Hi all, linspace is useful for one-dimensional objects. Is there something similar for surfaces ? I would like to build a uniform mesh on a cube (-R,R)^3 I mean collocation points uniformly distributed on each side of the cube. Nils
On Thu, 16 Mar 2006, Nils Wagner wrote:
Hi all,
linspace is useful for one-dimensional objects. Is there something similar for surfaces ? I would like to build a uniform mesh on a cube (-R,R)^3 I mean collocation points uniformly distributed on each side of the cube.
What about numpy.mgrid? Arnd
Arnd Baecker wrote:
On Thu, 16 Mar 2006, Nils Wagner wrote:
Hi all,
linspace is useful for one-dimensional objects. Is there something similar for surfaces ? I would like to build a uniform mesh on a cube (-R,R)^3 I mean collocation points uniformly distributed on each side of the cube.
What about numpy.mgrid?
Arnd
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That hits the spot, but how can I distribute N**2 points in the open domain, that is points should not lie on the edges of the cube. Please can you fill the gaps in X,Y,Z = mgrid[ ..., ..., ...] Thanks in advance Nils
Arnd Baecker wrote:
On Thu, 16 Mar 2006, Nils Wagner wrote:
Hi all,
linspace is useful for one-dimensional objects. Is there something similar for surfaces ? I would like to build a uniform mesh on a cube (-R,R)^3 I mean collocation points uniformly distributed on each side of the cube.
What about numpy.mgrid?
Arnd
_______________________________________________ SciPy-user mailing list SciPy-user@scipy.net http://www.scipy.net/mailman/listinfo/scipy-user
X,Y = mgrid[linspace(-0.4,0.4,10),linspace(-0.4,0.4,10)] Traceback (most recent call last): File "<stdin>", line 1, in ? File "/usr/lib64/python2.4/site-packages/numpy/lib/index_tricks.py",
I tried line 89, in __getitem__ step = key[k].step AttributeError: 'numpy.ndarray' object has no attribute 'step' Nils
Nils Wagner wrote:
X,Y = mgrid[linspace(-0.4,0.4,10),linspace(-0.4,0.4,10)]
Traceback (most recent call last): File "<stdin>", line 1, in ? File "/usr/lib64/python2.4/site-packages/numpy/lib/index_tricks.py", line 89, in __getitem__ step = key[k].step AttributeError: 'numpy.ndarray' object has no attribute 'step'
mgrid doesn't take sequences it takes "slice notation" mgrid[-0.4:0.4:10j, -0.4:0.4:10j] should work -Travis
participants (3)
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Arnd Baecker -
Nils Wagner -
Travis Oliphant