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.second attribute return an Index object containing the second values for each period element present in the given PeriodIndex object.
Syntax : PeriodIndex.second
Parameters : None
Return : Index object
Example #1: Use PeriodIndex.second attribute to find out the second values present in each period element in the given PeriodIndex object.
# importing pandas as pd import pandas as pd # Create the PeriodIndex object pidx = pd.PeriodIndex(start ='2004-11-21 08:45:21 ', end ='2004-11-21 8:45:29', freq ='S') # Print the PeriodIndex object print(pidx) |
Output :
Now we will use the PeriodIndex.second attribute to find out the second values for each period element in pidx object.
# return the second values pidx.second |
Output :
As we can see in the output, the PeriodIndex.second attribute has returned seconds object containing the seconds value for each period in the given PeriodIndex object.
Example #2: Use PeriodIndex.second attribute to find out the second values present in each period element in the given PeriodIndex object.
# importing pandas as pd import pandas as pd # Create the PeriodIndex object pidx = pd.PeriodIndex(start ='2016-8-12 11:32:02', end ='2016-08-12 11:32:12', freq ='S') # Print the PeriodIndex object print(pidx) |
Output :
Now we will use the PeriodIndex.second attribute to find out the second values for each period element in pidx object.
# return the second values pidx.second |
Output :
As we can see in the output, the PeriodIndex.second attribute has returned an Index object containing the seconds value for each period in the given PeriodIndex object.
