Python | Pandas TimedeltaIndex.get_values

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.get_values() function return the underlying data as an ndarray of the given TimedeltaIndex object.

Syntax : TimedeltaIndex.get_values()

Parameters : None

Return : ndarray

Example #1: Use TimedeltaIndex.get_values() function to return the underlying data of the given TimedeltaIndex object as an ndarray.

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# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['3 days 06:05:01.000030', '1 days 06:05:01.000030'
                                '3 days 06:05:01.000030', '1 days 02:00:00',
                                                 '21 days 06:15:01.000030'])
  
# Print the TimedeltaIndex object
print(tidx)

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Output :

Now we will use the TimedeltaIndex.get_values() function to return the data of tidx as an ndarray

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# return data as an ndarray
tidx.get_values()

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Output :

As we can see in the output, the TimedeltaIndex.get_values() function has returned the data of the tidx object as an ndarray.
 
Example #2: Use TimedeltaIndex.get_values() function to return the underlying data of the given TimedeltaIndex object as an ndarray.

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# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '3 days 06:05:01.000030',
                                '22 day 2 min 3us 10ns', '+23:59:59.999999',
                             '13 days 06:05:01.000030', '+12:19:59.999999'])
  
# Print the TimedeltaIndex object
print(tidx)

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Output :

Now we will use the TimedeltaIndex.get_values() function to return the data of tidx as an ndarray

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# return data as an ndarray
tidx.get_values()

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Output :

As we can see in the output, the TimedeltaIndex.get_values() function has returned the data of the tidx object as an ndarray.



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