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BUG: DataFrame.agg and apply with 'size' returns a scalar #39934

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rhshadrach opened this issue Feb 20, 2021 · 0 comments · Fixed by #39935
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BUG: DataFrame.agg and apply with 'size' returns a scalar #39934

rhshadrach opened this issue Feb 20, 2021 · 0 comments · Fixed by #39935
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@rhshadrach
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API - Consistency Internal Consistency of API/Behavior Apply Apply, Aggregate, Transform, Map Bug
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1.3

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df = pd.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})
print(df.apply('size'))
print(df.apply(['size']))
print('---')
print(df.agg('size'))
print(df.agg(['size']))

gives

6
      a  b
size  3  3
---
6
      a  b
size  3  3

agg/apply should operate on rows/columns.
@rhshadrach rhshadrach added Bug Apply Apply, Aggregate, Transform, Map API - Consistency Internal Consistency of API/Behavior labels Feb 20, 2021
@rhshadrach rhshadrach self-assigned this Feb 20, 2021
@rhshadrach rhshadrach mentioned this issue Feb 20, 2021
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@jreback jreback added this to the 1.3 milestone Feb 21, 2021
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@rhshadrach rhshadrach

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API - Consistency Internal Consistency of API/Behavior Apply Apply, Aggregate, Transform, Map Bug
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1.3
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BUG: DataFrame.agg and apply with 'size' returns a scalar rhshadrach/pandas
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