1 Commits

Author SHA1 Message Date
Vinayak Mehta 6744e0525a Fix #21 2019-10-15 15:24:21 +05:30
49 changed files with 516 additions and 914 deletions
+10
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@@ -0,0 +1,10 @@
root = true
[*]
end_of_line = lf
insert_final_newline = true
[*.py]
charset = utf-8
indent_style = space
indent_size = 4
-1
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@@ -1 +0,0 @@
open_collective: camelot
-48
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@@ -1,48 +0,0 @@
---
name: Bug report
about: Please follow this template to submit bug reports.
title: ''
labels: bug
assignees: ''
---
<!-- Please read the filing issues section of the contributor's guide first: https://camelot-py.readthedocs.io/en/master/dev/contributing.html -->
**Describe the bug**
A clear and concise description of what the bug is.
**Steps to reproduce the bug**
Steps used to install `camelot`:
1. Add step here (you can add more steps too)
Steps to reproduce the behavior:
1. Add step here (you can add more steps too)
**Expected behavior**
A clear and concise description of what you expected to happen.
**Code**
Add the Camelot code snippet that you used.
```
import camelot
# add your code here
```
**PDF**
Add the PDF file that you want to extract tables from.
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Environment**
- OS: [e.g. MacOS]
- Python version:
- Numpy version:
- OpenCV version:
- Ghostscript version:
- Camelot version:
**Additional context**
Add any other context about the problem here.
-27
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@@ -1,27 +0,0 @@
# .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:
- method: pip
path: .
extra_requirements:
- dev
+9 -6
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@@ -8,6 +8,14 @@ install:
- make install
jobs:
include:
- stage: test
script:
- make test
python: '2.7'
- stage: test
script:
- make test
python: '3.5'
- stage: test
script:
- make test
@@ -17,13 +25,8 @@ jobs:
- make test
python: '3.7'
dist: xenial
- stage: test
script:
- make test
python: '3.8'
dist: xenial
- stage: coverage
python: '3.8'
python: '3.6'
script:
- make test
- codecov --verbose
+1 -1
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@@ -23,7 +23,7 @@ A great way to start contributing to Camelot is to pick an issue tagged with the
To install the dependencies needed for development, you can use pip:
<pre>
$ pip install "camelot-py[dev]"
$ pip install camelot-py[dev]
</pre>
Alternatively, you can clone the project repository, and install using pip:
-24
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@@ -4,30 +4,6 @@ Release History
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).
+7 -2
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@@ -1,7 +1,12 @@
MIT License
Copyright (c) 2019-2020 Camelot Developers
Copyright (c) 2018-2019 Peeply Private Ltd (Singapore)
Modifications:
Copyright (c) 2019 Camelot Developers
Original project:
Copyright (c) 2018 Peeply Private Ltd (Singapore)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
+44 -21
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@@ -7,16 +7,16 @@
[![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/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/) [![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)
[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
**Camelot** is a Python library that can help you extract tables from PDFs!
**Camelot** is a Python library that makes it easy for *anyone* to extract tables from PDF files!
**Note:** You can also check out [Excalibur](https://github.com/camelot-dev/excalibur), the web interface to Camelot!
**Note:** You can also check out [Excalibur](https://github.com/camelot-dev/excalibur), which is a web interface for Camelot!
---
**Here's how you can extract tables from PDFs.** You can check out the PDF used in this example [here](https://github.com/camelot-dev/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>
>>> import camelot
@@ -46,27 +46,24 @@
| 2032_2 | 0.17 | 57.8 | 21.7% | 0.3% | 2.7% | 1.2% |
| 4171_1 | 0.07 | 173.9 | 58.1% | 1.6% | 2.1% | 0.5% |
Camelot also comes packaged with a [command-line interface](https://camelot-py.readthedocs.io/en/master/user/cli.html)!
There's a [command-line interface](https://camelot-py.readthedocs.io/en/master/user/cli.html) too!
**Note:** Camelot only works with text-based PDFs and not scanned documents. (As Tabula [explains](https://github.com/tabulapdf/tabula#why-tabula), "If you can click and drag to select text in your table in a PDF viewer, then your PDF is text-based".)
## Why Camelot?
- **Configurability**: Camelot gives you control over the table extraction process with its [tweakable settings](https://camelot-py.readthedocs.io/en/master/user/advanced.html).
- **Metrics**: Bad tables can be discarded based on metrics like accuracy and whitespace, without having to manually look at each table.
- **Output**: Each table is extracted into a **pandas DataFrame**, which seamlessly integrates into [ETL and data analysis workflows](https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873). You can also export tables to multiple formats, which include CSV, JSON, Excel, HTML and Sqlite.
- **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.
- 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, HTML and Sqlite.
See [comparison with similar libraries and tools](https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools).
## Support the development
If Camelot has helped you, please consider supporting its development with a one-time or monthly donation [on OpenCollective](https://opencollective.com/camelot).
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
### Using conda
The easiest way to install Camelot is with [conda](https://conda.io/docs/), which is a package manager and environment management system for the [Anaconda](http://docs.continuum.io/anaconda/) distribution.
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.
<pre>
$ conda install -c conda-forge camelot-py
@@ -74,10 +71,10 @@ $ conda install -c conda-forge camelot-py
### Using pip
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 also just 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>
$ pip install "camelot-py[cv]"
$ pip install camelot-py[cv]
</pre>
### From the source code
@@ -97,15 +94,35 @@ $ pip install ".[cv]"
## Documentation
The documentation is available at [http://camelot-py.readthedocs.io/](http://camelot-py.readthedocs.io/).
Great documentation is available at [http://camelot-py.readthedocs.io/](http://camelot-py.readthedocs.io/).
## Wrappers
## Development
- [camelot-php](https://github.com/randomstate/camelot-php) provides a [PHP](https://www.php.net/) wrapper on Camelot.
The [Contributor's Guide](https://camelot-py.readthedocs.io/en/master/dev/contributing.html) has detailed information about contributing code, documentation, tests and more. We've included some basic information in this README.
## Contributing
### Source code
The [Contributor's Guide](https://camelot-py.readthedocs.io/en/master/dev/contributing.html) has detailed information about contributing issues, documentation, code, and tests.
You can check the latest sources with:
<pre>
$ git clone https://www.github.com/camelot-dev/camelot
</pre>
### Setting up a development environment
You can install the development dependencies easily, using pip:
<pre>
$ pip install camelot-py[dev]
</pre>
### Testing
After installation, you can run tests using:
<pre>
$ python setup.py test
</pre>
## Versioning
@@ -114,3 +131,9 @@ Camelot uses [Semantic Versioning](https://semver.org/). For the available versi
## License
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!
