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Removing time unit from dates in Pandas

schedule Aug 11, 2023
Last updated
local_offer
PythonPandas
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When date is type datetime

Consider the following DataFrame:

dates = pd.date_range("2020-12-25 12:30:00", "2020-12-26 12:40:00")
df = pd.DataFrame({"A":dates})
df
A
0 2020-12-25 12:30:00
1 2020-12-26 12:30:00

Here, column A is of type datetime. We can extract the date (without the time) like so:

df["B"] = df["A"].dt.normalize()
df
A B
0 2020-12-25 2020-12-25
1 2020-12-26 2020-12-26

Here, the normalize() method resets the time to midnight.

Note that the new column B is also of datetime as confirmed below:

A datetime64[ns]
B datetime64[ns]

When date is type DatetimeIndex

Consider the following DatetimeIndex:

dates = pd.date_range(start="2020-12-25 15:30:00", periods=3)
dates
DatetimeIndex(['2020-12-25 15:30:00', '2020-12-26 15:30:00',
'2020-12-27 15:30:00'],
dtype='datetime64[ns]', freq='D')

To remove the time unit from these dates, use the normalize() method:

dates.normalize()
DatetimeIndex(['2020-12-25', '2020-12-26', '2020-12-27'], dtype='datetime64[ns]', freq='D')

normalize() resets the time unit to midnight.

robocat
Published by Isshin Inada
Edited by 0 others
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