smoke ...................................................................................................................... 18.4 18.0 NA NA Men who consume alcohol ........................................................................................................... 58.4 58.2 NA NA Women who consume alcohol ..................................................................................................... 10.9 9.3 NA NA
40 9 Children Who were given nothing but breast milk till the survey date 10Acute Respiratory Infections11Oral Rehydration Solutions/Salts.12Based on
41 the women who have heard of HIV/AIDS.13 Last two weeks
@@ -0,0 +1,44 @@
"0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23"
"","Table: 5 Public Health Outlay 2012-13 (Budget Estimates) (Rs. in 000)","","","","","","","","","","","","","","","","","","","","","",""
"","States-A","","","Revenue","","","","","","Capital","","","","","","Total","","","Others(1)","","","Total",""
"","","","","","","","","","","","","","","","","Revenue &","","","","","","",""
"","","","Medical & Family Medical & Family
Public Welfare Public Welfare
Health Health","","","","","","","","","","","","","","","","","","","",""
"","","","","","","","","","","","","","","","","Capital","","","","","","",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"","Andhra Pradesh","","","47,824,589","","","9,967,837","","","1,275,000","","","15,000","","","59,082,426","","","14,898,243","","","73,980,669",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Arunachal Pradesh 2,241,609 107,549 23,000 0 2,372,158 86,336 2,458,494","","","","","","","","","","","","","","","","","","","","","","",""
"","Assam","","","14,874,821","","","2,554,197","","","161,600","","","0","","","17,590,618","","","4,408,505","","","21,999,123",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Bihar 21,016,708 4,332,141 5,329,000 0 30,677,849 2,251,571 32,929,420","","","","","","","","","","","","","","","","","","","","","","",""
"","Chhattisgarh","","","11,427,311","","","1,415,660","","","2,366,592","","","0","","","15,209,563","","","311,163","","","15,520,726",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Delhi 28,084,780 411,700 4,550,000 0 33,046,480 5,000 33,051,480","","","","","","","","","","","","","","","","","","","","","","",""
"","Goa","","","4,055,567","","","110,000","","","330,053","","","0","","","4,495,620","","","12,560","","","4,508,180",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Gujarat 26,328,400 6,922,900 12,664,000 42,000 45,957,300 455,860 46,413,160","","","","","","","","","","","","","","","","","","","","","","",""
"","Haryana","","","15,156,681","","","1,333,527","","","40,100","","","0","","","16,530,308","","","1,222,698","","","17,753,006",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Himachal Pradesh 8,647,229 1,331,529 580,800 0 10,559,558 725,315 11,284,873","","","","","","","","","","","","","","","","","","","","","","",""
"","Jammu & Kashmir","","","14,411,984","","","270,840","","","3,188,550","","","0","","","17,871,374","","","166,229","","","18,037,603",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Jharkhand 8,185,079 3,008,077 3,525,558 0 14,718,714 745,139 15,463,853","","","","","","","","","","","","","","","","","","","","","","",""
"","Karnataka","","","34,939,843","","","4,317,801","","","3,669,700","","","0","","","42,927,344","","","631,088","","","43,558,432",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Kerala 27,923,965 3,985,473 929,503 0 32,838,941 334,640 33,173,581","","","","","","","","","","","","","","","","","","","","","","",""
"","Madhya Pradesh","","","28,459,540","","","4,072,016","","","3,432,711","","","0","","","35,964,267","","","472,139","","","36,436,406",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Maharashtra 55,011,100 6,680,721 5,038,576 0 66,730,397 313,762 67,044,159","","","","","","","","","","","","","","","","","","","","","","",""
"","Manipur","","","2,494,600","","","187,700","","","897,400","","","0","","","3,579,700","","","0","","","3,579,700",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Meghalaya 2,894,093 342,893 705,500 5,000 3,947,486 24,128 3,971,614","","","","","","","","","","","","","","","","","","","","","","",""
"","Mizoram","","","1,743,501","","","84,185","","","10,250","","","0","","","1,837,936","","","17,060","","","1,854,996",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Nagaland 2,368,724 204,329 226,400 0 2,799,453 783,054 3,582,507","","","","","","","","","","","","","","","","","","","","","","",""
"","Odisha","","","14,317,179","","","2,552,292","","","1,107,250","","","0","","","17,976,721","","","451,438","","","18,428,159",""
"","","","","","","","","","","","","","","","","","","","","","","",""
"Puducherry 4,191,757 52,249 192,400 0 4,436,406 2,173 4,438,579","","","","","","","","","","","","","","","","","","","","","","",""
"","Punjab","","","19,775,485","","","2,208,343","","","2,470,882","","","0","","","24,454,710","","","1,436,522","","","25,891,232",""
"","","","","","","","","","","","","","","","","","","","","","","",""
1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
2 Table: 5 Public Health Outlay 2012-13 (Budget Estimates) (Rs. in 000)
3 States-A Revenue Capital Total Others(1) Total
4 Revenue &
5 Medical & Family Medical & Family Public Welfare Public Welfare Health Health
6 Capital
7
8 Andhra Pradesh 47,824,589 9,967,837 1,275,000 15,000 59,082,426 14,898,243 73,980,669
9
10 Arunachal Pradesh 2,241,609 107,549 23,000 0 2,372,158 86,336 2,458,494
11 Assam 14,874,821 2,554,197 161,600 0 17,590,618 4,408,505 21,999,123
12
13 Bihar 21,016,708 4,332,141 5,329,000 0 30,677,849 2,251,571 32,929,420
14 Chhattisgarh 11,427,311 1,415,660 2,366,592 0 15,209,563 311,163 15,520,726
15
16 Delhi 28,084,780 411,700 4,550,000 0 33,046,480 5,000 33,051,480
17 Goa 4,055,567 110,000 330,053 0 4,495,620 12,560 4,508,180
18
19 Gujarat 26,328,400 6,922,900 12,664,000 42,000 45,957,300 455,860 46,413,160
20 Haryana 15,156,681 1,333,527 40,100 0 16,530,308 1,222,698 17,753,006
21
22 Himachal Pradesh 8,647,229 1,331,529 580,800 0 10,559,558 725,315 11,284,873
23 Jammu & Kashmir 14,411,984 270,840 3,188,550 0 17,871,374 166,229 18,037,603
24
25 Jharkhand 8,185,079 3,008,077 3,525,558 0 14,718,714 745,139 15,463,853
26 Karnataka 34,939,843 4,317,801 3,669,700 0 42,927,344 631,088 43,558,432
27
28 Kerala 27,923,965 3,985,473 929,503 0 32,838,941 334,640 33,173,581
29 Madhya Pradesh 28,459,540 4,072,016 3,432,711 0 35,964,267 472,139 36,436,406
30
31 Maharashtra 55,011,100 6,680,721 5,038,576 0 66,730,397 313,762 67,044,159
32 Manipur 2,494,600 187,700 897,400 0 3,579,700 0 3,579,700
33
34 Meghalaya 2,894,093 342,893 705,500 5,000 3,947,486 24,128 3,971,614
35 Mizoram 1,743,501 84,185 10,250 0 1,837,936 17,060 1,854,996
36
37 Nagaland 2,368,724 204,329 226,400 0 2,799,453 783,054 3,582,507
38 Odisha 14,317,179 2,552,292 1,107,250 0 17,976,721 451,438 18,428,159
39
40 Puducherry 4,191,757 52,249 192,400 0 4,436,406 2,173 4,438,579
41 Punjab 19,775,485 2,208,343 2,470,882 0 24,454,710 1,436,522 25,891,232
42
@@ -0,0 +1,71 @@
"0","1","2","3","4"
"","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""
"Indicators","TOTAL","RURAL","TOTAL","RURAL"
"Reported Prevalence of Morbidity","","","",""
"Any Injury ..................................................................................................................................... 1.9 2.1
Acute Illness ................................................................................................................................. 4.5 5.6
Chronic Illness .............................................................................................................................. 5.1 4.1","","","",""
"","","","",""
"","","","",""
"Reported Prevalence of Chronic Illness during last one year (%)","","","",""
"Disease of respiratory system ...................................................................................................... 11.7 15.0
Disease of cardiovascular system ................................................................................................ 8.9 9.3
Persons suffering from tuberculosis ............................................................................................. 2.2 1.5","","","",""
"","","","",""
"","","","",""
"Anaemia Status by Haemoglobin Level14 (%)","","","",""
"Children (6-59 months) having anaemia ...................................................................................... 68.5 71.9
Children (6-59 months) having severe anaemia .......................................................................... 6.7 9.4
Children (6-9 Years) having anaemia - Male ................................................................................ 67.1 71.4
Children (6-9 Years) having severe anaemia - Male .................................................................... 4.4 2.4
Children (6-9 Years) having anaemia - Female ........................................................................... 52.4 48.8
Children (6-9 Years) having severe anaemia - Female ................................................................ 1.2 0.0
Children (6-14 years) having anaemia - Male ............................................................................. 50.8 62.5
Children (6-14 years) having severe anaemia - Male .................................................................. 3.7 3.6
Children (6-14 years) having anaemia - Female ......................................................................... 48.3 50.0
Children (6-14 years) having severe anaemia - Female .............................................................. 4.3 6.1
Children (10-19 Years15) having anaemia - Male ......................................................................... 37.9 51.2
Children (10-19 Years15) having severe anaemia - Male ............................................................. 3.5 4.0
Children (10-19 Years15) having anaemia - Female ..................................................................... 46.6 52.1
Children (10-19 Years15) having severe anaemia - Female ......................................................... 6.4 6.5
Adolescents (15-19 years) having anaemia ................................................................................ 39.4 46.5
Adolescents (15-19 years) having severe anaemia ..................................................................... 5.4 5.1
Pregnant women (15-49 aged) having anaemia .......................................................................... 48.8 51.5
Pregnant women (15-49 aged) having severe anaemia .............................................................. 7.1 8.8
Women (15-49 aged) having anaemia ......................................................................................... 45.2 51.7
Women (15-49 aged) having severe anaemia ............................................................................. 4.8 5.9
Persons (20 years and above) having anaemia ........................................................................... 37.8 42.1
Persons (20 years and above) having Severe anaemia .............................................................. 4.6 4.8","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"","","","",""
"Blood Sugar Level (age 18 years and above) (%)","","","",""
"Blood Sugar Level >140 mg/dl (high) ........................................................................................... 12.9 11.1
Blood Sugar Level >160 mg/dl (very high) ................................................................................... 7.0 5.1","","","",""
"","","","",""
"Hypertension (age 18 years and above) (%)","","","",""
"Above Normal Range (Systolic >140 mm of Hg & Diastolic >90 mm of Hg ) .............................. 23.8 22.8
Moderately High (Systolic >160 mm of Hg & Diastolic >100 mm of Hg ) ..................................... 8.2 7.1
Very High (Systolic >180 mm of Hg & Diastolic >110 mm of Hg ) ............................................... 3.7 3.1","","","",""
"","","","",""
"","","","",""
"14 Any anaemia below 11g/dl, severe anaemia below 7g/dl. 15 Excluding age group 19 years","","","",""
"Chronic Illness :Any person with symptoms persisting for longer than one month is defined as suffering from chronic illness","","","",""
1 0 1 2 3 4
2 DLHS-4 (2012-13) DLHS-3 (2007-08)
3 Indicators TOTAL RURAL TOTAL RURAL
4 Reported Prevalence of Morbidity
5 Any Injury ..................................................................................................................................... 1.9 2.1 Acute Illness ................................................................................................................................. 4.5 5.6 Chronic Illness .............................................................................................................................. 5.1 4.1
6
7
8 Reported Prevalence of Chronic Illness during last one year (%)
9 Disease of respiratory system ...................................................................................................... 11.7 15.0 Disease of cardiovascular system ................................................................................................ 8.9 9.3 Persons suffering from tuberculosis ............................................................................................. 2.2 1.5
10
11
12 Anaemia Status by Haemoglobin Level14 (%)
13 Children (6-59 months) having anaemia ...................................................................................... 68.5 71.9 Children (6-59 months) having severe anaemia .......................................................................... 6.7 9.4 Children (6-9 Years) having anaemia - Male ................................................................................ 67.1 71.4 Children (6-9 Years) having severe anaemia - Male .................................................................... 4.4 2.4 Children (6-9 Years) having anaemia - Female ........................................................................... 52.4 48.8 Children (6-9 Years) having severe anaemia - Female ................................................................ 1.2 0.0 Children (6-14 years) having anaemia - Male ............................................................................. 50.8 62.5 Children (6-14 years) having severe anaemia - Male .................................................................. 3.7 3.6 Children (6-14 years) having anaemia - Female ......................................................................... 48.3 50.0 Children (6-14 years) having severe anaemia - Female .............................................................. 4.3 6.1 Children (10-19 Years15) having anaemia - Male ......................................................................... 37.9 51.2 Children (10-19 Years15) having severe anaemia - Male ............................................................. 3.5 4.0 Children (10-19 Years15) having anaemia - Female ..................................................................... 46.6 52.1 Children (10-19 Years15) having severe anaemia - Female ......................................................... 6.4 6.5 Adolescents (15-19 years) having anaemia ................................................................................ 39.4 46.5 Adolescents (15-19 years) having severe anaemia ..................................................................... 5.4 5.1 Pregnant women (15-49 aged) having anaemia .......................................................................... 48.8 51.5 Pregnant women (15-49 aged) having severe anaemia .............................................................. 7.1 8.8 Women (15-49 aged) having anaemia ......................................................................................... 45.2 51.7 Women (15-49 aged) having severe anaemia ............................................................................. 4.8 5.9 Persons (20 years and above) having anaemia ........................................................................... 37.8 42.1 Persons (20 years and above) having Severe anaemia .............................................................. 4.6 4.8
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35 Blood Sugar Level (age 18 years and above) (%)
36 Blood Sugar Level >140 mg/dl (high) ........................................................................................... 12.9 11.1 Blood Sugar Level >160 mg/dl (very high) ................................................................................... 7.0 5.1
37
38 Hypertension (age 18 years and above) (%)
39 Above Normal Range (Systolic >140 mm of Hg & Diastolic >90 mm of Hg ) .............................. 23.8 22.8 Moderately High (Systolic >160 mm of Hg & Diastolic >100 mm of Hg ) ..................................... 8.2 7.1 Very High (Systolic >180 mm of Hg & Diastolic >110 mm of Hg ) ............................................... 3.7 3.1
40
41
42 14 Any anaemia below 11g/dl, severe anaemia below 7g/dl. 15 Excluding age group 19 years
43 Chronic Illness :Any person with symptoms persisting for longer than one month is defined as suffering from chronic illness
+2 -2
View File
@@ -63,7 +63,7 @@ master_doc = 'index'