+2
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@@ -1,5 +1,7 @@
# -*- coding: utf-8 -*-
from __future__ import absolute_import
__all__ = ("main",)
+3 -3
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@@ -1,6 +1,6 @@
# -*- coding: utf-8 -*-
VERSION = (0, 8, 2)
VERSION = (0, 7, 3)
PRERELEASE = None # alpha, beta or rc
REVISION = None
@@ -8,9 +8,9 @@ REVISION = None
def generate_version(version, prerelease=None, revision=None):
version_parts = [".".join(map(str, version))]
if prerelease is not None:
version_parts.append(f"-{prerelease}")
version_parts.append("-{}".format(prerelease))
if revision is not None:
version_parts.append(f".{revision}")
version_parts.append(".{}".format(revision))
return "".join(version_parts)
+2 -2
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@@ -204,7 +204,7 @@ def lattice(c, *args, **kwargs):
tables = read_pdf(
filepath, pages=pages, flavor="lattice", suppress_stdout=quiet, **kwargs
)
click.echo(f"Found {tables.n} tables")
click.echo("Found {} tables".format(tables.n))
if plot_type is not None:
for table in tables:
plot(table, kind=plot_type)
@@ -295,7 +295,7 @@ def stream(c, *args, **kwargs):
tables = read_pdf(
filepath, pages=pages, flavor="stream", suppress_stdout=quiet, **kwargs
)
click.echo(f"Found {tables.n} tables")
click.echo("Found {} tables".format(tables.n))
if plot_type is not None:
for table in tables:
plot(table, kind=plot_type)
+23 -18
View File
@@ -52,10 +52,13 @@ class TextEdge(object):
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}>"
return "<TextEdge x={} y0={} y1={} align={} valid={}>".format(
round(self.x, 2),
round(self.y0, 2),
round(self.y1, 2),
self.align,
self.is_valid,
)
def update_coords(self, x, y0, edge_tol=50):
"""Updates the text edge's x and bottom y coordinates and sets
@@ -288,11 +291,9 @@ class Cell(object):
self._text = ""
def __repr__(self):
x1 = round(self.x1, 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}>"
return "<Cell x1={} y1={} x2={} y2={}>".format(
round(self.x1, 2), round(self.y1, 2), round(self.x2, 2), round(self.y2, 2)
)
@property
def text(self):
@@ -350,7 +351,7 @@ class Table(object):
self.page = None
def __repr__(self):
return f"<{self.__class__.__name__} shape={self.shape}>"
return "<{} shape={}>".format(self.__class__.__name__, self.shape)
def __lt__(self, other):
if self.page == other.page:
@@ -611,7 +612,7 @@ class Table(object):
"""
kw = {
"sheet_name": f"page-{self.page}-table-{self.order}",
"sheet_name": "page-{}-table-{}".format(self.page, self.order),
"encoding": "utf-8",
}
kw.update(kwargs)
@@ -631,7 +632,7 @@ class Table(object):
"""
html_string = self.df.to_html(**kwargs)
with open(path, "w", encoding="utf-8") as f:
with open(path, "w") as f:
f.write(html_string)
def to_sqlite(self, path, **kwargs):
@@ -648,7 +649,7 @@ class Table(object):
kw = {"if_exists": "replace", "index": False}
kw.update(kwargs)
conn = sqlite3.connect(path)
table_name = f"page-{self.page}-table-{self.order}"
table_name = "page-{}-table-{}".format(self.page, self.order)
self.df.to_sql(table_name, conn, **kw)
conn.commit()
conn.close()
@@ -669,7 +670,7 @@ class TableList(object):
self._tables = tables
def __repr__(self):
return f"<{self.__class__.__name__} n={self.n}>"
return "<{} n={}>".format(self.__class__.__name__, self.n)
def __len__(self):
return len(self._tables)
@@ -679,7 +680,7 @@ class TableList(object):
@staticmethod
def _format_func(table, f):
return getattr(table, f"to_{f}")
return getattr(table, "to_{}".format(f))
@property
def n(self):
@@ -690,7 +691,9 @@ class TableList(object):
root = kwargs.get("root")
ext = kwargs.get("ext")
for table in self._tables:
filename = f"{root}-page-{table.page}-table-{table.order}{ext}"
filename = os.path.join(
"{}-page-{}-table-{}{}".format(root, table.page, table.order, ext)
)
filepath = os.path.join(dirname, filename)
to_format = self._format_func(table, f)
to_format(filepath)
@@ -703,7 +706,9 @@ class TableList(object):
zipname = os.path.join(os.path.dirname(path), root) + ".zip"
with zipfile.ZipFile(zipname, "w", allowZip64=True) as z:
for table in self._tables:
filename = f"{root}-page-{table.page}-table-{table.order}{ext}"
filename = os.path.join(
"{}-page-{}-table-{}{}".format(root, table.page, table.order, ext)
)
filepath = os.path.join(dirname, filename)
z.write(filepath, os.path.basename(filepath))
@@ -736,7 +741,7 @@ class TableList(object):
filepath = os.path.join(dirname, basename)
writer = pd.ExcelWriter(filepath)
for table in self._tables:
sheet_name = f"page-{table.page}-table-{table.order}"
sheet_name = "page-{}-table-{}".format(table.page, table.order)
table.df.to_excel(writer, sheet_name=sheet_name, encoding="utf-8")
writer.save()
if compress:
+1 -5
View File
@@ -81,7 +81,6 @@ def delete_instance(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:
@@ -248,10 +247,7 @@ 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%
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)
+45 -49
View File
@@ -2,11 +2,12 @@
import os
import sys
import copy
from PyPDF2 import PdfFileReader, PdfFileWriter
from .core import TableList
from .parsers import Lattice, Stream, LatticeOCR, StreamOCR
from .parsers import Stream, Lattice
from .utils import (
TemporaryDirectory,
get_page_layout,
@@ -70,8 +71,7 @@ class PDFHandler(object):
if pages == "1":
page_numbers.append({"start": 1, "end": 1})
else:
instream = open(filepath, "rb")
infile = PdfFileReader(instream, strict=False)
infile = PdfFileReader(open(filepath, "rb"), strict=False)
if infile.isEncrypted:
infile.decrypt(self.password)
if pages == "all":
@@ -85,59 +85,61 @@ class PDFHandler(object):
page_numbers.append({"start": int(a), "end": int(b)})
else:
page_numbers.append({"start": int(r), "end": int(r)})
instream.close()
P = []
for p in page_numbers:
P.extend(range(p["start"], p["end"] + 1))
return sorted(set(P))
def _save_page(self, filepath, page, temp):
def _save_pages(self, filepath, pages, temp):
"""Saves specified page from PDF into a temporary directory.
Parameters
----------
filepath : str
Filepath or URL of the PDF file.
page : int
Page number.
pages : int
Page numbers.
temp : str
Tmp directory.
"""
with open(filepath, "rb") as fileobj:
infile = PdfFileReader(fileobj, strict=False)
if infile.isEncrypted:
infile.decrypt(self.password)
fpath = os.path.join(temp, f"page-{page}.pdf")
froot, fext = os.path.splitext(fpath)
p = infile.getPage(page - 1)
outfile = PdfFileWriter()
outfile.addPage(p)
with open(fpath, "wb") as f:
outfile.write(f)
layout, dim = get_page_layout(fpath)
# fix rotated PDF
chars = get_text_objects(layout, ltype="char")
horizontal_text = get_text_objects(layout, ltype="horizontal_text")
vertical_text = get_text_objects(layout, ltype="vertical_text")
rotation = get_rotation(chars, horizontal_text, vertical_text)
if rotation != "":
fpath_new = "".join([froot.replace("page", "p"), "_rotated", fext])
os.rename(fpath, fpath_new)
instream = open(fpath_new, "rb")
infile = PdfFileReader(instream, strict=False)
if infile.isEncrypted:
infile.decrypt(self.password)
infile_original = PdfFileReader(fileobj, strict=False)
if infile_original.isEncrypted:
infile_original.decrypt(self.password)
for page in pages:
# Ensure PdfFileReader object is unmodified
infile = copy.copy(infile_original)
fpath = os.path.join(temp, 'page-{0}.pdf'.format(page))
froot, fext = os.path.splitext(fpath)
p = infile.getPage(page - 1)
outfile = PdfFileWriter()
p = infile.getPage(0)
if rotation == "anticlockwise":
p.rotateClockwise(90)
elif rotation == "clockwise":
p.rotateCounterClockwise(90)
outfile.addPage(p)
with open(fpath, "wb") as f:
outfile.write(f)
instream.close()
with open(fpath, 'wb') as f:
outfile.write(f)
# Orient rotated pages correctly
layout, dim = get_page_layout(fpath)
chars = get_text_objects(layout, ltype="char")
horizontal_text = get_text_objects(layout, ltype="horizontal_text")
vertical_text = get_text_objects(layout, ltype="vertical_text")
rotation = get_rotation(chars, horizontal_text, vertical_text)
if rotation != '':
fpath_new = ''.join([froot.replace('page', 'p'), '_rotated', fext])
os.rename(fpath, fpath_new)
infile = PdfFileReader(open(fpath_new, 'rb'), strict=False)
if infile.isEncrypted:
infile.decrypt(self.password)
outfile = PdfFileWriter()
p = infile.getPage(0)
if rotation == 'anticlockwise':
p.rotateClockwise(90)
elif rotation == 'clockwise':
p.rotateCounterClockwise(90)
outfile.addPage(p)
with open(fpath, 'wb') as f:
outfile.write(f)
def parse(
self, flavor="lattice", suppress_stdout=False, layout_kwargs={}, **kwargs
@@ -163,19 +165,13 @@ class PDFHandler(object):
List of tables found in PDF.
