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.to_pydatetime()
function convert a Timestamp object to a native Python datetime object.
Syntax :Timestamp.to_pydatetime()
Parameters :
warn : boolean
Return : datetime object
Example #1: Use Timestamp.to_pydatetime()
function to convert the given Timestamp to a native python 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.to_pydatetime()
function to convert the given Timestamp to python’s datetime object.
# convert to datetime ts.to_pydatetime() |
Output :
As we can see in the output, the Timestamp.to_pydatetime()
function has returned a native python datetime object constructed from the given Timestamp object.
Example #2: Use Timestamp.to_pydatetime()
function to convert the given Timestamp to a native python 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.to_pydatetime()
function to convert the given Timestamp to python’s datetime object.
# convert to datetime ts.to_pydatetime() |
Output :
As we can see in the output, the Timestamp.to_pydatetime()
function has returned a native python datetime object constructed from the given Timestamp object.