matplotlib-users Mailing List for matplotlib

Mike,

Thanks for your help!

Cheers,
Jervis

>

On Thu, Jul 9, 2009 at 2:25 PM, Michael Droettboom<md...@st...> wrote:
>
> This appears to be a bug in the recent updates to the SourceForge interface:
>
> https://sourceforge.net/apps/trac/sourceforge/ticket/1748
>
> I have set the default download file to 0.98.5, however, the setting doesn't
> seem to stick.  Hopefully SF will resolve this on their own.

I think as well the default downlaod it would be good to have
'matplotlib' branch above 'matplotlib-maintenance'. I think there is a
recent post on the list with someone else downloading 0.91.4. I'm not
sure if thats whats in the ticket - I can't access that link since I
dont have a log in.

> Unfortunately, I don't think this is changeable.  It does include the
> easy-to-miss caveat right underneath it (on certain pages, but not on
> others, depending on how you get to it):
>
>
>       Warning
>       This is a generic Subversion checkout command which will pull
>       all modules, tags and/or branches of the project. Please refer
>       to project home page for specific SVN instructions, or use
>       "Browse Repository" link; in most cases, you will want to add
>       '/trunk' to the HTTPS URL above to check out only trunk (main
>       development line).

That wasn't on the page I got it from, honest! (It really wasn't - I
just clicked on Develop on the menu tab)

Cheers

Robin

Thank you!  That did it.  I thought I read the webpage you sent 10
times, but didn't even notice.  Thanks.

On Thu, Jul 9, 2009 at 3:38 PM, Chaitanya Krishna<ic...@gm...> wrote:
> Hi,
>
> legend.draw_frame(False) should do the trick. Check out
> http://matplotlib.sourceforge.net/api/artist_api.html?highlight=draw_frame#matplotlib.legend.Legend.draw_frame
>
> Cheers,
> Chaitanya
>
> On Thu, Jul 9, 2009 at 11:18 PM, Joseph Smidt<jos...@gm...> wrote:
>> I see lots of examples on how to play around with the legend, adding
>> columns, shadow, etc...    Is there a way to remove the box so that
>> all you see are the items of things being plotted with no box around
>> them?
>>
>>   Also, keeping the box but removing the black outline around the box
>> is good enough since it would look like there is no box.
>>
>>                                                Joseph Smidt
>>
>> --
>> ------------------------------------------------------------------------
>> Joseph Smidt <jos...@gm...>
>>
>> Physics and Astronomy
>> 4129 Frederick Reines Hall
>> Irvine, CA 92697-4575
>> Office: 949-824-3269
>>
>> ------------------------------------------------------------------------------
>> Enter the BlackBerry Developer Challenge
>> This is your chance to win up to $100,000 in prizes! For a limited time,
>> vendors submitting new applications to BlackBerry App World(TM) will have
>> the opportunity to enter the BlackBerry Developer Challenge. See full prize
>> details at: http://p.sf.net/sfu/Challenge
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>



-- 
------------------------------------------------------------------------
Joseph Smidt <jos...@gm...>

Physics and Astronomy
4129 Frederick Reines Hall
Irvine, CA 92697-4575
Office: 949-824-3269

On Thu, Jul 9, 2009 at 10:13 PM, W.P. McNeill<bi...@gm...> wrote:
> This is matplotlib-0.91.4.  I get the same error whether I install via
> the egg or download the zipped tar ball and run "python setup.py
> build".

That's quite an old version. Could you try with a more recent release?
0.98.5.3 is the latest release and it builds for me on OS X 10.5.7
without problems. (You need to close the matplotlib-maintenance tree
on sourceforge and look for files in 'matplotlib' branch instead)

Cheers

Robin

Just curious if you're interested in folks contributing to the gallery. I was
playing around trying to come up with a routine to automatically choose
colors when plotting several datasets, not necessarily from a single array,
but rather say iterating through a list of datasets. I came up with the
following... maybe it's of interest?  And certainly of interest to me... any
advice on what could be done better!

Thanks!



> #!/usr/bin/env python
> 
> import numpy as np
> import matplotlib.pyplot as plt
> import matplotlib.cm as cm
> import matplotlib.colors as colors
> 
> """A script to demonstrate automatically assigning colors based
> on the number of x,y pairs to be plotted. """
> 
> # First example
> # set up some example data
> x = np.random.random((430,23))
> 
> # This is the important part for 'autocoloring'
> # get an array of 0-1 values, length of numint (#data sets
> # that you will iterate through), these will define the colors
> numint = x.shape[1]
> Nc = np.array([float(i)/numint for i in range(numint)])
> norm = colors.normalize(Nc.min(),Nc.max())
> 
> fig = plt.figure()
> ax = fig.add_subplot(111)
> interval = 0
> for i in range(numint):
>     #get a new color
>     cmap = cm.jet(norm(Nc[i]))
>     ax.scatter(x[:,0],x[:,i],color=cmap)
> 
> 
> # Second example
> # something a little more interesting
> fig2 = plt.figure()
> ax2 = fig2.add_subplot(111)
> X = np.arange(400)
> y = np.sin(X)
> y2 = X*.2
> x = np.column_stack((y,y2))
> 
> #define an interval, the dataset is divided by this value
> intervalsize = 23
> numint = int(np.round(x.shape[0]/intervalsize)) + 1
> 
> # This is the important part for 'autocoloring'
> # get an array of 0-1 values, length of numint
> # these will define the colors
> Nc = np.array([float(i)/numint for i in range(numint)])
> norm = colors.normalize(Nc.min(),Nc.max())
> 
> interval = 0
> for i in range(0,len(x),intervalsize):
>     # define the index array (easier than typing)
>     indx = np.arange(i,i+intervalsize)
>     #get a new color
>     cmap = cm.jet(norm(Nc[interval]))
>     # the indx as defined above may exceed
>     # the data array
>     try:
>         ax2.scatter(x[indx,0],x[indx,1],color=cmap)
>         #print indx
>     # case to handle tail of data
>     except:
>         #plt.scatter(x[i:,0],x[i:,1],color=cmap)
>         print 'OOPS, index exceeds dimensions:',indx
>         pass
>     # so that you don't miss the last interval
>     if len(x)-i < intervalsize:
>         ax2.scatter(x[i+1:,0],x[i+1:,1],color=cmap)
>         print 'last bits...'
>     interval+=1
> 
> plt.show()
> 
-- 
View this message in context: http://www.nabble.com/contribute-to-gallery--Or%2C-just-advice-on-changing-colors-automagically....-tp24419101p24419101.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,

