How to filter data from a sequence in Python?

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I have given a complex sequence shown below-

result = [[[[0.0, 7.0], [129.0, 7.0], [129.0, 48.0], [0.0, 48.0]],
  ('Firefox', 0.9971230626106262)],
 [[[170.0, 508.0], [668.0, 508.0], [668.0, 556.0], [170.0, 556.0]],
  ('CR No.: 211022200011481', 0.9427024126052856)],
 [[[1115.0, 512.0], [1322.0, 512.0], [1322.0, 552.0], [1115.0, 552.0]],
  ('OPD CARD', 0.9275292158126831)],
 [[[1964.0, 512.0], [2271.0, 512.0], [2271.0, 559.0], [1964.0, 559.0]],
  ('www.scbmch.in', 0.9585516452789307)],
 [[[170.0, 599.0], [583.0, 599.0], [583.0, 647.0], [170.0, 647.0]],
  ('Patient Name: Monika', 0.9691153764724731)],
 [[[1251.0, 596.0], [1576.0, 592.0], [1577.0, 643.0], [1252.0, 647.0]],
  ('Age/Sex: 28 Yr /F', 0.9872424006462097)],
 [[[174.0, 665.0], [543.0, 665.0], [543.0, 702.0], [174.0, 702.0]],
  ('D/O: Monika father', 0.89133220911026)],
 [[[1255.0, 658.0], [2034.0, 658.0], [2034.0, 705.0], [1255.0, 705.0]],
  ('Date & Time: 6-September-2022 17:28:17', 0.9425970315933228)],
 [[[166.0, 720.0], [801.0, 720.0], [801.0, 771.0], [166.0, 771.0]],
  ('Department: Cardiology(cardio 2)', 0.9899667501449585)],
 [[[1255.0, 724.0], [1857.0, 724.0], [1857.0, 771.0], [1255.0, 771.0]],
  ('Appointment Date: 16-Sep-2022', 0.9323211908340454)],
 [[[155.0, 790.0], [262.0, 790.0], [262.0, 830.0], [155.0, 830.0]],
  ('Vitals:', 0.9957624077796936)],
 [[[524.0, 793.0], [794.0, 793.0], [794.0, 830.0], [524.0, 830.0]],
  ('Chief Complaints:', 0.995205819606781)],
 [[[1983.0, 793.0], [2156.0, 793.0], [2156.0, 830.0], [1983.0, 830.0]],
  ('Diagnosis/', 0.979446530342102)],
 [[[1983.0, 841.0], [2248.0, 841.0], [2248.0, 881.0], [1983.0, 881.0]],
  ('Diagnosis(Prov):', 0.9228802919387817)],
 [[[159.0, 896.0], [229.0, 896.0], [229.0, 925.0], [159.0, 925.0]],
  ('Ht....', 0.9669005274772644)],
 [[[292.0, 892.0], [414.0, 892.0], [414.0, 928.0], [292.0, 928.0]],
  ('..(Cms)', 0.9294410943984985)],
 [[[1977.0, 924.0], [2183.0, 933.0], [2181.0, 984.0], [1974.0, 975.0]],
  ('Past History:', 0.9502112865447998)],
 [[[158.0, 953.0], [242.0, 963.0], [237.0, 999.0], [153.0, 989.0]],
  ('Wt....', 0.9631617069244385)],
 [[[284.0, 961.0], [369.0, 961.0], [369.0, 1002.0], [284.0, 1002.0]],
  ('..(Kg)', 0.9298592209815979)],
 [[[1983.0, 1009.0], [2079.0, 1009.0], [2079.0, 1049.0], [1983.0, 1049.0]],
  ('Hyper', 0.998813271522522)],
 [[[159.0, 1031.0], [240.0, 1031.0], [240.0, 1071.0], [159.0, 1071.0]],
  ('Pulse', 0.9149500131607056)],
 [[[328.0, 1026.0], [419.0, 1036.0], [414.0, 1076.0], [323.0, 1066.0]],
  ('../min', 0.9576079845428467)],
 [[[1976.0, 1041.0], [2219.0, 1050.0], [2218.0, 1101.0], [1975.0, 1092.0]],
  ('Tension: (Y/N)', 0.9596797823905945)],
 [[[162.0, 1108.0], [233.0, 1108.0], [233.0, 1137.0], [162.0, 1137.0]],
  ('BP:...', 0.8659010529518127)],
 [[[284.0, 1108.0], [421.0, 1108.0], [421.0, 1148.0], [284.0, 1148.0]],
  ('..mm/Hg', 0.8771561980247498)],
 [[[1983.0, 1126.0], [2230.0, 1126.0], [2230.0, 1166.0], [1983.0, 1166.0]],
  ('Diabetes: (Y/N)', 0.9567031860351562)],
 [[[159.0, 1177.0], [255.0, 1177.0], [255.0, 1217.0], [159.0, 1217.0]],
  ('Temp:', 0.9742925763130188)],
 [[[1986.0, 1199.0], [2189.0, 1199.0], [2189.0, 1239.0], [1986.0, 1239.0]],
  ('COPD: (Y/N)', 0.9035886526107788)],
 [[[162.0, 1254.0], [214.0, 1254.0], [214.0, 1283.0], [162.0, 1283.0]],
  ('RR:', 0.9956105351448059)],
 [[[303.0, 1254.0], [377.0, 1254.0], [377.0, 1283.0], [303.0, 1283.0]],
  ('/min', 0.9487172365188599)],
 [[[1983.0, 1272.0], [2245.0, 1272.0], [2245.0, 1312.0], [1983.0, 1312.0]],
  ('Oncology: (Y/N)', 0.9581263661384583)],
 [[[159.0, 1320.0], [266.0, 1320.0], [266.0, 1356.0], [159.0, 1356.0]],
  ('SPO2:..', 0.8974727988243103)],
 [[[1983.0, 1341.0], [2171.0, 1341.0], [2171.0, 1382.0], [1983.0, 1382.0]],
  ('CAD: (Y/N)', 0.9229832887649536)],
 [[[155.0, 1393.0], [384.0, 1393.0], [384.0, 1429.0], [155.0, 1429.0]],
  ('Investigations:', 0.9258691072463989)],
 [[[1976.0, 1403.0], [2275.0, 1407.0], [2274.0, 1459.0], [1975.0, 1455.0]],
  ('Tuberculosis: (Y/N)', 0.9428665041923523)],
 [[[521.0, 1436.0], [727.0, 1436.0], [727.0, 1473.0], [521.0, 1473.0]],
  ('Examination:', 0.993964433670044)],
 [[[1976.0, 1472.0], [2227.0, 1481.0], [2225.0, 1532.0], [1975.0, 1524.0]],
  ('Thyroid: (Y/N)', 0.9343023300170898)],
 [[[159.0, 1491.0], [362.0, 1491.0], [362.0, 1528.0], [159.0, 1528.0]],
  ('CBC/LFT/KFT', 0.9619587063789368)],
 [[[150.0, 1562.0], [252.0, 1552.0], [256.0, 1596.0], [154.0, 1606.0]],
  ('Blood', 0.9827973246574402)],
 [[[1983.0, 1561.0], [2219.0, 1561.0], [2219.0, 1601.0], [1983.0, 1601.0]],
  ('Surgery: (Y/N)', 0.9660006761550903)],
 [[[155.0, 1608.0], [377.0, 1608.0], [377.0, 1648.0], [155.0, 1648.0]],
  ('Sugar(R/F/PP)', 0.9385057091712952)]]

