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DOC: timezone conversion example added to pandas.Series.astype doc #33399 #33470

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Merged
merged 5 commits into from
Apr 12, 2020
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DOC: timezone conversion example added to pandas.Series.astype doc #33399 #33470

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e6b9004
DOC: timezone conversion example added to pandas.Series.astype doc #3…
venkateshdatta-miq Apr 10, 2020
293dfef
DOC: fixed the whitespace issue flagged in pep8 checks #33399
venkateshdatta-miq Apr 10, 2020
8364746
DOC: added text in comments to commentary in example #333999
venkateshdatta-miq Apr 11, 2020
aecb986
DOC: added a more generic behavior statement as suggested. #33399
venkateshdatta-miq Apr 11, 2020
78458eb
DOC: removed unwanted commentary statement as per suggestion #33399
venkateshdatta-miq Apr 11, 2020
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18 changes: 18 additions & 0 deletions pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5538,6 +5538,24 @@ def astype(
0 10
1 2
dtype: int64

Create a series of dates:

>>> ser_date = pd.Series(pd.date_range('20200101', periods=3))
>>> ser_date
0 2020-01-01
1 2020-01-02
2 2020-01-03
dtype: datetime64[ns]

Convert to datetime type with time zone:

>>> # localize to UTC and convert to US/Eastern time zone
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Instead of the comment here, can you add it as commentary with Convert to datetime type with time zone:

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Sure @mroeschke

I'll make that change and update the PR.

>>> ser_date.astype('datetime64[ns, US/Eastern]')
0 2019-12-31 19:00:00-05:00
1 2020-01-01 19:00:00-05:00
2 2020-01-02 19:00:00-05:00
dtype: datetime64[ns, US/Eastern]
"""
if is_dict_like(dtype):
if self.ndim == 1: # i.e. Series
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