Extract table row bbox values

[meghanaviyyapu]

Can you let me know if there is any way to get the bbox values of each table row?

[JorjMcKie]

Bbox of row i is tab.rows[i].bbox.

[meghanaviyyapu]

Ok may I know if it is possible to get table cell data along with bbox value of text?

[JorjMcKie]

You can always use page.get_text("dict", clip=cell) with the clip parameter being one of the table cells. The result contains spans as usual which an "origin" key.

[meghanaviyyapu]

Ok thanks for clarifying

[meghanaviyyapu]

While using page.get_text("dict", clip=cell), sometimes the span output contains many spans with text=" " along with the required span text. Is there any parameter that can help in avoiding text=" " output in page.get_text()?

[JorjMcKie]

you have to exclude these undesired spans in your program.

[meghanaviyyapu]

Thought of doing so but it is increasing the iterations to go through all the spans so thought of asking if there is any parameter

[meghanaviyyapu]

Page has only one table but with the below code, gives two tables. Could you let me know the reason
tab=page.find_tables():
if (tab.tables):
for i,tab in enumerate(tabs):
print(tab)
complex-table.pdf

[meghanaviyyapu]

Using this logic, I see multiple tables, could you let me know the method you tried using?

[JorjMcKie]

import pymupdf
from pprint import pp

print(pymupdf.version)
doc = pymupdf.open("complex-table.pdf")
page = doc[0]
tabs = page.find_tables()
for i, tab in enumerate(tabs):
    print(f"Table {i=}\n")
    for e in tab.extract():
        pp(e, width=200)
    print("-" * 80)

# Another try, ignoring filled rectangles this time
tabs = page.find_tables(strategy="lines_strict")
for i, tab in enumerate(tabs):
    print(f"Table {i=}\n")
    for e in tab.extract():
        pp(e, width=200)
    print("-" * 80)

Result Linux:

$ python3.11 test.py
('1.24.11', '1.24.10', '20241003000001')
Table i=0

['Disability\nCategory', 'Participants', 'Ballots\nCompleted', 'Ballots\nIncomplete/\nTerminated', '', 'Results', None, None, '']
[None, None, None, None, 'Accuracy', 'Accuracy', '', 'Time to', '']
[None, None, None, None, None, None, None, 'complete', None]
['Blind', '5', '1', '4', '34.5%, n=1', None, '1199 sec, n=1', None, None]
['Low Vision', '5', '2', '3', '98.3% n=2\n(97.7%, n=3)', None, '1716 sec, n=3\n(1934 sec, n=2)', None, None]
['Dexterity', '5', '4', '1', '98.3%, n=4', None, '1672.1 sec, n=4', None, None]
['Mobility', '3', '3', '0', '95.4%, n=3', None, '1416 sec, n=3', None, None]
--------------------------------------------------------------------------------
Table i=0

['Disability\nCategory', 'Participants', 'Ballots\nCompleted', 'Ballots\nIncomplete/\nTerminated', 'Results', None]
[None, None, None, None, 'Accuracy', 'Time to\ncomplete']
['Blind', '5', '1', '4', '34.5%, n=1', '1199 sec, n=1']
['Low Vision', '5', '2', '3', '98.3% n=2\n(97.7%, n=3)', '1716 sec, n=3\n(1934 sec, n=2)']
['Dexterity', '5', '4', '1', '98.3%, n=4', '1672.1 sec, n=4']
['Mobility', '3', '3', '0', '95.4%, n=3', '1416 sec, n=3']
--------------------------------------------------------------------------------

Windows:

py -3.11 test.py
('1.24.13', '1.24.10', '20241029000001')
Table i=0

['Disability\nCategory', 'Participants', 'Ballots\nCompleted', 'Ballots\nIncomplete/\nTerminated', '', 'Results', None, None, '']
[None, None, None, None, 'Accuracy', 'Accuracy', '', 'Time to', '']
[None, None, None, None, None, None, None, 'complete', None]
['Blind', '5', '1', '4', '34.5%, n=1', None, '1199 sec, n=1', None, None]
['Low Vision', '5', '2', '3', '98.3% n=2\n(97.7%, n=3)', None, '1716 sec, n=3\n(1934 sec, n=2)', None, None]
['Dexterity', '5', '4', '1', '98.3%, n=4', None, '1672.1 sec, n=4', None, None]
['Mobility', '3', '3', '0', '95.4%, n=3', None, '1416 sec, n=3', None, None]
--------------------------------------------------------------------------------
Table i=0

['Disability\nCategory', 'Participants', 'Ballots\nCompleted', 'Ballots\nIncomplete/\nTerminated', 'Results', None]
[None, None, None, None, 'Accuracy', 'Time to\ncomplete']
['Blind', '5', '1', '4', '34.5%, n=1', '1199 sec, n=1']
['Low Vision', '5', '2', '3', '98.3% n=2\n(97.7%, n=3)', '1716 sec, n=3\n(1934 sec, n=2)']
['Dexterity', '5', '4', '1', '98.3%, n=4', '1672.1 sec, n=4']
['Mobility', '3', '3', '0', '95.4%, n=3', '1416 sec, n=3']
--------------------------------------------------------------------------------

[meghanaviyyapu]

Ok thanks for the example, with 1.23.0 version, I see multiple outputs. Is it possible to get the same in 1.23 versions?

[JorjMcKie]

New versions are created to (1) fix issues and (2) add features, right?

[meghanaviyyapu]

Yes, agree