How to Convert Datetime to Date in Pandas ?

09 Dec, 2021
DateTime is a collection of dates and times in the format of “yyyy-mm-dd HH:MM:SS” where yyyy-mm-dd is referred to as the date and HH:MM:SS is referred to as Time.
yyyy stands for year
mm stands for  month
dd stands for date
HH stands for hours
MM stands for minutes
SS stands for seconds.
In this article, we are going to discuss converting DateTime to date in pandas. For that, we will extract the only date from DateTime using Pandas Python module. 
Syntax:
pd.DataFrame(data)
where data is the input DateTime data.
Example: Python program to create the pandas dataframe with 5 datetime values and display
Python3
# importing pandas moduleimport pandas as pd # create pandas DataFrame with one column with five# datetime values through a dictionarydf = pd.DataFrame({'DateTime': ['2021-01-15 20:02:11',                                '1989-05-24 20:34:11',                                '2020-01-18 14:43:24',                                '2021-01-15 20:02:10',                                '1999-04-04 20:34:11']}) # displayprint(df)
Output:
DateTime
0  2021-01-15 20:02:11
1  1989-05-24 20:34:11
2  2020-01-18 14:43:24
3  2021-01-15 20:02:10
4  1999-04-04 20:34:11
By using date method along with pandas we can get date.
Syntax:
dataframe[‘Date’] = pd.to_datetime(dataframe[‘DateTime’]).dt.date
where,
dataframe is the input dataframe
to_datetime is the function used to convert datetime string to datetime
DateTime is the datetime column in the dataframe
dt.date is used to convert datetime to date
Date column is the new column to get the date from the datetime
Example: Python program to convert datetime to date using pandas through date function
Python3
# importing pandas moduleimport pandas as pd # create pandas DataFrame with one column with five# datetime values through a dictionarydf = pd.DataFrame({'DateTime': ['2021-01-15 20:02:11',                                '1989-05-24 20:34:11',                                '2020-01-18 14:43:24',                                '2021-01-15 20:02:10',                                '1999-04-04 20:34:11']}) print("Original data")print(df) # convert datetime column to just datedf['Date'] = pd.to_datetime(df['DateTime']).dt.date # displayprint("Only date")print(df)
Output:
we can also get the datatypes by using dtypes
Example: Python program to get the datatypes
Python3
# importing pandas moduleimport pandas as pd # create pandas DataFrame with one column with five# datetime values through a dictionarydf = pd.DataFrame({'DateTime': ['2021-01-15 20:02:11',                                '1989-05-24 20:34:11',                                '2020-01-18 14:43:24',                                '2021-01-15 20:02:10',                                '1999-04-04 20:34:11']}) print("---------Original data------------")print(df.dtypes) # convert datetime column to just datedf['Date'] = pd.to_datetime(df['DateTime']).dt.date # displayprint("--------Only date---------")print(df.dtypes)
Output:
we can get by also using normalize() method, this method is used to normalize the data by extracting the date from DateTime. We are using normalize() method to get the data through pandas
Syntax:
dataframe[‘Date’] = pd.to_datetime(dataframe[‘DateTime’]).dt.normalize()
where,
dataframe is the input dataframe
to_datetime is the function used to convert datetime string to datetime
DateTime is the datetime column in the dataframe
dt.normalize() is the function which  is used to convert datetime to date
Date column is the new column to get the date from the datetime
Example: Python code to convert datetime to date using pandas normalize() method.
Python3
# importing pandas moduleimport pandas as pd # create pandas DataFrame with one column with five# datetime values through a dictionarydf = pd.DataFrame({'DateTime': ['2021-01-15 20:02:11',                                '1989-05-24 20:34:11',                                '2020-01-18 14:43:24',                                '2021-01-15 20:02:10',                                '1999-04-04 20:34:11']}) print("Original data")print(df) # convert datetime column to just date using normalize()# methoddf['Date'] = pd.to_datetime(df['DateTime']).dt.normalize() # displayprint("date extracted")print(df)
Output:
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