"""
parsers = {
"lattice": Lattice,
"stream": Stream,
"lattice_ocr": LatticeOCR,
"stream_ocr": StreamOCR,
}
tables = []
with TemporaryDirectory() as tempdir:
for p in self.pages:
self._save_page(self.filepath, p, tempdir)
pages = [os.path.join(tempdir, f"page-{p}.pdf") for p in self.pages]
parser = parsers[flavor](**kwargs)
self._save_pages(self.filepath, self.pages, tempdir)
pages = [
os.path.join(tempdir, "page-{0}.pdf".format(p)) for p in self.pages
]
parser = Lattice(**kwargs) if flavor == "lattice" else Stream(**kwargs)
for p in pages:
t = parser.extract_tables(
p, suppress_stdout=suppress_stdout, layout_kwargs=layout_kwargs
+2
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@@ -1,5 +1,7 @@
# -*- coding: utf-8 -*-
from __future__ import division
import cv2
import numpy as np
+2 -3
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@@ -98,10 +98,9 @@ def read_pdf(
tables : camelot.core.TableList
"""
if flavor not in ["lattice", "stream", "lattice_ocr", "stream_ocr"]:
if flavor not in ["lattice", "stream"]:
raise NotImplementedError(
"Unknown flavor specified. Use one of the following: "
"'lattice', 'stream', 'lattice_ocr', 'stream_ocr'"
"Unknown flavor specified." " Use either 'lattice' or 'stream'"
)
with warnings.catch_warnings():
+1 -3
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@@ -1,6 +1,4 @@
# -*- coding: utf-8 -*-
from .lattice import Lattice
from .stream import Stream
from .lattice_ocr import LatticeOCR
from .stream_ocr import StreamOCR
from .lattice import Lattice
+1
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@@ -1,5 +1,6 @@
# -*- coding: utf-8 -*-
from __future__ import division
import os
import sys
import copy
-243
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@@ -1,243 +0,0 @@
# -*- coding: utf-8 -*-
import os
import copy
import logging
import subprocess
try:
import easyocr
except ImportError:
_HAS_EASYOCR = False
else:
_HAS_EASYOCR = True
import pandas as pd
from PIL import Image
from .base import BaseParser
from ..core import Table
from ..utils import TemporaryDirectory, merge_close_lines, scale_pdf, segments_in_bbox
from ..image_processing import (
adaptive_threshold,
find_lines,
find_contours,
find_joints,
)
logger = logging.getLogger("camelot")
class LatticeOCR(BaseParser):
def __init__(
self,
table_regions=None,
table_areas=None,
line_scale=15,
line_tol=2,
joint_tol=2,
threshold_blocksize=15,
threshold_constant=-2,
iterations=0,
resolution=300,
):
self.table_regions = table_regions
self.table_areas = table_areas
self.line_scale = line_scale
self.line_tol = line_tol
self.joint_tol = joint_tol
self.threshold_blocksize = threshold_blocksize
self.threshold_constant = threshold_constant
self.iterations = iterations
self.resolution = resolution
if _HAS_EASYOCR:
self.reader = easyocr.Reader(['en'], gpu=False)
else:
raise ImportError("easyocr is required to run OCR on image-based PDFs.")
def _generate_image(self):
from ..ext.ghostscript import Ghostscript
self.imagename = "".join([self.rootname, ".png"])
gs_call = "-q -sDEVICE=png16m -o {} -r900 {}".format(
self.imagename, self.filename
)
gs_call = gs_call.encode().split()
null = open(os.devnull, "wb")
with Ghostscript(*gs_call, stdout=null) as gs:
pass
null.close()
def _generate_table_bbox(self):
def scale_areas(areas, scalers):
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), scalers)
scaled_areas.append((x1, y1, abs(x2 - x1), abs(y2 - y1)))
return scaled_areas
self.image, self.threshold = adaptive_threshold(
self.imagename, blocksize=self.threshold_blocksize, c=self.threshold_constant
)
image_width = self.image.shape[1]
image_height = self.image.shape[0]
image_width_scaler = image_width / float(self.pdf_width)
image_height_scaler = image_height / float(self.pdf_height)
image_scalers = (image_width_scaler, image_height_scaler, self.pdf_height)
if self.table_areas is None:
regions = None
if self.table_regions is not None:
regions = scale_areas(self.table_regions, image_scalers)
vertical_mask, vertical_segments = find_lines(
self.threshold,
regions=regions,
direction="vertical",
line_scale=self.line_scale,
iterations=self.iterations,
)
horizontal_mask, horizontal_segments = find_lines(
self.threshold,
regions=regions,
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:
vertical_mask, vertical_segments = find_lines(
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, image_scalers)
table_bbox = find_joints(areas, vertical_mask, horizontal_mask)
self.table_bbox_unscaled = copy.deepcopy(table_bbox)
self.table_bbox = table_bbox
self.vertical_segments = vertical_segments
self.horizontal_segments = horizontal_segments
def _generate_columns_and_rows(self, table_idx, tk):
cols, rows = zip(*self.table_bbox[tk])
cols, rows = list(cols), list(rows)
cols.extend([tk[0], tk[2]])
rows.extend([tk[1], tk[3]])
# sort horizontal and vertical segments
cols = merge_close_lines(sorted(cols), line_tol=self.line_tol)
rows = merge_close_lines(sorted(rows), line_tol=self.line_tol)
# make grid using x and y coord of shortlisted rows and cols
cols = [(cols[i], cols[i + 1]) for i in range(0, len(cols) - 1)]
rows = [(rows[i], rows[i + 1]) for i in range(0, len(rows) - 1)]
return cols, rows
def _generate_table(self, table_idx, cols, rows, **kwargs):
table = Table(cols, rows)
# set table edges to True using ver+hor lines
table = table.set_edges(self.vertical_segments, self.horizontal_segments, joint_tol=self.joint_tol)
# set table border edges to True
table = table.set_border()
# set spanning cells to True
table = table.set_span()
_seen = set()
for r_idx in range(len(table.cells)):
for c_idx in range(len(table.cells[r_idx])):
if (r_idx, c_idx) in _seen:
continue
_seen.add((r_idx, c_idx))
_r_idx = r_idx
_c_idx = c_idx
if table.cells[r_idx][_c_idx].hspan:
while not table.cells[r_idx][_c_idx].right:
_c_idx += 1
_seen.add((r_idx, _c_idx))
if table.cells[_r_idx][c_idx].vspan:
while not table.cells[_r_idx][c_idx].bottom:
_r_idx += 1
_seen.add((_r_idx, c_idx))
for i in range(r_idx, _r_idx + 1):
for j in range(c_idx, _c_idx + 1):
_seen.add((i, j))
x1 = int(table.cells[r_idx][c_idx].x1)
y1 = int(table.cells[_r_idx][_c_idx].y1)
x2 = int(table.cells[_r_idx][_c_idx].x2)
y2 = int(table.cells[r_idx][c_idx].y2)
with TemporaryDirectory() as tempdir:
temp_image_path = os.path.join(tempdir, f"{table_idx}_{r_idx}_{c_idx}.png")
cell_image = Image.fromarray(self.image[y2:y1, x1:x2])
cell_image.save(temp_image_path)
text = self.reader.readtext(temp_image_path, detail=0)
text = " ".join(text)
table.cells[r_idx][c_idx].text = text
data = table.data
table.df = pd.DataFrame(data)
table.shape = table.df.shape
table.flavor = "lattice_ocr"
table.accuracy = 0
table.whitespace = 0
table.order = table_idx + 1
table.page = int(os.path.basename(self.rootname).replace("page-", ""))
# for plotting
table._text = None
table._image = (self.image, self.table_bbox_unscaled)
table._segments = (self.vertical_segments, self.horizontal_segments)
table._textedges = None
return table
def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}):
self._generate_layout(filename, layout_kwargs)
if not suppress_stdout:
logger.info("Processing {}".format(os.path.basename(self.rootname)))
self._generate_image()
self._generate_table_bbox()
_tables = []
# sort tables based on y-coord
for table_idx, tk in enumerate(
sorted(self.table_bbox.keys(), key=lambda x: x[1], reverse=True)
):
cols, rows = self._generate_columns_and_rows(table_idx, tk)
table = self._generate_table(table_idx, cols, rows)
table._bbox = tk
_tables.append(table)
return _tables
+44 -49
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@@ -1,5 +1,6 @@
# -*- coding: utf-8 -*-
from __future__ import division
import os
import logging
import warnings
@@ -121,7 +122,6 @@ class Stream(BaseParser):
row_y = 0
rows = []
temp = []
for t in text:
