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 Index.unique() function return unique values in the index. Uniques are returned in order of appearance, this does NOT sort.
Syntax: Index.unique(level=None)
Parameters :
level : Only return values from specified level (for MultiIndex)Returns : Index without duplicates
Example #1: Use Index.unique() function to return unique values in the index.
# importing pandas as pd import pandas as pd # Creating the index idx = pd.Index(['Harry', 'Mike', 'Arther', 'Nick', 'Harry', 'Arther'], name ='Student') # Print the Index print(idx) |
Output :
Let’s find all the unique values in the Index.
# find unique values in the index idx.unique() |
Output :
The function has returned a new index having all the unique values of the original index.
Example #2: Use Index.unique() function to find the unique values in the index
# importing pandas as pd import pandas as pd # Creating the index idx = pd.Index([21, 10, 30, 40, 50, 10, 50]) # Print the Index print(idx) |
Output :
Let’s find all the unique values in the index
# for finding the unique values in the index idx.unique() |
Output :
The function has returned a new index that contains all of the unique values in the original index.
