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Adding new column containing the difference between two date columnsCombining columns containing date and timeCombining columns of years, months and daysConverting a column of strings to datetimeConverting dates to stringsConverting datetime column to date and time columnsConverting DatetimeIndex to Series of datetimeConverting index to datetimeConverting UNIX timestamp to datetimeCreating a column of datesCreating a range of datesExtracting month and year from Datetime columnGetting all weekdays between two datesGetting all weekends between two datesGetting day unit from date columnGetting month unit from date columnGetting name of months in date columnGetting week numbers from a date columnGetting day of week of date columnsGetting year unit from date columnModifying datesOffsetting datetimeRemoving time unit from datesSetting date to beginning of monthSorting DataFrame by datesUsing dates as the index of a DataFrame
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Creating a range of dates in Pandas
schedule Aug 10, 2023
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Tags Python●Pandas
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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 datetimepd.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.
Published by Isshin Inada
Edited by 0 others
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