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Support for vertical tables in Stream

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* Change var names

* Add test pdf

* Add tests for Lattice rotation

* Add support for vertical tables in Stream, test pdfs

* Add tests for Stream rotation
This commit is contained in:
Vinayak Mehta
2016-09-15 20:51:59 +05:30
committed by GitHub
parent 8ce7b74671
commit 79afb45e2e
11 changed files with 222 additions and 50 deletions
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tests/agstat.pdf
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tests/left_rotated_table.pdf → tests/left_rotated_table_1.pdf
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tests/left_rotated_table_2.pdf
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tests/right_rotated_table.pdf → tests/right_rotated_table_1.pdf
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tests/right_rotated_table_2.pdf
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tests/test_lattice.py
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@@ -94,4 +94,74 @@ def test_lattice_invert():
pdfname = os.path.join(testdir, 'lines_in_background_1.pdf')
manager = Pdf(Lattice(invert=True), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables['page-1']['table-2']['data'], data)
assert_equal(tables['page-1']['table-2']['data'], data)
def test_lattice_table_rotation():
data = [
["State","Nutritional Assessment (No. of individuals)","","","","IYCF Practices (No. of mothers: 2011-12)","Blood Pressure (No. of adults: 2011-12)","","Fasting Blood Sugar (No. of adults:2011-12)",""],
["","1975-79","1988-90","1996-97","2011-12","","Men","Women","Men","Women"],
["Kerala","5738","6633","8864","8297","245","2161","3195","1645","2391"],
["Tamil Nadu","7387","10217","5813","7851","413","2134","2858","1119","1739"],
["Karnataka","6453","8138","12606","8958","428","2467","2894","1628","2028"],
["Andhra Pradesh","5844","9920","9545","8300","557","1899","2493","1111","1529"],
["Maharashtra","5161","7796","6883","9525","467","2368","2648","1417","1599"],
["Gujarat","4403","5374","4866","9645","477","2687","3021","2122","2503"],
["Madhya Pradesh","*","*","*","7942","470","1965","2150","1579","1709"],
["Orissa","3756","5540","12024","8473","398","2040","2624","1093","1628"],
["West Bengal","*","*","*","8047","423","2058","2743","1413","2027"],
["Uttar Pradesh","*","*","*","9860","581","2139","2415","1185","1366"],
["Pooled","38742","53618","60601","86898","4459","21918","27041","14312","18519"]
]
pdfname = os.path.join(testdir, 'left_rotated_table_1.pdf')
manager = Pdf(Lattice(), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables['page-1']['table-1']['data'], data)
pdfname = os.path.join(testdir, 'right_rotated_table_1.pdf')
manager = Pdf(Lattice(), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables['page-1']['table-1']['data'], data)
def test_lattice_cell_rotation():
data = [
["Sl.No.","District","Projected Population for 2012-13(In lakhs)","Adult Equivalent to 88%(In lakhs)","Total Consumptionrequirement(@ 400gms/adult/day)(In Lakh tonnes)","Total Requirement(Including seeds, feeds & wastage)(In Lakh tonnes)","Production (Rice)(In Lakh tonnes)","","","Surplus/Defi cit(In Lakh tonnes)",""],
["","","","","","","Kharif","Rabi","Total","Rice","Paddy"],
["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","Sundargarh","21.21","18.66","2.72","3.11","4.72","0.02","4.74","1.63","2.43"],
["ODISHA","","427.80","376.49","54.99","62.86","86.29","8.68","94.97","32.11","47.92"]
]
pdfname = os.path.join(testdir, 'agstat.pdf')
manager = Pdf(Lattice(), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables['page-1']['table-1']['data'], data)
tests/test_stream.py
+57 -4
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@@ -81,11 +81,11 @@ def test_stream_missing_value():
["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","","",""],
["Chronic Illness :Any person with symptoms persisting for longer than one month is defined as suffering from chronic illness","","","",""],
["4","","","",""]
]
pdfname = os.path.join(testdir, "missing_values.pdf")
manager = Pdf(Stream(margins=(1.0, 0.5, 0.1)), pdfname, clean=True)
manager = Pdf(Stream(), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables["page-1"]["table-1"]["data"], data)
@@ -106,8 +106,7 @@ def test_stream_single_table_area():
["(each day of the payroll period)",""]
]
pdfname = os.path.join(testdir, "tabula_test_pdfs/us-007.pdf")
manager = Pdf(Stream(table_area=["320,500,573,335"], ytol=[10],
margins=(1.0, 0.5, 0.1)),
manager = Pdf(Stream(table_area=["320,500,573,335"]),
pdfname, pagenos=[{"start": 1, "end": 1}], clean=True)
tables = manager.extract()
assert_equal(tables["page-1"]["table-1"]["data"], data)
@@ -164,4 +163,58 @@ def test_stream_columns():
manager = Pdf(Stream(columns=["28,67,180,230,425,475,700"], ytol=[10]), pdfname,
clean=True)
tables = manager.extract()
