# numpy.unique_all#

numpy.unique_all(x)[source]#

Find the unique elements of an array, and counts, inverse and indices.

This function is an Array API compatible alternative to:

```>>> x = np.array([1, 1, 2])
>>> np.unique(x, return_index=True, return_inverse=True,
...           return_counts=True, equal_nan=False)
(array([1, 2]), array([0, 2]), array([0, 0, 1]), array([2, 1]))
```
Parameters:
xarray_like

Input array. It will be flattened if it is not already 1-D.

Returns:
outnamedtuple

The result containing:

• values - The unique elements of an input array.

• indices - The first occurring indices for each unique element.

• inverse_indices - The indices from the set of unique elements that reconstruct x.

• counts - The corresponding counts for each unique element.

`unique`

Find the unique elements of an array.

Examples

```>>> import numpy as np
>>> np.unique_all([1, 1, 2])
UniqueAllResult(values=array([1, 2]),
indices=array([0, 2]),
inverse_indices=array([0, 0, 1]),
counts=array([2, 1]))
```