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 placeReturn : 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.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='11 days 22:14:12.001124', periods = 5, freq ='T')   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.set_names() function to set the name of the given TimedeltaIndex object.
# set the name of the 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.
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Example #2: Use TimedeltaIndex.set_names() function to set the names of the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='03 days 09:22:56', periods = 5, freq ='H')   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.set_names() function to set the name of the given TimedeltaIndex object.
# set the name of the 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.
