diff --git a/camelot/utils.py b/camelot/utils.py index 2051c45..fec4bd3 100644 --- a/camelot/utils.py +++ b/camelot/utils.py @@ -1,6 +1,7 @@ # -*- coding: utf-8 -*- from __future__ import division +import re import os import sys import random @@ -405,6 +406,27 @@ def merge_close_lines(ar, line_tol=2): return ret +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( + r"[{}]".format("".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) @@ -456,10 +478,10 @@ def flag_font_size(textline, direction, strip_text=""): fchars = [t[0] for t in chars] if "".join(fchars).strip(): flist.append("".join(fchars)) - fstring = "".join(flist).strip(strip_text) + fstring = "".join(flist) else: - fstring = "".join([t.get_text() for t in textline]).strip(strip_text) - return fstring + fstring = "".join([t.get_text() for t in textline]) + return text_strip(fstring, strip_text) def split_textline(table, textline, direction, flag_size=False, strip_text=""): @@ -574,7 +596,9 @@ def split_textline(table, textline, direction, flag_size=False, strip_text=""): ) else: gchars = [t[2].get_text() for t in chars] - grouped_chars.append((key[0], key[1], "".join(gchars).strip(strip_text))) + grouped_chars.append( + (key[0], key[1], text_strip("".join(gchars), strip_text)) + ) return grouped_chars @@ -678,7 +702,7 @@ def get_table_index( error, ) else: - return [(r_idx, c_idx, t.get_text().strip(strip_text))], error + return [(r_idx, c_idx, text_strip(t.get_text(), strip_text))], error def compute_accuracy(error_weights): diff --git a/tests/data.py b/tests/data.py index 99527d5..3338a81 100755 --- a/tests/data.py +++ b/tests/data.py @@ -4,164 +4,1610 @@ from __future__ import unicode_literals data_stream = [ - ["", "Table: 5 Public Health Outlay 2012-13 (Budget Estimates) (Rs. in 000)", "", "", "", "", "", ""], + [ + "", + "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", "", "", ""], ["", "", "", "", "", "Capital", "", ""], ["", "Public", "Welfare", "Public", "Welfare", "", "", ""], ["", "Health", "", "Health", "", "", "", ""], - ["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"], + [ + "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"], + [ + "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"] + [ + "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", + ], ] data_stream_table_rotated = [ - ["Table 21 Current use of contraception by background characteristics\u2014Continued", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], - ["", "", "", "", "", "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"], + [ + "Table 21 Current use of contraception by background characteristics\u2014Continued", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "", + "", + "", + "", + "", + "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"], + [ + "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"], - 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["[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]", "", "", "", "", "", "", "", "", ""], + [ + "[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", ""], - ["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 .\n .\n . . . . . .\n . .\n . .\n . .\n . .\n . .\n . .\n . .\n . . .", "11,062 .6", "1,540 .0", "9,522 .6", "8,263 .3", "1,071 .6", "7,191 .7", "2,799 .2", "468 .3", "2,330 .9"], - ["Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n . .", "467 .9", "69 .1", "398 .8", "380 .2", "56 .5", "323 .7", "87 .7", "12 .6", "75 .2"], + [ + "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 .\n .\n . . . . . .\n . .\n . .\n . .\n . .\n . .\n . .\n . .