Python | Pandas TimedeltaIndex.to_pytimedelta()
Last Updated :
08 Apr, 2024
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
TimedeltaIndex.to_pytimedelta()
function return the given TimedeltaIndex object as an ndarray of datetime.timedelta objects.
Syntax : TimedeltaIndex.to_pytimedelta() Parameters : None Return : datetimes : ndarray
Example #1:
Use
TimedeltaIndex.to_pytimedelta()
function to convert the given TimedeltaIndex object into an ndarray.
Python3
# importing pandas as pd
import pandas as pd
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999',
'22 day 2 min 3us 10ns', '+23:29:59.999999',
'+12:19:59.999999'])
# Print the TimedeltaIndex object
print(tidx)
Output :
Now we will use the
TimedeltaIndex.to_pytimedelta()
function to return an ndarray constructed from the given TimedeltaIndex object.
Python3
# convert to datetime.timedelta
tidx.to_pytimedelta()
Output :
As we can see in the output, the
TimedeltaIndex.to_pytimedelta()
function has returned an array object containing the elements of the given TimedeltaIndex object as object type. Â
Example #2:
Use
TimedeltaIndex.to_pytimedelta()
function to convert the given TimedeltaIndex object into an ndarray.
Python3
# importing pandas as pd
import pandas as pd
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124',
periods = 5, freq ='D', name ='Koala')
# Print the TimedeltaIndex object
print(tidx)
Output :
Now we will use the
TimedeltaIndex.to_pytimedelta()
function to return an ndarray constructed from the given TimedeltaIndex object.
Python3
# convert to datetime.timedelta
tidx.to_pytimedelta()
Output :
As we can see in the output, the
TimedeltaIndex.to_pytimedelta()
function has returned an array object containing the elements of the given TimedeltaIndex object as object type.
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