pd.eval: Series names are now preserved even for "numexpr" engine.
#58437
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Series names are now preserved even when using numexpr engine. Making the behavior consistent with python engine.
mroeschke
reviewed
Apr 29, 2024
mroeschke
reviewed
Apr 29, 2024
mroeschke
reviewed
Apr 29, 2024
mroeschke
reviewed
Apr 29, 2024
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| return typ(obj, dtype=res_t, **axes) | ||
| return typ(obj, dtype=res_t, name=name, **axes) |
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Shouldn't name=None also be OK? i.e. Can't this always be return typ(obj, dtype=res_t, name=name, **axes)?
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Unfortunately no. In some cases typ is DataFrame (in particular cases like pd.eval("df + df")) in which case passing anything as name= (including None) would raise a TypeError
Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
mroeschke
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Apr 29, 2024
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Thanks @domsmrz |
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…ne. (pandas-dev#58437) * Eval: Series names are preserved for numexpr Series names are now preserved even when using numexpr engine. Making the behavior consistent with python engine. * Update doc/source/whatsnew/v3.0.0.rst Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com> * Update pandas/core/computation/align.py Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com> * Update pandas/tests/computation/test_eval.py --------- Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
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Series names are now preserved even when using
numexpr engine. Making the behavior consistent
with python engine.
DataFrame.eval#58069)doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.