Pandas unique()

In this tutorial, we will learn about the unique() method in Pandas with the help of examples.

The unique() method in Pandas is used to obtain unique elements of a Series.

Example

import pandas as pd

# create a Series
data = pd.Series([1, 2, 3, 2, 4, 3, 5, 6, 5])


# use unique() to get unique elements 
unique_values = data.unique()


print(unique_values)

# Output: [1 2 3 4 5 6]

unique() Syntax

The syntax of the unique() method in Pandas is:

Series.unique()

unique() Return Value

The unique() method returns an array containing the unique values found in the Series.

Example1: Get Unique Elements of an Integer Series

import pandas as pd

# create a Series
int_series = pd.Series([10, 20, 10, 30, 20, 40])


# use unique() to get unique elements 
unique_values = int_series.unique()


print(unique_values)

Output

[10 20 30 40]

In the above example, we have applied the unique() method to int_series to find all unique elements.

Example 2: Get Unique Elements of an String Series

import pandas as pd

# create a Series
series_data = pd.Series(['apple', 'banana', 'apple', 'orange', 'banana', 'kiwi'])


# apply the unique() method
unique_fruits = series_data.unique()


print(unique_fruits)

Output

['apple' 'banana' 'orange' 'kiwi']

Here, upon applying the unique() method, the output is an array containing the unique fruit names: ['apple', 'banana', 'orange', 'kiwi'].