unique() to get unique values from a series

unique(): Pandas DataFrame

Pandas

We will get unique values and its frequency as series.

Parameters

values: 1-D array input.

Examples with Parameters

The name of classes ( unique )

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex','Ron','King','Jack'],
         'ID':[1,2,3,4,5,6],
         'GAME':['CRICKET','TENNIS','CRICKET','HOCKEY','CRICKET','TENNIS'],
         'CLASS1':['Four','Three','Three','Four','Five','Three']}
my_data = pd.DataFrame(data=my_dict)
print(my_data['CLASS1'].unique())

Output

['Four' 'Three' 'Five']

We will get unique games played by students.

print(my_data['GAME'].unique())

Output

['CRICKET' 'TENNIS' 'HOCKEY']

What are the number of unique data ( use nunique() ).

print(my_data['CLASS1'].nunique())

Output

value_counts()

Pandas DataFrame cut() segment and sort data values into bins

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