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. Python3

# 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. Python3

# 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. Python3

# 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. Python3

# 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.