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.
