bundles / numpy 2.5.0.dev0+git20251130.2de293a / numpy / lib / _index_tricks_impl / MGridClass
class
numpy.lib._index_tricks_impl:MGridClass
source: build-install/usr/lib/python3.14/site-packages/numpy/lib/_index_tricks_impl.py :211
Signature
class MGridClass ( ) Members
Summary
An instance which returns a dense multi-dimensional "meshgrid".
Extended Summary
An instance which returns a 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.
Returns
mesh-grid: ndarrayA single array, containing a set of ndarrays all of the same dimensions. stacked along the first axis.
Examples
import numpy as np
✓np.mgrid[0:5, 0:5]
✗np.mgrid[-1:1:5j]
✓np.mgrid[0:4].shape np.mgrid[0:4, 0:5].shape np.mgrid[0:4, 0:5, 0:6].shape✓
See also
- how-to-partition
ref
- meshgrid
return coordinate matrices from coordinate vectors
- ogrid
like
mgridbut returns open (not fleshed out) mesh grids- r_
array concatenator
Aliases
-
numpy.lib._index_tricks_impl.MGridClass