Python | Pandas TimedeltaIndex.copy
Last Updated :
28 Dec, 2018
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.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' , periods = 5 ,
freq = 'N' , name = 'Koala' )
print (tidx)
|
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’.
tidx_copy = tidx.copy(name = 'New_koala' )
print (tidx_copy)
|
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.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , '+23:59:59.999999' ,
'22 day 2 min 3us 10ns' , None ])
print (tidx)
|
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.
tidx_copy = tidx.copy(dtype = 'str' , name = 'New_koala' )
print (tidx_copy)
|
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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