# General information about the project. # General information about the project.
project = u'Camelot' project = u'Camelot'
copyright = u'2018, <a href="https://socialcops.com" target="_blank">SocialCops</a>' copyright = u'2019, Camelot Developers'
author = u'Vinayak Mehta' author = u'Vinayak Mehta'
# The version info for the project you're documenting, acts as replacement for # The version info for the project you're documenting, acts as replacement for
@@ -137,7 +137,7 @@ html_theme = 'alabaster'
# documentation. # documentation.
html_theme_options = { html_theme_options = {
'show_powered_by': False, 'show_powered_by': False,
'github_user': 'socialcopsdev', 'github_user': 'camelot-dev',
'github_repo': 'camelot', 'github_repo': 'camelot',
'github_banner': True, 'github_banner': True,
'show_related': False, 'show_related': False,
+6 -6
View File
@@ -7,7 +7,7 @@ If you're reading this, you're probably looking to contributing to Camelot. *Tim
This document will help you get started with contributing documentation, code, testing and filing issues. If you have any questions, feel free to reach out to `Vinayak Mehta`_, the author and maintainer. This document will help you get started with contributing documentation, code, testing and filing issues. If you have any questions, feel free to reach out to `Vinayak Mehta`_, the author and maintainer.
.. _Vinayak Mehta: https://vinayak-mehta.github.io .. _Vinayak Mehta: https://www.vinayakmehta.com
Code Of Conduct Code Of Conduct
--------------- ---------------
@@ -29,15 +29,15 @@ Your first contribution
A great way to start contributing to Camelot is to pick an issue tagged with the `help wanted`_ or the `good first issue`_ tags. If you're unable to find a good first issue, feel free to contact the maintainer. A great way to start contributing to Camelot is to pick an issue tagged with the `help wanted`_ or the `good first issue`_ tags. If you're unable to find a good first issue, feel free to contact the maintainer.
.. _help wanted: https://github.com/socialcopsdev/camelot/labels/help%20wanted .. _help wanted: https://github.com/camelot-dev/camelot/labels/help%20wanted
.. _good first issue: https://github.com/socialcopsdev/camelot/labels/good%20first%20issue .. _good first issue: https://github.com/camelot-dev/camelot/labels/good%20first%20issue
Setting up a development environment Setting up a development environment
------------------------------------ ------------------------------------
To install the dependencies needed for development, you can use pip:: To install the dependencies needed for development, you can use pip::
$ pip install camelot-py[dev] $ pip install "camelot-py[dev]"
Alternatively, you can clone the project repository, and install using pip:: Alternatively, you can clone the project repository, and install using pip::
@@ -51,7 +51,7 @@ Submit a pull request
The preferred workflow for contributing to Camelot is to fork the `project repository`_ on GitHub, clone, develop on a branch and then finally submit a pull request. Here are the steps: The preferred workflow for contributing to Camelot is to fork the `project repository`_ on GitHub, clone, develop on a branch and then finally submit a pull request. Here are the steps:
.. _project repository: https://github.com/socialcopsdev/camelot .. _project repository: https://github.com/camelot-dev/camelot
1. Fork the project repository. Click on the Fork button near the top of the page. This creates a copy of the code under your account on the GitHub. 1. Fork the project repository. Click on the Fork button near the top of the page. This creates a copy of the code under your account on the GitHub.
@@ -134,7 +134,7 @@ Filing Issues
We use `GitHub issues`_ to keep track of all issues and pull requests. Before opening an issue (which asks a question or reports a bug), please use GitHub search to look for existing issues (both open and closed) that may be similar. We use `GitHub issues`_ to keep track of all issues and pull requests. Before opening an issue (which asks a question or reports a bug), please use GitHub search to look for existing issues (both open and closed) that may be similar.
.. _GitHub issues: https://github.com/socialcopsdev/camelot/issues .. _GitHub issues: https://github.com/camelot-dev/camelot/issues
Questions Questions
^^^^^^^^^ ^^^^^^^^^
+23 -6
View File
@@ -8,15 +8,15 @@ Camelot: PDF Table Extraction for Humans
Release v\ |version|. (:ref:`Installation <install>`) Release v\ |version|. (:ref:`Installation <install>`)
.. image:: https://travis-ci.org/socialcopsdev/camelot.svg?branch=master .. image:: https://travis-ci.org/camelot-dev/camelot.svg?branch=master
:target: https://travis-ci.org/socialcopsdev/camelot :target: https://travis-ci.org/camelot-dev/camelot
.. image:: https://readthedocs.org/projects/camelot-py/badge/?version=master .. image:: https://readthedocs.org/projects/camelot-py/badge/?version=master
:target: https://camelot-py.readthedocs.io/en/master/ :target: https://camelot-py.readthedocs.io/en/master/
:alt: Documentation Status :alt: Documentation Status
.. image:: https://codecov.io/github/socialcopsdev/camelot/badge.svg?branch=master&service=github .. image:: https://codecov.io/github/camelot-dev/camelot/badge.svg?branch=master&service=github
:target: https://codecov.io/github/socialcopsdev/camelot?branch=master :target: https://codecov.io/github/camelot-dev/camelot?branch=master
.. image:: https://img.shields.io/pypi/v/camelot-py.svg .. image:: https://img.shields.io/pypi/v/camelot-py.svg
:target: https://pypi.org/project/camelot-py/ :target: https://pypi.org/project/camelot-py/
@@ -27,6 +27,15 @@ Release v\ |version|. (:ref:`Installation <install>`)
.. image:: https://img.shields.io/pypi/pyversions/camelot-py.svg .. image:: https://img.shields.io/pypi/pyversions/camelot-py.svg
:target: https://pypi.org/project/camelot-py/ :target: https://pypi.org/project/camelot-py/
.. image:: https://badges.gitter.im/camelot-dev/Lobby.png
:target: https://gitter.im/camelot-dev/Lobby
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/ambv/black
.. image:: https://img.shields.io/badge/continous%20quality-deepsource-lightgrey
:target: https://deepsource.io/gh/camelot-dev/camelot/?ref=repository-badge
**Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files! **Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files!
.. note:: You can also check out `Excalibur`_, which is a web interface for Camelot! .. note:: You can also check out `Excalibur`_, which is a web interface for Camelot!
@@ -78,7 +87,14 @@ Why Camelot?
See `comparison with other PDF table extraction libraries and tools`_. See `comparison with other PDF table extraction libraries and tools`_.
.. _ETL and data analysis workflows: https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873 .. _ETL and data analysis workflows: https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873
.. _comparison with other PDF table extraction libraries and tools: https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools .. _comparison with other PDF table extraction libraries and tools: https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools
Support us on OpenCollective
----------------------------
If Camelot helped you extract tables from PDFs, please consider supporting its development by `becoming a backer or a sponsor on OpenCollective`_!
.. _becoming a backer or a sponsor on OpenCollective: https://opencollective.com/camelot
The User Guide The User Guide
-------------- --------------
@@ -89,6 +105,7 @@ This part of the documentation begins with some background information about why
:maxdepth: 2 :maxdepth: 2
user/intro user/intro
user/install-deps
user/install user/install
user/how-it-works user/how-it-works
user/quickstart user/quickstart
@@ -115,4 +132,4 @@ you.
.. toctree:: .. toctree::
:maxdepth: 2 :maxdepth: 2
dev/contributing dev/contributing
+265 -49
View File
@@ -24,25 +24,34 @@ To process background lines, you can pass ``process_background=True``.
>>> tables = camelot.read_pdf('background_lines.pdf', process_background=True) >>> tables = camelot.read_pdf('background_lines.pdf', process_background=True)
>>> tables[1].df >>> tables[1].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -back background_lines.pdf
.. csv-table:: .. csv-table::
:file: ../_static/csv/background_lines.csv :file: ../_static/csv/background_lines.csv
Plot geometry Visual debugging
------------- ----------------
You can use a :class:`table <camelot.core.Table>` object's :meth:`plot() <camelot.core.TableList.plot>` method to plot various geometries that were detected by Camelot while processing the PDF page. This can help you select table areas, column separators and debug bad table outputs, by tweaking different configuration parameters. .. note:: Visual debugging using ``plot()`` requires `matplotlib <https://matplotlib.org/>`_ which is an optional dependency. You can install it using ``$ pip install camelot-py[plot]``.