# is checking for upright necessary?
# if t.get_text().strip() and all([obj.upright for obj in t._objs if
@@ -132,10 +132,8 @@ class Stream(BaseParser):
temp = []
row_y = t.y0
temp.append(t)
rows.append(sorted(temp, key=lambda t: t.x0))
if len(rows) > 1:
__ = rows.pop(0) # TODO: hacky
__ = rows.pop(0) # TODO: hacky
return rows
@staticmethod
@@ -348,46 +346,43 @@ class Stream(BaseParser):
else:
# calculate mode of the list of number of elements in
# each row to guess the number of columns
if not len(elements):
cols = [(text_x_min, text_x_max)]
else:
ncols = max(set(elements), key=elements.count)
if ncols == 1:
# if mode is 1, the page usually contains not tables
# 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 = self._merge_columns(sorted(cols), column_tol=self.column_tol)
inner_text = []
for i in range(1, len(cols)):
left = cols[i - 1][1]
right = cols[i][0]
inner_text.extend(
[
t
for direction in self.t_bbox
for t in self.t_bbox[direction]
if t.x0 > left and t.x1 < right
]
ncols = max(set(elements), key=elements.count)
if ncols == 1:
# if mode is 1, the page usually contains not tables
# 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(
"No tables found in table area {}".format(table_idx + 1)
)
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)
cols = self._add_columns(cols, inner_text, self.row_tol)
cols = self._join_columns(cols, text_x_min, text_x_max)
cols = [(t.x0, t.x1) for r in rows_grouped if len(r) == ncols for t in r]
cols = self._merge_columns(sorted(cols), column_tol=self.column_tol)
inner_text = []
for i in range(1, len(cols)):
left = cols[i - 1][1]
right = cols[i][0]
inner_text.extend(
[
t
for direction in self.t_bbox
for t in self.t_bbox[direction]
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)
cols = self._add_columns(cols, inner_text, self.row_tol)
cols = self._join_columns(cols, text_x_min, text_x_max)
return cols, rows
@@ -438,19 +433,19 @@ class Stream(BaseParser):
def extract_tables(self, filename, suppress_stdout=False, layout_kwargs={}):
self._generate_layout(filename, layout_kwargs)
base_filename = os.path.basename(self.rootname)
if not suppress_stdout:
logger.info(f"Processing {base_filename}")
logger.info("Processing {}".format(os.path.basename(self.rootname)))
if not self.horizontal_text:
if self.images:
warnings.warn(
f"{base_filename} is image-based, camelot only works on"
" text-based pages."
"{} is image-based, camelot only works on"
" text-based pages.".format(os.path.basename(self.rootname))
)
else:
warnings.warn(f"No tables found on {base_filename}")
warnings.warn(
"No tables found on {}".format(os.path.basename(self.rootname))
)
return []
self._generate_table_bbox()
-7
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@@ -1,7 +0,0 @@
# -*- coding: utf-8 -*-
from .base import BaseParser
class StreamOCR(BaseParser):
pass
+3 -9
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@@ -35,21 +35,15 @@ class PlotMethods(object):
if table.flavor == "lattice" and kind in ["textedge"]:
raise NotImplementedError(
f"Lattice flavor does not support kind='{kind}'"
"Lattice flavor does not support kind='{}'".format(kind)
)
elif table.flavor == "stream" and kind in ["joint", "line"]:
raise NotImplementedError(
f"Stream flavor does not support kind='{kind}'"
"Stream flavor does not support kind='{}'".format(kind)
)
plot_method = getattr(self, kind)
fig = plot_method(table)
if filename is not None:
fig.savefig(filename)
return None
return fig
return plot_method(table)
def text(self, table):
"""Generates a plot for all text elements present
+32 -108
View File
@@ -1,7 +1,9 @@
# -*- coding: utf-8 -*-
from __future__ import division
import os
import re
import os
import sys
import random
import shutil
import string
@@ -27,9 +29,16 @@ from pdfminer.layout import (
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
PY3 = sys.version_info[0] >= 3
if PY3:
from urllib.request import urlopen
from urllib.parse import urlparse as parse_url
from urllib.parse import uses_relative, uses_netloc, uses_params
else:
from urllib2 import urlopen
from urlparse import urlparse as parse_url
from urlparse import uses_relative, uses_netloc, uses_params
_VALID_URLS = set(uses_relative + uses_netloc + uses_params)
@@ -79,12 +88,13 @@ def download_url(url):
Temporary filepath.
"""
filename = f"{random_string(6)}.pdf"
filename = "{}.pdf".format(random_string(6))
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()
obj = urlopen(url)
if PY3:
content_type = obj.info().get_content_type()
else:
content_type = obj.info().getheader("Content-Type")
if content_type != "application/pdf":
raise NotImplementedError("File format not supported")
f.write(obj.read())
@@ -93,6 +103,7 @@ def download_url(url):
return filepath
stream_kwargs = ["columns", "edge_tol", "row_tol", "column_tol"]
lattice_kwargs = [
"process_background",
"line_scale",
@@ -105,7 +116,6 @@ lattice_kwargs = [
"iterations",
"resolution",
]
stream_kwargs = ["columns", "edge_tol", "row_tol", "column_tol"]
def validate_input(kwargs, flavor="lattice"):
@@ -113,17 +123,19 @@ def validate_input(kwargs, flavor="lattice"):
isec = set(parser_kwargs).intersection(set(input_kwargs.keys()))
if isec:
raise ValueError(
f"{','.join(sorted(isec))} cannot be used with flavor='{flavor}'"
"{} cannot be used with flavor='{}'".format(
",".join(sorted(isec)), flavor
)
)
if flavor in ["lattice", "lattice_ocr"]:
if flavor == "lattice":
check_intersection(stream_kwargs, kwargs)
else:
check_intersection(lattice_kwargs, kwargs)
def remove_extra(kwargs, flavor="lattice"):
if flavor in ["lattice", "lattice_ocr"]:
if flavor == "lattice":
for key in kwargs.keys():
if key in stream_kwargs:
kwargs.pop(key)
@@ -353,7 +365,7 @@ def text_in_bbox(bbox, text):
Returns
-------
t_bbox : list
List of PDFMiner text objects that lie inside table, discarding the overlapping ones
List of PDFMiner text objects that lie inside table.
"""
lb = (bbox[0], bbox[1])
@@ -364,97 +376,7 @@ def text_in_bbox(bbox, 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
]
# Avoid duplicate text by discarding overlapping boxes
rest = {t for t in t_bbox}
for ba in t_bbox:
for bb in rest.copy():
if ba == bb:
continue
if bbox_intersect(ba, bb):
# if the intersection is larger than 80% of ba's size, we keep the longest
if (bbox_intersection_area(ba, bb) / bbox_area(ba)) > 0.8:
if bbox_longer(bb, ba):
rest.discard(ba)
unique_boxes = list(rest)
return unique_boxes
def bbox_intersection_area(ba, bb) -> float:
"""Returns area of the intersection of the bounding boxes of two PDFMiner objects.
Parameters
----------
ba : PDFMiner text object
bb : PDFMiner text object
Returns
-------
intersection_area : float
Area of the intersection of the bounding boxes of both objects
"""
x_left = max(ba.x0, bb.x0)
y_top = min(ba.y1, bb.y1)
x_right = min(ba.x1, bb.x1)
y_bottom = max(ba.y0, bb.y0)
if x_right < x_left or y_bottom > y_top:
return 0.0
intersection_area = (x_right - x_left) * (y_top - y_bottom)
return intersection_area
def bbox_area(bb) -> float:
"""Returns area of the bounding box of a PDFMiner object.
Parameters
----------
bb : PDFMiner text object
Returns
-------
area : float
Area of the bounding box of the object
"""
return (bb.x1 - bb.x0) * (bb.y1 - bb.y0)
def bbox_intersect(ba, bb) -> bool:
"""Returns True if the bounding boxes of two PDFMiner objects intersect.
Parameters
----------
ba : PDFMiner text object
bb : PDFMiner text object
Returns
-------
overlaps : bool
True if the bounding boxes intersect
"""
return ba.x1 >= bb.x0 and bb.x1 >= ba.x0 and ba.y1 >= bb.y0 and bb.y1 >= ba.y0
def bbox_longer(ba, bb) -> bool:
"""Returns True if the bounding box of the first PDFMiner object is longer or equal to the second.
