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,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 elementsthat reconstructx.

  • counts - The corresponding counts for each unique element.

See also

unique

Find the unique elements of an array.

Examples

>>>importnumpyasnp>>>x=[1,1,2]>>>uniq=np.unique_all(x)>>>uniq.valuesarray([1, 2])>>>uniq.indicesarray([0, 2])>>>uniq.inverse_indicesarray([0, 0, 1])>>>uniq.countsarray([2, 1])
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