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Oct 29, 2019
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Timedelta index 29236 #29257

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67fba5d
formatting of .to_series docstring
HughKelley Oct 28, 2019
8930200
formatting TimedeltaIndex.mean
HughKelley Oct 28, 2019
4e2d625
pep8
HughKelley Oct 28, 2019
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7 changes: 4 additions & 3 deletions pandas/core/arrays/datetimelike.py
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Expand Up @@ -1457,15 +1457,16 @@ def mean(self, skipna=True):
Parameters
----------
skipna : bool, default True
Whether to ignore any NaT elements
Whether to ignore any NaT elements.

Returns
-------
scalar (Timestamp or Timedelta)
scalar
Timestamp or Timedelta.

See Also
--------
numpy.ndarray.mean
numpy.ndarray.mean : Returns the average of array elements along a given axis.
Series.mean : Return the mean value in a Series.

Notes
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14 changes: 8 additions & 6 deletions pandas/core/indexes/base.py
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Expand Up @@ -1169,20 +1169,22 @@ def to_flat_index(self):

def to_series(self, index=None, name=None):
"""
Create a Series with both index and values equal to the index keys
useful with map for returning an indexer based on an index.
Create a Series with both index and values equal to the index keys.

Useful with map for returning an indexer based on an index.

Parameters
----------
index : Index, optional
index of resulting Series. If None, defaults to original index
Index of resulting Series. If None, defaults to original index.
name : str, optional
name of resulting Series. If None, defaults to name of original
index
Dame of resulting Series. If None, defaults to name of original
index.

Returns
-------
Series : dtype will be based on the type of the Index values.
Series
The dtype will be based on the type of the Index values.
"""

from pandas import Series
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