Fix #60494: query doesn't work on DataFrame integer column names #61207
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mroeschke
requested changes
Mar 31, 2025
pandas/core/frame.py
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| if any(isinstance(col, int) for col in self.columns): | ||
| self = self.rename( | ||
| columns={col: f"{col}" for col in self.columns if isinstance(col, int)} |
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This should probably be handled in clean_column_name
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But if I handle it in clean_column_name instead of in eval, wouldn't it return the same error since the integer column names would be ignored because of the line [ if not isinstance(k, int) ] in _get_cleaned_column_resolvers, thus not reaching the clean_column_name function. Maybe it can be handled in _get_cleaned_column_resolvers ?
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Maybe the if not isinstance(k, int) needs to be removed in _get_cleaned_column_resolvers instead. I would see what breaks if you remove that.
…ed_column_resolvers Also removed the changes from the previous commit, which converted integer column names to strings
mroeschke
approved these changes
Apr 1, 2025
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Thanks @David-msggc |
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1== 0.1") failed with UndefinedVariableError: name 'BACKTICK_QUOTED_STRING_1' is not defined #60494doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.Some io code checks failed but they were already failing before the bugfix.
Function _get_cleaned_column_resolvers ignores integer column names, so when it is called on eval function, it returns empty columns which it shouldn't since there is an integer column. Converting the integer columns to strings before calling the _get_cleaned_column_resolvers on eval fucntion fixes this.