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pandas-paddles's Issues

Make `S` also work with Index objects

It would be nice, if S could also be used on DataFrame.columns, e.g.

col_subset = df.columns[S.str.startswith('prefix_')]

Currently, this fails, because pandas.Index is not a sub-class of pandas.Series.

Usage in groupby()[col].agg() fails due to function name not being resolved

Example stack-trace:

[...]
File /site-packages/pandas/core/apply.py:1517, in _managle_lambda_list(aggfuncs)
   1515 mangled_aggfuncs = []
   1516 for aggfunc in aggfuncs:
-> 1517     if com.get_callable_name(aggfunc) == "<lambda>":
   1518         aggfunc = partial(aggfunc)
   1519         aggfunc.__name__ = f"<lambda_{i}>"

TypeError: __bool__ should return bool, returned SeriesContext

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