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# Pandas | unique method

schedule Aug 10, 2023
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Pandas `unique(~)` method returns the unique values of the input array. The order of the returned values follow their original order in the input array.

# Parameters

1. `values`link | `array-like`

The input array. Typically this is a standard list, a Series or a NumPy array.

# Return Value

The return type depends on the type of `values`:

Input type

Return type

Index

Index

Categorical

Categorical

Array-like

Numpy array

# Examples

## Basic usage

To find the unique values of a Series:

``` s = pd.Series([7,6,5,7])pd.unique(s) array([7, 6, 5]) ```

Note the following:

• the unique values respect the original ordering

• the return type is a Numpy array since the input is a list

## Unique tuples

As you would expect, a pair of tuples is considered to be unique when at least one pair of items does not match up:

``` s = pd.Series([("A","B"),("B","B"),("A","B")])pd.unique(s) array([('A', 'B'), ('B', 'B')], dtype=object) ```
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