On Tue, Nov 8, 2011 at 8:53 PM, Benjamin Root wrote:
> On Tuesday, November 8, 2011, Skipper Seabold wrote:
>> On Tue, Nov 8, 2011 at 6:13 PM, Benjamin Root wrote:
>>>
>>> On Tue, Nov 8, 2011 at 4:55 PM, Skipper Seabold
>>> wrote:
Hi,
Two related questions. Consider this plo
thanks, will look at these options.
On Fri, Nov 4, 2011 at 10:21 AM, Matt S. wrote:
> I've used Pyshapelib and Polygon to do this type of analysis in the past.
> Thuban may get ya what you need.
>
> On Thu, Nov 3, 2011 at 3:40 PM, questions anon
> wrote:
>
>> Hi All,
>> Is there a way to selec
On Tuesday, November 8, 2011, Skipper Seabold wrote:
> On Tue, Nov 8, 2011 at 6:13 PM, Benjamin Root wrote:
>>
>> On Tue, Nov 8, 2011 at 4:55 PM, Skipper Seabold
wrote:
>>>
>>> Hi,
>>>
>>> Two related questions. Consider this plot
>>>
>>> -
>>>
>>> import matplotlib.pyplot as plt
>>> from mp
On Tue, Nov 8, 2011 at 6:13 PM, Benjamin Root wrote:
>
> On Tue, Nov 8, 2011 at 4:55 PM, Skipper Seabold wrote:
>>
>> Hi,
>>
>> Two related questions. Consider this plot
>>
>> -
>>
>> import matplotlib.pyplot as plt
>> from mpl_toolkits.mplot3d import Axes3D
>>
>> fig = plt.figure()
>> ax = f
On Tue, Nov 8, 2011 at 4:55 PM, Skipper Seabold wrote:
> Hi,
>
> Two related questions. Consider this plot
>
> -
>
> import matplotlib.pyplot as plt
> from mpl_toolkits.mplot3d import Axes3D
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> ax.plot([1,0,0,1],[0,1,0,0],[0,0
On Tue, Nov 8, 2011 at 4:50 PM, Alejandro Weinstein <
alejandro.weinst...@gmail.com> wrote:
> Hi:
>
> I am trying to use the event associated to motion_notify_event in a 3D
> plot, and I found that the event does not have the zdata property.
>
> The following code illustrate the problem:
>
> #
Hi,
Two related questions. Consider this plot
-
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot([1,0,0,1],[0,1,0,0],[0,0,1,0])
ax.set_xlim3d(0,1)
ax.set_ylim3d(0,1)
#ax.set_ylim3d(1,0)
ax.set_zlim
Hi:
I am trying to use the event associated to motion_notify_event in a 3D
plot, and I found that the event does not have the zdata property.
The following code illustrate the problem:
##
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
def
OK, soon I found out that m.xmax... are dependant on projection, and I
wasn't using Lambert projection
For default projection result are degrees and this way meters it sems
On Tue, Nov 8, 2011 at 9:13 PM, klo uo wrote:
> from http://matplotlib.github.com/basemap/users/examples.html:
>
>
from http://matplotlib.github.com/basemap/users/examples.html:
from mpl_toolkits.basemap import Basemap, shiftgrid, cm
import numpy as np
import matplotlib.pyplot as plt
from netCDF4 import Dataset
# read in etopo5 topography/bathymetry.
etopodata =\
Datas
On Tue, Nov 8, 2011 at 11:18 AM, Andres Ordonez <
andres.felipe.ordo...@gmail.com> wrote:
> I'm not sure this is the right place to report this, so if it isn't
> please redirect it to the right place and let me know where the right
> place is.
>
>
>
> The anim.py link
>
> http://matplotlib.sourcef
Hi,
I have recently installed Python 32/64bit from Python.org and then I proceeded
to install bumpy, scipy, matplotlib and igraph on it. But the Matplotlib does
not show the plots even if it opens a Figure window. Here is a summary of what
I had done in my installation:
-
I first did a "cle
I'm not sure this is the right place to report this, so if it isn't
please redirect it to the right place and let me know where the right
place is.
The anim.py link
http://matplotlib.sourceforge.net/examples/anim.py
located at
http://www.scipy.org/Cookbook/Matplotlib/Animations
doesn't work.
Ben,
Adjusting mew sorted it out. Somewhere along the line, I'd changed
lines.markeredgewidth in my matplotlibrc to 0, so it wasn't drawing the lines.
Now I know the caps are drawn as a dashed marker, it meant that the lines
around it weren't being drawn (or rather they were, but with zero widt
On Tue, Nov 8, 2011 at 9:57 AM, Blake, James wrote:
> Dear MPL gurus,
>
> I've probably failed to RTFM properly.
>
> I'm trying to produce error bars with horizontal lines at the top of the
> vertical error bars to cap them. I've tried adjusting capsize on both
> plt.bar and plt.errorbar, but have
Dear MPL gurus,
I've probably failed to RTFM properly.
I'm trying to produce error bars with horizontal lines at the top of the
vertical error bars to cap them. I've tried adjusting capsize on both
plt.bar and plt.errorbar, but have not had any success. I think I had
this working previously with
For speed in the Agg backend the markers are drawn once and then copied
as rasters to all of their positions. This implies that the markers end
up pixel aligned, which is the source of the error you're seeing. This
does not happen in the vector backends.
If you want to not get this behavior,
Unfortunately, the matplotlib mathtext renderer does not support
\begin{array} (or any of the \begin{}/\end{} tags for that matter).
You'll probably want to experiment with one of the other math plugins
for sphinx described here:
http://sphinx.pocoo.org/ext/math.html
Mike
On 11/08/2011 05:5
+- Yoshi Rokuko ---+
> this works in principle, but however i can't increase
> the size of the grid.
>
> even if i try something like:
>
> fig = plt.figure(1, (15,18))
> fig.subplots_adjust(left=0.01, bottom=0.01,
> right=0.99, top=0.99)
> g
Hi,
first of all, thanks for matplotlib!Then, the question. After reading this
http://matplotlib.sourceforge.net/sampledoc/extensions.html
I've tried to use something like:
.. math:: \left| \begin{array}{cc} x_{11} & x_{12} \\ x_{21} & x_{22}
\end{array} \right|but it doesn't work.
Can yo
Hi,
Thanks to the help from Christoph, I have been able to build
matplotlib-1.1.0 on both Win XP-32 and 64.
I have noticed though, that quite a few warnings are produced when the
source is compiled. Is this something that the core developers would
like to fix, or is it a 'don't care' thing?
+-- Benjamin Root ---+
> Why not something like this:
>
> fig = plt.figure()
> grid = AxesGrid(...)
> bm = Basemap(...)
> for ax in grid :
> x, y = bm(lon, lat)
> ax.scatter(x, y, vmin=globalmin, vmax=globalmax)
>
> I do variations of this all the time.
Th
22 matches
Mail list logo
