[Numpy-discussion] Create a n-D grid; meshgrid alternative
njs at pobox.com
Sun May 10 20:44:33 EDT 2015
On Sun, May 10, 2015 at 4:40 AM, Stefan Otte <stefan.otte at gmail.com> wrote:
> quite often I want to evaluate a function on a grid in a n-D space.
> What I end up doing (and what I really dislike) looks something like this:
> x = np.linspace(0, 5, 20)
> M1, M2 = np.meshgrid(x, x)
> X = np.column_stack([M1.flatten(), M2.flatten()])
> X.shape # (400, 2)
> I don't think I ever used `meshgrid` in any other way.
> Is there a better way to create such a grid space?
I feel like our "house style" has moved away from automatic
flattening, and would maybe we should be nudging people towards
something more like
# using proposed np.stack from pull request #5605
X = np.stack(np.meshgrid(x, x), axis=-1)
assert X.shape == (20, 20, 2)
fancy_function(X) # vectorized to accept any array with shape (..., 2)
Nathaniel J. Smith -- http://vorpus.org
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