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DOC: Improve to_datetime() documentation #41049

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Merged
merged 8 commits into from
Apr 21, 2021
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DOC: Improve to_datetime() documentation #41049

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DOC: Improve to_datetime() documentation GH40808
Apr 20, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 20, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 20, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 20, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 20, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 20, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 21, 2021
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DOC: Improve to_datetime() documentation GH40808
Apr 21, 2021
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15 changes: 13 additions & 2 deletions pandas/core/tools/datetimes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -851,8 +851,19 @@ def to_datetime(

>>> pd.to_datetime([1, 2, 3], unit='D',
... origin=pd.Timestamp('1960-01-01'))
DatetimeIndex(['1960-01-02', '1960-01-03', '1960-01-04'], \
dtype='datetime64[ns]', freq=None)
DatetimeIndex(['1960-01-02', '1960-01-03', '1960-01-04'],
dtype='datetime64[ns]', freq=None)

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can you fix the one right above as well, thanks.

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Sure. Have fixed the example above.

In case input is list-like and the elements of input are of mixed
timezones, return will have object type Index if utc=False.

>>> pd.to_datetime(['2018-10-26 12:00 -0530', '2018-10-26 12:00 -0500'])
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ok to show the same example with utc=True as well

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Added an example with utc=True

Index([2018-10-26 12:00:00-05:30, 2018-10-26 12:00:00-05:00], dtype='object')

>>> pd.to_datetime(['2018-10-26 12:00 -0530', '2018-10-26 12:00 -0500'],
... utc=True)
DatetimeIndex(['2018-10-26 17:30:00+00:00', '2018-10-26 17:00:00+00:00'],
dtype='datetime64[ns, UTC]', freq=None)
"""
if arg is None:
return None
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