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.
