Python | Pandas TimedeltaIndex.take()

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.take() function return a new Index of the values selected by the indices. We generally pass a list of indices to be taken. It is used for internal compatibility with numpy arrays.

Syntax : TimedeltaIndex.take(indices, axis=0, allow_fill=True, fill_value=None, **kwargs)



Parameters :
indices : list Indices to be taken
axis : The axis over which to select values, always 0.
allow_fill : bool, default True
fill_value : bool, default None ,If allow_fill=True and fill_value is not None, indices specified by -1 is regarded as NA. If Index doesn’t hold NA, raise ValueError

Return : Object of same type

Example #1: Use TimedeltaIndex.take() function to return a new TimedeltaIndex object containing only selected values in it.

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# 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)

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Output :

Now we will use the TimedeltaIndex.take() function to select some specific values from tidx.

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# select specific values.
tidx.take([2, 3, 4])

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Output :

As we can see in the output, the TimedeltaIndex.take() function has returned a new TimedeltaIndex object which contains only those elements whose locations has been passed to the function.
 
Example #2: Use TimedeltaIndex.take() function to return a new TimedeltaIndex object containing only selected values in it.

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# 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
tidx

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Output :

Now we will use the TimedeltaIndex.take() function to select some specific values from tidx.

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# select specific values.
tidx.take([0, 1, 2])

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Output :

As we can see in the output, the TimedeltaIndex.take() function has returned a new TimedeltaIndex object which contains only those elements whose locations has been passed to the function.



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