On Nov 12, 2009, at 4:32 PM, Jae-Joon Lee wrote:
> shape = fig.canvas.get_width_height()[::-1] + (4,)
>
> im = np.frombuffer(fig.canvas.buffer_rgba(0,0),
> dtype=np.uint8).reshape(shape)
>
> Using buffer_rgba is more efficient than using tostring_rgb as no
> memory is allocated. B
Ryan Neve wrote:
> Eric,
>
> Here's a pcolor plot of the same data:
> contour_plot = pyplot.pcolor(x_grid,y_grid,z_grid_masked)
> http://imgur.com/iL4k7.png
It looks to me like this is more suitable for showing your data than
contourf would be.
>
> For contourf I'm using:
> contour_plot =
> p
On Thu, Nov 12, 2009 at 6:32 PM, Geoffrey Ely wrote:
> Thanks for the help. With that I get:
>
> AttributeError: 'function' object has no attribute '__buffer__'
>
>
shape = fig.canvas.get_width_height()[::-1] + (4,)
im = np.frombuffer(fig.canvas.buffer_rgba(0,0),
dtype=np.uint
Good evening.
I would like to be able to dock some figures into one window
and be able to look at them by tabs or something similar.
Is something like that already implemented or does someone know
of a widget that can do that?
If not ... do you have suggestions of how i could do that?
Thanks fo
Eric,
Here's a pcolor plot of the same data:
contour_plot = pyplot.pcolor(x_grid,y_grid,z_grid_masked)
http://imgur.com/iL4k7.png
For contourf I'm using:
contour_plot =
pyplot.contourf(x_grid,y_grid,z_grid_masked,contour_levels,origin='upper',\
extent=extent,cmap=pyplot.cm.jet)
... where the
On Nov 12, 2009, at 2:01 PM, Christopher Barker wrote:
> Geoffrey Ely wrote:
>> Hi, What is the best way to rasterize a figure into a numpy array for
>> further image processing?
>
> untested, but I suspect:
>> image =
>> numpy.frombuffer( fig.canvas.renderer.buffer_rgba).reshape( shape )
Thanks
On 2009-11-12 16:44 PM, Andrew Straw wrote:
> Robert Kern wrote:
>> On 2009-11-12 12:05 PM, Andrew Straw wrote:
>>
>>> Celil Rufat wrote:
>>>
I just installed matplotlib on Snow Leopard 10.6 with the Qt4 backend
(via macports). However, when I try one of the Qt4 examles:
python
Robert Kern wrote:
> On 2009-11-12 12:05 PM, Andrew Straw wrote:
>
>> Celil Rufat wrote:
>>
>>> I just installed matplotlib on Snow Leopard 10.6 with the Qt4 backend
>>> (via macports). However, when I try one of the Qt4 examles:
>>>
>>> python
>>> /opt/local/share/py26-matplotlib/examples/
On Wed, Nov 04, 2009 at 08:56:49PM +0100, qu...@gmx.at wrote:
> I would like to make a mplot3d.bar3d plot where the colour indicates
> the value of the element. Like: negative values blue, positive red,
> zero green. From what i see i can only give all bars the same
> color ... Is there a way arou
Geoffrey Ely wrote:
> Hi, What is the best way to rasterize a figure into a numpy array for
> further image processing?
untested, but I suspect:
> image = numpy.frombuffer( fig.canvas.renderer.buffer_rgba).reshape( shape )
might work -- something like that, anyway.
-CHB
--
Christopher Bark
On 2009-11-12 12:05 PM, Andrew Straw wrote:
> Celil Rufat wrote:
>> I just installed matplotlib on Snow Leopard 10.6 with the Qt4 backend
>> (via macports). However, when I try one of the Qt4 examles:
>>
>> python
>> /opt/local/share/py26-matplotlib/examples/user_interfaces/embedding_in_qt4.py
>>
>
I have installed Python 2.6.4 and matplotlib-0.99.1 on my windows machine (XP).
When trying to use Tkinter I get an error message that says it can not find
the right version of Tcl.
Where can I find the right binaries to load on my windows machine?
cheers, Dan
Daniel A. Klinglesmith III
Mag
Geoffrey Ely wrote:
> On Nov 12, 2009, at 10:03 AM, Eric Firing wrote:
>> Geoffrey Ely wrote:
>>> Ryan,
>>> I have noticed the same issue with contourf. It seems to be a thin
>>> gap between neighboring polygons showing through. You can turn on
>>> a thin contour line of the same color to co
Hi, What is the best way to rasterize a figure into a numpy array for
further image processing? The code I have below works, but I am
wondering if there is a more convenient way.
Thanks in advance, Geoff
import pylab, numpy
fig = pylab.figure()
pylab.plot( [1, 2, 1] )
dpi = fig.get_dpi()
size
On Nov 12, 2009, at 10:03 AM, Eric Firing wrote:
> Geoffrey Ely wrote:
>> Ryan,
>> I have noticed the same issue with contourf. It seems to be a thin
>> gap between neighboring polygons showing through. You can turn on
>> a thin contour line of the same color to cover the gap:
>> for c in py
On Thu, Nov 12, 2009 at 12:07 PM, per freem wrote:
> ax.axis["xzero"].set_visible(True)
> # make other axis (bottom, top, right) invisible.
The ax.axis["xzero"] is drawn along the y=0 line. Therefore, if you
use logscale, this axis become invisible.
> invisible = ["bottom", "top", "right"]
> for
Hi all,
I want to use matplotlib to plot in realtime the position of a microscope
stage, read out over a serial connection. Essentially I reached my goal,
starting from the example simple_idle_wx.py
http://matplotlib.sourceforge.net/examples/animation/simple_idle_wx.html
Now I have two questions
Ryan Neve wrote:
> Thank you for the suggestion, but I couldn't see a difference with
> "antialiased" either True or False. The lines between contour levels remain.
> I tried a different colormap (spectral) but it had the same effect. I
> tried more color levels (256) but the effect got worse.
>
Celil Rufat wrote:
> I just installed matplotlib on Snow Leopard 10.6 with the Qt4 backend
> (via macports). However, when I try one of the Qt4 examles:
>
> python
> /opt/local/share/py26-matplotlib/examples/user_interfaces/embedding_in_qt4.py
>
>
> IOError: [Errno 4] Interrupted system call
>
>
Geoffrey Ely wrote:
> Ryan,
>
> I have noticed the same issue with contourf. It seems to be a thin gap
> between neighboring polygons showing through. You can turn on a thin
> contour line of the same color to cover the gap:
>
> for c in pylab.contourf( x, y, z ).collections:
> c.set_li
Celil Rufat writes:
> However, when I try one of the Qt4 examles:
[...]
> File
> "/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/font_manager.py",
> line 303, in get_fontconfig_fonts
> status, output = commands.getstatusoutput("fc-list fil
TheLonelyStar wrote:
>
>
> /net/gorgonzola/storage/nhuesken/svn/ActiveLearning/SVM/ModelSelection/Ergebnisse/plot.pyc
> in plot(filename, line_list, name_list, reference)
> 6 for i in xrange(len(line_list)):
> 7
> plt.plot(m[:,reference],m[:,line_list[i]],lab
thanks to all for the replies. i am still having an issue with the log
scale of these plots. i am trying to hide the top and right axes of
the plot, since these should not be there when plotting a histogram or
a line plot. i use the following code:
import matplotlib
matplotlib.use('PDF')
import ma
Ryan,
I have noticed the same issue with contourf. It seems to be a thin gap
between neighboring polygons showing through. You can turn on a thin
contour line of the same color to cover the gap:
for c in pylab.contourf( x, y, z ).collections:
c.set_linewidth( 0.1 )
Not ideal, but it wo
Thank you for the suggestion, but I couldn't see a difference with
"antialiased" either True or False. The lines between contour levels remain.
I tried a different colormap (spectral) but it had the same effect. I tried
more color levels (256) but the effect got worse.
I can't find any example pic
On Nov 12, 2009, at 8:16 AM, Michael Droettboom wrote:
> Thanks for looking into this further. Can you file a bug with this
> script that appears differently in the PDF/PS/SVG/Agg backends vs.
> Mac OS X?
Bug filed. Thanks for your response.
-Tony
>
> Cheers,
> Mike
>
> Tony S Yu wrote:
>
Thanks for looking into this further. Can you file a bug with this
script that appears differently in the PDF/PS/SVG/Agg backends vs. Mac OS X?
Cheers,
Mike
Tony S Yu wrote:
>
> On Nov 11, 2009, at 1:33 PM, Michael Droettboom wrote:
>
>> Which older revision (or release) worked as you expected?
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