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Creating a range of dates in Pandas

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schedule Jul 1, 2022
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To create a range of dates in Pandas, use the date_range(~) method, which returns a DatetimeIndex.

Specifying start and end

To create a sequence of dates starting from 2019-12-23 to 2019-12-25 (both ends inclusive):

pd.date_range(start="2019-12-23", end="2019-12-25")
DatetimeIndex(['2019-12-23', '2019-12-24', '2019-12-25'], dtype='datetime64[ns]', freq='D')

Specifying periods

To create a sequence of dates of length 3 starting from 2019-12-23:

pd.date_range(start="2019-12-23", periods=3)
DatetimeIndex(['2019-12-23', '2019-12-24', '2019-12-25'], dtype='datetime64[ns]', freq='D')

Starting from today

To create a sequence of dates of length 3 starting from today:

from datetime import datetime
pd.date_range(start=datetime.today(), periods=3)
DatetimeIndex(['2020-09-02 12:16:56.167947', '2020-09-03 12:16:56.167947',
'2020-09-04 12:16:56.167947'],
dtype='datetime64[ns]', freq='D')

If you want to strip away information about the time:

pd.date_range(start=datetime.today(), periods=3, normalize=True)
DatetimeIndex(['2020-09-02', '2020-09-03', '2020-09-04'], dtype='datetime64[ns]', freq='D')

Here, normalize=True resets the time unit of each datetime to midnight.

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Published by Isshin Inada
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