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In #24990 there was a brief discussion about backing Blocks with PandasArray objects. In an experimental local branch I'm trying this and finding a handful of rough edges that can be smoothed out. I'll update this list as I find more
view method and size property
dtypes.cast.astype_nansafe breaks on PandasArray
assert PandasDtype('object') == np.object fails
is_dtype_equal(dtype, dtype) returns False for PandasDtype objects
The text was updated successfully, but these errors were encountered:
gfyoung
added
Internals
Related to non-user accessible pandas implementation
Compat
pandas objects compatability with Numpy or Python functions
labels
Feb 2, 2019
In #24990 there was a brief discussion about backing Blocks with PandasArray objects. In an experimental local branch I'm trying this and finding a handful of rough edges that can be smoothed out. I'll update this list as I find more
view
method andsize
propertydtypes.cast.astype_nansafe
breaks onPandasArray
assert PandasDtype('object') == np.object
failsis_dtype_equal(dtype, dtype)
returnsFalse
forPandasDtype
objectsThe text was updated successfully, but these errors were encountered: