/// <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(x1.size, 1), x2.reshape(1, x2.size) };
if (kwargs.indexing == "xy" && ndim > 1)
{
// Switch first and second axis
output = new NDArray[] { x1.reshape(1, x1.size), x2.reshape(x2.size, 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 void MeshgridTest()
{
NDArray X = np.array(0, 1, 2);
NDArray y = np.array(0, 1);
Kwargs kw = new Kwargs();
kw.indexing = "xy";
kw.sparse = false;
var(xx, yy) = np.meshgrid(X, y, kw);
// Assert.IsTrue(xx, np.array(new int[,] { { 0,1,2}, { 0,1,2} }));
// Assert.IsTrue(yy, np.array(new int[,] { { 0, 0, 0 }, { 1, 1, 1 } }));
}
