Python | Pandas Timestamp.date
Last Updated :
08 Jan, 2019
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.
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