Parameters
----------
ba : PDFMiner text object
bb : PDFMiner text object
Returns
-------
longer : bool
True if the bounding box of the first object is longer or equal
"""
return (ba.x1 - ba.x0) >= (bb.x1 - bb.x0)
return t_bbox
def merge_close_lines(ar, line_tol=2):
@@ -501,7 +423,7 @@ def text_strip(text, strip=""):
return text
stripped = re.sub(
fr"[{''.join(map(re.escape, strip))}]", "", text, flags=re.UNICODE
r"[{}]".format("".join(map(re.escape, strip))), "", text, re.UNICODE
)
return stripped
@@ -738,7 +660,9 @@ def get_table_index(
text_range = (t.x0, t.x1)
col_range = (table.cols[0][0], table.cols[-1][1])
warnings.warn(
f"{text} {text_range} does not lie in column range {col_range}"
"{} {} does not lie in column range {}".format(
text, text_range, col_range
)
)
r_idx = r
c_idx = lt_col_overlap.index(max(lt_col_overlap))
@@ -870,7 +794,7 @@ def get_page_layout(
parser = PDFParser(f)
document = PDFDocument(parser)
if not document.is_extractable:
raise PDFTextExtractionNotAllowed(f"Text extraction is not allowed: {filename}")
raise PDFTextExtractionNotAllowed
laparams = LAParams(
char_margin=char_margin,
line_margin=line_margin,
+1 -1
View File
@@ -63,7 +63,7 @@ master_doc = 'index'
# General information about the project.
project = u'Camelot'
copyright = u'2020, Camelot Developers'
copyright = u'2019, Camelot Developers'
author = u'Vinayak Mehta'
# The version info for the project you're documenting, acts as replacement for
+1 -1
View File
@@ -37,7 +37,7 @@ Setting up a development environment
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::
+20 -21
View File
@@ -33,18 +33,15 @@ Release v\ |version|. (:ref:`Installation <install>`)
.. 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 can help you extract tables from PDFs!
.. note:: You can also check out `Excalibur`_, the web interface to Camelot!
.. note:: You can also check out `Excalibur`_, which is a web interface for Camelot!
.. _Excalibur: https://github.com/camelot-dev/excalibur
----
**Here's how you can extract tables from PDFs.** You can check out the PDF used in this example `here`_.
**Here's how you can extract tables from PDF files.** Check out the PDF used in this example `here`_.
.. _here: _static/pdf/foo.pdf
@@ -70,7 +67,7 @@ Release v\ |version|. (:ref:`Installation <install>`)
.. csv-table::
:file: _static/csv/foo.csv
Camelot also comes packaged with a :ref:`command-line interface <cli>`!
There's a :ref:`command-line interface <cli>` too!
.. note:: Camelot only works with text-based PDFs and not scanned documents. (As Tabula `explains`_, "If you can click and drag to select text in your table in a PDF viewer, then your PDF is text-based".)
@@ -79,27 +76,27 @@ Camelot also comes packaged with a :ref:`command-line interface <cli>`!
Why Camelot?
------------
- **Configurability**: Camelot gives you control over the table extraction process with its :ref:`tweakable settings <advanced>`.
- **Metrics**: Bad tables can be discarded based on metrics like accuracy and whitespace, without having to manually look at each table.
- **Output**: Each table is extracted into a **pandas DataFrame**, which seamlessly integrates into `ETL and data analysis workflows`_. You can also export tables to multiple formats, which include CSV, JSON, Excel, HTML and Sqlite.
- **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.
- Each table is a **pandas DataFrame**, which seamlessly integrates into `ETL and data analysis workflows`_.
- **Export** to multiple formats, including JSON, Excel and HTML.
See `comparison with other PDF table extraction libraries and tools`_.
.. _ETL and data analysis workflows: https://gist.github.com/vinayak-mehta/e5949f7c2410a0e12f25d3682dc9e873
.. _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
See `comparison with similar libraries and tools`_.
Support us on OpenCollective
----------------------------
.. _comparison with similar libraries and tools: https://github.com/camelot-dev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools
If Camelot helped you extract tables from PDFs, please consider supporting its development by `becoming a backer or a sponsor on OpenCollective`_!
Support the development
-----------------------
If Camelot has helped you, please consider supporting its development with a one-time or monthly donation `on OpenCollective`_!
.. _on OpenCollective: https://opencollective.com/camelot
.. _becoming a backer or a sponsor on OpenCollective: https://opencollective.com/camelot
The User Guide
--------------
This part of the documentation begins with some background information about why Camelot was created, takes you through some implementation details, and then focuses on step-by-step instructions for getting the most out of Camelot.
This part of the documentation begins with some background information about why Camelot was created, takes a small dip into the implementation details and then focuses on step-by-step instructions for getting the most out of Camelot.
.. toctree::
:maxdepth: 2
@@ -115,7 +112,8 @@ This part of the documentation begins with some background information about why
The API Documentation/Guide
---------------------------
If you are looking for information on a specific function, class, or method, this part of the documentation is for you.
If you are looking for information on a specific function, class, or method,
this part of the documentation is for you.
.. toctree::
:maxdepth: 2
@@ -125,7 +123,8 @@ If you are looking for information on a specific function, class, or method, thi
The Contributor Guide
---------------------
If you want to contribute to the project, this part of the documentation is for you.
If you want to contribute to the project, this part of the documentation is for
you.
.. toctree::
:maxdepth: 2
+20 -10
View File
@@ -66,7 +66,8 @@ Let's plot all the text present on the table's PDF page.
::
>>> camelot.plot(tables[0], kind='text').show()
>>> camelot.plot(tables[0], kind='text')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -92,7 +93,8 @@ Let's plot the table (to see if it was detected correctly or not). This plot typ
::
>>> camelot.plot(tables[0], kind='grid').show()
>>> camelot.plot(tables[0], kind='grid')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -116,7 +118,8 @@ Now, let's plot all table boundaries present on the table's PDF page.
::
>>> camelot.plot(tables[0], kind='contour').show()
>>> camelot.plot(tables[0], kind='contour')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -138,7 +141,8 @@ Cool, let's plot all line segments present on the table's PDF page.
::
>>> camelot.plot(tables[0], kind='line').show()
>>> camelot.plot(tables[0], kind='line')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -160,7 +164,8 @@ Finally, let's plot all line intersections present on the table's PDF page.
::
>>> camelot.plot(tables[0], kind='joint').show()
>>> camelot.plot(tables[0], kind='joint')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -182,7 +187,8 @@ You can also visualize the textedges found on a page by specifying ``kind='texte
::
>>> camelot.plot(tables[0], kind='textedge').show()
>>> camelot.plot(tables[0], kind='textedge')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -369,7 +375,8 @@ 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').show()
>>> camelot.plot(tables[0], kind='contour')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -389,7 +396,8 @@ To improve the detected area, you can increase the ``edge_tol`` (default: 50) va
::
>>> tables = camelot.read_pdf('edge_tol.pdf', flavor='stream', edge_tol=500)
>>> camelot.plot(tables[0], kind='contour').show()
>>> camelot.plot(tables[0], kind='contour')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
@@ -464,7 +472,8 @@ Let's plot the table for this PDF.
::
>>> tables = camelot.read_pdf('short_lines.pdf')
>>> camelot.plot(tables[0], kind='grid').show()
>>> camelot.plot(tables[0], kind='grid')
>>> plt.show()
.. figure:: ../_static/png/short_lines_1.png
:alt: A plot of the PDF table with short lines
@@ -475,7 +484,8 @@ Clearly, the smaller lines separating the headers, couldn't be detected. Let's t
::
>>> tables = camelot.read_pdf('short_lines.pdf', line_scale=40)
>>> camelot.plot(tables[0], kind='grid').show()
>>> camelot.plot(tables[0], kind='grid')
>>> plt.show()
.. tip::
Here's how you can do the same with the :ref:`command-line interface <cli>`.
+2 -2
View File
@@ -16,11 +16,11 @@ Stream can be used to parse tables that have whitespaces between cells to simula
1. Words on the PDF page are grouped into text rows based on their *y* axis overlaps.
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 <https://pdfs.semanticscholar.org/a9b1/67a86fb189bfcd366c3839f33f0404db9c10.pdf>`_ to know more about this table detection technique. [See pages 20, 35 and 40]
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]
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.
4. Words that lie inside/outside the current column *x* ranges are then used to extend the current list of columns.
4. Words that lie inside/outside the current column *x* ranges are then used to extend 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.
+48 -35
View File
@@ -3,59 +3,72 @@
Installation of dependencies
============================
The dependencies `Ghostscript <https://www.ghostscript.com>`_ and `Tkinter <https://wiki.python.org/moin/TkInter>`_ can be installed using your system's package manager or by running their installer.