The following geometries are available for plotting. You can pass them to the :meth:`plot() <camelot.core.TableList.plot>` method, which will then generate a `matplotlib <https://matplotlib.org/>`_ plot for the passed geometry. You can use the :class:`plot() <camelot.plotting.PlotMethods>` method to generate a `matplotlib <https://matplotlib.org/>`_ plot of various elements that were detected on the PDF page while processing it. This can help you select table areas, column separators and debug bad table outputs, by tweaking different configuration parameters.
You can specify the type of element you want to plot using the ``kind`` keyword argument. The generated plot can be saved to a file by passing a ``filename`` keyword argument. The following plot types are supported:
- 'text' - 'text'
- 'table' - 'grid'
- 'contour' - 'contour'
- 'line' - 'line'
- 'joint' - 'joint'
- 'textedge'
.. note:: The last three geometries can only be used with :ref:`Lattice <lattice>`, i.e. when ``flavor='lattice'``. .. note:: 'line' and 'joint' can only be used with :ref:`Lattice <lattice>` and 'textedge' can only be used with :ref:`Stream <stream>`.
Let's generate a plot for each geometry using this `PDF <../_static/pdf/foo.pdf>`__ as an example. First, let's get all the tables out. Let's generate a plot for each type using this `PDF <../_static/pdf/foo.pdf>`__ as an example. First, let's get all the tables out.
:: ::
@@ -50,8 +59,6 @@ Let's generate a plot for each geometry using this `PDF <../_static/pdf/foo.pdf>
>>> tables >>> tables
<TableList n=1> <TableList n=1>
.. _geometry_text:
text text
^^^^ ^^^^
@@ -59,9 +66,16 @@ Let's plot all the text present on the table's PDF page.
:: ::
>>> tables[0].plot('text') >>> camelot.plot(tables[0], kind='text')
>>> plt.show()
.. figure:: ../_static/png/geometry_text.png .. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -plot text foo.pdf
.. figure:: ../_static/png/plot_text.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
@@ -72,18 +86,23 @@ This, as we shall later see, is very helpful with :ref:`Stream <stream>` for not
.. note:: The *x-y* coordinates shown above change as you move your mouse cursor on the image, which can help you note coordinates. .. note:: The *x-y* coordinates shown above change as you move your mouse cursor on the image, which can help you note coordinates.
.. _geometry_table:
table table
^^^^^ ^^^^^
Let's plot the table (to see if it was detected correctly or not). This geometry type, along with contour, line and joint is useful for debugging and improving the extraction output, in case the table wasn't detected correctly. (More on that later.) Let's plot the table (to see if it was detected correctly or not). This plot type, along with contour, line and joint is useful for debugging and improving the extraction output, in case the table wasn't detected correctly. (More on that later.)
:: ::
>>> tables[0].plot('table') >>> camelot.plot(tables[0], kind='grid')
>>> plt.show()
.. figure:: ../_static/png/geometry_table.png .. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -plot grid foo.pdf
.. figure:: ../_static/png/plot_table.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
@@ -92,8 +111,6 @@ Let's plot the table (to see if it was detected correctly or not). This geometry
The table is perfect! The table is perfect!
.. _geometry_contour:
contour contour
^^^^^^^ ^^^^^^^
@@ -101,17 +118,22 @@ Now, let's plot all table boundaries present on the table's PDF page.
:: ::
>>> tables[0].plot('contour') >>> camelot.plot(tables[0], kind='contour')
>>> plt.show()
.. figure:: ../_static/png/geometry_contour.png .. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -plot contour foo.pdf
.. figure:: ../_static/png/plot_contour.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
:alt: A plot of all contours on a PDF page :alt: A plot of all contours on a PDF page
:align: left :align: left
.. _geometry_line:
line line
^^^^ ^^^^
@@ -119,17 +141,22 @@ Cool, let's plot all line segments present on the table's PDF page.
:: ::
>>> tables[0].plot('line') >>> camelot.plot(tables[0], kind='line')
>>> plt.show()
.. figure:: ../_static/png/geometry_line.png .. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -plot line foo.pdf
.. figure:: ../_static/png/plot_line.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
:alt: A plot of all lines on a PDF page :alt: A plot of all lines on a PDF page
:align: left :align: left
.. _geometry_joint:
joint joint
^^^^^ ^^^^^
@@ -137,50 +164,113 @@ Finally, let's plot all line intersections present on the table's PDF page.
:: ::
>>> tables[0].plot('joint') >>> camelot.plot(tables[0], kind='joint')
>>> plt.show()
.. figure:: ../_static/png/geometry_joint.png .. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -plot joint foo.pdf
.. figure:: ../_static/png/plot_joint.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
:alt: A plot of all line intersections on a PDF page :alt: A plot of all line intersections on a PDF page
:align: left :align: left
textedge
^^^^^^^^
You can also visualize the textedges found on a page by specifying ``kind='textedge'``. To know more about what a "textedge" is, you can see pages 20, 35 and 40 of `Anssi Nurminen's master's thesis <http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3>`_.
::
>>> camelot.plot(tables[0], kind='textedge')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot stream -plot textedge foo.pdf
.. figure:: ../_static/png/plot_textedge.png
:height: 674
:width: 1366
:scale: 50%
:alt: A plot of relevant textedges on a PDF page
:align: left
Specify table areas Specify table areas
------------------- -------------------
Since :ref:`Stream <stream>` treats the whole page as a table, `for now`_, it's useful to specify table boundaries in cases such as `these <../_static/pdf/table_areas.pdf>`__. You can :ref:`plot the text <geometry_text>` on this page and note the top left and bottom right coordinates of the table. In cases such as `these <../_static/pdf/table_areas.pdf>`__, it can be useful to specify exact table boundaries. You can plot the text on this page and note the top left and bottom right coordinates of the table.
Table areas that you want Camelot to analyze can be passed as a list of comma-separated strings to :meth:`read_pdf() <camelot.read_pdf>`, using the ``table_areas`` keyword argument. Table areas that you want Camelot to analyze can be passed as a list of comma-separated strings to :meth:`read_pdf() <camelot.read_pdf>`, using the ``table_areas`` keyword argument.
.. _for now: https://github.com/socialcopsdev/camelot/issues/102
:: ::
>>> tables = camelot.read_pdf('table_areas.pdf', flavor='stream', table_areas=['316,499,566,337']) >>> tables = camelot.read_pdf('table_areas.pdf', flavor='stream', table_areas=['316,499,566,337'])
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot stream -T 316,499,566,337 table_areas.pdf
.. csv-table:: .. csv-table::
:file: ../_static/csv/table_areas.csv :file: ../_static/csv/table_areas.csv
.. note:: ``table_areas`` accepts strings of the form x1,y1,x2,y2 where (x1, y1) -> top-left and (x2, y2) -> bottom-right in PDF coordinate space. In PDF coordinate space, the bottom-left corner of the page is the origin, with coordinates (0, 0).
Specify table regions
---------------------
However there may be cases like `[1] <../_static/pdf/table_regions.pdf>`__ and `[2] <https://github.com/camelot-dev/camelot/blob/master/tests/files/tableception.pdf>`__, where the table might not lie at the exact coordinates every time but in an approximate region.
You can use the ``table_regions`` keyword argument to :meth:`read_pdf() <camelot.read_pdf>` to solve for such cases. When ``table_regions`` is specified, Camelot will only analyze the specified regions to look for tables.
::
>>> tables = camelot.read_pdf('table_regions.pdf', table_regions=['170,370,560,270'])
>>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -R 170,370,560,270 table_regions.pdf
.. csv-table::
:file: ../_static/csv/table_regions.csv
Specify column separators Specify column separators
------------------------- -------------------------
In cases like `these <../_static/pdf/column_separators.pdf>`__, where the text is very close to each other, it is possible that Camelot may guess the column separators' coordinates incorrectly. To correct this, you can explicitly specify the *x* coordinate for each column separator by :ref:`plotting the text <geometry_text>` on the page. In cases like `these <../_static/pdf/column_separators.pdf>`__, where the text is very close to each other, it is possible that Camelot may guess the column separators' coordinates incorrectly. To correct this, you can explicitly specify the *x* coordinate for each column separator by plotting the text on the page.
You can pass the column separators as a list of comma-separated strings to :meth:`read_pdf() <camelot.read_pdf>`, using the ``columns`` keyword argument. You can pass the column separators as a list of comma-separated strings to :meth:`read_pdf() <camelot.read_pdf>`, using the ``columns`` keyword argument.
In case you passed a single column separators string list, and no table area is specified, the separators will be applied to the whole page. When a list of table areas is specified and you need to specify column separators as well, **the length of both lists should be equal**. Each table area will be mapped to each column separators' string using their indices. In case you passed a single column separators string list, and no table area is specified, the separators will be applied to the whole page. When a list of table areas is specified and you need to specify column separators as well, **the length of both lists should be equal**. Each table area will be mapped to each column separators' string using their indices.
For example, if you have specified two table areas, ``table_areas=['12,23,43,54', '20,33,55,67']``, and only want to specify column separators for the first table, you can pass an empty string for the second table in the column separators' list like this, ``columns=['10,120,200,400', '']``. For example, if you have specified two table areas, ``table_areas=['12,54,43,23', '20,67,55,33']``, and only want to specify column separators for the first table, you can pass an empty string for the second table in the column separators' list like this, ``columns=['10,120,200,400', '']``.
Let's get back to the *x* coordinates we got from :ref:`plotting text <geometry_text>` that exists on this `PDF <../_static/pdf/column_separators.pdf>`__, and get the table out! Let's get back to the *x* coordinates we got from plotting the text that exists on this `PDF <../_static/pdf/column_separators.pdf>`__, and get the table out!
:: ::
>>> tables = camelot.read_pdf('column_separators.pdf', flavor='stream', columns=['72,95,209,327,442,529,566,606,683']) >>> tables = camelot.read_pdf('column_separators.pdf', flavor='stream', columns=['72,95,209,327,442,529,566,606,683'])
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot stream -C 72,95,209,327,442,529,566,606,683 column_separators.pdf
.. csv-table:: .. csv-table::
"...","...","...","...","...","...","...","...","...","..." "...","...","...","...","...","...","...","...","...","..."
@@ -200,6 +290,12 @@ To deal with cases like the output from the previous section, you can pass ``spl
>>> tables = camelot.read_pdf('column_separators.pdf', flavor='stream', columns=['72,95,209,327,442,529,566,606,683'], split_text=True) >>> tables = camelot.read_pdf('column_separators.pdf', flavor='stream', columns=['72,95,209,327,442,529,566,606,683'], split_text=True)
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot -split stream -C 72,95,209,327,442,529,566,606,683 column_separators.pdf
.. csv-table:: .. csv-table::
"...","...","...","...","...","...","...","...","...","..." "...","...","...","...","...","...","...","...","...","..."
@@ -220,13 +316,19 @@ In this case, the text that `other tools`_ return, will be ``24.912``. This is r
You can solve this by passing ``flag_size=True``, which will enclose the superscripts and subscripts with ``<s></s>``, based on font size, as shown below. You can solve this by passing ``flag_size=True``, which will enclose the superscripts and subscripts with ``<s></s>``, based on font size, as shown below.
