Python | Pandas TimedeltaIndex.set_names
Last Updated :
06 Jan, 2019
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.set_names()
function is used to set new names on the given TimedeltaIndex object. The function defaults to returning new index object.
Syntax : TimedeltaIndex.set_names(names, level=None, inplace=False)
Parameters :
names : name(s) to set
level : If the index is a MultiIndex (hierarchical), level(s) to set (None for all levels). Otherwise level must be None
inplace : if True, mutates in place
Return : new index (of same type and class…etc) [if inplace, returns None]
Example #1: Use TimedeltaIndex.set_names()
function to set the names of the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '11 days 22:14:12.001124' , periods = 5 , freq = 'T' )
print (tidx)
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Output :
Now we will use the TimedeltaIndex.set_names()
function to set the name of the given TimedeltaIndex object.
tidx.set_names(names = 'Sale_Point' )
|
Output :
As we can see in the output, the TimedeltaIndex.set_names()
function has returned a new object and it has also set the name of the returned object.
Example #2: Use TimedeltaIndex.set_names()
function to set the names of the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '03 days 09:22:56' , periods = 5 , freq = 'H' )
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.set_names()
function to set the name of the given TimedeltaIndex object.
tidx.set_names(names = 'Purchase_Time' )
|
Output :
As we can see in the output, the TimedeltaIndex.set_names()
function has returned a new object and it has also set the name of the returned object.
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