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BUG: .isin on datetimelike indexes do not validate input of level parameter #26675

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simonjayhawkins opened this issue Jun 5, 2019 · 0 comments

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@simonjayhawkins
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commented Jun 5, 2019

Code Sample, a copy-pastable example if possible

index = pd.DatetimeIndex([], name='foo')
index.isin([], level='foobar')

Problem description

on master:

array([], dtype=bool)

on 0.23.4

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-2-82f8aeda6721> in <module>
      1 index = pd.DatetimeIndex([], name='foo')
----> 2 index.isin([], level='foobar')

TypeError: isin() got an unexpected keyword argument 'level'

Expected Output

to validate input and raise same message as other non-datetimelike indexes

KeyError: 'Level foobar must be same as name (foo)'

the api for isin is defined in #7892

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]

@simonjayhawkins simonjayhawkins changed the title BUG: .isin on datetimelike indexes do validate input of level parameter BUG: .isin on datetimelike indexes do not validate input of level parameter Jun 6, 2019

@jreback jreback added this to the 0.25.0 milestone Jun 8, 2019

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