I'm totally in favor of the 'gridspace(linspaces)' version, as you probably end up wanting to create grids of other things than linspaces (e.g. a logspace grid, or a grid of random points etc.).
It should be called somewhat different though. Maybe 'cartesian(arrays)'? Best, Johannes Quoting Stefan Otte (2015-05-10 16:05:02) > I just drafted different versions of the `gridspace` function: > https://tmp23.tmpnb.org/user/1waoqQ8PJBJ7/notebooks/2015-05%20gridspace.ipynb > > > Beste Grüße, > Stefan > > > > On Sun, May 10, 2015 at 1:40 PM, Stefan Otte <stefan.o...@gmail.com> wrote: > > Hey, > > > > 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) > > > > fancy_function(X) > > > > I don't think I ever used `meshgrid` in any other way. > > Is there a better way to create such a grid space? > > > > I wrote myself a little helper function: > > > > def gridspace(linspaces): > > return np.column_stack([space.flatten() > > for space in np.meshgrid(*linspaces)]) > > > > But maybe something like this should be part of numpy? > > > > > > Best, > > Stefan > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Question: What is the weird attachment to all my emails? Answer: http://en.wikipedia.org/wiki/Digital_signature _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