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
------------------------
Ubuntu
^^^^^^
For Ubuntu
^^^^^^^^^^
::
$ apt install ghostscript python3-tk
$ apt install python-tk ghostscript
MacOS
^^^^^
Or for Python 3::
$ apt install python3-tk ghostscript
For macOS
^^^^^^^^^
::
$ brew install ghostscript tcl-tk
$ brew install tcl-tk ghostscript
Windows
^^^^^^^
For Windows
^^^^^^^^^^^
For Ghostscript, you can get the installer at their `downloads page <https://www.ghostscript.com/download/gsdnld.html>`_. And for Tkinter, you can download the `ActiveTcl Community Edition <https://www.activestate.com/activetcl/downloads>`_ from ActiveState.
For Tkinter, you can download the `ActiveTcl Community Edition`_ from ActiveState. For ghostscript, you can get the installer at the `ghostscript downloads page`_.
Checks to see if dependencies are installed correctly
-----------------------------------------------------
.. _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 run the following checks to see if the dependencies were installed correctly.
Checks to see if dependencies were installed correctly
------------------------------------------------------
For Ghostscript
^^^^^^^^^^^^^^^
Open the Python REPL and run the following:
For Ubuntu/MacOS::
>>> from ctypes.util import find_library
>>> find_library("gs")
"libgs.so.9"
For Windows::
>>> from ctypes.util import find_library
>>> find_library("".join(("gsdll", str(ctypes.sizeof(ctypes.c_voidp) * 8), ".dll"))
<name-of-ghostscript-library-on-windows>
**Check:** The output of the ``find_library`` function should not be empty.
If the output is empty, then it's possible that the Ghostscript library is not available one of the ``LD_LIBRARY_PATH``/``DYLD_LIBRARY_PATH``/``PATH`` variables depending on your operating system. In this case, you may have to modify one of those path variables.
You can do the following checks to see if the dependencies were installed correctly.
For Tkinter
^^^^^^^^^^^
Launch Python and then import Tkinter::
Launch Python, and then at the prompt, type::
>>> import Tkinter
Or in Python 3::
>>> import tkinter
**Check:** Importing ``tkinter`` should not raise an import error.
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.
+23 -16
View File
@@ -5,35 +5,42 @@ Installation of Camelot
This part of the documentation covers the steps to install Camelot.
After :ref:`installing the dependencies <install_deps>`, which include `Ghostscript <https://www.ghostscript.com>`_ and `Tkinter <https://wiki.python.org/moin/TkInter>`_, you can use one of the following methods to install Camelot:
Using conda
-----------
.. warning:: The ``lattice`` flavor will fail to run if Ghostscript is not installed. You may run into errors as shown in `issue #193 <https://github.com/camelot-dev/camelot/issues/193>`_.
pip
---
To install Camelot from PyPI using ``pip``, please include the extra ``cv`` requirement as shown::
$ pip install "camelot-py[cv]"
conda
-----
`conda`_ is a package manager and environment management system for the `Anaconda <https://anaconda.org>`_ distribution. It can be used to install Camelot from the ``conda-forge`` channel::
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.
::
$ conda install -c conda-forge camelot-py
.. 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`_.
.. _conda: https://conda.io/docs/
.. _Anaconda: http://docs.continuum.io/anaconda/
.. _downloads page: https://www.ghostscript.com/download/gsdnld.html
.. _conda-forge: https://conda-forge.org/
Using pip
---------
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
.. _ghostscript: https://www.ghostscript.com
From the source code
--------------------
After :ref:`installing the dependencies <install_deps>`, you can install Camelot from source by:
After :ref:`installing the dependencies <install_deps>`, you can install from the source by:
1. Cloning the GitHub repository.
::
$ git clone https://www.github.com/camelot-dev/camelot
2. And then simply using pip again.
2. Then simply using pip again.
::
$ cd camelot
+8
View File
@@ -0,0 +1,8 @@
click>=6.7
matplotlib>=2.2.3
numpy>=1.13.3
opencv-python>=3.4.2.17
openpyxl>=2.5.8
pandas>=0.23.4
pdfminer.six>=20170720
PyPDF2>=1.26.0
+12 -16
View File
@@ -19,7 +19,7 @@ requires = [
'numpy>=1.13.3',
'openpyxl>=2.5.8',
'pandas>=0.23.4',
'pdfminer.six>=20200726',
'pdfminer.six>=20170720',
'PyPDF2>=1.26.0'
]
@@ -27,24 +27,20 @@ cv_requires = [
'opencv-python>=3.4.2.17'
]
ocr_requires = [
'easyocr>=1.1.10'
]
plot_requires = [
'matplotlib>=2.2.3',
]
dev_requires = [
'codecov>=2.0.15',
'pytest>=5.4.3',
'pytest-cov>=2.10.0',
'pytest-mpl>=0.11',
'pytest-runner>=5.2',
'Sphinx>=3.1.2'
'pytest>=3.8.0',
'pytest-cov>=2.6.0',
'pytest-mpl>=0.10',
'pytest-runner>=4.2',
'Sphinx>=1.7.9'
]
all_requires = cv_requires + ocr_requires + plot_requires
all_requires = cv_requires + plot_requires
dev_requires = dev_requires + all_requires
@@ -61,11 +57,10 @@ def setup_package():
packages=find_packages(exclude=('tests',)),
install_requires=requires,
extras_require={
'cv': cv_requires,
'ocr': ocr_requires,
'plot': plot_requires,
'all': all_requires,
'cv': cv_requires,
'dev': dev_requires,
'plot': plot_requires
},
entry_points={
'console_scripts': [
@@ -76,9 +71,10 @@ def setup_package():
# Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8'
'Programming Language :: Python :: 3.7'
])
try:
+1 -2
View File
@@ -1,3 +1,2 @@
import matplotlib
matplotlib.use("agg")
matplotlib.use('agg')
+67 -55
View File
@@ -1,7 +1,19 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
data_stream = [
[
"",
"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", "", "", ""],
@@ -817,6 +829,18 @@ data_stream_table_rotated = [
]
data_stream_two_tables_1 = [
[
"[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",
"",
@@ -891,7 +915,7 @@ data_stream_two_tables_1 = [
"2,330 .9",
],
[
"Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n . .",
"Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n . .",
"467 .9",
"69 .1",
"398 .8",
@@ -1276,10 +1300,29 @@ data_stream_two_tables_1 = [
"",
"",
],
[
"",
"Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.",
"",
"",
"",
"",
"",
"",
"",
"",
],
]
data_stream_two_tables_2 = [
[
"",
"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",
@@ -1309,7 +1352,7 @@ data_stream_two_tables_2 = [
"123,656",
],
[
"Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .",
"Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .",
"456,965",
"268,346",
"177,766",
@@ -1557,9 +1600,16 @@ data_stream_two_tables_2 = [
"3,950",
],
["1 Except forcible rape and prostitution.", "", "", "", "", ""],
[
"",
"Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,",
"",
"",
"",
"",
],
]
data_stream_table_areas = [
["", "One Withholding"],
["Payroll Period", "Allowance"],
@@ -1726,7 +1776,18 @@ data_stream_columns = [
]
data_stream_split_text = [
["FEB", "RUAR", "Y 2014 M27 (BUS)", "", "", "", "", "", "", ""],
[
"FEB",
"RUAR",
"Y 2014 M27 (BUS)",
"",
"ALPHABETIC LISTING BY T",
"YPE",
"",
"",
"",
"ABLPDM27",
],
["", "", "", "", "OF ACTIVE LICENSES", "", "", "", "", "3/19/2014"],
["", "", "", "", "OKLAHOMA ABLE COMMIS", "SION", "", "", "", ""],
["LICENSE", "", "", "", "PREMISE", "", "", "", "", ""],
@@ -2060,7 +2121,6 @@ data_stream_split_text = [
],
]
data_stream_flag_size = [
[
"States",
@@ -2760,7 +2820,7 @@ data_arabic = [
]
data_stream_layout_kwargs = [
["V i n s a u V e r r e", ""],
["V i n s a u Ve r r e", ""],
["Les Blancs", "12.5CL"],
["A.O.P Côtes du Rhône", ""],
["Domaine de la Guicharde « Autour de la chapelle » 2016", "8 €"],
@@ -2798,51 +2858,3 @@ data_stream_layout_kwargs = [
["A.O.P Cornas", ""],
["Domaine Lionnet « Terre Brûlée » 2012", "15 €"],
]
data_stream_duplicated_text = [
