/// <summary>
/// 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.
/// .. versionchanged:: 1.9
/// 1-D and 0-D cases are allowed.
/// </summary>
/// <param name="x1"> 1-D arrays representing the coordinates of a grid</param>
/// /// <param name="x2"> 1-D arrays representing the coordinates of a grid</param>
/// <returns></returns>
public static (NDArray, NDArray) meshgrid(NDArray x1, NDArray x2, Kwargs kwargs = null)
{
if (kwargs == null)
{
kwargs = new Kwargs();
}
int ndim = 2;
var s0 = (1, 1);
var output = new NDArray[] { x1.reshape(-1, 1), x2.reshape(1, -1) };
if (kwargs.indexing == "xy" && ndim > 1)
{
// Switch first and second axis
output[0].reshape(1, -1);
output[1].reshape(-1, 1);
}
if (!kwargs.sparse)
{
// Return the full N-D matrix(not only the 1 - D vector)
output = np.broadcast_arrays(output[0], output[1], true);
}
if (kwargs.copy)
{
}
return(output[0], output[1]);
}
public NDArray reshape(NDArray nd, params int[] shape)
{
nd.reshape(shape);
return(nd);
}
public static NDArray squeeze(NDArray nd, int axis = -1)
{
return(nd.reshape(nd.shape.Where(x => x > 1).ToArray()));
}