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[DOC] Fix issues with DataFrame.aggregate page #24948

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[DOC] Fix issues with DataFrame.aggregate page #24948

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66eac11
[DOC] Fix issues with DataFrame.aggregate page
rotuna Jan 26, 2019
9fc48fa
Fix pep8 issues
rotuna Jan 26, 2019
4782f04
Fix SS04 issue found in azure
rotuna Jan 26, 2019
92dd88e
Added "summary" to page template
rotuna Jan 27, 2019
ecb2e45
Merge branch 'master' into fix_aggregate
rotuna Feb 19, 2019
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13 changes: 2 additions & 11 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6224,16 +6224,7 @@ def _gotitem(self,
# TODO: _shallow_copy(subset)?
return subset[key]

_agg_summary_and_see_also_doc = dedent("""
The aggregation operations are always performed over an axis, either the
index (default) or the column axis. This behavior is different from
`numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,
`var`), where the default is to compute the aggregation of the flattened
array, e.g., ``numpy.mean(arr_2d)`` as opposed to ``numpy.mean(arr_2d,
axis=0)``.

`agg` is an alias for `aggregate`. Use the alias.

_agg_see_also_doc = dedent("""
See Also
--------
DataFrame.apply : Perform any type of operations.
Expand Down Expand Up @@ -6280,7 +6271,7 @@ def _gotitem(self,
dtype: float64
""")

@Substitution(see_also=_agg_summary_and_see_also_doc,
@Substitution(see_also=_agg_see_also_doc,
examples=_agg_examples_doc,
versionadded='.. versionadded:: 0.20.0',
**_shared_doc_kwargs)
Expand Down
15 changes: 11 additions & 4 deletions pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4913,6 +4913,13 @@ def pipe(self, func, *args, **kwargs):
_shared_docs['aggregate'] = dedent("""
Aggregate using one or more operations over the specified axis.

The aggregation operations are always performed over an axis, either
the index (default) or the column axis. This behavior is different from
`numpy` aggregation functions (`mean`, `median`, `prod`, `sum`, `std`,
`var`), where the default is to compute the aggregation of the
flattened array, e.g., ``numpy.mean(arr_2d)`` as opposed to
``numpy.mean(arr_2d, axis=0)``.

%(versionadded)s

Parameters
Expand All @@ -4936,10 +4943,10 @@ def pipe(self, func, *args, **kwargs):
Returns
-------
DataFrame, Series or scalar
if DataFrame.agg is called with a single function, returns a Series
if DataFrame.agg is called with several functions, returns a DataFrame
if Series.agg is called with single function, returns a scalar
if Series.agg is called with several functions, returns a Series
- if DataFrame.agg is called with a single function, returns a Series
- if DataFrame.agg is called with several functions, returns a DataFrame
- if Series.agg is called with single function, returns a scalar
- if Series.agg is called with several functions, returns a Series

%(see_also)s

Expand Down