fix: #1008 columns in DataFrame.drop #1131
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cmp0xff
commented
Feb 26, 2025
| check(assert_type(df.drop(columns=iter(["col1"])), pd.DataFrame), pd.DataFrame) | ||
| check(assert_type(df.drop([0]), pd.DataFrame), pd.DataFrame) | ||
| check(assert_type(df.drop(index=[0]), pd.DataFrame), pd.DataFrame) | ||
| check(assert_type(df.drop(columns=["col1"]), pd.DataFrame), pd.DataFrame) |
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Removed since it duplicates L346 above
| df = pd.DataFrame(data={"col1": [1, 2], "col2": [3, 4]}) | ||
| check(assert_type(df.drop("col1", axis=1), pd.DataFrame), pd.DataFrame) | ||
| check(assert_type(df.drop(columns=["col1"]), pd.DataFrame), pd.DataFrame) | ||
| check(assert_type(df.drop(columns=iter(["col1"])), pd.DataFrame), pd.DataFrame) |
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iter might be the easiest way to make an iterable
Dr-Irv
requested changes
Feb 26, 2025
Dr-Irv
approved these changes
Feb 27, 2025
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assert_type()to assert the type of any return valueDataFrame.drop()accept asetfor thecolumns,indexandlabelsargument? pandas#59890, DOC: Update DataFrame.drop() docstring pandas#61013