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Python | Pandas TimedeltaIndex.delete

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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.delete() function make a new DatetimeIndex with passed location deleted. The function can delete more than one locations at a time. It takes the index of the label to be deleted as the parameter.

Syntax : TimedeltaIndex.delete(loc)

Parameters :
loc : Indicate which sub-arrays to remove.

Return : new_index : TimedeltaIndex

Example #1: Use TimedeltaIndex.delete() function to delete the passed index from the TimedeltaIndex object.




# 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', None])
  
# Print the TimedeltaIndex object
print(tidx)


Output :

Now we will use the TimedeltaIndex.delete() function to delete the value at 1st index.

Note : The index value begins from 0.




# delete the passed index
tidx.delete(1)


Output :

As we can see in the output, the TimedeltaIndex.delete() function has deleted the passed index and has returned a new object.
 
Example #2: Use TimedeltaIndex.delete() function to delete the passed index from the TimedeltaIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the first TimedeltaIndex object
tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 8,
                                             freq ='N', name ='Koala')
  
# Print the TimedeltaIndex object
print(tidx)


Output :

Now we will use the TimedeltaIndex.delete() function to delete the value at the passed index.

Note : The index value begins from 0.




# delete the passed indexes
tidx.delete([2, 3, 4])


Output :

As we can see in the output, the TimedeltaIndex.delete() function has deleted the passed indexes and has returned a new object.



Last Updated : 28 Dec, 2018
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