.. _other tools: https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools .. _other tools: https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools
:: ::
>>> tables = camelot.read_pdf('superscript.pdf', flavor='stream', flag_size=True) >>> tables = camelot.read_pdf('superscript.pdf', flavor='stream', flag_size=True)
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot -flag stream superscript.pdf
.. csv-table:: .. csv-table::
"...","...","...","...","...","...","...","...","...","...","..." "...","...","...","...","...","...","...","...","...","...","..."
@@ -235,10 +337,87 @@ You can solve this by passing ``flag_size=True``, which will enclose the supersc
"Madhya Pradesh","27.13","23.57","-","-","3.56","0.38","-","1.86","-","1.28" "Madhya Pradesh","27.13","23.57","-","-","3.56","0.38","-","1.86","-","1.28"
"...","...","...","...","...","...","...","...","...","...","..." "...","...","...","...","...","...","...","...","...","...","..."
Control how text is grouped into rows Strip characters from text
------------------------------------- --------------------------
You can pass ``row_close_tol=<+int>`` to group the rows closer together, as shown below. You can strip unwanted characters like spaces, dots and newlines from a string using the ``strip_text`` keyword argument. Take a look at `this PDF <https://github.com/camelot-dev/camelot/blob/master/tests/files/tabula/12s0324.pdf>`_ as an example, the text at the start of each row contains a lot of unwanted spaces, dots and newlines.
::
>>> tables = camelot.read_pdf('12s0324.pdf', flavor='stream', strip_text=' .\n')
>>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot -strip ' .\n' stream 12s0324.pdf
.. csv-table::
"...","...","...","...","...","...","...","...","...","..."
"Forcible rape","17.5","2.6","14.9","17.2","2.5","14.7","","",""
"Robbery","102.1","25.5","76.6","90.0","22.9","67.1","12.1","2.5","9.5"
"Aggravated assault","338.4","40.1","298.3","264.0","30.2","233.8","74.4","9.9","64.5"
"Property crime","1,396 .4","338 .7","1,057 .7","875 .9","210 .8","665 .1","608 .2","127 .9","392 .6"
"Burglary","240.9","60.3","180.6","205.0","53.4","151.7","35.9","6.9","29.0"
"...","...","...","...","...","...","...","...","...","..."
Improve guessed table areas
---------------------------
While using :ref:`Stream <stream>`, automatic table detection can fail for PDFs like `this one <https://github.com/camelot-dev/camelot/blob/master/tests/files/edge_tol.pdf>`_. That's because the text is relatively far apart vertically, which can lead to shorter textedges being calculated.
.. note:: To know more about how textedges are calculated to guess table areas, you can see pages 20, 35 and 40 of `Anssi Nurminen's master's thesis <http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3>`_.
Let's see the table area that is detected by default.
::
>>> tables = camelot.read_pdf('edge_tol.pdf', flavor='stream')
>>> camelot.plot(tables[0], kind='contour')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot stream -plot contour edge.pdf
.. figure:: ../_static/png/edge_tol_1.png
:height: 674
:width: 1366
:scale: 50%
:alt: Table area with default edge_tol
:align: left
To improve the detected area, you can increase the ``edge_tol`` (default: 50) value to counter the effect of text being placed relatively far apart vertically. Larger ``edge_tol`` will lead to longer textedges being detected, leading to an improved guess of the table area. Let's use a value of 500.
::
>>> tables = camelot.read_pdf('edge_tol.pdf', flavor='stream', edge_tol=500)
>>> camelot.plot(tables[0], kind='contour')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot stream -e 500 -plot contour edge.pdf
.. figure:: ../_static/png/edge_tol_2.png
:height: 674
:width: 1366
:scale: 50%
:alt: Table area with default edge_tol
:align: left
As you can see, the guessed table area has improved!
Improve guessed table rows
--------------------------
You can pass ``row_tol=<+int>`` to group the rows closer together, as shown below.
:: ::
@@ -256,9 +435,15 @@ You can pass ``row_close_tol=<+int>`` to group the rows closer together, as show
:: ::
>>> tables = camelot.read_pdf('group_rows.pdf', flavor='stream', row_close_tol=10) >>> tables = camelot.read_pdf('group_rows.pdf', flavor='stream', row_tol=10)
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot stream -r 10 group_rows.pdf
.. csv-table:: .. csv-table::
"Clave","Nombre Entidad","Clave","","Nombre Municipio","Clave","Nombre Localidad" "Clave","Nombre Entidad","Clave","","Nombre Municipio","Clave","Nombre Localidad"
@@ -270,11 +455,11 @@ You can pass ``row_close_tol=<+int>`` to group the rows closer together, as show
Detect short lines Detect short lines
------------------ ------------------
There might be cases while using :ref:`Lattice <lattice>` when smaller lines don't get detected. The size of the smallest line that gets detected is calculated by dividing the PDF page's dimensions with a scaling factor called ``line_size_scaling``. By default, its value is 15. There might be cases while using :ref:`Lattice <lattice>` when smaller lines don't get detected. The size of the smallest line that gets detected is calculated by dividing the PDF page's dimensions with a scaling factor called ``line_scale``. By default, its value is 15.
As you can guess, the larger the ``line_size_scaling``, the smaller the size of lines getting detected. As you can guess, the larger the ``line_scale``, the smaller the size of lines getting detected.
.. warning:: Making ``line_size_scaling`` very large (>150) will lead to text getting detected as lines. .. warning:: Making ``line_scale`` very large (>150) will lead to text getting detected as lines.
Here's a `PDF <../_static/pdf/short_lines.pdf>`__ where small lines separating the the headers don't get detected with the default value of 15. Here's a `PDF <../_static/pdf/short_lines.pdf>`__ where small lines separating the the headers don't get detected with the default value of 15.
@@ -282,23 +467,31 @@ Here's a `PDF <../_static/pdf/short_lines.pdf>`__ where small lines separating t
:alt: A PDF table with short lines :alt: A PDF table with short lines
:align: left :align: left
Let's :ref:`plot the table <geometry_table>` for this PDF. Let's plot the table for this PDF.
:: ::
>>> tables = camelot.read_pdf('short_lines.pdf') >>> tables = camelot.read_pdf('short_lines.pdf')
>>> tables[0].plot('table') >>> camelot.plot(tables[0], kind='grid')
>>> plt.show()
.. figure:: ../_static/png/short_lines_1.png .. figure:: ../_static/png/short_lines_1.png
:alt: A plot of the PDF table with short lines :alt: A plot of the PDF table with short lines
:align: left :align: left
Clearly, the smaller lines separating the headers, couldn't be detected. Let's try with ``line_size_scaling=40``, and `plot the table <geometry_table>`_ again. Clearly, the smaller lines separating the headers, couldn't be detected. Let's try with ``line_scale=40``, and plot the table again.
:: ::
>>> tables = camelot.read_pdf('short_lines.pdf', line_size_scaling=40) >>> tables = camelot.read_pdf('short_lines.pdf', line_scale=40)
>>> tables[0].plot('table') >>> camelot.plot(tables[0], kind='grid')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -scale 40 -plot grid short_lines.pdf
.. figure:: ../_static/png/short_lines_2.png .. figure:: ../_static/png/short_lines_2.png
:alt: An improved plot of the PDF table with short lines :alt: An improved plot of the PDF table with short lines
@@ -339,7 +532,7 @@ We'll use the `PDF <../_static/pdf/short_lines.pdf>`__ from the previous example
:: ::
>>> tables = camelot.read_pdf('short_lines.pdf', line_size_scaling=40, shift_text=['']) >>> tables = camelot.read_pdf('short_lines.pdf', line_scale=40, shift_text=[''])
>>> tables[0].df >>> tables[0].df
.. csv-table:: .. csv-table::
@@ -360,9 +553,15 @@ No surprises there — it did remain in place (observe the strings "2400" and "A
:: ::
>>> tables = camelot.read_pdf('short_lines.pdf', line_size_scaling=40, shift_text=['r', 'b']) >>> tables = camelot.read_pdf('short_lines.pdf', line_scale=40, shift_text=['r', 'b'])
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -scale 40 -shift r -shift b short_lines.pdf
.. csv-table:: .. csv-table::
"Investigations","No. ofHHs","Age/Sex/Physiological Group","Preva-lence","C.I*","RelativePrecision","Sample sizeper State" "Investigations","No. ofHHs","Age/Sex/Physiological Group","Preva-lence","C.I*","RelativePrecision","Sample sizeper State"
@@ -408,6 +607,12 @@ We don't need anything else. Now, let's pass ``copy_text=['v']`` to copy text in
>>> tables = camelot.read_pdf('copy_text.pdf', copy_text=['v']) >>> tables = camelot.read_pdf('copy_text.pdf', copy_text=['v'])
>>> tables[0].df >>> tables[0].df
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot lattice -copy v copy_text.pdf
.. csv-table:: .. csv-table::
"Sl. No.","Name of State/UT","Name of District","Disease/ Illness","No. of Cases","No. of Deaths","Date of start of outbreak","Date of reporting","Current Status","..." "Sl. No.","Name of State/UT","Name of District","Disease/ Illness","No. of Cases","No. of Deaths","Date of start of outbreak","Date of reporting","Current Status","..."
@@ -417,3 +622,14 @@ We don't need anything else. Now, let's pass ``copy_text=['v']`` to copy text in
"4","West Bengal","West Medinipur","iv. Acute Diarrhoeal Disease","145","0","04/01/14","05/01/14","Under control","..." "4","West Bengal","West Medinipur","iv. Acute Diarrhoeal Disease","145","0","04/01/14","05/01/14","Under control","..."
"4","West Bengal","Birbhum","v. Food Poisoning","199","0","31/12/13","31/12/13","Under control","..." "4","West Bengal","Birbhum","v. Food Poisoning","199","0","31/12/13","31/12/13","Under control","..."
"4","West Bengal","Howrah","vi. Viral Hepatitis A &E","85","0","26/12/13","27/12/13","Under surveillance","..." "4","West Bengal","Howrah","vi. Viral Hepatitis A &E","85","0","26/12/13","27/12/13","Under surveillance","..."
Tweak layout generation
-----------------------
Camelot is built on top of PDFMiner's functionality of grouping characters on a page into words and sentences. In some cases (such as `#170 <https://github.com/camelot-dev/camelot/issues/170>`_ and `#215 <https://github.com/camelot-dev/camelot/issues/215>`_), PDFMiner can group characters that should belong to the same sentence into separate sentences.
To deal with such cases, you can tweak PDFMiner's `LAParams kwargs <https://github.com/euske/pdfminer/blob/master/pdfminer/layout.py#L33>`_ to improve layout generation, by passing the keyword arguments as a dict using ``layout_kwargs`` in :meth:`read_pdf() <camelot.read_pdf>`. To know more about the parameters you can tweak, you can check out `PDFMiner docs <https://euske.github.io/pdfminer/>`_.
::
>>> tables = camelot.read_pdf('foo.pdf', layout_kwargs={'detect_vertical': False})
+24 -22
View File
@@ -9,28 +9,30 @@ You can print the help for the interface by typing ``camelot --help`` in your fa
:: ::
Usage: camelot [OPTIONS] COMMAND [ARGS]... Usage: camelot [OPTIONS] COMMAND [ARGS]...
Camelot: PDF Table Extraction for Humans Camelot: PDF Table Extraction for Humans
Options: Options:
--version Show the version and exit. --version Show the version and exit.
-p, --pages TEXT Comma-separated page numbers. Example: 1,3,4 -q, --quiet TEXT Suppress logs and warnings.
or 1,4-end. -p, --pages TEXT Comma-separated page numbers. Example: 1,3,4
-pw, --password TEXT Password for decryption. or 1,4-end.
