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.month attribute return an Index object containing the month value for each period in the given PeriodIndex object. The month are numbered as January=1 to December=12.
Syntax : PeriodIndex.month
Parameters : None
Return : Index object
Example #1: Use PeriodIndex.month attribute to find out the month 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 ='2003-4-21 08:45 ',
end ='2003-12-21 8:55', freq ='M')
# Print the PeriodIndex object print(pidx)
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Output :
Now we will use the PeriodIndex.month attribute to find out the month value for each period in pidx.
# return month value pidx.month |
Output :
As we can see in the output, the PeriodIndex.month attribute has an index object containing the month value for each period in the given PeriodIndex object.
Example #2: Use PeriodIndex.month attribute to find out the month 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 ='2016-8-12 11:32',
end ='2017-04-05 11:55', freq ='M')
# Print the PeriodIndex object print(pidx)
|
Output :
Now we will use the PeriodIndex.month attribute to find out the month value for each period in pidx.
# return month value pidx.month |
Output :
As we can see in the output, the PeriodIndex.month attribute has an index object containing the month value for each period in the given PeriodIndex object.