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.dayofweek attribute return the value of day of the week in the given Timestamp object. The days are numbered from 0 to 6 where 0 is Monday and 6 is Sunday.
Syntax : Timestamp.dayofweek
Parameters : None
Return : day of week
Example #1: Use Timestamp.dayofweek attribute to find the day of the week in the given Timestamp object.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(2017, 1, 15, 12) # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.dayofweek attribute to find out the day of the week in the given Timestamp object.
# return day of the week ts.dayofweek |
Output :
As we can see in the output, the Timestamp.dayofweek attribute has returned 6 indicating that it is the last day of the week in the given Timestamp object.
Example #2: Use Timestamp.dayofweek attribute to find the day of the week in the given Timestamp object.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2009, month = 10, day = 21, tz = 'Europe/Berlin') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.dayofweek attribute to find out the day of the week in the given Timestamp object.
# return day of the week ts.dayofweek |
Output :
As we can see in the output, the Timestamp.dayofweek attribute has returned 2 indicating that the given date in the Timestamp object is Wednesday.
