If you have ps.useafm set to True, (and text.usetex set to False),
the mathtext renderer will stick to the standard 35 ps fonts, with the
obvious limitations in the number of symbols available, and no radical
signs, etc. By default, all math is serif (in this case Times). You
can force
I can confirm that this is broken in 0.98.3 and fixed in SVN. It's not
clear if a simple patch is possible -- the fix actually extends over a
number of changesets.
If you're able to build from SVN, I'm rather certain that should resolve
this issue. Otherwise, you may have to wait for the
I want to change the size of the lat/lon labels on a Basemap map, and
from the documentation, it seems like this ought to be possible using
drawparallels() and drawmeridians() with a keword argument, e.g.:
linmap.drawparallels(range(-90,90,30), labels=[1,0,0,1], fontsize='x-
small')
but
Dear ALL,
I want to plot lines (edges) between a sequence of points (nodes),
using the following code:
from pylab import *
import matplotlib.pyplot as plt
nodes = load('nodes.dat')
edges = load('edges.dat')
n = nodes.shape[0]
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
Does anybody have a good method for implementing cyclic boundaries in
matplotlib axes?
It's easy when plotting points to just mod() the values before sending
them to the plot, but when drawing lines or patches, it would be nice
if there were an underlying mechanism for intelligently
Hello Mauro,
I am not just trying,
Sorry for disregarding your using the term trying.
I am indeed implementing a software package
for species distribution mapping and biogeographic analysis, using
wxPython/Matplotlib.
Thanks for being more specific. There is another program aiming at
Hi matplotlib users,
The script below produces weird arrows when using numpy 1.2.1 and
matplotlib trunk. When I reinstall numpy 1.2.0 instead it seems fine.
I use the Agg backend. I am not sure where to start in tracking the
bug down so I will just post the rather sparse information that I
have.
Jesper Larsen wrote:
Hi matplotlib users,
The script below produces weird arrows when using numpy 1.2.1 and
matplotlib trunk. When I reinstall numpy 1.2.0 instead it seems fine.
I use the Agg backend. I am not sure where to start in tracking the
bug down so I will just post the rather
