Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://numpy.org/doc/stable/reference/generated/numpy.unique_all.html below:

numpy.unique_all — NumPy v2.3 Manual

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, sorted=False)

but returns a namedtuple for easier access to each output.

Note

This function currently always returns a sorted result, however, this could change in any NumPy minor release.

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])

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4