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:

np.unique(x, return_index=True, return_inverse=True,
          return_counts=True, equal_nan=False)

but returns a namedtuple for easier access to each output.

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
>>> x = [1, 1, 2]
>>> uniq = np.unique_all(x)
>>> uniq.values
array([1, 2])
>>> uniq.indices
array([0, 2])
>>> uniq.inverse_indices
array([0, 0, 1])
>>> uniq.counts
array([2, 1])