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.year attribute return the year in which the date in the given Timestamp object lies.
Syntax : Timestamp.year Parameters : None Return : year
Example #1: Use Timestamp.year attribute to find the year in which the date present in 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 year ts.year |
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 year ts.year |
Output :