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.days_in_month attribute returns an Index object. The Index contains the number of days in the month for each element in the given PeriodIndex object.
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Syntax : PeriodIndex.days_in_month
Parameters : None
Return : IndexÂ
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Example #1: Use PeriodIndex.days_in_month attribute to find the number of days in the month for each element in the given PeriodIndex object.
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Python3
# importing pandas as pdimport pandas as pdÂ
# Create the PeriodIndex objectpidx = pd.PeriodIndex(start ='2005-12-21',             end ='2005-12-29', freq ='D')Â
# Print the PeriodIndex objectprint(pidx) |
Output :Â
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Now we will use the PeriodIndex.days_in_month attribute to find the number of days in the month for each element in the given object.
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Python3
# return the number of days in monthpidx.days_in_month |
Output :Â
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As we can see in the output, the PeriodIndex.days_in_month attribute has returned an Index object containing the number of days in the month for each element in the given PeriodIndex object.
Example #2: Use PeriodIndex.days_in_month attribute to find the number of days in the month for each element in the given PeriodIndex object.
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Python3
# importing pandas as pdimport pandas as pdÂ
# Create the PeriodIndex objectpidx = pd.PeriodIndex(start ='2011-02-14 ',             end ='2011-02-21', freq ='D')Â
# Print the PeriodIndex objectprint(pidx) |
Output :Â
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Now we will use the PeriodIndex.days_in_month attribute to find the number of days in the month for each element in the given object.
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Python3
# return the number of days in monthpidx.days_in_month |
Output :Â
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As we can see in the output, the PeriodIndex.days_in_month attribute has returned an Index object containing the number of days in the month for each element in the given PeriodIndex object.
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