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.date() function return a datetime object with same year, month and day as that of the given Timestamp object.
Syntax : Timestamp.date()
Parameters : None
Return : date
Example #1: Use Timestamp.date() function to return the date of the given Timestamp object as a datetime 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.date() function to return the date as a datetime object.
# return as a datetime object ts.date() |
Output :
As we can see in the output, the Timestamp.date() function has returned a datetime object containing the same year, month and day as that of the given Timestamp object.
Example #2: Use Timestamp.date() function to return the date of the given Timestamp object as a datetime 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.date() function to return the date as a datetime object.
# return as a datetime object ts.date() |
Output :
As we can see in the output, the Timestamp.date() function has returned a datetime object containing the same year, month and day as that of the given Timestamp object.