-o, --output TEXT Output file path. -pw, --password TEXT Password for decryption.
-f, --format [csv|json|excel|html] -o, --output TEXT Output file path.
Output file format. -f, --format [csv|json|excel|html]
-z, --zip Create ZIP archive. Output file format.
-split, --split_text Split text that spans across multiple cells. -z, --zip Create ZIP archive.
-flag, --flag_size Flag text based on font size. Useful to -split, --split_text Split text that spans across multiple cells.
detect super/subscripts. -flag, --flag_size Flag text based on font size. Useful to
-M, --margins <FLOAT FLOAT FLOAT>... detect super/subscripts.
PDFMiner char_margin, line_margin and -strip, --strip_text Characters that should be stripped from a
word_margin. string before assigning it to a cell.
-q, --quiet Suppress warnings. -M, --margins <FLOAT FLOAT FLOAT>...
--help Show this message and exit. PDFMiner char_margin, line_margin and
word_margin.
--help Show this message and exit.
Commands: Commands:
lattice Use lines between text to parse the table. lattice Use lines between text to parse the table.
stream Use spaces between text to parse the table. stream Use spaces between text to parse the table.
+13 -13
View File
@@ -5,24 +5,24 @@ How It Works
This part of the documentation includes a high-level explanation of how Camelot extracts tables from PDF files. This part of the documentation includes a high-level explanation of how Camelot extracts tables from PDF files.
You can choose between two table parsing methods, *Stream* and *Lattice*. These names for parsing methods inside Camelot were inspired from `Tabula`_. You can choose between two table parsing methods, *Stream* and *Lattice*. These names for parsing methods inside Camelot were inspired from `Tabula <https://github.com/tabulapdf/tabula>`_.
.. _Tabula: https://github.com/tabulapdf/tabula
.. _stream: .. _stream:
Stream Stream
------ ------
Stream can be used to parse tables that have whitespaces between cells to simulate a table structure. It looks for these spaces between text to form a table representation. Stream can be used to parse tables that have whitespaces between cells to simulate a table structure. It is built on top of PDFMiner's functionality of grouping characters on a page into words and sentences, using `margins <https://euske.github.io/pdfminer/#tools>`_.
It is built on top of PDFMiner's functionality of grouping characters on a page into words and sentences, using `margins`_. After getting the words on a page, it groups them into rows based on their *y* coordinates. It then tries to guess the number of columns the table might have by calculating the mode of the number of words in each row. This mode is used to calculate *x* ranges for the table's columns. It then adds columns to this column range list based on any words that may lie outside or inside the current column *x* ranges. 1. Words on the PDF page are grouped into text rows based on their *y* axis overlaps.
.. _margins: https://euske.github.io/pdfminer/#tools 2. Textedges are calculated and then used to guess interesting table areas on the PDF page. You can read `Anssi Nurminen's master's thesis <http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3>`_ to know more about this table detection technique. [See pages 20, 35 and 40]
.. note:: By default, Stream treats the whole PDF page as a table, which isn't ideal when there are more than two tables on a page with different number of columns. Automatic table detection for Stream is `in the works`_. 3. The number of columns inside each table area are then guessed. This is done by calculating the mode of number of words in each text row. Based on this mode, words in each text row are chosen to calculate a list of column *x* ranges.
.. _in the works: https://github.com/socialcopsdev/camelot/issues/102 4. Words that lie inside/outside the current column *x* ranges are then used to extend the current list of columns.
5. Finally, a table is formed using the text rows' *y* ranges and column *x* ranges and words found on the page are assigned to the table's cells based on their *x* and *y* coordinates.
.. _lattice: .. _lattice:
@@ -39,7 +39,7 @@ Let's see how Lattice processes the second page of `this PDF`_, step-by-step.
1. Line segments are detected. 1. Line segments are detected.
.. image:: ../_static/png/geometry_line.png .. image:: ../_static/png/plot_line.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
@@ -49,7 +49,7 @@ Let's see how Lattice processes the second page of `this PDF`_, step-by-step.
.. _and: https://en.wikipedia.org/wiki/Logical_conjunction .. _and: https://en.wikipedia.org/wiki/Logical_conjunction
.. image:: ../_static/png/geometry_joint.png .. image:: ../_static/png/plot_joint.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
@@ -59,7 +59,7 @@ Let's see how Lattice processes the second page of `this PDF`_, step-by-step.
.. _or: https://en.wikipedia.org/wiki/Logical_disjunction .. _or: https://en.wikipedia.org/wiki/Logical_disjunction
.. image:: ../_static/png/geometry_contour.png .. image:: ../_static/png/plot_contour.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
@@ -75,10 +75,10 @@ Let's see how Lattice processes the second page of `this PDF`_, step-by-step.
5. Spanning cells are detected using the line segments and line intersections. 5. Spanning cells are detected using the line segments and line intersections.
.. image:: ../_static/png/geometry_table.png .. image:: ../_static/png/plot_table.png
:height: 674 :height: 674
:width: 1366 :width: 1366
:scale: 50% :scale: 50%
:align: left :align: left
6. Finally, the words found on the page are assigned to the table's cells based on their *x* and *y* coordinates. 6. Finally, the words found on the page are assigned to the table's cells based on their *x* and *y* coordinates.
+74
View File
@@ -0,0 +1,74 @@
.. _install_deps:
Installation of dependencies
============================
The dependencies `Tkinter`_ and `ghostscript`_ can be installed using your system's package manager. You can run one of the following, based on your OS.
.. _Tkinter: https://wiki.python.org/moin/TkInter
.. _ghostscript: https://www.ghostscript.com
OS-specific instructions
------------------------
For Ubuntu
^^^^^^^^^^
::
$ apt install python-tk ghostscript
Or for Python 3::
$ apt install python3-tk ghostscript
For macOS
^^^^^^^^^
::
$ brew install tcl-tk ghostscript
For Windows
^^^^^^^^^^^
For Tkinter, you can download the `ActiveTcl Community Edition`_ from ActiveState. For ghostscript, you can get the installer at the `ghostscript downloads page`_.
.. _ActiveTcl Community Edition: https://www.activestate.com/activetcl/downloads
.. _ghostscript downloads page: https://www.ghostscript.com/download/gsdnld.html
.. _as shown here: https://java.com/en/download/help/path.xml
Checks to see if dependencies were installed correctly
------------------------------------------------------
You can do the following checks to see if the dependencies were installed correctly.
For Tkinter
^^^^^^^^^^^
Launch Python, and then at the prompt, type::
>>> import Tkinter
Or in Python 3::
>>> import tkinter
If you have Tkinter, Python will not print an error message, and if not, you will see an ``ImportError``.
For ghostscript
^^^^^^^^^^^^^^^
Run the following to check the ghostscript version.
For Ubuntu/macOS::
$ gs -version
For Windows::
C:\> gswin64c.exe -version
Or for Windows 32-bit::
C:\> gswin32c.exe -version
If you have ghostscript, you should see the ghostscript version and copyright information.
+11 -85
View File
@@ -3,22 +3,17 @@
Installation of Camelot Installation of Camelot
======================= =======================
This part of the documentation covers how to install Camelot. This part of the documentation covers the steps to install Camelot.
Using conda Using conda
----------- -----------
The easiest way to install Camelot is to install it with `conda`_, which is the package manager that the `Anaconda`_ distribution is built upon. The easiest way to install Camelot is to install it with `conda`_, which is a package manager and environment management system for the `Anaconda`_ distribution.
::
First, let's add the `conda-forge`_ channel to conda's config:: $ conda install -c conda-forge camelot-py
$ conda config --add channels conda-forge .. note:: Camelot is available for Python 2.7, 3.5, 3.6 and 3.7 on Linux, macOS and Windows. For Windows, you will need to install ghostscript which you can get from their `downloads page`_.
Now, you can simply use conda to install Camelot::
$ conda install -c camelot-dev camelot-py
.. note:: Camelot is available for Python 2.7, 3.5 and 3.6 on Linux, macOS and Windows. For Windows, you will need to install ghostscript which you can get from their `downloads page`_.
.. _conda: https://conda.io/docs/ .. _conda: https://conda.io/docs/
.. _Anaconda: http://docs.continuum.io/anaconda/ .. _Anaconda: http://docs.continuum.io/anaconda/
@@ -28,94 +23,25 @@ Now, you can simply use conda to install Camelot::
Using pip Using pip
--------- ---------
First, you'll need to install the dependencies, which include `Tkinter`_ and `ghostscript`_. After :ref:`installing the dependencies <install_deps>`, which include `Tkinter`_ and `ghostscript`_, you can simply use pip to install Camelot::
$ pip install "camelot-py[cv]"
.. _Tkinter: https://wiki.python.org/moin/TkInter .. _Tkinter: https://wiki.python.org/moin/TkInter
.. _ghostscript: https://www.ghostscript.com .. _ghostscript: https://www.ghostscript.com
These can be installed using your system's package manager. You can run one of the following, based on your OS.
For Ubuntu
^^^^^^^^^^
::
$ apt install python-tk ghostscript
Or for Python 3::
$ apt install python3-tk ghostscript
For macOS
^^^^^^^^^
::
$ brew install tcl-tk ghostscript
For Windows
^^^^^^^^^^^
For Tkinter, you can download the `ActiveTcl Community Edition`_ from ActiveState. For ghostscript, you can get the installer at the `ghostscript downloads page`_.
After installing ghostscript, you'll need to reboot your system to make sure that the ghostscript executable's path is in the windows PATH environment variable. In case you don't want to reboot, you can manually add the ghostscript executable's path to the PATH variable, `as shown here`_.
.. _ActiveTcl Community Edition: https://www.activestate.com/activetcl/downloads
.. _ghostscript downloads page: https://www.ghostscript.com/download/gsdnld.html
.. _as shown here: https://java.com/en/download/help/path.xml
----
You can do the following checks to see if the dependencies were installed correctly.
For Tkinter
^^^^^^^^^^^
Launch Python, and then at the prompt, type::
>>> import Tkinter
Or in Python 3::
>>> import tkinter
If you have Tkinter, Python will not print an error message, and if not, you will see an ``ImportError``.
For ghostscript
^^^^^^^^^^^^^^^
Run the following to check the ghostscript version.
For Ubuntu/macOS::
$ gs -version
For Windows::
C:\> gswin64c.exe -version
Or for Windows 32-bit::
C:\> gswin32c.exe -version
If you have ghostscript, you should see the ghostscript version and copyright information.
Finally, you can use pip to install Camelot::
$ pip install camelot-py[all]
From the source code From the source code
-------------------- --------------------
After `installing the dependencies`_, you can install from the source by: After :ref:`installing the dependencies <install_deps>`, you can install from the source by:
1. Cloning the GitHub repository. 1. Cloning the GitHub repository.
:: ::
$ git clone https://www.github.com/socialcopsdev/camelot $ git clone https://www.github.com/camelot-dev/camelot
2. Then simply using pip again. 2. Then simply using pip again.
:: ::
$ cd camelot $ cd camelot
$ pip install ".[all]" $ pip install ".[cv]"
.. _installing the dependencies: https://camelot-py.readthedocs.io/en/master/user/install.html#using-pip
+1 -1
View File
@@ -27,7 +27,7 @@ Here is a `comparison`_ of Camelot's output with outputs from other open-source
.. _pdf-table-extract: https://github.com/ashima/pdf-table-extract .. _pdf-table-extract: https://github.com/ashima/pdf-table-extract
.. _PDFTables: https://pdftables.com/ .. _PDFTables: https://pdftables.com/
.. _Smallpdf: https://smallpdf.com .. _Smallpdf: https://smallpdf.com
.. _comparison: https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools .. _comparison: https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools
What's in a name? What's in a name?
