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.isocalendar()
function return a 3-tuple containing ISO year, week number, and weekday for the given Timestamp object.
Syntax :Timestamp.isocalendar()
Parameters : None
Return : Tuple
Example #1: Use Timestamp.isocalendar()
function to return the date of the given Timestamp object based on ISO calendar.
# 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.isocalendar()
function to return the date in ts object based on ISO calendar.
# return the date as an ISO calendar ts.isocalendar() |
Output :
As we can see in the output, the Timestamp.isocalendar()
function has returned a tuple containing the year, week number and the week day for the given Timestamp object.
Example #2: Use Timestamp.isocalendar()
function to return the date of the given Timestamp object based on ISO calendar.
# 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.isocalendar()
function to return the date in ts object based on ISO calendar
# return the date as an ISO calendar ts.isocalendar() |
Output :
As we can see in the output, the Timestamp.isocalendar()
function has returned a tuple containing the year, week number and the week day for the given Timestamp object.