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  • numpy. meshgrid — NumPy v2. 3 Manual
    numpy meshgrid# numpy meshgrid (* xi, copy = True, sparse = False, indexing = 'xy') [source] # Return a tuple of coordinate matrices from coordinate vectors Make N-D coordinate arrays for vectorized evaluations of N-D scalar :
  • numpy. meshgrid — NumPy v2. 2 Manual
    numpy meshgrid (* xi, copy = True, sparse = False, indexing = 'xy') [source] # Return a tuple of 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. meshgrid — NumPy v1. 18 Manual
    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. meshgrid — NumPy v1. 25 Manual
    numpy meshgrid (* xi, copy = True, sparse = False, indexing = 'xy') [source] # Return a list of 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
  • How to create arrays with regularly-spaced values - NumPy
    The purpose of numpy meshgrid is to create a rectangular grid out of a set of one-dimensional coordinate arrays Given arrays: >>> x = np array ([ 0 , 1 , 2 , 3 ]) >>> y = np array ([ 0 , 1 , 2 , 3 , 4 , 5 ])
  • numpy. mgrid — NumPy v1. 23 Manual
    numpy mgrid# numpy mgrid = <numpy lib index_tricks MGridClass object> # 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. ogrid — NumPy v2. 3 Manual
    numpy ogrid# numpy ogrid = <numpy lib _index_tricks_impl OGridClass object> # An instance which returns an open multi-dimensional “meshgrid” An instance which returns an open (i e not fleshed out) mesh-grid when indexed, so
  • numpy. gradient — NumPy v2. 3 Manual
    Spacing can be also specified with an array that represents the coordinates of the values F along the dimensions For instance a uniform spacing: >>> x = np arange (f size) >>> np gradient (f, x) array([1 , 1 5, 2 5, 3 5, 4 5, 5 The varargs argument defines the spacing between sample points in the input array
  • Iterating over arrays — NumPy v2. 3 Manual
    Note Arrays support the iterator protocol and can be iterated over like Python lists See the Indexing, slicing and iterating section in the Quickstart guide for basic usage and examples The remainder of this document presents the nditer object and covers more advanced usage





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