Python | Pandas TimedeltaIndex.copy

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.copy() function make a copy of this TimedeltaIndex object. The function also sets the Name and dtype attributes on the new object

Syntax : TimedeltaIndex.copy(name=None, deep=False, dtype=None, **kwargs)

Parameters :
name : string, optional
deep : boolean, default False
dtype : numpy dtype or pandas type

Return : copy : Index

Example #1: Use TimedeltaIndex.copy() function to make a copy of the given TimedeltaIndex object.

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# importing pandas as pd
import pandas as pd
  
# Create the first TimedeltaIndex object
tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 5,
                                            freq ='N', name ='Koala')
  
# Print the TimedeltaIndex object
print(tidx)

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Output :

Now we will use the TimedeltaIndex.copy() function to make a copy of the tidx object and will set the name of the copied object to ‘New_koala’.

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# make a copy and set the name
tidx_copy = tidx.copy(name ='New_koala')
  
# print the new object
print(tidx_copy)

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Output :

As we can see in the output, the TimedeltaIndex.copy() function has made a copy of the object and the function has also set the name.
 
Example #2: Use TimedeltaIndex.copy() function to check if the passed label is present in the Index or not.

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

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Output :

Now we will use the TimedeltaIndex.copy() function to make a copy of the tidx object and will set the name of the copied object to ‘New_koala’. We will also change the dtype of the object to str.

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# make a copy, set the name and change the dtype
tidx_copy = tidx.copy(dtype ='str', name ='New_koala')
  
# print the new object
print(tidx_copy)

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Output :

As we can see in the output, the TimedeltaIndex.copy() function has made a copy of the object and also notice the dtype of the new object.



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