Trama Mgrid Numpy 2020

numpy.mgrid — NumPy v1.15 Manual - SciPy.

numpy.mgrid¶ numpy.mgrid = ¶ 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. numpy.mgrid¶ numpy.mgrid = ¶ 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. numpy.mgrid¶ numpy.mgrid = ¶ 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. numpy.mgrid¶ numpy.mgrid = ¶ 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.

numpy.mgrid numpy.mgrid = Instancia nd_grid que devuelve un denso "meshgrid" multidimensional. Una instancia de numpy.lib.index_tricks.nd_grid que devuelve una cuadrícula de malla densa o desarrollada cuando se indexa, de modo que cada argumento devuelto tenga la misma forma. Las dimensiones y el número de las matrices de salida son iguales al. numpy.mgrid function. The mgrid function is used to get 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. numpy.mgrid is an object of the MGridClass in numpy/index_tricks.py. This object allows you to construct multi-dimensional meshgrids, as you already know. MGridClass extends the nd_grid class, which implements a __getitem__ method. Teams. Q&A for Work. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

numpy.ogrid¶ numpy.ogrid = ¶ nd_grid instance which returns an open multi-dimensional “meshgrid”. 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. numpy.meshgrid¶ numpy.meshgrid xi, kwargs [source] ¶ Return coordinate matrices from coordinate vectors. Make N-D coordinate arrays for vectorized evaluations of N-D scalar/vector fields over N-D grids, given one-dimensional coordinate arrays x1, x2, xn. numpy.mgrid = ¶ 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.

numpy.mgrid — NumPy v1.v0 Manual.

I have been using numpy.mgrid for a while and I am familiar with what it does. But ever since, I have been wondering what it actually is. A typical use case and syntax for mgrid would be xx, y. numpy.meshgrid¶ numpy.meshgrid xi, copy=True, sparse=False, indexing='xy' [source] ¶ Return coordinate matrices from coordinate vectors. Make N-D coordinate arrays for vectorized evaluations of N-D scalar/vector fields over N-D grids, given one-dimensional coordinate arrays x1, x2, xn.

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