\n . . .", + "11,062 .6", + "1,540 .0", + "9,522 .6", + "8,263 .3", + "1,071 .6", + "7,191 .7", + "2,799 .2", + "468 .3", + "2,330 .9", + ], + [ + "Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n . .", + "467 .9", + "69 .1", + "398 .8", + "380 .2", + "56 .5", + "323 .7", + "87 .7", + "12 .6", + "75 .2", + ], ["Murder and nonnegligent", "", "", "", "", "", "", "", "", ""], - ["manslaughter . . . . . . . .\n. .\n. .\n. .\n. .\n.", "10.0", "0.9", "9.1", "9.0", "0.9", "8.1", "1.1", "–", "1.0"], - ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "17.5", "2.6", "14.9", "17.2", "2.5", "14.7", "–", "–", "–"], - ["Robbery . . . .\n. .\n. . .\n. . .\n.\n. . .\n.\n. . .\n.\n.", "102.1", "25.5", "76.6", "90.0", "22.9", "67.1", "12.1", "2.5", "9.5"], - ["Aggravated assault . . . . . . . .\n. .\n. .\n.", "338.4", "40.1", "298.3", "264.0", "30.2", "233.8", "74.4", "9.9", "64.5"], - ["Property crime . . . .\n . .\n . . .\n . . .\n .\n . . . .", "1,396 .4", "338 .7", "1,057 .7", "875 .9", "210 .8", "665 .1", "608 .2", "127 .9", "392 .6"], - ["Burglary . .\n. . . . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.", "240.9", "60.3", "180.6", "205.0", "53.4", "151.7", "35.9", "6.9", "29.0"], - ["Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "1,080.1", "258.1", "822.0", "608.8", "140.5", "468.3", "471.3", "117.6", "353.6"], - ["Motor vehicle theft . . . . .\n. .\n. . .\n.\n.\n. .", "65.6", "16.0", "49.6", "53.9", "13.3", "40.7", "11.7", "2.7", "8.9"], - ["Arson .\n. . . . .\n. . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .", "9.8", "4.3", "5.5", "8.1", "3.7", "4.4", "1.7", "0.6", "1.1"], - ["Other assaults .\n. . . . . .\n. . .\n.\n. . .\n.\n. .\n.", "1,061.3", "175.3", "886.1", "785.4", "115.4", "670.0", "276.0", "59.9", "216.1"], - ["Forgery and counterfeiting .\n. . . . . . .\n.", "68.9", "1.7", "67.2", "42.9", "1.2", "41.7", "26.0", "0.5", "25.5"], - ["Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n.", "173.7", "5.1", "168.5", "98.4", "3.3", "95.0", "75.3", "1.8", "73.5"], - ["Embezzlement . . .\n. . . . .\n. . .\n.\n. . .\n.\n.\n.", "14.6", "–", "14.1", "7.2", "–", "6.9", "7.4", "–", "7.2"], - ["Stolen property 1 . . . . . . .\n. . .\n. .\n. .\n.\n.", "84.3", "15.1", "69.2", "66.7", "12.2", "54.5", "17.6", "2.8", "14.7"], - ["Vandalism . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", "217.4", "72.7", "144.7", "178.1", "62.8", "115.3", "39.3", "9.9", "29.4"], - ["Weapons; 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carrying, possessing, etc. .", + "132.9", + "27.1", + "105.8", + "122.1", + "24.3", + "97.8", + "10.8", + "2.8", + "8.0", + ], + [ + "Prostitution and commercialized vice", + "56.9", + "1.1", + "55.8", + "17.3", + "–", + "17.1", + "39.6", + "0.8", + "38.7", + ], + [ + "Sex offenses 2 . . . . .\n. . . . .\n. .\n. .\n. . .\n.", + "61.5", + "10.7", + "50.7", + "56.1", + "9.6", + "46.5", + "5.4", + "1.1", + "4.3", + ], + [ + "Drug abuse violations . . . . . . . .\n. .\n.\n.", + "1,333.0", + "136.6", + "1,196.4", + "1,084.3", + "115.2", + "969.1", + "248.7", + "21.4", + "227.3", + ], + [ + "Gambling .\n. . . . . .\n. .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.", + "8.2", + "1.4", + "6.8", + "7.2", + "1.4", + "5.9", + "0.9", + "–", + "0.9", + ], ["Offenses against the family and", "", "", "", "", "", "", "", "", ""], - ["children . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "92.4", "3.7", "88.7", "68.9", "2.4", "66.6", "23.4", "1.3", "22.1"], - ["Driving under the influence . . . . . .\n. .", "1,158.5", "109.2", "1,147.5", "895.8", "8.2", "887.6", "262.7", "2.7", "260.0"], - ["Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .", "48.2", "90.2", "368.0", "326.8", "55.4", "271.4", "131.4", "34.7", "96.6"], - ["Drunkenness . . .\n. . . . .\n. . .\n.\n. . .\n.\n. .\n.", "488.1", "11.4", "476.8", "406.8", "8.5", "398.3", "81.3", "2.9", "78.4"], - ["Disorderly conduct . .