Python | Pandas PeriodIndex.weekofyear
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.weekofyear
attribute return an Index object containing the ordinal value of week of each period element for the given PeriodIndex object.
Syntax : PeriodIndex.weekofyear
Parameters : None
Return : Index object
Example #1: Use PeriodIndex.weekofyear
attribute to find out the ordinal value of week of each period element contained in the given PeriodIndex object.
import pandas as pd
pidx = pd.PeriodIndex(start = '2004-11-11 02:45:21 ' ,
end = '2004-11-21 8:45:29' , freq = 'D' )
print (pidx)
|
Output :
Now we will use the PeriodIndex.weekofyear
attribute to find out the week’s ordinal value in the year for the given PeriodIndex object.
Output :
As we can see in the output, the PeriodIndex.weekofyear
attribute has returned an Index object containing the ordinal value of the week for each period element contained in the given PeriodIndex object.
Example #2: Use PeriodIndex.weekofyear
attribute to find out the ordinal value of week of each period element contained in the given PeriodIndex object.
import pandas as pd
pidx = pd.PeriodIndex(start = '2016-2-12 11:12:02' ,
end = '2016-09-12 11:32:12' , freq = 'M' )
print (pidx)
|
Output :
Now we will use the PeriodIndex.weekofyear
attribute to find out the week’s ordinal value in the year for the given PeriodIndex object.
Output :
As we can see in the output, the PeriodIndex.weekofyear
attribute has returned an Index object containing the ordinal value of the week for each period element contained in the given PeriodIndex object.
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