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.minute attribute return an Index object containing the minute value for each period in the given PeriodIndex object.
Syntax : PeriodIndex.minute
Parameters : None
Return : Index object
Example #1: Use PeriodIndex.minute attribute to find out the minute value for each period in the given PeriodIndex object.
# importing pandas as pd import pandas as pd   # Create the PeriodIndex object pidx = pd.PeriodIndex(start ='2003-12-21 08:45 ',                end ='2003-12-21 8:55', freq ='T')   # Print the PeriodIndex object print(pidx) |
Output :
Now we will use the PeriodIndex.minute attribute to find out the minute value for each period in pidx.
# find minute value pidx.minute |
Output :
As we can see in the output, the PeriodIndex.minute attribute has an index object containing the minute value for each period in the given PeriodIndex object.
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Example #2: Use PeriodIndex.minute attribute to find out the minute value for each period in the given PeriodIndex object.
# importing pandas as pd import pandas as pd   # Create the PeriodIndex object pidx = pd.PeriodIndex(start ='2016-02-1 11:32',            end ='2016-02-01 11:55', freq ='T')   # Print the PeriodIndex object print(pidx) |
Output :
Now we will use the PeriodIndex.minute attribute to find out the minute value for each period in pidx.
# find minute value pidx.minute |
Output :
As we can see in the output, the PeriodIndex.minute attribute has an index object containing the minute value for each period in the given PeriodIndex object.