assert_equal(tables["page-1"]["table-1"]["data"], data)
def test_stream_table_rotation():
data = [
["Table 21 Current use of contraception by background characteristics—Continued","","","","","","","","","","","","","","","",""],
["","","","","","Modern method","","","","","","","Traditional method","","","",""],
["","","Any","","","","","","","Other","Any","","","","Not","","Number"],
["","Any","modern","Female","Male","","","","Condom/","modern","traditional","","With-","Folk","currently","","of"],
["Background characteristic","method","method","sterilization","sterilization","Pill","IUD","Injectables","Nirodh","method","method","Rhythm","drawal","method","using","Total","women"],
["Caste/tribe","","","","","","","","","","","","","","","",""],
["Scheduled caste","74.8","55.8","42.9","0.9","9.7","0.0","0.2","2.2","0.0","19.0","11.2","7.4","0.4","25.2","100.0","1,363"],
["Scheduled tribe","59.3","39.0","26.8","0.6","6.4","0.6","1.2","3.5","0.0","20.3","10.4","5.8","4.1","40.7","100.0","256"],
["Other backward class","71.4","51.1","34.9","0.0","8.6","1.4","0.0","6.2","0.0","20.4","12.6","7.8","0.0","28.6","100.0","211"],
["Other","71.1","48.8","28.2","0.8","13.3","0.9","0.3","5.2","0.1","22.3","12.9","9.1","0.3","28.9","100.0","3,319"],
["Wealth index","","","","","","","","","","","","","","","",""],
["Lowest","64.5","48.6","34.3","0.5","10.5","0.6","0.7","2.0","0.0","15.9","9.9","4.6","1.4","35.5","100.0","1,258"],
["Second","68.5","50.4","36.2","1.1","11.4","0.5","0.1","1.1","0.0","18.1","11.2","6.7","0.2","31.5","100.0","1,317"],
["Middle","75.5","52.8","33.6","0.6","14.2","0.4","0.5","3.4","0.1","22.7","13.4","8.9","0.4","24.5","100.0","1,018"],
["Fourth","73.9","52.3","32.0","0.5","12.5","0.6","0.2","6.3","0.2","21.6","11.5","9.9","0.2","26.1","100.0","908"],
["Highest","78.3","44.4","19.5","1.0","9.7","1.4","0.0","12.7","0.0","33.8","18.2","15.6","0.0","21.7","100.0","733"],
["Number of living children","","","","","","","","","","","","","","","",""],
["No children","25.1","7.6","0.3","0.5","2.0","0.0","0.0","4.8","0.0","17.5","9.0","8.5","0.0","74.9","100.0","563"],
["1 child","66.5","32.1","3.7","0.7","20.1","0.7","0.1","6.9","0.0","34.3","18.9","15.2","0.3","33.5","100.0","1,190"],
["1 son","66.8","33.2","4.1","0.7","21.1","0.5","0.3","6.6","0.0","33.5","21.2","12.3","0.0","33.2","100.0","672"],
["No sons","66.1","30.7","3.1","0.6","18.8","0.8","0.0","7.3","0.0","35.4","15.8","19.0","0.6","33.9","100.0","517"],
["2 children","81.6","60.5","41.8","0.9","11.6","0.8","0.3","4.8","0.2","21.1","12.2","8.3","0.6","18.4","100.0","1,576"],
["1 or more sons","83.7","64.2","46.4","0.9","10.8","0.8","0.4","4.8","0.1","19.5","11.1","7.6","0.7","16.3","100.0","1,268"],
["No sons","73.2","45.5","23.2","1.0","15.1","0.9","0.0","4.8","0.5","27.7","16.8","11.0","0.0","26.8","100.0","308"],
["3 children","83.9","71.2","57.7","0.8","9.8","0.6","0.5","1.8","0.0","12.7","8.7","3.3","0.8","16.1","100.0","961"],
["1 or more sons","85.0","73.2","60.3","0.9","9.4","0.5","0.5","1.6","0.0","11.8","8.1","3.0","0.7","15.0","100.0","860"],
["No sons","74.7","53.8","35.3","0.0","13.7","1.6","0.0","3.2","0.0","20.9","13.4","6.1","1.5","25.3","100.0","101"],
["4+ children","74.3","58.1","45.1","0.6","8.7","0.6","0.7","2.4","0.0","16.1","9.9","5.4","0.8","25.7","100.0","944"],
["1 or more sons","73.9","58.2","46.0","0.7","8.3","0.7","0.7","1.9","0.0","15.7","9.4","5.5","0.8","26.1","100.0","901"],
["No sons","(82.1)","(57.3)","(25.6)","(0.0)","(17.8)","(0.0)","(0.0)","(13.9)","(0.0)","(24.8)","(21.3)","(3.5)","(0.0)","(17.9)","100.0","43"],
["Total","71.2","49.9","32.2","0.7","11.7","0.6","0.3","4.3","0.1","21.3","12.3","8.4","0.5","28.8","100.0","5,234"],
["NFHS-2 (1998-99)","66.6","47.3","32.0","1.8","9.2","1.4","na","2.9","na","na","8.7","9.8","na","33.4","100.0","4,116"],
["NFHS-1 (1992-93)","57.7","37.6","26.5","4.3","3.6","1.3","0.1","1.9","na","na","11.3","8.3","na","42.3","100.0","3,970"],
["","Note: If more than one method is used, only the most effective method is considered in this tabulation. Total includes women for whom caste/tribe was not known or is missing, who are","","","","","","","","","","","","","","",""],
["not shown separately.","","","","","","","","","","","","","","","",""],
["na = Not available","","","","","","","","","","","","","","","",""],
["","ns = Not shown; see table 2b, footnote 1","","","","","","","","","","","","","","",""],
["( ) Based on 25-49 unweighted cases.","","","","","","","","","","","","","","","",""],
["","","","","","","","54","","","","","","","","",""]
]
pdfname = os.path.join(testdir, "left_rotated_table_2.pdf")
manager = Pdf(Stream(), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables["page-1"]["table-1"]["data"], data)
pdfname = os.path.join(testdir, "right_rotated_table_2.pdf")
manager = Pdf(Stream(), pdfname, clean=True)
tables = manager.extract()
assert_equal(tables["page-1"]["table-1"]["data"], data)