Python | Pandas TimedeltaIndex.sort_values
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.