['', '2012 BETTER VARIETIES Harvest Report for Minnesota Central [ MNCE ]', '', '', '', '', '', '', '', '',
'ALL SEASON TEST'],
['', 'Doug Toreen, Renville County, MN 55310 [ BIRD ISLAND ]', '', '', '', '', '', '', '', '',
'1.3 - 2.0 MAT. GROUP'],
['PREV. CROP/HERB:', 'Corn / Surpass, Roundup', '', '', '', '', '', '', '', '', 'S2MNCE01'],
['SOIL DESCRIPTION:', '', 'Canisteo clay loam, mod. well drained, non-irrigated', '', '', '', '', '', '', '', ''],
['SOIL CONDITIONS:', '', 'High P, high K, 6.7 pH, 3.9% OM, Low SCN', '', '', '', '', '', '', '', '30" ROW SPACING'],
['TILLAGE/CULTIVATION:', 'conventional w/ fall till', '', '', '', '', '', '', '', '', ''],
['PEST MANAGEMENT:', 'Roundup twice', '', '', '', '', '', '', '', '', ''],
['SEEDED - RATE:', 'May 15', '140 000 /A', '', '', '', '', '', '', 'TOP 30 for YIELD of 63 TESTED', ''],
['HARVESTED - STAND:', 'Oct 3', '122 921 /A', '', '', '', '', '', '', 'AVERAGE of (3) REPLICATIONS', ''],
['', '', '', '', 'SCN', 'Seed', 'Yield', 'Moisture', 'Lodging', 'Stand', 'Gross'],
['Company/Brand', 'Product/Brand†', 'Technol.†', 'Mat.', 'Resist.', 'Trmt.†', 'Bu/A', '%', '%', '(x 1000)',
'Income'], ['Kruger', 'K2 1901', 'RR2Y', '1.9', 'R', 'Ac,PV', '56.4', '7.6', '0', '126.3', '$846'],
['Stine', '19RA02 §', 'RR2Y', '1.9', 'R', 'CMB', '55.3', '7.6', '0', '120.0', '$830'],
['Wensman', 'W 3190NR2', 'RR2Y', '1.9', 'R', 'Ac', '54.5', '7.6', '0', '119.5', '$818'],
['Hefty', 'H17Y12', 'RR2Y', '1.7', 'MR', 'I', '53.7', '7.7', '0', '124.4', '$806'],
['Dyna-Gro', 'S15RY53', 'RR2Y', '1.5', 'R', 'Ac', '53.6', '7.7', '0', '126.8', '$804'],
['LG Seeds', 'C2050R2', 'RR2Y', '2.1', 'R', 'Ac', '53.6', '7.7', '0', '123.9', '$804'],
['Titan Pro', '19M42', 'RR2Y', '1.9', 'R', 'CMB', '53.6', '7.7', '0', '121.0', '$804'],
['Stine', '19RA02 (2) §', 'RR2Y', '1.9', 'R', 'CMB', '53.4', '7.7', '0', '123.9', '$801'],
['Asgrow', 'AG1832 §', 'RR2Y', '1.8', 'MR', 'Ac,PV', '52.9', '7.7', '0', '122.0', '$794'],
['Prairie Brand', 'PB-1566R2', 'RR2Y', '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 Pro', '20M1', 'RR2Y', '2.0', 'R', 'Am', '52.5', '7.5', '0', '124.4', '$788'],
['Kruger', 'K2-2002', 'RR2Y', '2.0', 'R', 'Ac,PV', '52.4', '7.9', '0', '125.4', '$786'],
['Channel', '1700R2', 'RR2Y', '1.7', 'R', 'Ac,PV', '52.3', '7.9', '0', '123.9', '$784'],
['Hefty', 'H16Y11', 'RR2Y', '1.6', 'MR', 'I', '51.4', '7.6', '0', '123.9', '$771'],
['Anderson', '162R2Y', 'RR2Y', '1.6', 'R', 'None', '51.3', '7.5', '0', '119.5', '$770'],
['Titan Pro', '15M22', 'RR2Y', '1.5', 'R', 'CMB', '51.3', '7.8', '0', '125.4', '$769'],
['Dairyland', 'DSR-1710R2Y', 'RR2Y', '1.7', 'R', 'CMB', '51.3', '7.7', '0', '122.0', '$769'],
['Hefty', 'H20R3', 'RR2Y', '2.0', 'MR', 'I', '50.5', '8.2', '0', '121.0', '$757'],
['Prairie Brand', 'PB 1743R2', 'RR2Y', '1.7', 'R', 'CMB', '50.2', '7.7', '0', '125.8', '$752'],
['Gold Country', '1741', 'RR2Y', '1.7', 'R', 'Ac', '50.1', '7.8', '0', '123.9', '$751'],
['Trelay', '20RR43', 'RR2Y', '2.0', 'R', 'Ac,Ex', '49.9', '7.6', '0', '127.8', '$749'],
['Hefty', 'H14R3', 'RR2Y', '1.4', 'MR', 'I', '49.7', '7.7', '0', '122.9', '$746'],
['Prairie Brand', 'PB-2099NRR2', 'RR2Y', '2.0', 'R', 'CMB', '49.6', '7.8', '0', '126.3', '$743'],
['Wensman', 'W 3174NR2', 'RR2Y', '1.7', 'R', 'Ac', '49.3', '7.6', '0', '122.5', '$740'],
['Kruger', 'K2 1602', 'RR2Y', '1.6', 'R', 'Ac,PV', '48.7', '7.6', '0', '125.4', '$731'],
['NK Brand', 'S18-C2 §', 'RR2Y', '1.8', 'R', 'CMB', '48.7', '7.7', '0', '126.8', '$731'],
['Kruger', 'K2 1902', 'RR2Y', '1.9', 'R', 'Ac,PV', '48.7', '7.5', '0', '124.4', '$730'],
['Prairie Brand', 'PB-1823R2', 'RR2Y', '1.8', 'R', 'None', '48.5', '7.6', '0', '121.0', '$727'],
['Gold Country', '1541', 'RR2Y', '1.5', 'R', 'Ac', '48.4', '7.6', '0', '110.4', '$726'],
['', '', '', '', '', 'Test Average =', '47.6', '7.7', '0', '122.9', '$713'],
['', '', '', '', '', 'LSD (0.10) =', '5.7', '0.3', 'ns', '37.8', '566.4']
]
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+7 -11
View File
@@ -114,35 +114,31 @@ def test_cli_password():
def test_cli_output_format():
with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, "health.pdf")
outfile = os.path.join(tempdir, "health.{}")
runner = CliRunner()
# json
outfile = os.path.join(tempdir, "health.json")
result = runner.invoke(
cli,
["--format", "json", "--output", outfile, "stream", infile],
["--format", "json", "--output", outfile.format("json"), "stream", infile],
)
assert result.exit_code == 0
# excel
outfile = os.path.join(tempdir, "health.xlsx")
result = runner.invoke(
cli,
["--format", "excel", "--output", outfile, "stream", infile],
["--format", "excel", "--output", outfile.format("xlsx"), "stream", infile],
)
assert result.exit_code == 0
# html
outfile = os.path.join(tempdir, "health.html")
result = runner.invoke(
cli,
["--format", "html", "--output", outfile, "stream", infile],
["--format", "html", "--output", outfile.format("html"), "stream", infile],
)
assert result.exit_code == 0
# zip
outfile = os.path.join(tempdir, "health.csv")
result = runner.invoke(
cli,
[
@@ -150,7 +146,7 @@ def test_cli_output_format():
"--format",
"csv",
"--output",
outfile,
outfile.format("csv"),
"stream",
infile,
],
@@ -160,8 +156,8 @@ def test_cli_output_format():
def test_cli_quiet():
with TemporaryDirectory() as tempdir:
infile = os.path.join(testdir, "empty.pdf")
outfile = os.path.join(tempdir, "empty.csv")
infile = os.path.join(testdir, "blank.pdf")
outfile = os.path.join(tempdir, "blank.csv")
runner = CliRunner()
result = runner.invoke(
+21 -46
View File
@@ -3,11 +3,9 @@
import os
import pandas as pd
from pandas.testing import assert_frame_equal
import camelot
from camelot.core import Table, TableList
from camelot.__version__ import generate_version
from .data import *
@@ -28,10 +26,10 @@ def test_password():
filename = os.path.join(testdir, "health_protected.pdf")
tables = camelot.read_pdf(filename, password="ownerpass", flavor="stream")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
tables = camelot.read_pdf(filename, password="userpass", flavor="stream")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream():
@@ -39,7 +37,7 @@ def test_stream():
filename = os.path.join(testdir, "health.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_table_rotated():
@@ -47,11 +45,11 @@ def test_stream_table_rotated():
filename = os.path.join(testdir, "clockwise_table_2.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
filename = os.path.join(testdir, "anticlockwise_table_2.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_two_tables():
@@ -73,7 +71,7 @@ def test_stream_table_regions():
tables = camelot.read_pdf(
filename, flavor="stream", table_regions=["320,460,573,335"]
)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_table_areas():
@@ -83,7 +81,7 @@ def test_stream_table_areas():
tables = camelot.read_pdf(
filename, flavor="stream", table_areas=["320,500,573,335"]
)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_columns():
@@ -93,7 +91,7 @@ def test_stream_columns():
tables = camelot.read_pdf(
filename, flavor="stream", columns=["67,180,230,425,475"], row_tol=10
)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_split_text():
@@ -106,7 +104,7 @@ def test_stream_split_text():
columns=["72,95,209,327,442,529,566,606,683"],
split_text=True,
)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_flag_size():
@@ -114,7 +112,7 @@ def test_stream_flag_size():
filename = os.path.join(testdir, "superscript.pdf")
tables = camelot.read_pdf(filename, flavor="stream", flag_size=True)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_stream_strip_text():
@@ -122,7 +120,7 @@ def test_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)
assert df.equals(tables[0].df)
def test_stream_edge_tol():
@@ -130,7 +128,7 @@ def test_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)
