flopscope.numpy.unravel_index
fnp.unravel_index(*args, **kwargs)[flopscope source]
Converts a flat index or array of flat indices into a tuple of coordinate arrays.
Adapted from NumPy docs np.unravel_index
Cost
0
Flopscope Context
Convert flat index to multi-dimensional index.
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.
- order:{'C', 'F'}, optional
Determines whether the indices should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order.
Returns
- unraveled_coords:tuple of ndarray
Each array in the tuple has the same shape as the indices array.
See also
Examples
>>> import flopscope.numpy as fnp
>>> flops.unravel_index([22, 41, 37], (7,6))
(array([3, 6, 6]), array([4, 5, 1]))
>>> flops.unravel_index([31, 41, 13], (7,6), order='F')
(array([3, 6, 6]), array([4, 5, 1]))>>> flops.unravel_index(1621, (6,7,8,9))
(3, 1, 4, 1)