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.isoweekday() function return the day of the week represented by the date. where days of the week are numbered from Monday being 1 to Sunday being 7.
Syntax :Timestamp.isoweekday()
Parameters : None
Return : weekday
Example #1: Use Timestamp.isoweekday() function to find the day of the week for the date in the given Timestamp object.
# 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.isoweekday() function to find the day of the week for the date in ts object.
# return the day of the week ts.isoweekday() |
Output :
As we can see in the output, the Timestamp.isoweekday() function has returned 1 indicating that the date in the given Timestamp object is Monday.
Example #2: Use Timestamp.isoweekday() function to find the day of the week for the date in the given Timestamp object.
# 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.isoweekday() function to find the day of the week for the date in ts object.
# return the day of the week ts.isoweekday() |
Output :
As we can see in the output, the Timestamp.isoweekday() function has returned 7 indicating that the date in the given Timestamp object is Sunday.