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Python | Pandas Timestamp.to_pydatetime

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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.



Last Updated : 27 Jan, 2019
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