\n. . . . . . .\n. .\n. .\n. .", "529.5", "136.1", "393.3", "387.1", "90.8", "296.2", "142.4", "45.3", "97.1"], - ["Vagrancy . . . .\n. . . . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.", "26.6", "2.2", "24.4", "20.9", "1.6", "19.3", "5.7", "0.6", "5.1"], - ["All other offenses (except traffic) . . .\n.", "306.1", "263.4", "2,800.8", "2,337.1", "194.2", "2,142.9", "727.0", "69.2", "657.9"], - ["Suspicion . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "1.6", "–", "1.4", "1.2", "–", "1.0", "–", "–", "–"], - ["Curfew and loitering law violations .\n.", "91.0", "91.0", "(X)", "63.1", "63.1", "(X)", "28.0", "28.0", "(X)"], - ["Runaways . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", "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.", "", "", "", "", "", "", "", ""], - ["", "Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.", "", "", "", "", "", "", "", ""] + [ + "children . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", + "92.4", + "3.7", + "88.7", + "68.9", + "2.4", + "66.6", + "23.4", + "1.3", + "22.1", + ], + [ + "Driving under the influence . . . . . .\n. .", + "1,158.5", + "109.2", + "1,147.5", + "895.8", + "8.2", + "887.6", + "262.7", + "2.7", + "260.0", + ], + [ + "Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .", + "48.2", + "90.2", + "368.0", + "326.8", + "55.4", + "271.4", + "131.4", + "34.7", + "96.6", + ], + [ + "Drunkenness . . .\n. . . . .\n. . .\n.\n. . .\n.\n. .\n.", + "488.1", + "11.4", + "476.8", + "406.8", + "8.5", + "398.3", + "81.3", + "2.9", + "78.4", + ], + [ + "Disorderly conduct . .\n. . . . . . .\n. .\n. .\n. .", + "529.5", + "136.1", + "393.3", + "387.1", + "90.8", + "296.2", + "142.4", + "45.3", + "97.1", + ], + [ + "Vagrancy . . . .\n. . . . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.", + "26.6", + "2.2", + "24.4", + "20.9", + "1.6", + "19.3", + "5.7", + "0.6", + "5.1", + ], + [ + "All other offenses (except traffic) . . .\n.", + "306.1", + "263.4", + "2,800.8", + "2,337.1", + "194.2", + "2,142.9", + "727.0", + "69.2", + "657.9", + ], + [ + "Suspicion . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", + "1.6", + "–", + "1.4", + "1.2", + "–", + "1.0", + "–", + "–", + "–", + ], + [ + "Curfew and loitering law violations .\n.", + "91.0", + "91.0", + "(X)", + "63.1", + "63.1", + "(X)", + "28.0", + "28.0", + "(X)", + ], + [ + "Runaways . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", + "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.", + "", + "", + "", + "", + "", + "", + "", + "", + ], + [ + "", + "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.", "", "", "", ""], + [ + "", + "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]", "", "", "", "", ""], + [ + "[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", ""], ["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"], ["", "Total", "White", "Black", "Native", "Islander"], - ["Total .\n .\n .\n .\n . .\n . . .\n . . .\n .\n . . .\n .\n . . .\n . .\n .\n . . .\n .\n .\n .\n . .\n . .\n . .", "10,690,561", "7,389,208", "3,027,153", "150,544", "123,656"], - ["Violent crime . . . . . . . .\n . .\n . .\n . .\n . .\n .\n .\n . .\n . .\n .\n .\n .\n .\n . .", "456,965", "268,346", "177,766", "5,608", "5,245"], - ["Murder and nonnegligent manslaughter . .\n. .\n.\n. .", "9,739", "4,741", "4,801", "100", "97"], - ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "16,362", "10,644", "5,319", "169", "230"], - ["Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", "100,496", "43,039", "55,742", "726", "989"], - ["Aggravated assault . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. .\n.\n.\n.", "330,368", "209,922", "111,904", "4,613", "3,929"], - ["Property crime . . . . .