Skip to content
Related Articles

Related Articles

Python | Pandas TimedeltaIndex.to_native_types()
  • Last Updated : 06 Jan, 2019
GeeksforGeeks - Summer Carnival Banner

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_native_types() function format the specified values of self (TimedeltaIndex object) and return the object in its native format.

Syntax : TimedeltaIndex.to_native_types(slicer=None, **kwargs)

Parameters :
slicer : An indexer into self that specifies which values are used in the formatting process.(int, array-like)
kwargs : Options for specifying how the values should be formatted.(dict)

Return : Array object



Example #1: Use TimedeltaIndex.to_native_types() function to format the given TimedeltaIndex object to its native format.




# 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_native_types() function to format tidx to its native type.




# format tidx
tidx.to_native_types()

Output :

As we can see in the output, the TimedeltaIndex.to_native_types() function has returned an array object containing elements of dtype ‘<U23'.
 
Example #2: Use TimedeltaIndex.to_native_types() function to format the given TimedeltaIndex object to its native format.




# 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_native_types() function to format tidx to its native type.




# format tidx
tidx.to_native_types()

Output :

As we can see in the output, the TimedeltaIndex.to_native_types() function has returned an array object containing elements of dtype ‘<U22'.

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :