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.sort_values()
function return a sorted copy of the given TimedeltaIndex object.
Syntax : TimedeltaIndex.sort_values(return_indexer=False, ascending=True)
Parameters :
ascending : decides orderReturn : object of same type
Example #1: Use TimedeltaIndex.sort_values()
function to sort the given TimedeltaIndex object in ascending order.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '3 days 10:22:56' , '1 days 06:05:01.000030' ,
'19 days 12:22:56' , '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.sort_values()
function to sort tidx object.
# sort the values in the given # object in ascending order tidx.sort_values() |
Output :
As we can see in the output, the TimedeltaIndex.sort_values()
function has returned an object which is sorted in ascending order.
Example #2: Use TimedeltaIndex.sort_values()
function to sort the given TimedeltaIndex object in descending order.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '3 days 10:22:56' , '1 days 06:05:01.000030' ,
'19 days 12:22:56' , '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.sort_values()
function to sort tidx object.
# sort the values in the given object in descending order tidx.sort_values(ascending = False )
|
Output :
As we can see in the output, the TimedeltaIndex.sort_values()
function has returned an object which is sorted in descending order.