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@jbrockmendel jbrockmendel commented Nov 14, 2020

@jreback jreback added Nuisance Columns Identifying/Dropping nuisance columns in reductions, groupby.add, DataFrame.apply Reduction Operations sum, mean, min, max, etc. labels Nov 14, 2020
@jreback jreback added this to the 1.2 milestone Nov 14, 2020
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jreback commented Nov 14, 2020

#28948 is an incorrect ref (top of PR)

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doc comments & there is an oncorrect ref to #28948

A 1.0
dtype: float64
*New behavior*:
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needs to be an ipython block & remove the prompts

A True
dtype: bool
*New behavior*:
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make an ipython block & remove the prompts

# need a new block
if m.any():
nv = f(m, v, i)
if m.any() or m.size == 0:
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can you add a comment here on what is going on

# Double-check the Series behavior is to raise
with pytest.raises(TypeError, match="does not implement reduction"):
getattr(ser, method)()
with pytest.raises(TypeError, match="does not implement reduction"):
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blank line here

# Double-check the Series behavior
with pytest.raises(TypeError, match="is not ordered for operation"):
getattr(ser, method)()
with pytest.raises(TypeError, match="is not ordered for operation"):
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blank line

Other :class:`DataFrame` reductions with ``numeric_only=None`` will also avoid
this pathological behavior (:issue:`37827`):
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can you make sure to list all the issues you are closing the OP (3?)

*New behavior*:

.. code-block:: ipython
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needs to be an ipython block to render

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dangit, i thought i had copied from the previous reduction PR, was so proud of myself

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haha

*New behavior*:

.. code-block:: ipython
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same

@jreback jreback added Categorical Categorical Data Type API - Consistency Internal Consistency of API/Behavior labels Nov 14, 2020
@jreback jreback merged commit 50ae0bf into pandas-dev:master Nov 14, 2020
@jbrockmendel jbrockmendel deleted the bug-reduce branch November 14, 2020 19:40
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API - Consistency Internal Consistency of API/Behavior Categorical Categorical Data Type Nuisance Columns Identifying/Dropping nuisance columns in reductions, groupby.add, DataFrame.apply Reduction Operations sum, mean, min, max, etc.

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