unravel_index(indices, shape, order='C')

Parameters

indices : array_like

An integer array whose elements are indices into the flattened version of an array of dimensions shape . Before version 1.6.0, this function accepted just one index value.

shape : tuple of ints

The shape of the array to use for unraveling indices .

versionchanged

Renamed from dims to shape .

order : {'C', 'F'}, optional

Determines whether the indices should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order.

versionadded

Returns

unraveled_coords : tuple of ndarray

Each array in the tuple has the same shape as the indices array.

Converts a flat index or array of flat indices into a tuple of coordinate arrays.

See Also

ravel_multi_index

Examples

>>> np.unravel_index([22, 41, 37], (7,6))
(array([3, 6, 6]), array([4, 5, 1]))

>>> np.unravel_index([31, 41, 13], (7,6), order='F')
(array([3, 6, 6]), array([4, 5, 1]))

>>> np.unravel_index(1621, (6,7,8,9))
(3, 1, 4, 1)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ravel_multi_index numpy.argmax scipy.signal._signaltools.correlate2d numpy.core._multiarray_umath.ravel_multi_index numpy.argmin

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