----------------- -----------------
+21 -3
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@@ -14,7 +14,7 @@ Begin by importing the Camelot module::
>>> import camelot >>> import camelot
Now, let's try to read a PDF. (You can check out the PDF used in this example `here`_.) Since the PDF has a table with clearly demarcated lines, we will use the :ref:`Lattice <lattice>` method here. To do that, we will set the ``mesh`` keyword argument to ``True``. Now, let's try to read a PDF. (You can check out the PDF used in this example `here`_.) Since the PDF has a table with clearly demarcated lines, we will use the :ref:`Lattice <lattice>` method here.
.. note:: :ref:`Lattice <lattice>` is used by default. You can use :ref:`Stream <stream>` with ``flavor='stream'``. .. note:: :ref:`Lattice <lattice>` is used by default. You can use :ref:`Stream <stream>` with ``flavor='stream'``.
@@ -56,7 +56,7 @@ Woah! The accuracy is top-notch and there is less whitespace, which means the ta
.. csv-table:: .. csv-table::
:file: ../_static/csv/foo.csv :file: ../_static/csv/foo.csv
Looks good! You can now export the table as a CSV file using its :meth:`to_csv() <camelot.core.Table.to_csv>` method. Alternatively you can use :meth:`to_json() <camelot.core.Table.to_json>`, :meth:`to_excel() <camelot.core.Table.to_excel>` or :meth:`to_html() <camelot.core.Table.to_html>` methods to export the table as JSON, Excel and HTML files respectively. Looks good! You can now export the table as a CSV file using its :meth:`to_csv() <camelot.core.Table.to_csv>` method. Alternatively you can use :meth:`to_json() <camelot.core.Table.to_json>`, :meth:`to_excel() <camelot.core.Table.to_excel>` :meth:`to_html() <camelot.core.Table.to_html>` or :meth:`to_sqlite() <camelot.core.Table.to_sqlite>` methods to export the table as JSON, Excel, HTML files or a sqlite database respectively.
:: ::
@@ -70,7 +70,13 @@ You can also export all tables at once, using the :class:`tables <camelot.core.T
>>> tables.export('foo.csv', f='csv') >>> tables.export('foo.csv', f='csv')
This will export all tables as CSV files at the path specified. Alternatively, you can use ``f='json'``, ``f='excel'`` or ``f='html'``. .. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot --format csv --output foo.csv lattice foo.pdf
This will export all tables as CSV files at the path specified. Alternatively, you can use ``f='json'``, ``f='excel'``, ``f='html'`` or ``f='sqlite'``.
.. note:: The :meth:`export() <camelot.core.TableList.export>` method exports files with a ``page-*-table-*`` suffix. In the example above, the single table in the list will be exported to ``foo-page-1-table-1.csv``. If the list contains multiple tables, multiple CSV files will be created. To avoid filling up your path with multiple files, you can use ``compress=True``, which will create a single ZIP file at your path with all the CSV files. .. note:: The :meth:`export() <camelot.core.TableList.export>` method exports files with a ``page-*-table-*`` suffix. In the example above, the single table in the list will be exported to ``foo-page-1-table-1.csv``. If the list contains multiple tables, multiple CSV files will be created. To avoid filling up your path with multiple files, you can use ``compress=True``, which will create a single ZIP file at your path with all the CSV files.
@@ -85,6 +91,12 @@ By default, Camelot only uses the first page of the PDF to extract tables. To sp
>>> camelot.read_pdf('your.pdf', pages='1,2,3') >>> camelot.read_pdf('your.pdf', pages='1,2,3')
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot --pages 1,2,3 lattice your.pdf
The ``pages`` keyword argument accepts pages as comma-separated string of page numbers. You can also specify page ranges — for example, ``pages=1,4-10,20-30`` or ``pages=1,4-10,20-end``. The ``pages`` keyword argument accepts pages as comma-separated string of page numbers. You can also specify page ranges — for example, ``pages=1,4-10,20-30`` or ``pages=1,4-10,20-end``.
Reading encrypted PDFs Reading encrypted PDFs
@@ -98,6 +110,12 @@ To extract tables from encrypted PDF files you must provide a password when call
>>> tables >>> tables
<TableList n=1> <TableList n=1>
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
::
$ camelot --password userpass lattice foo.pdf
Currently Camelot only supports PDFs encrypted with ASCII passwords and algorithm `code 1 or 2`_. An exception is thrown if the PDF cannot be read. This may be due to no password being provided, an incorrect password, or an unsupported encryption algorithm. Currently Camelot only supports PDFs encrypted with ASCII passwords and algorithm `code 1 or 2`_. An exception is thrown if the PDF cannot be read. This may be due to no password being provided, an incorrect password, or an unsupported encryption algorithm.
Further encryption support may be added in future, however in the meantime if your PDF files are using unsupported encryption algorithms you are advised to remove encryption before calling :meth:`read_pdf() <camelot.read_pdf>`. This can been successfully achieved with third-party tools such as `QPDF`_. Further encryption support may be added in future, however in the meantime if your PDF files are using unsupported encryption algorithms you are advised to remove encryption before calling :meth:`read_pdf() <camelot.read_pdf>`. This can been successfully achieved with third-party tools such as `QPDF`_.
+10 -8
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@@ -1,8 +1,10 @@
click>=6.7 chardet>=3.0.4
matplotlib>=2.2.3 click>=6.7
numpy>=1.13.3 matplotlib>=2.2.3
opencv-python>=3.4.2.17 numpy>=1.13.3
openpyxl>=2.5.8 opencv-python>=3.4.2.17
pandas>=0.23.4 openpyxl>=2.5.8
pdfminer.six>=20170720 pandas>=0.23.4
PyPDF2>=1.26.0 pdfminer.six>=20200726
PyPDF2>=1.26.0
Sphinx>=3.1.2
+2 -2
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@@ -2,5 +2,5 @@
test=pytest test=pytest
[tool:pytest] [tool:pytest]
addopts = --verbose --cov-config .coveragerc --cov-report term --cov-report xml --cov=camelot tests addopts = --verbose --cov-config .coveragerc --cov-report term --cov-report xml --cov=camelot --mpl
python_files = tests/test_*.py python_files = tests/test_*.py
+19 -11
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@@ -14,26 +14,33 @@ with open('README.md', 'r') as f:
requires = [ requires = [
'chardet>=3.0.4',
'click>=6.7', 'click>=6.7',
'matplotlib>=2.2.3',
'numpy>=1.13.3', 'numpy>=1.13.3',
'openpyxl>=2.5.8', 'openpyxl>=2.5.8',
'pandas>=0.23.4', 'pandas>=0.23.4',
'pdfminer.six>=20170720', 'pdfminer.six>=20200726',
'PyPDF2>=1.26.0' 'PyPDF2>=1.26.0'
] ]
all_requires = [ cv_requires = [
'opencv-python>=3.4.2.17' 'opencv-python>=3.4.2.17'
] ]
plot_requires = [
'matplotlib>=2.2.3',
]
dev_requires = [ dev_requires = [
'codecov>=2.0.15', 'codecov>=2.0.15',
'pytest>=3.8.0', 'pytest>=5.4.3',
'pytest-cov>=2.6.0', 'pytest-cov>=2.10.0',
'pytest-runner>=4.2', 'pytest-mpl>=0.11',
'Sphinx>=1.7.9' 'pytest-runner>=5.2',
'Sphinx>=3.1.2'
] ]
all_requires = cv_requires + plot_requires
dev_requires = dev_requires + all_requires dev_requires = dev_requires + all_requires
@@ -51,7 +58,9 @@ def setup_package():
install_requires=requires, install_requires=requires,
extras_require={ extras_require={
'all': all_requires, 'all': all_requires,
'dev': dev_requires 'cv': cv_requires,
'dev': dev_requires,
'plot': plot_requires
}, },
entry_points={ entry_points={
'console_scripts': [ 'console_scripts': [
@@ -62,10 +71,9 @@ def setup_package():
# Trove classifiers # Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers # Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: MIT License', 'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7' 'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8'
]) ])
try: try:
+3
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@@ -0,0 +1,3 @@
import matplotlib
matplotlib.use("agg")
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+109 -51
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@@ -9,109 +9,167 @@ from camelot.utils import TemporaryDirectory
testdir = os.path.dirname(os.path.abspath(__file__)) testdir = os.path.dirname(os.path.abspath(__file__))
testdir = os.path.join(testdir, 'files') testdir = os.path.join(testdir, "files")
def test_help_output():
runner = CliRunner()
prog_name = runner.get_default_prog_name(cli)
result = runner.invoke(cli, ["--help"])
output = result.output
assert prog_name == "camelot"
assert result.output.startswith("Usage: %(prog_name)s [OPTIONS] COMMAND" % locals())
assert all(
v in result.output
for v in ["Options:", "--version", "--help", "Commands:", "lattice", "stream"]
)
def test_cli_lattice(): def test_cli_lattice():
with TemporaryDirectory() as tempdir: with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, 'foo.pdf') infile = os.path.join(testdir, "foo.pdf")
outfile = os.path.join(tempdir, 'foo.csv') outfile = os.path.join(tempdir, "foo.csv")
runner = CliRunner() runner = CliRunner()
result = runner.invoke(cli, ['--format', 'csv', '--output', outfile, result = runner.invoke(
'lattice', infile]) cli, ["--format", "csv", "--output", outfile, "lattice", infile]
)
assert result.exit_code == 0 assert result.exit_code == 0
assert result.output == 'Found 1 tables\n' assert result.output == "Found 1 tables\n"
result = runner.invoke(cli, ['--format', 'csv', result = runner.invoke(cli, ["--format", "csv", "lattice", infile])
'lattice', infile]) output_error = "Error: Please specify output file path using --output"
output_error = 'Error: Please specify output file path using --output'
assert output_error in result.output assert output_error in result.output
result = runner.invoke(cli, ['--output', outfile, result = runner.invoke(cli, ["--output", outfile, "lattice", infile])
'lattice', infile]) format_error = "Please specify output file format using --format"
format_error = 'Please specify output file format using --format'
assert format_error in result.output assert format_error in result.output
def test_cli_stream(): def test_cli_stream():
with TemporaryDirectory() as tempdir: with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, 'budget.pdf') infile = os.path.join(testdir, "budget.pdf")
outfile = os.path.join(tempdir, 'budget.csv') outfile = os.path.join(tempdir, "budget.csv")
runner = CliRunner() runner = CliRunner()
result = runner.invoke(cli, ['--format', 'csv', '--output', outfile, result = runner.invoke(
'stream', infile]) cli, ["--format", "csv", "--output", outfile, "stream", infile]
)
assert result.exit_code == 0 assert result.exit_code == 0
assert result.output == 'Found 1 tables\n' assert result.output == "Found 1 tables\n"
result = runner.invoke(cli, ['--format', 'csv', 'stream', infile]) result = runner.invoke(cli, ["--format", "csv", "stream", infile])
output_error = 'Error: Please specify output file path using --output' output_error = "Error: Please specify output file path using --output"
assert output_error in result.output assert output_error in result.output
result = runner.invoke(cli, ['--output', outfile, 'stream', infile]) result = runner.invoke(cli, ["--output", outfile, "stream", infile])
format_error = 'Please specify output file format using --format' format_error = "Please specify output file format using --format"