assert df.equals(tables[0].df)
def test_stream_layout_kwargs():
@@ -140,7 +138,7 @@ def test_stream_layout_kwargs():
tables = camelot.read_pdf(
filename, flavor="stream", layout_kwargs={"detect_vertical": False}
)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_lattice():
@@ -150,7 +148,7 @@ def test_lattice():
testdir, "tabula/icdar2013-dataset/competition-dataset-us/us-030.pdf"
)
tables = camelot.read_pdf(filename, pages="2")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_lattice_table_rotated():
@@ -158,11 +156,11 @@ def test_lattice_table_rotated():
filename = os.path.join(testdir, "clockwise_table_1.pdf")
tables = camelot.read_pdf(filename)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
filename = os.path.join(testdir, "anticlockwise_table_1.pdf")
tables = camelot.read_pdf(filename)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_lattice_two_tables():
@@ -181,7 +179,7 @@ def test_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)
assert df.equals(tables[0].df)
def test_lattice_table_areas():
@@ -189,7 +187,7 @@ def test_lattice_table_areas():
filename = os.path.join(testdir, "twotables_2.pdf")
tables = camelot.read_pdf(filename, table_areas=["80,693,535,448"])
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_lattice_process_background():
@@ -197,7 +195,7 @@ def test_lattice_process_background():
filename = os.path.join(testdir, "background_lines_1.pdf")
tables = camelot.read_pdf(filename, process_background=True)
assert_frame_equal(df, tables[1].df)
assert df.equals(tables[1].df)
def test_lattice_copy_text():
@@ -205,7 +203,7 @@ def test_lattice_copy_text():
filename = os.path.join(testdir, "row_span_1.pdf")
tables = camelot.read_pdf(filename, line_scale=60, copy_text="v")
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_lattice_shift_text():
@@ -273,7 +271,7 @@ def test_arabic():
filename = os.path.join(testdir, "tabula/arabic.pdf")
tables = camelot.read_pdf(filename)
assert_frame_equal(df, tables[0].df)
assert df.equals(tables[0].df)
def test_table_order():
@@ -299,26 +297,3 @@ def test_table_order():
(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"
)
def test_stream_duplicated_text():
df = pd.DataFrame(data_stream_duplicated_text)
filename = os.path.join(testdir, "birdisland.pdf")
tables = camelot.read_pdf(filename, flavor="stream")
assert_frame_equal(df, tables[0].df)
+30 -53
View File
@@ -10,111 +10,88 @@ import camelot
testdir = os.path.dirname(os.path.abspath(__file__))
testdir = os.path.join(testdir, "files")
filename = os.path.join(testdir, "foo.pdf")
filename = os.path.join(testdir, 'foo.pdf')
def test_unknown_flavor():
message = "Unknown flavor specified." " Use either 'lattice' or 'stream'"
message = ("Unknown flavor specified."
" Use either 'lattice' or 'stream'")
with pytest.raises(NotImplementedError, match=message):
tables = camelot.read_pdf(filename, flavor="chocolate")
tables = camelot.read_pdf(filename, flavor='chocolate')
def test_input_kwargs():
message = "columns cannot be used with flavor='lattice'"
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():
message = "File format not supported"
filename = os.path.join(testdir, "foo.csv")
message = 'File format not supported'
filename = os.path.join(testdir, 'foo.csv')
with pytest.raises(NotImplementedError, match=message):
tables = camelot.read_pdf(filename)
def test_stream_equal_length():
message = "Length of table_areas and columns" " should be equal"
message = ("Length of table_areas and columns"
" should be equal")
with pytest.raises(ValueError, match=message):
tables = camelot.read_pdf(
filename,
flavor="stream",
table_areas=["10,20,30,40"],
columns=["10,20,30,40", "10,20,30,40"],
)
tables = camelot.read_pdf(filename, 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")
filename = os.path.join(testdir, 'image.pdf')
with warnings.catch_warnings():
warnings.simplefilter("error")
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."
)
assert str(e.value) == 'page-1 is image-based, camelot only works on text-based pages.'
def test_lattice_no_tables_on_page():
filename = os.path.join(testdir, "empty.pdf")
def test_no_tables_found():
filename = os.path.join(testdir, 'blank.pdf')
with warnings.catch_warnings():
warnings.simplefilter("error")
warnings.simplefilter('error')
with pytest.raises(UserWarning) as e:
tables = camelot.read_pdf(filename, flavor="lattice")
assert str(e.value) == "No tables found on page-1"
def test_stream_no_tables_on_page():
filename = os.path.join(testdir, "empty.pdf")
with warnings.catch_warnings():
warnings.simplefilter("error")
with pytest.raises(UserWarning) as e:
tables = camelot.read_pdf(filename, flavor="stream")
assert str(e.value) == "No tables found on page-1"
def test_stream_no_tables_in_area():
filename = os.path.join(testdir, "only_page_number.pdf")
with warnings.catch_warnings():
warnings.simplefilter("error")
with pytest.raises(UserWarning) as e:
tables = camelot.read_pdf(filename, flavor="stream")
assert str(e.value) == "No tables found in table area 1"
tables = camelot.read_pdf(filename)
assert str(e.value) == 'No tables found on page-1'
def test_no_tables_found_logs_suppressed():
filename = os.path.join(testdir, "foo.pdf")
filename = os.path.join(testdir, 'foo.pdf')
with warnings.catch_warnings():
# the test should fail if any warning is thrown
warnings.simplefilter("error")
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}")
pytest.fail('Unexpected warning: {}'.format(warning_text))
def test_no_tables_found_warnings_suppressed():
filename = os.path.join(testdir, "empty.pdf")
filename = os.path.join(testdir, 'blank.pdf')
with warnings.catch_warnings():
# the test should fail if any warning is thrown
warnings.simplefilter("error")
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}")
pytest.fail('Unexpected warning: {}'.format(warning_text))
def test_no_password():
filename = os.path.join(testdir, "health_protected.pdf")
message = "file has not been decrypted"
filename = os.path.join(testdir, 'health_protected.pdf')
message = 'file has not been decrypted'
with pytest.raises(Exception, match=message):
tables = camelot.read_pdf(filename)
def test_bad_password():
filename = os.path.join(testdir, "health_protected.pdf")
message = "file has not been decrypted"
filename = os.path.join(testdir, 'health_protected.pdf')
message = 'file has not been decrypted'
with pytest.raises(Exception, match=message):
tables = camelot.read_pdf(filename, password="wrongpass")
tables = camelot.read_pdf(filename, password='wrongpass')
+23 -16
View File
@@ -11,50 +11,57 @@ 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)
@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")
return camelot.plot(tables[0], kind='text')
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
@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")
return camelot.plot(tables[0], kind='grid')
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
@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")
return camelot.plot(tables[0], kind='contour')
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
@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")
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)
@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")
return camelot.plot(tables[0], kind='line')
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
@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")
return camelot.plot(tables[0], kind='joint')
@pytest.mark.mpl_image_compare(baseline_dir="files/baseline_plots", remove_text=True)
@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")
tables = camelot.read_pdf(filename, flavor='stream')
return camelot.plot(tables[0], kind='textedge')