Fix patching a table with a DataFrame with a custom index

[maximlt]

Fixes #5554

[codecov]

Codecov Report

Merging #5645 (159c0d1) into main (db1e9fe) will decrease coverage by 0.05%.
Report is 2 commits behind head on main.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main    #5645      +/-   ##
==========================================
- Coverage   83.65%   83.60%   -0.05%     
==========================================
  Files         280      280              
  Lines       41580    41635      +55     
==========================================
+ Hits        34782    34811      +29     
- Misses       6798     6824      +26     

Flag	Coverage Δ
ui-tests	39.55% <29.50%> (-0.03%)	⬇️
unitexamples-tests	73.68% <100.00%> (-0.06%)	⬇️

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Files	Coverage Δ
panel/tests/widgets/test_tables.py	99.79% <100.00%> (+0.01%)	⬆️
panel/widgets/tables.py	88.86% <100.00%> (+0.08%)	⬆️

... and 7 files with indirect coverage changes

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[maximlt]

The examples tests are failing on the reference/widgets/DataFrame.ipynb notebook. .patch is exerted in this notebook in the following way:

import pandas as pd
import panel as pn

pn.extension()

df = pd.DataFrame({'int': [1, 2, 3], 'float': [3.14, 6.28, 9.42], 'str': ['A', 'B', 'C'], 'bool': [True, False, True]}, index=[1, 2, 3])
table = pn.widgets.DataFrame(df)
table.patch({
    'bool': [
        (0, False),
        (2, False)
    ],
    'int': [
        (slice(0, 2), [3, 2])
    ]
})

Note that the index of the DataFrame is [1, 2, 3] so not the default DataFrame index.

The default of .patch() is as_index=True which means that the indexes should be treated as DataFrame indexes, not as simple integer indexes. I think the example in the notebook is leveraging a bug so I'll update it.

[philippjfr]

This looks great, thank you for adding the tests!