matplotlib-users Mailing List for matplotlib

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 reply to e-mail without putting much thought
into it.
Thanks!
-Joe
On Thu, Dec 4, 2014 at 8:58 PM, Brendan Barnwell <bre...@br...>
wrote:
> On 2014年12月04日 15:40, Joe Kington wrote:
> > Nbagg is non-interactive, similar to Agg. No events other than draw
> events
> > are supported, as far as I know.
>
> If that's the case, the release notes should probably make that
> clear.
> Right now at
> http://matplotlib.org/users/whats_new.html#the-nbagg-backend it says:
> "Phil Elson added a new backend, named "nbagg", which enables
> interactive figures in a live IPython notebook session." The word
> "interactive" certainly could lead people to believe that the backend
> is, in fact, interactive.
>
> --
> Brendan Barnwell
> "Do not follow where the path may lead. Go, instead, where there is no
> path, and leave a trail."
> --author unknown
>
>
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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:
http://matplotlib.org/api/tri_api.html
http://matplotlib.org/examples/pylab_examples/tricontour_demo.html
Even the mplot3d toolkit has (limited) support:
http://matplotlib.org/examples/mplot3d/trisurf3d_demo.html
I hope that helps!
Ben Root
On Fri, Dec 5, 2014 at 11:38 AM, Sappy85 <rob...@gm...> wrote:
> 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()
>
> <http://matplotlib.1069221.n5.nabble.com/file/n44560/help3.png>
>
> or this:
>
> import numpy as np
> import matplotlib
> matplotlib.use('Agg')
>
> from matplotlib.patches import Polygon
> from matplotlib.collections import PatchCollection
> import matplotlib.pyplot as plt
>
> fig, ax = plt.subplots()
>
> patches = []
> x = np.random.rand(3)
> y = np.random.rand(3)
>
> for i in range(3):
> polygon = Polygon(np.random.rand(3,2), True)
> patches.append(polygon)
>
>
> colors = 100*np.random.rand(len(patches))
> p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
> p.set_array(np.array(colors))
> ax.add_collection(p)
> plt.colorbar(p)
> plt.grid()
> plt.savefig('/var/www/img/help2.png', bbox_inches='tight',pad_inches=0.05)
>
> <http://matplotlib.1069221.n5.nabble.com/file/n44560/help2.png>
>
> Regards,
> Sappy85
>
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/Patch-facecolors-tp44558p44560.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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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 = data*0.01
lats, lons = grb.latlons()
fig = plt.figure()
m = Basemap(projection='stere',lon_0=5,lat_0=90.0,\
 
llcrnrlon=-25.0,urcrnrlon=60.0,llcrnrlat=30.0,urcrnrlat=60.0,resolution='l')
x, y = m(lons, lats)
levs = range(940,1065,5)
S1=plt.contour(x,y,datac,levs,linewidths=0.5,colors='b')
plt.clabel(S1,inline=1,inline_spacing=0,fontsize=8,fmt='%1.0f',colors='b')
m.drawmapboundary(fill_color='w')
m.drawcoastlines(linewidth=0.2)
plt.savefig('test.png', bbox_inches='tight',pad_inches=0.05, dpi=100) 
Regards,
Sappy85
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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()
<http://matplotlib.1069221.n5.nabble.com/file/n44560/help3.png> 
or this:
import numpy as np
import matplotlib
matplotlib.use('Agg')
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
patches = []
x = np.random.rand(3)
y = np.random.rand(3)
for i in range(3):
 polygon = Polygon(np.random.rand(3,2), True)
 patches.append(polygon)
colors = 100*np.random.rand(len(patches))
p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
p.set_array(np.array(colors))
ax.add_collection(p)
plt.colorbar(p)
plt.grid()
plt.savefig('/var/www/img/help2.png', bbox_inches='tight',pad_inches=0.05)
<http://matplotlib.1069221.n5.nabble.com/file/n44560/help2.png> 
Regards, 
Sappy85
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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 <rob...@gm...> wrote:
> 
> 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 
> 
> 
> 
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Pyplot-contour-plot-clabel-padding-tp44554p44557.html
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> 
> ------------------------------------------------------------------------------
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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 have a not-structured grid whose elements
are irregular rectangles. I would like to plot a 3D surface of the values
on each points of the grid.
Thanks in advance to everyone

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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On 2014年12月04日 15:40, Joe Kington wrote:
> Nbagg is non-interactive, similar to Agg. No events other than draw events
> are supported, as far as I know.
	If that's the case, the release notes should probably make that clear. 
 Right now at 
http://matplotlib.org/users/whats_new.html#the-nbagg-backend it says: 
"Phil Elson added a new backend, named "nbagg", which enables 
interactive figures in a live IPython notebook session." The word 
"interactive" certainly could lead people to believe that the backend 
is, in fact, interactive.
-- 
Brendan Barnwell
"Do not follow where the path may lead. Go, instead, where there is no 
path, and leave a trail."
 --author unknown

Hi
Your code wans't included, but try setting your x and y limits *before* the call to clabel. I think that the problem is that clabel makes a space in the contours according to how large your font is, but if you then resize the plot (zoom in) then the blank space is too large for the labels. 
Cheers, Jody
> On Dec 4, 2014, at 17:47 PM, Sappy85 <rob...@gm...> wrote:
> 
> I have trouble with matplotlib / pyplot / basemap. I plot contour lines (air
> pressure) on a map. I use clabel to show the value of the contour lines. But
> the problem: the padding between the value and the contour line is too much.
> I have found the parameter "inline_spacing", which i have set to zero. But
> there is still to much free space. Any ideas?
> 
> <http://matplotlib.1069221.n5.nabble.com/file/n44554/mslp.png> 
> 
> My code is as follows:
> 
> 
> 
> 
> Thanks a lot. 
> 
> 
> 
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Pyplot-contour-plot-clabel-padding-tp44554.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
> 
> ------------------------------------------------------------------------------
> Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
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> with Interactivity, Sharing, Native Excel Exports, App Integration & more
> Get technology previously reserved for billion-dollar corporations, FREE
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> _______________________________________________
> Matplotlib-users mailing list
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I have trouble with matplotlib / pyplot / basemap. I plot contour lines (air
pressure) on a map. I use clabel to show the value of the contour lines. But
the problem: the padding between the value and the contour line is too much.
I have found the parameter "inline_spacing", which i have set to zero. But
there is still to much free space. Any ideas?
<http://matplotlib.1069221.n5.nabble.com/file/n44554/mslp.png> 
My code is as follows:
Thanks a lot. 
--
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