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.rename()
function set new names on index. It defaults to returning new index.
Syntax : TimedeltaIndex.rename(name, inplace=False)
Parameters : None
name : [str or list] name to set
inplace : if True, mutates in placeReturn : new index (of same type and class…etc) [if inplace, returns None]
Example #1: Use TimedeltaIndex.rename()
function to rename the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , None , '22 day 2 min 3us 10ns' , '+23:59:59.999999' , None , '+12:19:59.999999' ], name = 'Old' ) # Print the TimedeltaIndex object print (tidx) |
Output :
Now we will use the TimedeltaIndex.rename()
function to rename the tidx object.
# rename the tidx object tidx.rename(name = 'New_object' ) |
Output :
As we can see in the output, the TimedeltaIndex.rename()
function has returned a new index and has set the name attribute of the TimedeltaIndex object.
Example #2: Use TimedeltaIndex.rename()
function to rename the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ None , '1 days 06:05:01.000030' , None , '1 days 02:00:00' , '21 days 06:15:01.000030' ], name = 'Old_object' ) # Print the TimedeltaIndex object print (tidx) |
Output :
Now we will use the TimedeltaIndex.rename()
function to rename the tidx object.
# rename the tidx object tidx.rename(name = 'New_object' ) |
Output :
As we can see in the output, the TimedeltaIndex.rename()
function has returned a new index and has set the name attribute of the TimedeltaIndex object.