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Python | Pandas DatetimeIndex.time

  • Last Updated : 24 Dec, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas DatetimeIndex.time attribute outputs an Index object containing the time values present in each of the entries of the DatetimeIndex object.

Syntax: DatetimeIndex.time

Return: numpy array of python datetime.time

Example #1: Use DatetimeIndex.time attribute to find the time part of the DatetimeIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the DatetimeIndex
# Here 'H' represents hourly frequency
didx = pd.DatetimeIndex(start ='2000-01-10 06:30', freq ='H'
                            periods = 3, tz ='Asia/Calcutta')
  
# Print the DatetimeIndex
print(didx)

Output :

Now we want to find all the time part of DatetimeIndex object.




# find all the time values present in the object
didx.time

Output :

As we can see in the output, the function has returned an Index object containing the time values present in each entry of the DatetimeIndex object.
 
Example #2: Use DatetimeIndex.time attribute to find the time part of the DatetimeIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the DatetimeIndex
# Here 's' represents secondly frequency
didx = pd.DatetimeIndex(start ='2014-08-01 10:05:45', freq ='S',
                              periods = 5, tz ='Asia/Calcutta')
  
# Print the DatetimeIndex
print(didx)

Output :

Now we want to find all the time part of DatetimeIndex object.




# find all the time values present in the object
didx.time

Output :

As we can see in the output, the function has returned an Index object containing the time values present in each entry of the DatetimeIndex object.

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