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Currently an invalid comparison (eq and ne only) returns an np.ndarray[bool].
In [5]: i = pd.Index([1, 2, 3], dtype='datetime64[ns]')
In [6]: s = pd.Series([1, 2, 3], dtype='timedelta64[ns]')
In [7]: i == s
Out[7]: array([False, False, False])
Should this follow __pandas_priority__ now and return Series[bool]?
The text was updated successfully, but these errors were encountered:
Any thoughts on whether EA == other should return a pandas object?
I'd assume that we would use __pandas_priority__ to determine whether to return NotImplemented. If not returning NotImplemented, I'd expect to return either ndarray[bool] or EA[bool-ish]
Currently an invalid comparison (eq and ne only) returns an
np.ndarray[bool]
.Should this follow
__pandas_priority__
now and returnSeries[bool]
?The text was updated successfully, but these errors were encountered: