matplotlib-users Mailing List for matplotlib (Page 7)

Hello,

For an application, I am writing, I need the naviguation toolbar 2 and
the BoxSelector and Lasso widgets. The user should be able to select
with the Lasso or BoxSelector widget even when zoom or pan is active
by pressing a modifier key.
I have managed to do this with the following code (for now, only for
the Box selector with modifier key shift):

**********************************

class ShiftBoxSelector(matplotlib.widgets.RectangleSelector):
    def press(self, event):
        if ((event.guiEvent.state & gtk.gdk.SHIFT_MASK)!=gtk.gdk.SHIFT_MASK) :
            return
        return matplotlib.widgets.RectangleSelector.press(self,event)


class NoShiftNavigationToolbar2(matplotlib.backends.backend_gtkagg.NavigationToolbar2GTKAgg):
    def press_pan(self, event):
        if ((event.guiEvent.state & gtk.gdk.SHIFT_MASK)==gtk.gdk.SHIFT_MASK) :
            return
        return matplotlib.backends.backend_gtkagg.NavigationToolbar2GTKAgg.press_pan(self,event)

    def press_zoom(self, event):
        if ((event.guiEvent.state & gtk.gdk.SHIFT_MASK)==gtk.gdk.SHIFT_MASK) :
            return
        return matplotlib.backends.backend_gtkagg.NavigationToolbar2GTKAgg.press_zoom(self,event)

    def pan(self,*args):
        x = matplotlib.backends.backend_gtkagg.NavigationToolbar2GTKAgg.pan(self,*args)
        self.canvas.widgetlock.release(self)
        return x

    def zoom(self,*args):
        x = matplotlib.backends.backend_gtkagg.NavigationToolbar2GTKAgg.zoom(self,*args)
        self.canvas.widgetlock.release(self)
        return x

**********************

Is this a good solution?

My application is not threaded and the only other widgets interacting
with the plots are gtk buttons. However there will be several plots in
different tabs each with their own naviguation toolbar, boxselector
and lasso widgets. What are the risks of unlocking the canvas when
zoom/pan is active?


Thank you for your help,

              Bernard

We are working on plotting mesh (in hermes2d:
http://hpfem.math.unr.edu/projects/hermes2d-new/) We created a python
function to plot mesh but initially without curves. Later we also tried to
work on curved elements but we are having some problems.
In the hermes2d examples curves are defined as [4, 7, 45] where 4,7
are vertices indices, and 45 is center angle.

But in matplotlib we do not see any function to plot curve with these data,
we have to convert them into something more useful to those functions
available in matplotlib. For ex:

1) matplot.path porvides a way to plot curve with three points
http://matplotlib.sourceforge.net/api/path_api.html#module-matplotlib.path

 p1 -> starting Point
 p2 -> control point
 p3 -> end point

 iI we want to go this way we do have p1 & p3 but have to calclate p2
(control point)

2) matplot.patch.arc provides a way to plot an arc

http://matplotlib.sourceforge.net/api/artist_api.html#module-matplotlib.patches

 but it needs
 -> center of circle
 -> start angle
 -> end angle
 -> radius of circle
   we have to calculate all these with data available to us

We didn't find other ways of plotting curves using matplotlib...and in our
view method 1 is the best way for us because currently we have implemented
matplotlib.path to draw mesh without curves, and it will be easy to  fill
color this way.

We tried the method 1 but the result was a garbled mesh. I would appreciate
if anybody could guide us how we can use the matplotlib functions to draw
curved elements if we are given information as described above.
Thanks

How do I embed basemap in Tk?  I tried following the matplotlib example. But the following does not work (the earth does not appear):

import matplotlib
matplotlib.use('TkAgg') 

from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
from mpl_toolkits.basemap import Basemap

import Tkinter as Tk

root = Tk.Tk()
root.wm_title("Embedding in TK")

f = Figure()#figsize=(5,4), dpi=100)

map = Basemap(projection='ortho', lat_0=34.0,lon_0=-117.3, resolution='l' area_thresh=1000.)

map.drawcoastlines()
map.drawcountries()
map.fillcontinents(color='coral') 
map.drawmapboundary()

canvas = FigureCanvasTkAgg(f, master=root)
canvas.show()
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

toolbar = NavigationToolbar2TkAgg( canvas, root )
toolbar.update()
canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

Tk.mainloop()

thanks...

Marc Desmarais

Long Beach, CA, 90814

 




      

Thank you, Jae-Joon. Again. :)

On 8/18/2009 2:49 PM, Jae-Joon Lee wrote:
> I guess you're using 0.99?
> Use spines instead.
>
> for example,
>
> gca().spines["bottom"].set_linewidth(2) # it only changes the
> linewidth of the bottom spine.
>
> also, see this example,
>
> http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html#pylab-examples-spine-placement-demo
>
> Regards,
>
> -JJ
>
>
>
> On Tue, Aug 18, 2009 at 5:18 PM, Christopher Brown<c-...@as...>  wrote:
>> I have asked this question before. How do I set the linewidth of the
>> axis frame? Long ago, I used gca().get_frame().set_linewidth(2). More
>> recently, I used gca().frame.set_linewidth(2), but this doesn't seem to
>> work anymore. I've tried gca().patch, to no avail. Any suggestions?
>>
>> Thanks.
>>
>> ------------------------------------------------------------------------------
>> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
>> trial. Simplify your report design, integration and deployment - and focus on
>> what you do best, core application coding. Discover what's new with
>> Crystal Reports now. Â http://p.sf.net/sfu/bobj-july
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>

Thank you! This is just what I was looking for.

I found an "undocumented feature", though: if you use  
spine.set_position(), the label on that spine goes away.

-ea

-- --- ----- ------- ----------- -------------
Dr. Eric Ayars
Associate Professor of Physics
California State University, Chico
ay...@ma...

On Aug 19, 2009, at 12:08 PM, John Hunter wrote:

> On Thu, Aug 13, 2009 at 12:59 PM, Eric Ayars<Ay...@ma...> wrote:
>> Hello,
>>
>> I've been using Gnuplot for years, but am quite impressed with what I
>> see in matplotlib and am in the process of learning enough to switch.
>> One item that I haven't been able to figure out yet is how to plot on
>> an "open box".
>>
>> For example, in Gnuplot I would give the commands
>>        set xtics nomirror
>>        set ytics nomirror
>>        set border 3
>> and I would get a plot that only had left and bottom axes instead  
>> of a
>> complete box.
>>
>> How do I get this "open box" plot with matplotlib?
>>
>
> This is new in matplotlib 0.99 -- is this what you are looking for
>
> http://matplotlib.sourceforge.net/users/whats_new.html#axis-spine-placement
>
> JDH

Jae-Joon Lee wrote:
> You need to adjust the positions of the ticks.
> bar command (by default) creates boxes so that their left side
> corresponds the first argument.
>
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.bar
>
> so, in your case, something like below will work (0.4 from 0.8/2 where
> 0.8 is the default width of the bar).
>
> axes.set_xticks([x+0.4 for x in indx])
>   
That does the trick.  Thanks.

Although I wonder why "align='center'" does not work for me.

Will review the other samples and read the doc some more.

Werner

Eric,

Eric Firing wrote:
> Werner F. Bruhin wrote:
>> Werner F. Bruhin wrote:
>> ...
>>> Ideally I would like to have these labels printed at an angle.
>> Put my glasses on and found the rotation property in the 
>> documentation, only issue left is centering the labels below the bars.
>
> Are you using the align='center' kwarg to bar()?
No I did not, tried it but no change.

Werner

On Wed, Aug 19, 2009 at 3:25 PM, Christophe
Dupre<chr...@vh...> wrote:
> I just saw the email below from John, and I was wondering why using compound
> paths are "goo-gobs" faster than using rectangles(patches)?
>
> I've been using the candlestick function quite a bit lately. I guess using
> compound paths could make the candlestick function faster. I'll give it a
> try.
>

I haven't profiled it, so the go-gobs was a bit speculative, but each
Rectangle is a separate object with a separate graphics context and a
separate draw step.  By moving all this into a single object, the
compound path, you get a lot of savings.

JDH

I just saw the email below from John, and I was wondering why using compound paths are "goo-gobs" faster than using rectangles(patches)?

I've been using the candlestick function quite a bit lately. I guess using compound paths could make the candlestick function faster. I'll give it a try.

Regards,

Christophe


-----Original Message-----
From: John Hunter [mailto:jd...@gm...]
Sent: Sat 08/08/2009 09:00
To: Kaushik Ghose
Cc: mat...@li...
Subject: Re: [Matplotlib-users] animate histogram
 
On Sat, Aug 8, 2009 at 6:17 AM, Kaushik
Ghose<Kau...@hm...> wrote:

> (http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.Rectangle)
> e.g. set_height() to change the rectangles?
>
> e.g. code
> ------------------------------
> import pylab
> x = pylab.rand(20)
> h = pylab.hist(x)
> h[2][0].set_height(1)
> pylab.draw()
> --------------------------------

This is the right idea, but it is likely to be slow for animation,
since each rectangle is a separate mpl object, each with its own
graphics contexs, rendering step, etc.  bar and hist were very early
functions which I wrote before we had collections and compound paths.
If I were rewriting it from scratch, I would use a compound path.
It's a little more work upfront because you have to manually compute
the vertices and path codes, but it will be goo-gobs faster.  Here is
the animated histogram for tk using compound paths


"""
This example shows how to use a path patch to draw a bunch of
rectangles for an animated histogram
"""
import numpy as np
import matplotlib
matplotlib.use('TkAgg') # do this before importing pylab

import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as path

fig = plt.figure()
ax = fig.add_subplot(111)

# histogram our data with numpy
data = np.random.randn(1000)
n, bins = np.histogram(data, 100)

# get the corners of the rectangles for the histogram
left = np.array(bins[:-1])
right = np.array(bins[1:])
bottom = np.zeros(len(left))
top = bottom + n
nrects = len(left)

# here comes the tricky part -- we have to set up the vertex and path
# codes arrays using moveto, lineto and closepoly

# for each rect: 1 for the MOVETO, 3 for the LINETO, 1 for the
# CLOSEPOLY; the vert for the closepoly is ignored but we still need
# it to keep the codes aligned with the vertices
nverts = nrects*(1+3+1)
verts = np.zeros((nverts, 2))
codes = np.ones(nverts, int) * path.Path.LINETO
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5,0] = left
verts[0::5,1] = bottom
verts[1::5,0] = left
verts[1::5,1] = top
verts[2::5,0] = right
verts[2::5,1] = top
verts[3::5,0] = right
verts[3::5,1] = bottom

barpath = path.Path(verts, codes)
patch = patches.PathPatch(barpath, facecolor='green',
edgecolor='yellow', alpha=0.5)
ax.add_patch(patch)

ax.set_xlim(left[0], right[-1])
ax.set_ylim(bottom.min(), top.max())

def animate():
    # simulate new data coming in
    data = np.random.randn(1000)
    n, bins = np.histogram(data, 100)
    top = bottom + n
    verts[1::5,1] = top
    verts[2::5,1] = top
    fig.canvas.draw()

def run():
    for i in range(100):
        fig.canvas.manager.window.after(100, animate)


fig.canvas.manager.window.after(100, run)
plt.show()

No virus found in this incoming message.
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On Tue, Aug 18, 2009 at 3:55 AM, M. Hecht<mhe...@in...> wrote:
> The first figure is drawn without problems but after closing it (by clicking
> the cross in the upper
> right corner of the window) the second figure cannot be plot anymore. What I
> wanted to do was
> to visualize all selected files of a directory one after the other. To do
> this I want to close the old
> figure and then the new figure should com up as long as there is a file to
> visualize left. Unfortunaltely
> only the first figure is shown as in the simple example.
> So, what's wrong

We don't really have support for blocking input where a program is
halted until you close the open figure, and then the next one loads.
You could write something using event handling, where on a key press
event the next figure was loaded.  You may also be able to use ginput
here, which will give you a blocking input function.

See

http://matplotlib.sourceforge.net/users/shell.html

http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure.ginput

http://matplotlib.sourceforge.net/users/event_handling.html

http://matplotlib.sourceforge.net/examples/pylab_examples/ginput_demo.html

On Thu, Aug 13, 2009 at 12:59 PM, Eric Ayars<Ay...@ma...> wrote:
> Hello,
>
> I've been using Gnuplot for years, but am quite impressed with what I
> see in matplotlib and am in the process of learning enough to switch.
> One item that I haven't been able to figure out yet is how to plot on
> an "open box".
>
> For example, in Gnuplot I would give the commands
>        set xtics nomirror
>        set ytics nomirror
>        set border 3
> and I would get a plot that only had left and bottom axes instead of a
> complete box.
>
> How do I get this "open box" plot with matplotlib?
>

This is new in matplotlib 0.99 -- is this what you are looking for

http://matplotlib.sourceforge.net/users/whats_new.html#axis-spine-placement

JDH

On Thu, Aug 13, 2009 at 12:51 PM, Erik Schweller<oth...@gm...> wrote:
> Good day,
>
> I've hit an issue that may be a bug.  In a previous version of
> matplotlib (.98.x) I had a picker set for lines plotted on two axes.
> This was working until I upgraded to version 0.99.0.   Now the first
> axes's pick events never seem to fire even though they respond true if
> queried with pickable(). The second axes's pick events still fire.
>
> Using the example below, clicking on the left y's line will never
> print anything, but the sin from the right will if clicked on.

I'm not sure why it worked before -- that surprises me.  Only one axes
can receive the pick event currently, so if you have overlapping axes,
as you do with twinx, the one with the highest zorder will receive the
pick events.  By default, the zorder by the Axes is 0, so you could
raise the twinx axes, by increaseing the zorder

  ax2.set_zorder(0.1)

and then the line on that axes will respond to the pick events.  With
some work, we might be able to support multiple overlapping axes
handling a single pick event.

JDH

 The one 'preliminary' solution I found is using an interactive mode +
raw_input.
Here is and example,

        ion()
        plot([1,2,3,4,5])
        raw_input('Type Enter')
        clf()
        plot([1,2,3,4,5])
        raw_input('Type_Enter')
        clf()
        plot([1,2,3,4,5])
        show()

With this approach, I can press the enter when I want to see next figure.

Though It's not as convenient as 'multiple show()'..


On Wed, Aug 19, 2009 at 1:57 PM, Kim, Dae-Won <dw...@gm...> wrote:

>
>
> On Wed, Aug 19, 2009 at 1:02 PM, Ryan May <rm...@gm...> wrote:
>
>> On Wed, Aug 19, 2009 at 11:55 AM, coati <dw...@gm...> wrote:
>>
>>>
>>>  I have a problem with show() command in my macbook machine (Leopard
>>> 10.5.8).
>>> For example, if I run the script shown below
>>> (let assume it is saved as 'test.py', and I run a command 'python
>>> test.py'),
>>>
>>> ---------------------------------------
>>>
>>> plot([1,2,3,4,5])
>>> show() #first window
>>> plot([1,2,3,4,5])
>>> show() #second window
>>> plot([1,2,3,4,5])
>>> show() #third window
>>>
>>> ---------------------------------------
>>>
>>> Then the first window just pops up and I can see a beautiful straight
>>> line
>>> :) No problem so far.
>>> But, after I close the first window by clicking the close button of the
>>> window,
>>> other two window (second and third) just pops up and close themselves
>>> instantly
>>> even though I didn't click the close button...
>>> Also, the second and third plot is shown in the same window.
>>>
>>> I don't have such problem in my Ubuntu machine..
>>>
>>> Does anybody know reasons?
>>
>>
>> show() actually handles starting the GUI mainloop, so you really shouldn't
>> be calling it more than once from a script.  Quite frankly, it's more
>> amazing that it works on your Ubuntu macine. :)  If you're wanting 3
>> separate windows, try:
>>
>> plot([1,2,3,4,5])
>> figure()
>> plot([1,2,3,4,5])
>> figure()
>> plot([1,2,3,4,5])
>> show()
>>
>> Ryan
>>
>> --
>> Ryan May
>> Graduate Research Assistant
>> School of Meteorology
>> University of Oklahoma
>>
>
>
> Thanks Ryan,
>
> Hm.. it's a bit strange.. I just installed matplotlib at Ubuntu using the
> package manager :)
> And, another linux machines (red hat enterprise) can do this too. For the
> RHELs, I compiled matplotlib source code by myself.
>
>
> figure() works very well, but what I want to do is to check the plots one
> by one and thus
> I can exit the script at any time I want (because I usually have lots of
> figures to check and I don't want
> to pop up every of them at the same time..)
>
>
> Anyway, thank you very much!
>
>
>

On Tue, Aug 18, 2009 at 3:55 AM, M. Hecht <mhe...@in...>wrote:

>
> Hello,
>
> I'm totally new to matplotlib, so sorry if the question is stupid.
>
> I'm trying this slightly modified example from the examples page
>
> from pylab import *
> A = rand(5,5)
> figure(1)
> imshow(A, interpolation='bicubic')
> show()
> close(1)
>
> A = rand(5,5)
> figure(2)
> imshow(A, interpolation='bicubic')
> show()
> close(2)
>
> The first figure is drawn without problems but after closing it (by
> clicking
> the cross in the upper
> right corner of the window) the second figure cannot be plot anymore. What
> I
> wanted to do was
> to visualize all selected files of a directory one after the other. To do
> this I want to close the old
> figure and then the new figure should com up as long as there is a file to
> visualize left. Unfortunaltely
> only the first figure is shown as in the simple example.
> So, what's wrong?


Calling show() multiple times is not supported.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

On Thu, Aug 13, 2009 at 1:21 PM, William Miner<wil...@en...> wrote:
> When will a version of Matplotlib be available that’s compatible with Python
> 2.6?

matplotlib-0.99 is compatible with python 2.6

Michael,
Thanks, I rebuilt and now hist is working again.
- Chuck

On Wed, Aug 19, 2009 at 12:08 PM, Michael Droettboom <md...@st...>wrote:

>  Have you tried removing the build directory to force a full rebuild?
> draw_gouraud_triangle was recently added to the _backend_agg extension, so I
> would guess for some reason it is still loading an old version of that
> extension.  If forcing the full rebuild doesn't help, can you send the
> output of your build?
>
> Cheers,
> Mike
>
>
> On 08/19/2009 10:59 AM, Chuck Pepe-Ranney wrote:
>
> I am using the svn matplotlib (1.0.svn) and when I try to plot a histogram
> I get an AttributeError for draw_gouraud_triangle (traceback below).  I have
> not had this problem in the past.  Is anyone else experiencing this?
> Thanks,
> - Chuck
>
> In [3]: x = mu + sigma*randn(100000)
>
> In [4]: hist(x, 50, normed=1)
> Out[4]:
> (array([  7.75874990e-06,   3.87937495e-06,   1.16381249e-05,
>          1.55174998e-05,   2.32762497e-05,   5.81906243e-05,
>          1.08622499e-04,   1.90089373e-04,   3.06470621e-04,
>          4.65524994e-04,   6.63373117e-04,   1.13277749e-03,
>          1.81942685e-03,   2.57590497e-03,   3.74359683e-03,
>          5.14405118e-03,   7.07985929e-03,   8.96135614e-03,
>          1.12695842e-02,   1.40937692e-02,   1.68791604e-02,
>          1.98623997e-02,   2.23839935e-02,   2.42577316e-02,
>          2.57629290e-02,   2.64883722e-02,   2.65194072e-02,
>          2.52353341e-02,   2.41995409e-02,   2.24305460e-02,
>          2.01727497e-02,   1.67782967e-02,   1.41829948e-02,
>          1.20764942e-02,   9.27170613e-03,   6.88589054e-03,
>          5.33414056e-03,   3.73971745e-03,   2.76211497e-03,
>          1.85822060e-03,   1.20648561e-03,   8.30186239e-04,
>          4.65524994e-04,   2.79314996e-04,   1.70692498e-04,
>          9.69843738e-05,   8.14668740e-05,   3.10349996e-05,
>          3.87937495e-06,   1.55174998e-05]),
>  array([  32.88436884,   35.46210369,   38.03983854,   40.61757339,
>          43.19530823,   45.77304308,   48.35077793,   50.92851278,
>          53.50624763,   56.08398247,   58.66171732,   61.23945217,
>          63.81718702,   66.39492187,   68.97265671,   71.55039156,
>          74.12812641,   76.70586126,   79.28359611,   81.86133096,
>          84.4390658 ,   87.01680065,   89.5945355 ,   92.17227035,
>          94.7500052 ,   97.32774004,   99.90547489,  102.48320974,
>         105.06094459,  107.63867944,  110.21641429,  112.79414913,
>         115.37188398,  117.94961883,  120.52735368,  123.10508853,
>         125.68282337,  128.26055822,  130.83829307,  133.41602792,
>         135.99376277,  138.57149761,  141.14923246,  143.72696731,
>         146.30470216,  148.88243701,  151.46017186,  154.0379067 ,
>         156.61564155,  159.1933764 ,  161.77111125]),
>  <a list of 50 Patch objects>)
>
> Exception in Tkinter callback
> Traceback (most recent call last):
>   File "/usr/lib/python2.5/lib-tk/Tkinter.py", line 1417, in __call__
>     return self.func(*args)
>   File
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_tkagg.py",
> line 212, in resize
>     self.show()
>   File
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_tkagg.py",
> line 215, in draw
>     FigureCanvasAgg.draw(self)
>   File
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
> line 377, in draw
>     self.renderer = self.get_renderer()
>   File
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
> line 388, in get_renderer
>     self.renderer = RendererAgg(w, h, self.figure.dpi)
>   File
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
> line 65, in __init__
>     self._update_methods()
>   File
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
> line 82, in _update_methods
>     self.draw_gouraud_triangle = self._renderer.draw_gouraud_triangle
> AttributeError: draw_gouraud_triangle
>
> ------------------------------
>
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> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
> trial. Simplify your report design, integration and deployment - and focus on
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>
>
>

Hi all,

I've come across an apparent bug in imshow when outputting to PDF and
EPS files.  (I haven't tested other vector formats.)  It manifests as
a small scaling error between the raster image and the axes
coordinates.

I have attached a test script to illustrate the problem.  The
(correct) PNG output file shows a green 'X' at the common point
between four pixels near the center of the raster image.  The extent
is chosen such that the coordinates refer to pixel centers.  The PDF
and EPS output files show a misalignment between the X and the pixel
boundaries -- zoom in to see it clearly.  Also, the topmost row and
rightmost column appear truncated.

I did some digging to see if I could figure out how the image scale
was being mangled.  I had a hunch that it was due to some interaction
between fixed-72-dpi code, rounding the number of pixels, and
subsequent rescaling.  However, the image scale still seems to be off
even when the dpi setting is a multiple of 72.

I am using svn r7395 on OSX 10.4.11.  I previously posted to the
matplotlib-devel list, but perhaps the larger audience here can help.
Can anyone confirm this bug?  I have added it to the sourceforge
tracker, ID 2832896.
https://sourceforge.net/tracker/?func=detail&aid=2832896&group_id=80706&atid=560720

Thank you for the attention,
Mike

Have you tried removing the build directory to force a full rebuild?  
draw_gouraud_triangle was recently added to the _backend_agg extension, 
so I would guess for some reason it is still loading an old version of 
that extension.  If forcing the full rebuild doesn't help, can you send 
the output of your build?

Cheers,
Mike

On 08/19/2009 10:59 AM, Chuck Pepe-Ranney wrote:
> I am using the svn matplotlib (1.0.svn) and when I try to plot a 
> histogram I get an AttributeError for draw_gouraud_triangle (traceback 
> below).  I have not had this problem in the past.  Is anyone else 
> experiencing this?
> Thanks,
> - Chuck
>
> In [3]: x = mu + sigma*randn(100000)
>
> In [4]: hist(x, 50, normed=1)
> Out[4]:
> (array([  7.75874990e-06,   3.87937495e-06,   1.16381249e-05,
>          1.55174998e-05,   2.32762497e-05,   5.81906243e-05,
>          1.08622499e-04,   1.90089373e-04,   3.06470621e-04,
>          4.65524994e-04,   6.63373117e-04,   1.13277749e-03,
>          1.81942685e-03,   2.57590497e-03,   3.74359683e-03,
>          5.14405118e-03,   7.07985929e-03,   8.96135614e-03,
>          1.12695842e-02,   1.40937692e-02,   1.68791604e-02,
>          1.98623997e-02,   2.23839935e-02,   2.42577316e-02,
>          2.57629290e-02,   2.64883722e-02,   2.65194072e-02,
>          2.52353341e-02,   2.41995409e-02,   2.24305460e-02,
>          2.01727497e-02,   1.67782967e-02,   1.41829948e-02,
>          1.20764942e-02,   9.27170613e-03,   6.88589054e-03,
>          5.33414056e-03,   3.73971745e-03,   2.76211497e-03,
>          1.85822060e-03,   1.20648561e-03,   8.30186239e-04,
>          4.65524994e-04,   2.79314996e-04,   1.70692498e-04,
>          9.69843738e-05,   8.14668740e-05,   3.10349996e-05,
>          3.87937495e-06,   1.55174998e-05]),
>  array([  32.88436884,   35.46210369,   38.03983854,   40.61757339,
>          43.19530823,   45.77304308,   48.35077793,   50.92851278,
>          53.50624763,   56.08398247,   58.66171732,   61.23945217,
>          63.81718702,   66.39492187,   68.97265671,   71.55039156,
>          74.12812641,   76.70586126,   79.28359611,   81.86133096,
>          84.4390658 ,   87.01680065,   89.5945355 ,   92.17227035,
>          94.7500052 ,   97.32774004,   99.90547489,  102.48320974,
>         105.06094459,  107.63867944,  110.21641429,  112.79414913,
>         115.37188398,  117.94961883,  120.52735368,  123.10508853,
>         125.68282337,  128.26055822,  130.83829307,  133.41602792,
>         135.99376277,  138.57149761,  141.14923246,  143.72696731,
>         146.30470216,  148.88243701,  151.46017186,  154.0379067 ,
>         156.61564155,  159.1933764 ,  161.77111125]),
> <a list of 50 Patch objects>)
>
> Exception in Tkinter callback
> Traceback (most recent call last):
>   File "/usr/lib/python2.5/lib-tk/Tkinter.py", line 1417, in __call__
>     return self.func(*args)
>   File 
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_tkagg.py", 
> line 212, in resize
>     self.show()
>   File 
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_tkagg.py", 
> line 215, in draw
>     FigureCanvasAgg.draw(self)
>   File 
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py", 
> line 377, in draw
>     self.renderer = self.get_renderer()
>   File 
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py", 
> line 388, in get_renderer
>     self.renderer = RendererAgg(w, h, self.figure.dpi)
>   File 
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py", 
> line 65, in __init__
>     self._update_methods()
>   File 
> "/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py", 
> line 82, in _update_methods
>     self.draw_gouraud_triangle = self._renderer.draw_gouraud_triangle
> AttributeError: draw_gouraud_triangle
>
> ------------------------------------------------------------------------
>
> ------------------------------------------------------------------------------
> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
> trial. Simplify your report design, integration and deployment - and focus on
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> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>    

I am using the svn matplotlib (1.0.svn) and when I try to plot a histogram I
get an AttributeError for draw_gouraud_triangle (traceback below).  I have
not had this problem in the past.  Is anyone else experiencing this?
Thanks,
- Chuck

In [3]: x = mu + sigma*randn(100000)

In [4]: hist(x, 50, normed=1)
Out[4]:
(array([  7.75874990e-06,   3.87937495e-06,   1.16381249e-05,
         1.55174998e-05,   2.32762497e-05,   5.81906243e-05,
         1.08622499e-04,   1.90089373e-04,   3.06470621e-04,
         4.65524994e-04,   6.63373117e-04,   1.13277749e-03,
         1.81942685e-03,   2.57590497e-03,   3.74359683e-03,
         5.14405118e-03,   7.07985929e-03,   8.96135614e-03,
         1.12695842e-02,   1.40937692e-02,   1.68791604e-02,
         1.98623997e-02,   2.23839935e-02,   2.42577316e-02,
         2.57629290e-02,   2.64883722e-02,   2.65194072e-02,
         2.52353341e-02,   2.41995409e-02,   2.24305460e-02,
         2.01727497e-02,   1.67782967e-02,   1.41829948e-02,
         1.20764942e-02,   9.27170613e-03,   6.88589054e-03,
         5.33414056e-03,   3.73971745e-03,   2.76211497e-03,
         1.85822060e-03,   1.20648561e-03,   8.30186239e-04,
         4.65524994e-04,   2.79314996e-04,   1.70692498e-04,
         9.69843738e-05,   8.14668740e-05,   3.10349996e-05,
         3.87937495e-06,   1.55174998e-05]),
 array([  32.88436884,   35.46210369,   38.03983854,   40.61757339,
         43.19530823,   45.77304308,   48.35077793,   50.92851278,
         53.50624763,   56.08398247,   58.66171732,   61.23945217,
         63.81718702,   66.39492187,   68.97265671,   71.55039156,
         74.12812641,   76.70586126,   79.28359611,   81.86133096,
         84.4390658 ,   87.01680065,   89.5945355 ,   92.17227035,
         94.7500052 ,   97.32774004,   99.90547489,  102.48320974,
        105.06094459,  107.63867944,  110.21641429,  112.79414913,
        115.37188398,  117.94961883,  120.52735368,  123.10508853,
        125.68282337,  128.26055822,  130.83829307,  133.41602792,
        135.99376277,  138.57149761,  141.14923246,  143.72696731,
        146.30470216,  148.88243701,  151.46017186,  154.0379067 ,
        156.61564155,  159.1933764 ,  161.77111125]),
 <a list of 50 Patch objects>)

Exception in Tkinter callback
Traceback (most recent call last):
  File "/usr/lib/python2.5/lib-tk/Tkinter.py", line 1417, in __call__
    return self.func(*args)
  File
"/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_tkagg.py",
line 212, in resize
    self.show()
  File
"/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_tkagg.py",
line 215, in draw
    FigureCanvasAgg.draw(self)
  File
"/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
line 377, in draw
    self.renderer = self.get_renderer()
  File
"/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
line 388, in get_renderer
    self.renderer = RendererAgg(w, h, self.figure.dpi)
  File
"/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
line 65, in __init__
    self._update_methods()
  File
"/home/chuck/matplotlib/trunk/matplotlib/lib/matplotlib/backends/backend_agg.py",
line 82, in _update_methods
    self.draw_gouraud_triangle = self._renderer.draw_gouraud_triangle
AttributeError: draw_gouraud_triangle

On Wed, Aug 19, 2009 at 1:02 PM, Ryan May <rm...@gm...> wrote:

> On Wed, Aug 19, 2009 at 11:55 AM, coati <dw...@gm...> wrote:
>
>>
>>  I have a problem with show() command in my macbook machine (Leopard
>> 10.5.8).
>> For example, if I run the script shown below
>> (let assume it is saved as 'test.py', and I run a command 'python
>> test.py'),
>>
>> ---------------------------------------
>>
>> plot([1,2,3,4,5])
>> show() #first window
>> plot([1,2,3,4,5])
>> show() #second window
>> plot([1,2,3,4,5])
>> show() #third window
>>
>> ---------------------------------------
>>
>> Then the first window just pops up and I can see a beautiful straight line
>> :) No problem so far.
>> But, after I close the first window by clicking the close button of the
>> window,
>> other two window (second and third) just pops up and close themselves
>> instantly
>> even though I didn't click the close button...
>> Also, the second and third plot is shown in the same window.
>>
>> I don't have such problem in my Ubuntu machine..
>>
>> Does anybody know reasons?
>
>
> show() actually handles starting the GUI mainloop, so you really shouldn't
> be calling it more than once from a script.  Quite frankly, it's more
> amazing that it works on your Ubuntu macine. :)  If you're wanting 3
> separate windows, try:
>
> plot([1,2,3,4,5])
> figure()
> plot([1,2,3,4,5])
> figure()
> plot([1,2,3,4,5])
> show()
>
> Ryan
>
> --
> Ryan May
> Graduate Research Assistant
> School of Meteorology
> University of Oklahoma
>


Thanks Ryan,

Hm.. it's a bit strange.. I just installed matplotlib at Ubuntu using the
package manager :)
And, another linux machines (red hat enterprise) can do this too. For the
RHELs, I compiled matplotlib source code by myself.


figure() works very well, but what I want to do is to check the plots one by
one and thus
I can exit the script at any time I want (because I usually have lots of
figures to check and I don't want
to pop up every of them at the same time..)


Anyway, thank you very much!

On Wed, Aug 19, 2009 at 11:55 AM, coati <dw...@gm...> wrote:

>
>  I have a problem with show() command in my macbook machine (Leopard
> 10.5.8).
> For example, if I run the script shown below
> (let assume it is saved as 'test.py', and I run a command 'python
> test.py'),
>
> ---------------------------------------
>
> plot([1,2,3,4,5])
> show() #first window
> plot([1,2,3,4,5])
> show() #second window
> plot([1,2,3,4,5])
> show() #third window
>
> ---------------------------------------
>
> Then the first window just pops up and I can see a beautiful straight line
> :) No problem so far.
> But, after I close the first window by clicking the close button of the
> window,
> other two window (second and third) just pops up and close themselves
> instantly
> even though I didn't click the close button...
> Also, the second and third plot is shown in the same window.
>
> I don't have such problem in my Ubuntu machine..
>
> Does anybody know reasons?


show() actually handles starting the GUI mainloop, so you really shouldn't
be calling it more than once from a script.  Quite frankly, it's more
amazing that it works on your Ubuntu macine. :)  If you're wanting 3
separate windows, try:

plot([1,2,3,4,5])
figure()
plot([1,2,3,4,5])
figure()
plot([1,2,3,4,5])
show()

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

 I have a problem with show() command in my macbook machine (Leopard 10.5.8).
For example, if I run the script shown below 
(let assume it is saved as 'test.py', and I run a command 'python test.py'),

---------------------------------------

plot([1,2,3,4,5])
show() #first window
plot([1,2,3,4,5])
show() #second window
plot([1,2,3,4,5])
show() #third window

---------------------------------------

Then the first window just pops up and I can see a beautiful straight line
:) No problem so far.
But, after I close the first window by clicking the close button of the
window, 
other two window (second and third) just pops up and close themselves
instantly
even though I didn't click the close button...
Also, the second and third plot is shown in the same window.

I don't have such problem in my Ubuntu machine.. 

Does anybody know reasons?

Thanks in advance!!

-- 
View this message in context: http://www.nabble.com/show%28%29-problem-in-Mac-OS-X-10.5.8-tp25047335p25047335.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,
I updated matplotlib to svn r 7506, but it won't build. I am having
problems with the mac os backend:

10.5.8, gcc 4.0.1:
python setup.py build install run from the matplotlib/matplotlib
directory gives:
.....
building 'matplotlib.backends._macosx' extension
gcc -arch ppc -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk
-fno-strict-aliasing -Wno-long-double -no-cpp-precomp -mno-fused-madd
-fno-common -dynamic -DNDEBUG -g -O3
-DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
-I/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/core/include
-I/usr/local/include -I/usr/include -I/usr/X11R6/include
-I/usr/X11/include -I.
-I/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/core/include
-Isrc -Iagg24/include -I.
-I/Library/Frameworks/Python.framework/Versions/2.5/include/python2.5
-c src/_macosx.m -o build/temp.macosx-10.3-i386-2.5/src/_macosx.o
src/_macosx.m:1885: error: syntax error before ‘setfont’
src/_macosx.m:1885: error: syntax error before ‘setfont’
src/_macosx.m: In function ‘setfont’:src/_macosx.m: In function ‘setfont’:
src/_macosx.m:1895: error: ‘CTFontRef’ undeclared (first use in this function)

Possibly some confusion about whether MAC_OS_X_VERSION_10_5 is defined??

--George Nurser.

> 2009/8/18 Pete Shepard <pet...@gm...>:
> I have a list of X,Y coordinates and a ratio associated with each
> coordinate. The X and Y coordinates are continuous but random from 50-500, I
> would like to make a continuous heatmap of the ratios at each coordinate.
> One caveat is that the coordinates are clustered together do some bixes
> might have too little data. I am wondering if there is a way that R can
> automatically adjust box sizes? Sample data set is below
>
> TIA
>
> X    Y    RATIO
> 50    56    .1
> 50    59    .1
> 52    54    .2
> 500    393    .9
> 450    36    .7
> 250    190    .7

I'm not sure about R, this is a Python mailing list :)

Are you trying to do something like this
http://matplotlib.sourceforge.net/examples/pylab_examples/scatter_demo2.html
or to interpolate your data from scattered points onto a regular grid?

Cheers,
Scott

On Mon, Aug 17, 2009 at 10:29 AM, Ole Streicher<ole...@gm...> wrote:
> Hi,
>
> I want to show the same data on multiple plots. Is it possible to re-use
> the Line2D object for that? t.m.,
>
> line = axes1.plot(xdata, ydata, ...)
>
> ...
>
> axes2.lines.append(line)
>
> Or is a Line2D bound to a certain axes instance?
>

I guess you already know the answer as this can be easily tested.
For the record, the answer is Yes, all matplotlib artists are bound to
a certain axes. You may come up with some workaround by updating the
axes-related properties before each draw call, but the easiest
solution seems to be creating multiple artists.

-JJ


> Best regards
>
> Ole
>
>
>
>
> ------------------------------------------------------------------------------
> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
> trial. Simplify your report design, integration and deployment - and focus on
> what you do best, core application coding. Discover what's new with
> Crystal Reports now.  http://p.sf.net/sfu/bobj-july
> _______________________________________________
> Matplotlib-users mailing list
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>