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Python | Pandas PeriodIndex.start_time
  • Last Updated : 06 Jan, 2019
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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 PeriodIndex.start_time attribute return a DatetimeIndex object containing the start time of each period element in the given PeriodIndex object.

Syntax : PeriodIndex.start_time

Parameters : None

Return : DatetimeIndex object



Example #1: Use PeriodIndex.start_time attribute to find out the start time of each period in the given PeriodIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2004-11-21 02:45:21 ',
              end ='2004-11-21 8:45:29', freq ='H')
  
# Print the PeriodIndex object
print(pidx)

Output :

Now we will use the PeriodIndex.start_time attribute to find out the start time of each period in pidx object.




# return the start time
pidx.start_time

Output :

As we can see in the output, the PeriodIndex.start_time attribute has returned a DatetimeIndex object containing the start time for each period in the given PeriodIndex object.
 
Example #2: Use PeriodIndex.start_time attribute to find out the start time of each period in the given PeriodIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2016-8-12 11:12:02',
            end ='2016-08-12 11:32:12', freq ='T')
  
# Print the PeriodIndex object
print(pidx)

Output :

Now we will use the PeriodIndex.start_time attribute to find out the start time of each period in pidx object.




# return the start time
pidx.start_time

Output :

As we can see in the output, the PeriodIndex.start_time attribute has returned a DatetimeIndex object containing the start time for each period in the given PeriodIndex object.

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