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.unique() function return all the unique values in the given TimedeltaIndex object. All the unique values are returned in the order of their appearance, it does not sort the values.
Syntax : TimedeltaIndex.unique( values = None)
Parameters :
values : 1d array-likeReturn : unique values.
Example #1: Use TimedeltaIndex.unique() function to return all the unique values in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999', '22 day 2 min 3us 10ns', '06:05:01.000030', '+12:19:59.999999']) # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.unique() function to find all the unique values in the tidx object.
# return unique values. tidx.unique() |
Output :
As we can see in the output, the TimedeltaIndex.unique() function has returned an index object containing all the unique values present in the given TimedeltaIndex object.
Example #2: Use TimedeltaIndex.unique() function to return all the unique values in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['3 days 06:05:01.000030','1 days 06:05:01.000030', '3 days 06:05:01.000030', '1 days 06:05:01.000030', '21 days 06:15:01.000030']) # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.unique() function to find all the unique values in the tidx object.
# return unique values. tidx.unique() |
Output :
As we can see in the output, the TimedeltaIndex.unique() function has returned an index object containing all the unique values present in the given TimedeltaIndex object.