assert format_error in result.output assert format_error in result.output
def test_cli_password(): def test_cli_password():
with TemporaryDirectory() as tempdir: with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, 'health_protected.pdf') infile = os.path.join(testdir, "health_protected.pdf")
outfile = os.path.join(tempdir, 'health_protected.csv') outfile = os.path.join(tempdir, "health_protected.csv")
runner = CliRunner() runner = CliRunner()
result = runner.invoke(cli, ['--password', 'userpass', result = runner.invoke(
'--format', 'csv', '--output', outfile, cli,
'stream', infile]) [
"--password",
"userpass",
"--format",
"csv",
"--output",
outfile,
"stream",
infile,
],
)
assert result.exit_code == 0 assert result.exit_code == 0
assert result.output == 'Found 1 tables\n' assert result.output == "Found 1 tables\n"
output_error = 'file has not been decrypted' output_error = "file has not been decrypted"
# no password # no password
result = runner.invoke(cli, ['--format', 'csv', '--output', outfile, result = runner.invoke(
'stream', infile]) cli, ["--format", "csv", "--output", outfile, "stream", infile]
)
assert output_error in str(result.exception) assert output_error in str(result.exception)
# bad password # bad password
result = runner.invoke(cli, ['--password', 'wrongpass', result = runner.invoke(
'--format', 'csv', '--output', outfile, cli,
'stream', infile]) [
"--password",
"wrongpass",
"--format",
"csv",
"--output",
outfile,
"stream",
infile,
],
)
assert output_error in str(result.exception) assert output_error in str(result.exception)
def test_cli_output_format(): def test_cli_output_format():
with TemporaryDirectory() as tempdir: with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, 'health.pdf') infile = os.path.join(testdir, "health.pdf")
outfile = os.path.join(tempdir, 'health.{}')
runner = CliRunner() runner = CliRunner()
# json # json
result = runner.invoke(cli, ['--format', 'json', '--output', outfile.format('json'), outfile = os.path.join(tempdir, "health.json")
'stream', infile]) result = runner.invoke(
cli,
["--format", "json", "--output", outfile, "stream", infile],
)
assert result.exit_code == 0 assert result.exit_code == 0
# excel # excel
result = runner.invoke(cli, ['--format', 'excel', '--output', outfile.format('xlsx'), outfile = os.path.join(tempdir, "health.xlsx")
'stream', infile]) result = runner.invoke(
cli,
["--format", "excel", "--output", outfile, "stream", infile],
)
assert result.exit_code == 0 assert result.exit_code == 0
# html # html
result = runner.invoke(cli, ['--format', 'html', '--output', outfile.format('html'), outfile = os.path.join(tempdir, "health.html")
'stream', infile]) result = runner.invoke(
cli,
["--format", "html", "--output", outfile, "stream", infile],
)
assert result.exit_code == 0 assert result.exit_code == 0
# zip # zip
result = runner.invoke(cli, ['--zip', '--format', 'csv', '--output', outfile.format('csv'), outfile = os.path.join(tempdir, "health.csv")
'stream', infile]) result = runner.invoke(
cli,
[
"--zip",
"--format",
"csv",
"--output",
outfile,
"stream",
infile,
],
)
assert result.exit_code == 0 assert result.exit_code == 0
def test_cli_quiet(): def test_cli_quiet():
with TemporaryDirectory() as tempdir: with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, 'blank.pdf') infile = os.path.join(testdir, "blank.pdf")
outfile = os.path.join(tempdir, 'blank.csv') outfile = os.path.join(tempdir, "blank.csv")
runner = CliRunner() runner = CliRunner()
result = runner.invoke(cli, ['--format', 'csv', '--output', outfile, result = runner.invoke(
'stream', infile]) cli, ["--format", "csv", "--output", outfile, "stream", infile]
assert 'No tables found on page-1' in result.output )
assert "No tables found on page-1" in result.output
result = runner.invoke(cli, ['--quiet', '--format', 'csv', result = runner.invoke(
'--output', outfile, 'stream', infile]) cli, ["--quiet", "--format", "csv", "--output", outfile, "stream", infile]
assert 'No tables found on page-1' not in result.output )
assert "No tables found on page-1" not in result.output
+187 -30
View File
@@ -3,8 +3,11 @@
import os import os
import pandas as pd import pandas as pd
from pandas.testing import assert_frame_equal
import camelot import camelot
from camelot.core import Table, TableList
from camelot.__version__ import generate_version
from .data import * from .data import *
@@ -13,12 +16,7 @@ testdir = os.path.join(testdir, "files")
def test_parsing_report(): def test_parsing_report():
parsing_report = { parsing_report = {"accuracy": 99.02, "whitespace": 12.24, "order": 1, "page": 1}
'accuracy': 99.02,
'whitespace': 12.24,
'order': 1,
'page': 1
}
filename = os.path.join(testdir, "foo.pdf") filename = os.path.join(testdir, "foo.pdf")
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
@@ -30,10 +28,10 @@ def test_password():
filename = os.path.join(testdir, "health_protected.pdf") filename = os.path.join(testdir, "health_protected.pdf")
tables = camelot.read_pdf(filename, password="ownerpass", flavor="stream") tables = camelot.read_pdf(filename, password="ownerpass", flavor="stream")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
tables = camelot.read_pdf(filename, password="userpass", flavor="stream") tables = camelot.read_pdf(filename, password="userpass", flavor="stream")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_stream(): def test_stream():
@@ -41,7 +39,7 @@ def test_stream():
filename = os.path.join(testdir, "health.pdf") filename = os.path.join(testdir, "health.pdf")
tables = camelot.read_pdf(filename, flavor="stream") tables = camelot.read_pdf(filename, flavor="stream")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_stream_table_rotated(): def test_stream_table_rotated():
@@ -49,19 +47,43 @@ def test_stream_table_rotated():
filename = os.path.join(testdir, "clockwise_table_2.pdf") filename = os.path.join(testdir, "clockwise_table_2.pdf")
tables = camelot.read_pdf(filename, flavor="stream") tables = camelot.read_pdf(filename, flavor="stream")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
filename = os.path.join(testdir, "anticlockwise_table_2.pdf") filename = os.path.join(testdir, "anticlockwise_table_2.pdf")
tables = camelot.read_pdf(filename, flavor="stream") tables = camelot.read_pdf(filename, flavor="stream")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_stream_two_tables():
df1 = pd.DataFrame(data_stream_two_tables_1)
df2 = pd.DataFrame(data_stream_two_tables_2)
filename = os.path.join(testdir, "tabula/12s0324.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
assert len(tables) == 2
assert df1.equals(tables[0].df)
assert df2.equals(tables[1].df)
def test_stream_table_regions():
df = pd.DataFrame(data_stream_table_areas)
filename = os.path.join(testdir, "tabula/us-007.pdf")
tables = camelot.read_pdf(
filename, flavor="stream", table_regions=["320,460,573,335"]
)
assert_frame_equal(df, tables[0].df)
def test_stream_table_areas(): def test_stream_table_areas():
df = pd.DataFrame(data_stream_table_areas) df = pd.DataFrame(data_stream_table_areas)
filename = os.path.join(testdir, "tabula/us-007.pdf") filename = os.path.join(testdir, "tabula/us-007.pdf")
tables = camelot.read_pdf(filename, flavor="stream", table_areas=["320,500,573,335"]) tables = camelot.read_pdf(
assert df.equals(tables[0].df) filename, flavor="stream", table_areas=["320,500,573,335"]
)
assert_frame_equal(df, tables[0].df)
def test_stream_columns(): def test_stream_columns():
@@ -69,8 +91,9 @@ def test_stream_columns():
filename = os.path.join(testdir, "mexican_towns.pdf") filename = os.path.join(testdir, "mexican_towns.pdf")
tables = camelot.read_pdf( tables = camelot.read_pdf(
filename, flavor="stream", columns=["67,180,230,425,475"], row_close_tol=10) filename, flavor="stream", columns=["67,180,230,425,475"], row_tol=10
assert df.equals(tables[0].df) )
assert_frame_equal(df, tables[0].df)
def test_stream_split_text(): def test_stream_split_text():
@@ -78,8 +101,12 @@ def test_stream_split_text():
filename = os.path.join(testdir, "tabula/m27.pdf") filename = os.path.join(testdir, "tabula/m27.pdf")
tables = camelot.read_pdf( tables = camelot.read_pdf(
filename, flavor="stream", columns=["72,95,209,327,442,529,566,606,683"], split_text=True) filename,
assert df.equals(tables[0].df) flavor="stream",
columns=["72,95,209,327,442,529,566,606,683"],
split_text=True,
)
assert_frame_equal(df, tables[0].df)
def test_stream_flag_size(): def test_stream_flag_size():
@@ -87,16 +114,43 @@ def test_stream_flag_size():
filename = os.path.join(testdir, "superscript.pdf") filename = os.path.join(testdir, "superscript.pdf")
tables = camelot.read_pdf(filename, flavor="stream", flag_size=True) tables = camelot.read_pdf(filename, flavor="stream", flag_size=True)
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_stream_strip_text():
df = pd.DataFrame(data_stream_strip_text)
filename = os.path.join(testdir, "detect_vertical_false.pdf")
tables = camelot.read_pdf(filename, flavor="stream", strip_text=" ,\n")
assert_frame_equal(df, tables[0].df)
def test_stream_edge_tol():
df = pd.DataFrame(data_stream_edge_tol)
filename = os.path.join(testdir, "edge_tol.pdf")
tables = camelot.read_pdf(filename, flavor="stream", edge_tol=500)
assert_frame_equal(df, tables[0].df)
def test_stream_layout_kwargs():
df = pd.DataFrame(data_stream_layout_kwargs)
filename = os.path.join(testdir, "detect_vertical_false.pdf")
tables = camelot.read_pdf(
filename, flavor="stream", layout_kwargs={"detect_vertical": False}
)
assert_frame_equal(df, tables[0].df)
def test_lattice(): def test_lattice():
df = pd.DataFrame(data_lattice) df = pd.DataFrame(data_lattice)
filename = os.path.join( filename = os.path.join(
testdir, "tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf") testdir, "tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf"
)
tables = camelot.read_pdf(filename, pages="2") tables = camelot.read_pdf(filename, pages="2")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_lattice_table_rotated(): def test_lattice_table_rotated():
@@ -104,11 +158,30 @@ def test_lattice_table_rotated():
filename = os.path.join(testdir, "clockwise_table_1.pdf") filename = os.path.join(testdir, "clockwise_table_1.pdf")
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
filename = os.path.join(testdir, "anticlockwise_table_1.pdf") filename = os.path.join(testdir, "anticlockwise_table_1.pdf")
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_lattice_two_tables():
df1 = pd.DataFrame(data_lattice_two_tables_1)
df2 = pd.DataFrame(data_lattice_two_tables_2)
filename = os.path.join(testdir, "twotables_2.pdf")
tables = camelot.read_pdf(filename)
assert len(tables) == 2
assert df1.equals(tables[0].df)
assert df2.equals(tables[1].df)
def test_lattice_table_regions():
df = pd.DataFrame(data_lattice_table_regions)
filename = os.path.join(testdir, "table_region.pdf")
tables = camelot.read_pdf(filename, table_regions=["170,370,560,270"])
assert_frame_equal(df, tables[0].df)
def test_lattice_table_areas(): def test_lattice_table_areas():
@@ -116,7 +189,7 @@ def test_lattice_table_areas():
filename = os.path.join(testdir, "twotables_2.pdf") filename = os.path.join(testdir, "twotables_2.pdf")