\n . . . . .\n .\n . . .\n .\n . .\n .\n .\n .\n . .\n .\n . .\n .\n .", "1,364,409", "922,139", "406,382", "17,599", "18,289"], - ["Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n. . . .", "234,551", "155,994", "74,419", "2,021", "2,117"], - ["Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "1,056,473", "719,983", "306,625", "14,646", "15,219"], - ["Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "63,919", "39,077", "23,184", "817", "841"], - ["Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . . . .", "9,466", "7,085", "2,154", "115", "112"], - ["Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "1,032,502", "672,865", "332,435", "15,127", "12,075"], - ["Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. 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.\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "1,301,629", "845,974", "437,623", "8,588", "9,444"], - ["Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . .\n.\n.\n.\n.\n. .\n. .", "8,046", "2,290", "5,518", "27", "211"], - ["Offenses against the family and children .\n.\n. .\n. .\n. .", "87,232", "58,068", "26,850", "1,690", "624"], - ["Driving under the influence . . . . . . .\n. .\n.\n. .\n.\n.\n.\n.\n. .", "1,105,401", "954,444", "121,594", "14,903", "14,460"], - ["Liquor laws . . . . . . . .\n. .\n. .\n. .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "444,087", "373,189", "50,431", "14,876", "5,591"], - ["Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . .\n.\n.\n.\n.\n.\n.", "469,958", "387,542", "71,020", "8,552", "2,844"], - ["Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "515,689", "326,563", "176,169", "8,783", "4,174"], - ["Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", 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+ "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"] + [ + "Pooled", + "38742", + "53618", + "60601", + "86898", + "4459", + "21918", + "27041", + "14312", + "18519", + ], ] data_lattice_two_tables_1 = [ ["State", "n", "Literacy Status", "", "", "", "", ""], - ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College"], + [ + "", + "", + "Illiterate", + "Read & \nWrite", + "1-4 std.", + "5-8 std.", + "9-12 std.", + "College", + ], ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5"], ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2"], ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8"], @@ -408,12 +2544,21 @@ data_lattice_two_tables_1 = [ ["Orissa", "2405", "33.2", "1.0", "10.4", "25.7", "21.2", "8.5"], ["West Bengal", "2293", "41.7", "4.4", "13.2", "17.1", "21.2", "2.4"], ["Uttar Pradesh", "2400", "35.3", "2.1", "4.5", "23.3", "27.1", "7.6"], - ["Pooled", "23889", "30.9", "1.9", "12.3", "23.2", "25.2", "6.4"] + ["Pooled", "23889", "30.9", "1.9", "12.3", "23.2", "25.2", "6.4"], ] data_lattice_two_tables_2 = [ ["State", "n", "Literacy Status", "", "", "", "", ""], - ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College"], + [ + "", + "", + "Illiterate", + "Read & \nWrite", + "1-4 std.", + "5-8 std.", + "9-12 std.", + "College", + ], ["Kerala", "2400", "8.8", "0.3", "20.1", "17.0", "45.6", "8.2"], ["Tamil Nadu", "2400", "29.9", "1.5", "8.5", "33.1", "22.3", "4.8"], ["Karnataka", "2399", "47.9", "2.5", "10.2", "18.8", "18.4", "2.3"], @@ -424,20 +2569,30 @@ data_lattice_two_tables_2 = [ ["Orissa", "2405", "50.0", "0.9", "8.1", "21.9", "15.1", "4.0"], ["West Bengal", "2293", "49.1", "4.8", "11.2", "16.8", "17.1", "1.1"], ["Uttar Pradesh", "2400", "67.3", "2.0", "3.1", "17.2", "7.7", "2.7"], - ["Pooled", "23889", "47.7", "1.5", "9.9", "19.9", "17.8", "3.3"] + ["Pooled", "23889", "47.7", "1.5", "9.9", "19.9", "17.8", "3.3"], ] data_lattice_table_regions = [ - ['Età