cupy.meshgrid#
- cupy.meshgrid(*xi, **kwargs)[source]#
Return coordinate matrices from coordinate vectors.
Given one-dimensional coordinate arrays
x1, x2, ... , xn
this function makes N-D grids.For one-dimensional arrays
x1, x2, ... , xn
with lengthsNi = len(xi)
, this function returns(N1, N2, N3, ..., Nn)
shaped arrays if indexing=’ij’ or(N2, N1, N3, ..., Nn)
shaped arrays if indexing=’xy’.Unlike NumPy, CuPy currently only supports 1-D arrays as inputs.
- Parameters
xi (tuple of ndarrays) – 1-D arrays representing the coordinates of a grid.
indexing ({'xy', 'ij'}, optional) – Cartesian (‘xy’, default) or matrix (‘ij’) indexing of output.
sparse (bool, optional) – If
True
, a sparse grid is returned in order to conserve memory. Default isFalse
.copy (bool, optional) – If
False
, a view into the original arrays are returned. Default isTrue
.
- Returns
list of cupy.ndarray
See also