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Python | Pandas PeriodIndex.month

  • Last Updated : 06 Jan, 2019

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.

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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)

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.




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