class documentation
nd_grid
instance which returns a dense multi-dimensional "meshgrid".
An instance of numpy.lib.index_tricks.nd_grid
which returns an dense
(or fleshed out) mesh-grid when indexed, so that each returned argument
has the same shape. The dimensions 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.
See Also
lib.index_tricks.nd_grid
- class of
ogrid
andmgrid
objects ogrid
- like mgrid but returns open (not fleshed out) mesh grids
meshgrid
- return coordinate matrices from coordinate vectors
r_
- array concatenator
how-to-partition
Examples
>>> np.mgrid[0:5, 0:5] array([[[0, 0, 0, 0, 0], [1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4]], [[0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4]]]) >>> np.mgrid[-1:1:5j] array([-1. , -0.5, 0. , 0.5, 1. ])
Returns | |
mesh-grid ndarrays all of the same dimensions |
Method | __init__ |
Undocumented |
Inherited from nd_grid
:
Method | __getitem__ |
Undocumented |
Instance Variable | sparse |
Undocumented |