tables = camelot.read_pdf(filename, table_areas=["80,693,535,448"]) tables = camelot.read_pdf(filename, table_areas=["80,693,535,448"])
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_lattice_process_background(): def test_lattice_process_background():
@@ -124,15 +197,15 @@ def test_lattice_process_background():
filename = os.path.join(testdir, "background_lines_1.pdf") filename = os.path.join(testdir, "background_lines_1.pdf")
tables = camelot.read_pdf(filename, process_background=True) tables = camelot.read_pdf(filename, process_background=True)
assert df.equals(tables[1].df) assert_frame_equal(df, tables[1].df)
def test_lattice_copy_text(): def test_lattice_copy_text():
df = pd.DataFrame(data_lattice_copy_text) df = pd.DataFrame(data_lattice_copy_text)
filename = os.path.join(testdir, "row_span_1.pdf") filename = os.path.join(testdir, "row_span_1.pdf")
tables = camelot.read_pdf(filename, line_size_scaling=60, copy_text="v") tables = camelot.read_pdf(filename, line_scale=60, copy_text="v")
assert df.equals(tables[0].df) assert_frame_equal(df, tables[0].df)
def test_lattice_shift_text(): def test_lattice_shift_text():
@@ -141,13 +214,13 @@ def test_lattice_shift_text():
df_rb = pd.DataFrame(data_lattice_shift_text_right_bottom) df_rb = pd.DataFrame(data_lattice_shift_text_right_bottom)
filename = os.path.join(testdir, "column_span_2.pdf") filename = os.path.join(testdir, "column_span_2.pdf")
tables = camelot.read_pdf(filename, line_size_scaling=40) tables = camelot.read_pdf(filename, line_scale=40)
assert df_lt.equals(tables[0].df) assert df_lt.equals(tables[0].df)
tables = camelot.read_pdf(filename, line_size_scaling=40, shift_text=['']) tables = camelot.read_pdf(filename, line_scale=40, shift_text=[""])
assert df_disable.equals(tables[0].df) assert df_disable.equals(tables[0].df)
tables = camelot.read_pdf(filename, line_size_scaling=40, shift_text=['r', 'b']) tables = camelot.read_pdf(filename, line_scale=40, shift_text=["r", "b"])
assert df_rb.equals(tables[0].df) assert df_rb.equals(tables[0].df)
@@ -156,4 +229,88 @@ def test_repr():
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
assert repr(tables) == "<TableList n=1>" assert repr(tables) == "<TableList n=1>"
assert repr(tables[0]) == "<Table shape=(7, 7)>" assert repr(tables[0]) == "<Table shape=(7, 7)>"
assert repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.42 x2=164.64 y2=233.89>" assert (
repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
)
def test_pages():
url = "https://camelot-py.readthedocs.io/en/master/_static/pdf/foo.pdf"
tables = camelot.read_pdf(url)
assert repr(tables) == "<TableList n=1>"
assert repr(tables[0]) == "<Table shape=(7, 7)>"
assert (
repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
)
tables = camelot.read_pdf(url, pages="1-end")
assert repr(tables) == "<TableList n=1>"
assert repr(tables[0]) == "<Table shape=(7, 7)>"
assert (
repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
)
tables = camelot.read_pdf(url, pages="all")
assert repr(tables) == "<TableList n=1>"
assert repr(tables[0]) == "<Table shape=(7, 7)>"
assert (
repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
)
def test_url():
url = "https://camelot-py.readthedocs.io/en/master/_static/pdf/foo.pdf"
tables = camelot.read_pdf(url)
assert repr(tables) == "<TableList n=1>"
assert repr(tables[0]) == "<Table shape=(7, 7)>"
assert (
repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.43 x2=164.64 y2=233.77>"
)
def test_arabic():
df = pd.DataFrame(data_arabic)
filename = os.path.join(testdir, "tabula/arabic.pdf")
tables = camelot.read_pdf(filename)
assert_frame_equal(df, tables[0].df)
def test_table_order():
def _make_table(page, order):
t = Table([], [])
t.page = page
t.order = order
return t
table_list = TableList(
[_make_table(2, 1), _make_table(1, 1), _make_table(3, 4), _make_table(1, 2)]
)
assert [(t.page, t.order) for t in sorted(table_list)] == [
(1, 1),
(1, 2),
(2, 1),
(3, 4),
]
assert [(t.page, t.order) for t in sorted(table_list, reverse=True)] == [
(3, 4),
(2, 1),
(1, 2),
(1, 1),
]
def test_version_generation():
version = (0, 7, 3)
assert generate_version(version, prerelease=None, revision=None) == "0.7.3"
def test_version_generation_with_prerelease_revision():
version = (0, 7, 3)
prerelease = "alpha"
revision = 2
assert (
generate_version(version, prerelease=prerelease, revision=revision)
== "0.7.3-alpha.2"
)
+55 -44
View File
@@ -10,82 +10,93 @@ import camelot
testdir = os.path.dirname(os.path.abspath(__file__)) testdir = os.path.dirname(os.path.abspath(__file__))
testdir = os.path.join(testdir, "files") testdir = os.path.join(testdir, "files")
filename = os.path.join(testdir, 'foo.pdf') filename = os.path.join(testdir, "foo.pdf")
def test_unknown_flavor(): def test_unknown_flavor():
message = ("Unknown flavor specified." message = "Unknown flavor specified." " Use either 'lattice' or 'stream'"
" Use either 'lattice' or 'stream'") with pytest.raises(NotImplementedError, match=message):
with pytest.raises(NotImplementedError, message=message): tables = camelot.read_pdf(filename, flavor="chocolate")
tables = camelot.read_pdf(filename, flavor='chocolate')
def test_input_kwargs(): def test_input_kwargs():
message = "columns cannot be used with flavor='lattice'" message = "columns cannot be used with flavor='lattice'"
with pytest.raises(ValueError, message=message): with pytest.raises(ValueError, match=message):
tables = camelot.read_pdf(filename, columns=['10,20,30,40']) tables = camelot.read_pdf(filename, columns=["10,20,30,40"])
def test_unsupported_format(): def test_unsupported_format():
message = 'File format not supported' message = "File format not supported"
filename = os.path.join(testdir, 'foo.csv') filename = os.path.join(testdir, "foo.csv")
with pytest.raises(NotImplementedError, message=message): with pytest.raises(NotImplementedError, match=message):
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
def test_stream_equal_length(): def test_stream_equal_length():
message = ("Length of table_areas and columns" message = "Length of table_areas and columns" " should be equal"
" should be equal") with pytest.raises(ValueError, match=message):
with pytest.raises(ValueError, message=message): tables = camelot.read_pdf(
tables = camelot.read_pdf(filename, flavor='stream', filename,
table_areas=['10,20,30,40'], columns=['10,20,30,40', '10,20,30,40']) flavor="stream",
table_areas=["10,20,30,40"],
columns=["10,20,30,40", "10,20,30,40"],
)
def test_image_warning():
filename = os.path.join(testdir, "image.pdf")
with warnings.catch_warnings():
warnings.simplefilter("error")
with pytest.raises(UserWarning) as e:
tables = camelot.read_pdf(filename)
assert (
str(e.value)
== "page-1 is image-based, camelot only works on text-based pages."
)
def test_no_tables_found(): def test_no_tables_found():
filename = os.path.join(testdir, 'blank.pdf') filename = os.path.join(testdir, "blank.pdf")
with warnings.catch_warnings(): with warnings.catch_warnings():
warnings.simplefilter('error') warnings.simplefilter("error")
with pytest.raises(UserWarning) as e: with pytest.raises(UserWarning) as e:
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
assert str(e.value) == 'No tables found on page-1' assert str(e.value) == "No tables found on page-1"
def test_no_tables_found_logs_suppressed():
filename = os.path.join(testdir, "foo.pdf")
with warnings.catch_warnings():
# the test should fail if any warning is thrown
warnings.simplefilter("error")
try:
tables = camelot.read_pdf(filename, suppress_stdout=True)
except Warning as e:
warning_text = str(e)
pytest.fail(f"Unexpected warning: {warning_text}")
def test_no_tables_found_warnings_suppressed(): def test_no_tables_found_warnings_suppressed():
filename = os.path.join(testdir, 'blank.pdf') filename = os.path.join(testdir, "blank.pdf")
with warnings.catch_warnings(): with warnings.catch_warnings():
# the test should fail if any warning is thrown # the test should fail if any warning is thrown
warnings.simplefilter('error') warnings.simplefilter("error")
try: try:
tables = camelot.read_pdf(filename, suppress_warnings=True) tables = camelot.read_pdf(filename, suppress_stdout=True)
except Warning as e: except Warning as e:
warning_text = str(e) warning_text = str(e)
pytest.fail('Unexpected warning: {}'.format(warning_text)) pytest.fail(f"Unexpected warning: {warning_text}")
def test_ghostscript_not_found(monkeypatch):
import distutils
def _find_executable_patch(arg):
return ''
monkeypatch.setattr(distutils.spawn, 'find_executable', _find_executable_patch)
message = ('Please make sure that Ghostscript is installed and available'
' on the PATH environment variable')
filename = os.path.join(testdir, 'foo.pdf')
with pytest.raises(Exception, message=message):
tables = camelot.read_pdf(filename)
def test_no_password(): def test_no_password():
filename = os.path.join(testdir, 'health_protected.pdf') filename = os.path.join(testdir, "health_protected.pdf")
message = 'file has not been decrypted' message = "file has not been decrypted"
with pytest.raises(Exception, message=message): with pytest.raises(Exception, match=message):
tables = camelot.read_pdf(filename) tables = camelot.read_pdf(filename)
def test_bad_password(): def test_bad_password():
filename = os.path.join(testdir, 'health_protected.pdf') filename = os.path.join(testdir, "health_protected.pdf")
message = 'file has not been decrypted' message = "file has not been decrypted"
with pytest.raises(Exception, message=message): with pytest.raises(Exception, match=message):
tables = camelot.read_pdf(filename, password='wrongpass') tables = camelot.read_pdf(filename, password="wrongpass")
+60
View File
@@ -0,0 +1,60 @@
# -*- coding: utf-8 -*-
import os
import pytest
import camelot
testdir = os.path.dirname(os.path.abspath(__file__))
testdir = os.path.join(testdir, "files")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_text_plot():
filename = os.path.join(testdir, "foo.pdf")
tables = camelot.read_pdf(filename)
return camelot.plot(tables[0], kind="text")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_grid_plot():
filename = os.path.join(testdir, "foo.pdf")
tables = camelot.read_pdf(filename)
return camelot.plot(tables[0], kind="grid")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_lattice_contour_plot():
filename = os.path.join(testdir, "foo.pdf")
tables = camelot.read_pdf(filename)
return camelot.plot(tables[0], kind="contour")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_stream_contour_plot():
filename = os.path.join(testdir, "tabula/12s0324.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
return camelot.plot(tables[0], kind="contour")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_line_plot():
filename = os.path.join(testdir, "foo.pdf")
tables = camelot.read_pdf(filename)
return camelot.plot(tables[0], kind="line")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_joint_plot():
filename = os.path.join(testdir, "foo.pdf")
tables = camelot.read_pdf(filename)
return camelot.plot(tables[0], kind="joint")
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
def test_textedge_plot():
filename = os.path.join(testdir, "tabula/12s0324.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
return camelot.plot(tables[0], kind="textedge")