Pandas function Timestamp.to_datetime64()
returns a numpy.datetime64 object with precision & # 39; ns & # 39; for a given Timestamp object.
Syntax: Timestamp.to_datetime64 ()
Parameters: None
Return: numpy.datetime64 object
Example # 1: Use the Timestamp.to_datetime64 () function
to return a numpy.datetime64 object for a given Timestamp object.
# import pandas as pd import pandas as pd # Create Timestamp object ts = pd.Timestamp (year = 2011 , month = 11 , day = 21 , hour = 10 , second = 49 , tz = ’US / Central’ ) # Print Timestamp object print (ts) |
Output:
We will now use the Timestamp.to_datetime64 ()
function to return a numpy.datetime64 object for a given timestamp.
# return object numpy.datetime64 ts.to_datetime64 () |
Output:
As we can see from the output, the Timestamp.to_datetime64 () function
returned a numpy.datetime64 object for the given Timestamp object with ns precision.
Example # 2: Use the Timestamp.to_datetime64 ()
to return a numpy.datetime64 object for a given Timestamp object.
# import pandas as pd import pandas as pd # Create 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:
We will now use the Timestamp.to_datetime64 ()
function to return a numpy.datetime64 object for a given timestamp.
# return a numpy.datetime64 object ts.to_datetime64 () |
Output:
As we can see from the output, the Timestamp.to_datetime64 ()
function returned a numpy.datetime64 object for the given Timestamp object with ns precision.
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