An instance of numpy.lib.index_tricks.nd_grid
which returns an open (i.e. not fleshed out) mesh-grid when indexed, so that only one dimension of each returned array is greater than 1. The dimension and number of the output arrays are equal to the number of indexing dimensions. If the step length is not a complex number, then the stop is not inclusive.
However, if the step length is a complex number (e.g. 5j), then the integer part of its magnitude is interpreted as specifying the number of points to create between the start and stop values, where the stop value is inclusive.
:None:None:`ndarrays` with only one dimension not equal to 1
nd_grid
instance which returns an open multi-dimensional "meshgrid".
mgrid
like :None:None:`ogrid` but returns dense (or fleshed out) mesh grids
np.lib.index_tricks.nd_grid
class of :None:None:`ogrid` and :None:None:`mgrid` objects
r_
array concatenator
>>> from numpy import ogrid
... ogrid[-1:1:5j] array([-1. , -0.5, 0. , 0.5, 1. ])
>>> ogrid[0:5,0:5] [array([[0], [1], [2], [3], [4]]), array([[0, 1, 2, 3, 4]])]See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.where
skimage.restoration._denoise.denoise_tv_chambolle
matplotlib.cbook._unfold
skimage.restoration.unwrap.unwrap_phase
dask.array.overlap.sliding_window_view
matplotlib.cbook._array_perimeter
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