and I have to use python to filter the list for text-'Chief Complaints:' and get the coordinates for the text. As the text was detected using OCR, the indexing of the detected text's list won't be same always. So I have to use filter only on the text to get the coordinates. How to proceed?

What I have tried:

What I tried-

Python

myList = [('Chief Complaints:', 0.995205819606781)]

count = 0

for el in zip(myList,result):
    
    for t in el[1]:
        if t in el[0]:
            count += 1
    print(el)
    print(count)

Posted 8-Sep-22 19:48pm

M@153

Updated 8-Sep-22 21:31pm

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Richard MacCutchan · Accepted Answer · 2022-09-08T21:31:00

Solution 1

Try this:

Python

for items in result:
    element = items[1]
    if 'Chief Complaints' in element[0]: // first item of the tuple
        print(element)
        coordinates = items[0]

Posted 8-Sep-22 21:31pm

Richard MacCutchan

Updated 9-Sep-22 2:07am

v2

Comments

M@153 9-Sep-22 5:41am

@Richard MacCutchan Hi, thank you for the solution, But I want to get the coordinates of the text-'Chief Complaints'. Kindly suggest any solution.

Richard MacCutchan 9-Sep-22 6:01am

Well you need to explain which items are the coordinates. Is it one or more of the first list, or the second item of the tuple?

M@153 9-Sep-22 6:44am

The first list- [[524.0, 793.0], [794.0, 793.0], [794.0, 830.0], [524.0, 830.0]].
These are the coordinates I want to extract.

Richard MacCutchan 9-Sep-22 8:08am

That is just the first item of each entry in the results list. See my updated solution.

M@153 12-Sep-22 0:04am

It worked....Thank you for the solution.