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.dayofweek attribute returns an Index object containing the value of the days of the week for each element in the given PeriodIndex object. ‘0’ being the first day of the week and ‘6’ being the last day of the week.
Syntax : PeriodIndex.dayofweek
Parameters : None
Return : Index
Example #1: Use PeriodIndex.dayofweek attribute to find the value of the days of the week for each element in the given PeriodIndex object.
# importing pandas as pdimport pandas as pd
# Create the PeriodIndex objectpidx = pd.PeriodIndex(start ='2005-12-21',
end ='2005-12-29', freq ='D')
# Print the PeriodIndex objectprint(pidx)
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Output :
Now we will use the PeriodIndex.dayofweek attribute to find the value of days of the week for each element in the given object.
# return the value of days of the weekpidx.dayofweek |
Output :
As we can see in the output, the PeriodIndex.dayofweek attribute has returned an Index object containing the value of days of the week for each element in the given PeriodIndex object.
Example #2: Use PeriodIndex.dayofweek attribute to find the value of the days of the week for each element in the given PeriodIndex object.
# importing pandas as pdimport pandas as pd
# Create the PeriodIndex objectpidx = pd.PeriodIndex(start ='2011-03-14 ',
end ='2011-03-21', freq ='D')
# Print the PeriodIndex objectprint(pidx)
|
Output :
Now we will use the PeriodIndex.dayofweek attribute to find the value of days of the week for each element in the given object.
# return the value of days of the weekpidx.dayofweek |
Output :
As we can see in the output, the PeriodIndex.dayofweek attribute has returned an Index object containing the value of days of the week for each element in the given PeriodIndex object.