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numpy.ma.indices(dimensions, dtype=)[source] -
Return an array representing the indices of a grid.
Compute an array where the subarrays contain index values 0,1,... varying only along the corresponding axis.
Parameters: dimensions : sequence of ints
The shape of the grid.
dtype : dtype, optional
Data type of the result.
Returns: grid : ndarray
The array of grid indices,
grid.shape = (len(dimensions),) + tuple(dimensions).See also
mgrid,meshgridNotes
The output shape is obtained by prepending the number of dimensions in front of the tuple of dimensions, i.e. if
dimensionsis a tuple(r0, ..., rN-1)of lengthN, the output shape is(N,r0,...,rN-1).The subarrays
grid[k]contains the N-D array of indices along thek-thaxis. Explicitly:1grid[k,i0,i1,...,iN-1]=ikExamples
123456789>>> grid=np.indices((2,3))>>> grid.shape(2,2,3)>>> grid[0]# row indicesarray([[0,0,0],[1,1,1]])>>> grid[1]# column indicesarray([[0,1,2],[0,1,2]])The indices can be used as an index into an array.
12345>>> x=np.arange(20).reshape(5,4)>>> row, col=np.indices((2,3))>>> x[row, col]array([[0,1,2],[4,5,6]])Note that it would be more straightforward in the above example to extract the required elements directly with
x[:2, :3].
numpy.ma.indices()
2025-01-10 15:47:30
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