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.

See also

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]))