Python | Pandas DatetimeIndex.weekofyear
Last Updated :
24 Dec, 2018
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 DatetimeIndex.weekofyear
attribute outputs the ordinal value of the week of the year for each entries of the DatetimeIndex object.
Syntax: DatetimeIndex.weekofyear
Return: Index object
Example #1: Use DatetimeIndex.weekofyear
attribute to find the ordinal value of the week for each entries in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2000-01-10 06:30' , freq = 'W' ,
periods = 3 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find ordinal value of the week for each entries in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the ordinal values of the weeks present in each entry of the DatetimeIndex object.
Example #2: Use DatetimeIndex.weekofyear
attribute to find the ordinal value of the week for each entries in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:05:45' , freq = 'M' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find ordinal value of the week for each entries in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the ordinal values of the weeks present in each entry of the DatetimeIndex object.
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