Pandas Series.dt.date



Python | Pandas Series.dt.date

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.date attribute return a numpy array of python datetime.date objects.

Syntax: Series.dt.date

Parameter : None

Returns : numpy array

Example #1: Use Series.dt.date attribute to return the date property of the underlying data of the given Series object.

# importing pandas as pd
import pandas as pd
 
# Creating the Series
sr = pd.Series(['2012-10-21 09:30', '2019-7-18 12:30', '2008-02-2 10:30',
               '2010-4-22 09:25', '2019-11-8 02:22'])
 
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
 
# set the index
sr.index = idx
 
# Convert the underlying data to datetime 
sr = pd.to_datetime(sr)
 
# Print the series
print(sr)

Output :

Now we will use Series.dt.date attribute to return the date property of the underlying data of the given Series object.

# return the date
result = sr.dt.date
 
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.date attribute has successfully accessed and returned the date property of the underlying data in the given series object.

Example #2 : Use Series.dt.date attribute to return the date property of the underlying data of the given Series object.

# importing pandas as pd
import pandas as pd
 
# Creating the Series
sr = pd.Series(pd.date_range('2012-12-12 12:12'
                       periods = 5, freq = 'H'))
 
# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']
 
# set the index
sr.index = idx
 
# Print the series
print(sr)

Output :

Now we will use Series.dt.date attribute to return the date property of the underlying data of the given Series object.

# return the date
result = sr.dt.date
 
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.date attribute has successfully accessed and returned the date property of the underlying data in the given series object.

 

Last Updated on October 19, 2021 by admin

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