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 Timestamp.weekofyear attribute return an integer value which is the ordinal value of the week in which the date of the given Timestamp object lies.
Syntax : Timestamp.weekofyear Parameters : None Return : week of year
Example #1: Use Timestamp.weekofyear attribute to find the ordinal value of the week in which the date of the given Timestamp object lies.
# importing pandas as pd import pandas as pd
# Create the Timestamp object ts = pd.Timestamp(year = 2011 , month = 11 , day = 21 ,
hour = 10 , second = 49 , tz = 'US/Central' )
# Print the Timestamp object print (ts)
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Output :
# return the week number ts.weekofyear |
Output :
# importing pandas as pd import pandas as pd
# Create the Timestamp object ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 ,
hour = 4 , second = 49 , tz = 'Europe/Berlin' )
# Print the Timestamp object print (ts)
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Output :
# return the week number ts.weekofyear |
Output :