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Python | Pandas Timestamp.weekofyear

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  • Last Updated : 08 Jan, 2019
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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)


Output :

Now we will use the Timestamp.weekofyear attribute to find ordinal value of the week




# return the week number
ts.weekofyear


Output :

As we can see in the output, the Timestamp.weekofyear attribute has returned 47 indicating that the date in the give Timestamp object falls in the 47th week of the year.

Example #2: 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 = 2009,  month = 5, day = 31
        hour = 4, second = 49, tz = 'Europe/Berlin')
  
# Print the Timestamp object
print(ts)


Output :

Now we will use the Timestamp.weekofyear attribute to find ordinal value of the week




# return the week number
ts.weekofyear


Output :

As we can see in the output, the Timestamp.weekofyear attribute has returned 22 indicating that the date in the give Timestamp object falls in the 22nd week of the year.


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