Python | Pandas Period.week
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 Period.week
attribute returns an integer value which represents the week number in which the given period lies.
Syntax : Period.week
Parameters : None
Return : week of the year
Example #1: Use Period.week
attribute to find out the week in which the given period object would lie.
import pandas as pd
prd = pd.Period(freq = 'S' , year = 2000 , month = 2 , day = 22 ,
hour = 8 , minute = 21 , second = 24 )
print (prd)
|
Output :
Now we will use the Period.week
attribute to find the week in which prd object lies.
Output :
As we can see in the output, the Period.week
attribute has returned 8 indicating the following period object lies in the 8th week of the given year.
Example #2: Use Period.week
attribute to find out the week in which the given period object would lie.
import pandas as pd
prd = pd.Period(freq = 'S' , year = 2006 , month = 10 ,
hour = 15 , minute = 49 , second = 17 )
print (prd)
|
Output :
Now we will use the Period.week
attribute to find the week in which prd object lies.
Output :
As we can see in the output, the Period.week
attribute has returned 39 indicating the following period object lies in the 39th week of the given year.
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