dell’Assicurato \nall’epoca del decesso', 'Misura % di \nmaggiorazione'], - ['18-75', '1,00%'], - ['76-80', '0,50%'], - ['81 in poi', '0,10%'] + ["Età dell’Assicurato \nall’epoca del decesso", "Misura % di \nmaggiorazione"], + ["18-75", "1,00%"], + ["76-80", "0,50%"], + ["81 in poi", "0,10%"], ] data_lattice_table_areas = [ ["", "", "", "", "", "", "", "", ""], ["State", "n", "Literacy Status", "", "", "", "", "", ""], - ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College", ""], + [ + "", + "", + "Illiterate", + "Read & \nWrite", + "1-4 std.", + "5-8 std.", + "9-12 std.", + "College", + "", + ], ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5", ""], ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2", ""], ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8", ""], @@ -449,18 +2604,54 @@ data_lattice_table_areas = [ ["West Bengal", "2293", "41.7", "4.4", "13.2", "17.1", "21.2", "2.4", ""], ["Uttar Pradesh", "2400", "35.3", "2.1", "4.5", "23.3", "27.1", "7.6", ""], ["Pooled", "23889", "30.9", "1.9", "12.3", "23.2", "25.2", "6.4", ""], - ["", "", "", "", "", "", "", "", ""] + ["", "", "", "", "", "", "", "", ""], ] data_lattice_process_background = [ - ["State", "Date", "Halt \nstations", "Halt \ndays", "Persons \ndirectly \nreached\n(in lakh)", "Persons \ntrained", "Persons \ncounseled", "Persons \ntested\nfor HIV"], + [ + "State", + "Date", + "Halt \nstations", + "Halt \ndays", + "Persons \ndirectly \nreached\n(in lakh)", + "Persons \ntrained", + "Persons \ncounseled", + "Persons \ntested\nfor HIV", + ], ["Delhi", "1.12.2009", "8", "17", "1.29", "3,665", "2,409", "1,000"], ["Rajasthan", "2.12.2009 to \n19.12.2009", "", "", "", "", "", ""], - ["Gujarat", "20.12.2009 to \n3.1.2010", "6", "13", "6.03", "3,810", "2,317", "1,453"], - ["Maharashtra", "4.01.2010 to \n1.2.2010", "13", "26", "1.27", "5,680", "9,027", "4,153"], - ["Karnataka", "2.2.2010 to \n22.2.2010", "11", "19", "1.80", "5,741", "3,658", "3,183"], + [ + "Gujarat", + "20.12.2009 to \n3.1.2010", + "6", + "13", + "6.03", + "3,810", + "2,317", + "1,453", + ], + [ + "Maharashtra", + "4.01.2010 to \n1.2.2010", + "13", + "26", + "1.27", + "5,680", + "9,027", + "4,153", + ], + [ + "Karnataka", + "2.2.2010 to \n22.2.2010", + "11", + "19", + "1.80", + "5,741", + "3,658", + "3,183", + ], ["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"], - ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"] + ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"], ] data_lattice_copy_text = [ @@ -503,49 +2694,121 @@ data_lattice_copy_text = [ ["PCCM", "San Francisco", "Family Mosaic", "25"], ["PCCM", "Total PHP Enrollment", "", "853"], ["All Models Total Enrollments", "", "", "10,132,875"], - ["Source: Data Warehouse \n12/14/15", "", "", ""] + ["Source: Data Warehouse \n12/14/15", "", "", ""], ] data_lattice_shift_text_left_top = [ - ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"], + [ + "Investigations", + "No. of\nHHs", + "Age/Sex/\nPhysiological Group", + "Preva-\nlence", + "C.I*", + "Relative\nPrecision", + "Sample size\nper State", + ], ["Anthropometry", "2400", "All the available individuals", "", "", "", ""], ["Clinical Examination", "", "", "", "", "", ""], ["History of morbidity", "", "", "", "", "", ""], - ["Diet survey", "1200", "All the individuals partaking meals in the HH", "", "", "", ""], + [ + "Diet survey", + "1200", + "All the individuals partaking meals in the HH", + "", + "", + "", + "", + ], ["Blood Pressure #", "2400", "Men (≥ 18yrs)", "10%", "95%", "20%", "1728"], ["", "", "Women (≥ 18 yrs)", "", "", "", "1728"], ["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%", "1825"], ["", "", "Women (≥ 18 yrs)", "", "", "", "1825"], - ["Knowledge &\nPractices on HTN &\nDM", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"], - ["", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"] + [ + "Knowledge &\nPractices on HTN &\nDM", + "2400", + "Men (≥ 18 yrs)", + "-", + "-", + "-", + "1728", + ], + ["", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"], ] data_lattice_shift_text_disable = [ - ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"], + [ + "Investigations", + "No. of\nHHs", + "Age/Sex/\nPhysiological Group", + "Preva-\nlence", + "C.I*", + "Relative\nPrecision", + "Sample size\nper State", + ], ["Anthropometry", "", "", "", "", "", ""], ["Clinical Examination", "2400", "", "All the available individuals", "", "", ""], ["History of morbidity", "", "", "", "", "", ""], - ["Diet survey", "1200", "", "All the individuals partaking meals in the HH", "", "", ""], + [ + "Diet survey", + "1200", + "", + "All the individuals partaking meals in the HH", + "", + "", + "", + ], ["", "", "Men (≥ 18yrs)", "", "", "", "1728"], ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"], ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"], ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"], - ["Knowledge &\nPractices on HTN &", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"], - ["DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"] + [ + "Knowledge &\nPractices on HTN &", + "2400", + "Men (≥ 18 yrs)", + "-", + "-", + "-", + "1728", + ], + ["DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"], ] data_lattice_shift_text_right_bottom = [ - ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"], + [ + "Investigations", + "No. of\nHHs", + "Age/Sex/\nPhysiological Group", + "Preva-\nlence", + "C.I*", + "Relative\nPrecision", + "Sample size\nper State", + ], ["Anthropometry", "", "", "", "", "", ""], ["Clinical Examination", "", "", "", "", "", ""], ["History of morbidity", "2400", "", "", "", "", "All the available individuals"], - ["Diet survey", "1200", "", "", "", "", "All the individuals partaking meals in the HH"], + [ + "Diet survey", + "1200", + "", + "", + "", + "", + "All the individuals partaking meals in the HH", + ], ["", "", "Men (≥ 18yrs)", "", "", "", "1728"], ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"], ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"], ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"], ["", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"], - ["Knowledge &\nPractices on HTN &\nDM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"] + [ + "Knowledge &\nPractices on HTN &\nDM", + "2400", + "Women (≥ 18 yrs)", + "-", + "-", + "-", + "1728", + ], ] data_arabic = [ @@ -553,7 +2816,7 @@ data_arabic = [ ["ﻝﺎﻤﺸﻟﺍ\xa0ﺎﻨﻴﻟﻭﺭﺎﻛ\xa0ﺔﻳﻻﻭ\xa0ﻦﻣ\xa0ﺎﻧﺍ", "؟ﺖﻧﺍ\xa0ﻦﻳﺍ\xa0ﻦﻣ"], ["1234", "ﻂﻄﻗ\xa047\xa0ﻱﺪﻨﻋ"], ["؟ﻙﺎﺒﺷ\xa0ﺖﻧﺍ\xa0ﻞﻫ", "ﺔﻳﺰﻴﻠﺠﻧﻻﺍ\xa0ﻲﻓ\xa0Jeremy\xa0ﻲﻤﺳﺍ"], - ["Jeremy\xa0is\xa0ﻲﻣﺮﺟ\xa0in\xa0Arabic", ""] + ["Jeremy\xa0is\xa0ﻲﻣﺮﺟ\xa0in\xa0Arabic", ""], ] data_stream_layout_kwargs = [ @@ -593,5 +2856,5 @@ data_stream_layout_kwargs = [ ["A.O.P Châteauneuf du Pape", ""], ["Domaine de Beaurenard 2011", "15 €"], ["A.O.P Cornas", ""], - ["Domaine Lionnet « Terre Brûlée » 2012", "15 €"] + ["Domaine Lionnet « Terre Brûlée » 2012", "15 €"], ] diff --git a/tests/test_common.py b/tests/test_common.py index 7f5636b..63762ad 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -14,12 +14,7 @@ testdir = os.path.join(testdir, "files") def test_parsing_report(): - parsing_report = { - 'accuracy': 99.02, - 'whitespace': 12.24, - 'order': 1, - 'page': 1 - } + parsing_report = {"accuracy": 99.02, "whitespace": 12.24, "order": 1, "page": 1} filename = os.path.join(testdir, "foo.pdf") tables = camelot.read_pdf(filename) @@ -62,7 +57,7 @@ def test_stream_two_tables(): df2 = pd.DataFrame(data_stream_two_tables_2) filename = os.path.join(testdir, "tabula/12s0324.pdf") - tables = camelot.read_pdf(filename, flavor='stream') + tables = camelot.read_pdf(filename, flavor="stream") assert len(tables) == 2 assert df1.equals(tables[0].df) @@ -73,7 +68,9 @@ 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"]) + tables = camelot.read_pdf( + filename, flavor="stream", table_regions=["320,460,573,335"] + ) assert df.equals(tables[0].df) @@ -81,7 +78,9 @@ def test_stream_table_areas(): df = pd.DataFrame(data_stream_table_areas) 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( + filename, flavor="stream", table_areas=["320,500,573,335"] + ) assert df.equals(tables[0].df) @@ -90,7 +89,8 @@ def test_stream_columns(): filename = os.path.join(testdir, "mexican_towns.pdf") tables = camelot.read_pdf( - filename, flavor="stream", columns=["67,180,230,425,475"], row_tol=10) + filename, flavor="stream", columns=["67,180,230,425,475"], row_tol=10 + ) assert df.equals(tables[0].df) @@ -99,7 +99,11 @@ def test_stream_split_text(): filename = os.path.join(testdir, "tabula/m27.pdf") tables = camelot.read_pdf( - filename, flavor="stream", columns=["72,95,209,327,442,529,566,606,683"], split_text=True) + filename, + flavor="stream", + columns=["72,95,209,327,442,529,566,606,683"], + split_text=True, + ) assert df.equals(tables[0].df) @@ -115,7 +119,7 @@ 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") + tables = camelot.read_pdf(filename, flavor="stream", strip_text=" ,\n") assert df.equals(tables[0].df) @@ -132,7 +136,8 @@ def test_stream_layout_kwargs(): filename = os.path.join(testdir, "detect_vertical_false.pdf") tables = camelot.read_pdf( - filename, flavor="stream", layout_kwargs={"detect_vertical": False}) + filename, flavor="stream", layout_kwargs={"detect_vertical": False} + ) assert df.equals(tables[0].df) @@ -140,7 +145,8 @@ def test_lattice(): df = pd.DataFrame(data_lattice) 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") assert df.equals(tables[0].df) @@ -209,10 +215,10 @@ def test_lattice_shift_text(): tables = camelot.read_pdf(filename, line_scale=40) assert df_lt.equals(tables[0].df) - tables = camelot.read_pdf(filename, line_scale=40, shift_text=['']) + tables = camelot.read_pdf(filename, line_scale=40, shift_text=[""]) assert df_disable.equals(tables[0].df) - tables = camelot.read_pdf(filename, line_scale=40, shift_text=['r', 'b']) + tables = camelot.read_pdf(filename, line_scale=40, shift_text=["r", "b"]) assert df_rb.equals(tables[0].df) @@ -221,7 +227,9 @@ def test_repr(): tables = camelot.read_pdf(filename) assert repr(tables) == "" assert repr(tables[0]) == "" - assert repr(tables[0].cells[0][0]) == "" + assert ( + repr(tables[0].cells[0][0]) == "" + ) def test_pages(): @@ -229,17 +237,23 @@ def test_pages(): tables = camelot.read_pdf(url) assert repr(tables) == "" assert repr(tables[0]) == "
" - assert repr(tables[0].cells[0][0]) == "" + assert ( + repr(tables[0].cells[0][0]) == "" + ) - tables = camelot.read_pdf(url, pages='1-end') + tables = camelot.read_pdf(url, pages="1-end") assert repr(tables) == "" assert repr(tables[0]) == "
" - assert repr(tables[0].cells[0][0]) == "" + assert ( + repr(tables[0].cells[0][0]) == "" + ) - tables = camelot.read_pdf(url, pages='all') + tables = camelot.read_pdf(url, pages="all") assert repr(tables) == "" assert repr(tables[0]) == "
" - assert repr(tables[0].cells[0][0]) == "" + assert ( + repr(tables[0].cells[0][0]) == "" + ) def test_url(): @@ -247,7 +261,9 @@ def test_url(): tables = camelot.read_pdf(url) assert repr(tables) == "" assert repr(tables[0]) == "
" - assert repr(tables[0].cells[0][0]) == "" + assert ( + repr(tables[0].cells[0][0]) == "" + ) def test_arabic():