Hi matplotlib users,
Is it possible to disable antialiasing for a colorbar? If not directly is
it the possible to postprocess the axes instance to se antialiasing for
relevant elements?
The reason I am asking is because I would like to produce a paletted png
(using PIL) of the colorbar without
On 2014/09/30, 2:41 AM, Jesper Larsen wrote:
Hi matplotlib users,
Is it possible to disable antialiasing for a colorbar? If not directly
is it the possible to postprocess the axes instance to se antialiasing
for relevant elements?
The colorbar returns a Colorbar object, the solids attribute
Dear list,
I would like to display a 2D image in a mplot3d axe in order to combine
it with a surface3D or a bar3d plot for instance. The effect I am
looking for is similar to what can be seen in the bottom XY plane of
http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
except
I tried something like this awhile back to no avail. Because of the kludgy
nature of mplot3d, we are lucky we even can display 2d artists like
polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
Images are an entirely different beast, unfortunately.
What *might* work is
I'm using pip but even without it when I run setup.py build or setup.py
install in the matplotlib directory I get a segfault early in the run. If I
trace it, the seg fault is shortly after numbers.pyc is loaded from numpy,
but even if I uninstall numpy I still get a segfault when I try to install
