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EnhancementNested DataData where the values are collections (lists, sets, dicts, objects, etc.).Data where the values are collections (lists, sets, dicts, objects, etc.).Testingpandas testing functions or related to the test suitepandas testing functions or related to the test suite
Description
Feature Type
-
Adding new functionality to pandas
-
Changing existing functionality in pandas
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Removing existing functionality in pandas
Problem Description
is_list_like
was updated to return False
for scalars of numpy-like array implementations. #35131 This has helped pass more extensionarray in pint-pandas .
Some tests now fail at assert_..._equal instead of at is_list_like
, as isiterable
in assert_almost_equal
recognises pint-pandas' scalar, a Quantity
, as iterable since it has an __iter__
method. The Quantity
will TypeError
since it isn't iterable.
cdef bint isiterable(obj):
return hasattr(obj, '__iter__')
I've had a go at this #48920
Feature Description
Add a check for ndim == 0
, like was done for is_list_like
cdef bint isiterable(obj):
if hasattr(obj, '__iter__'):
if hasattr(obj, "ndim") and obj.ndim == 0:
return False
return True
return False
Alternative Solutions
Currently these tests are xpassed.
Additional Context
No response
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EnhancementNested DataData where the values are collections (lists, sets, dicts, objects, etc.).Data where the values are collections (lists, sets, dicts, objects, etc.).Testingpandas testing functions or related to the test suitepandas testing functions or related to the test suite