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Module « numpy »

Fonction ravel_multi_index - module numpy

Signature de la fonction ravel_multi_index

Description

help(numpy.ravel_multi_index)

ravel_multi_index(multi_index, dims, mode='raise', order='C')

Converts a tuple of index arrays into an array of flat
indices, applying boundary modes to the multi-index.

Parameters
----------
multi_index : tuple of array_like
    A tuple of integer arrays, one array for each dimension.
dims : tuple of ints
    The shape of array into which the indices from ``multi_index`` apply.
mode : {'raise', 'wrap', 'clip'}, optional
    Specifies how out-of-bounds indices are handled.  Can specify
    either one mode or a tuple of modes, one mode per index.

    * 'raise' -- raise an error (default)
    * 'wrap' -- wrap around
    * 'clip' -- clip to the range

    In 'clip' mode, a negative index which would normally
    wrap will clip to 0 instead.
order : {'C', 'F'}, optional
    Determines whether the multi-index should be viewed as
    indexing in row-major (C-style) or column-major
    (Fortran-style) order.

Returns
-------
raveled_indices : ndarray
    An array of indices into the flattened version of an array
    of dimensions ``dims``.

See Also
--------
unravel_index

Examples
--------
>>> import numpy as np
>>> arr = np.array([[3,6,6],[4,5,1]])
>>> np.ravel_multi_index(arr, (7,6))
array([22, 41, 37])
>>> np.ravel_multi_index(arr, (7,6), order='F')
array([31, 41, 13])
>>> np.ravel_multi_index(arr, (4,6), mode='clip')
array([22, 23, 19])
>>> np.ravel_multi_index(arr, (4,4), mode=('clip','wrap'))
array([12, 13, 13])

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

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