Hi Jody,
what exactly du you mean - the plot windows size?
I tried this:
fig = plt.figure(figsize=(8.4,5.76))
But still the same problem.
Regards
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Dear matplotlib users,
I would like to know if there is in matplotlib the following Matlab
function:
*p=patch(x(TRI'),y(TRI'),u(TRI'),u(TRI'));*
*set(p,'FaceColor','interp','EdgeColor','black');*
where TRI are the coordinate of many non regular rectangles.
I would like to do that because I
I meant plt.xlim and plt.ylim. But its hard to tell what the problem is w/o
some sample code.
Cheers, Jody
On Dec 5, 2014, at 1:07 AM, Sappy85 robert.wittk...@gmx.de wrote:
Hi Jody,
what exactly du you mean - the plot windows size?
I tried this:
fig =
Hi Jody,
i have posted the code. Here again:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import pygrib
filename = file.grib2
grbs = pygrib.open('/data/' + filename)
grb= grbs[2]
data = grb.values
datac
I am a bit confused. Your variable is TRI, but you keep saying
rectangles. You are also referring to unstructured rectangles, which makes
zero sense to me. Do you mean triangles?
If you, matplotlib has the tri- family of functions and a whole module
devoted to triangulation-related tasks:
Hi diedro,
try something like this:
import matplotlib.patches as patches
import matplotlib.pyplot as plt
fig= plt.figure()
ax= fig.add_subplot(111)
verts = [0.2,0.8], [0.1,0.5], [0.7,0.1]
poly = patches.Polygon(verts, ec='r', fc='g')
ax.add_patch(poly)
plt.show()
Woops! You're absolutely right! I was completely confused!
I mixed up the new nbagg backend with the way ipython notebooks used to
display matplotlib figures. The nbagg backend is indeed interactive (and I
have no idea why key press callbacks aren't supported, then).
This is what happens when I