legend.draw_frame(False) should do the trick. Check out
http://matplotlib.sourceforge.net/api/artist_api.html?highlight=draw_frame#matplotlib.legend.Legend.draw_frame

Cheers,
Chaitanya

On Thu, Jul 9, 2009 at 11:18 PM, Joseph Smidt<jos...@gm...> wrote:
> I see lots of examples on how to play around with the legend, adding
> columns, shadow, etc...    Is there a way to remove the box so that
> all you see are the items of things being plotted with no box around
> them?
>
>   Also, keeping the box but removing the black outline around the box
> is good enough since it would look like there is no box.
>
>                                                Joseph Smidt
>
> --
> ------------------------------------------------------------------------
> Joseph Smidt <jos...@gm...>
>
> Physics and Astronomy
> 4129 Frederick Reines Hall
> Irvine, CA 92697-4575
> Office: 949-824-3269
>
> ------------------------------------------------------------------------------
> Enter the BlackBerry Developer Challenge
> This is your chance to win up to $100,000 in prizes! For a limited time,
> vendors submitting new applications to BlackBerry App World(TM) will have
> the opportunity to enter the BlackBerry Developer Challenge. See full prize
> details at: http://p.sf.net/sfu/Challenge
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I tried on 2 computers, both with gentoo.
one 64bit with mpl 0.98.5.3 and wxwidget 2.8.10.1
another with mpl svn rev 7249 and wxwidget 2.8.10
and it 'twinkle', the lines are not drawn each frame.
I recorded a small video which I put on rapidshare (couldn't think of
anything better for now) :
http://rapidshare.com/files/253966760/anim-twinkle-mpl-wxgtk.mpeg.html
that shows the plot twinkling

it twinkles way more 'live', the video is only 30 fps

If you (and no one else?) gets that, I guess the problem comes from my
install, somewhere.

C M wrote:
>
>
> On Thu, Jul 9, 2009 at 3:40 AM, guillaume ranquet <gra...@wy...
> <mailto:gra...@wy...>> wrote:
>
>     Hi again.
>
>     I found out that removing the resize handler of the wxpanel gives me a
>     nice animated plot that works as expected (but with no resize :-/)
>
>     def _SetSize(self):
>        pixels = tuple(self.parent.GetClientSize())
>        self.SetSize(pixels)
>        self.canvas.SetSize(pixels)
>        self.figure.set_size_inches(float(pixels[0])/self.figure.get_dpi(),
>                       float(pixels[1])/self.figure.get_dpi(),forward=True)
>
>
>     I took that code from:
>     http://www.scipy.org/Matplotlib_figure_in_a_wx_panel
>     any hints on what to do from there?
>
>
> I have run your code and I am not sure what your issue is.  What is
> wrong with how it is behaving?  You say in the first post, "the
> resizing of the window make the plot look terribly broken", but I am
> not seeing that.  And what platform and version of wx and mpl are you
> using? 
>
> Che
>  
>
>
>     guillaume ranquet wrote:
>     > Hi list (yes, me, again :D)
>     >
>     > I'm having difficulties with matplotlib svn (rev 7249) and
>     animations.
>     > I'm a bit lost on what I have to do to get my animation running
>     smoothly?
>     >
>     > I had various attempts, It seems that the best result I can have
>     is by
>     > totally skipping the canvas.restore_region(self.background)
>     shown in the
>     > examples : the resizing of the window make the plot look
>     terribly broken
>     >
>     > sorry for this question that seems well covered by documentation and
>     > examples :S
>     > I'm attaching a sample code that reproduces the behavior of my
>     app, It's
>     > a bit long but I hope there's some good things in it that can be
>     usefull
>     > to others :)
>     >
>     >
>     > ===code snippet===
>     > import wxversion
>     > wxversion.ensureMinimal('2.8')
>     >
>     > import numpy as np
>     > import matplotlib.pyplot as plt
>     >
>     > from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as
>     > FigureCanvas
>     >
>     > import wx
>     > import wx.aui
>     >
>     > from matplotlib.figure import Figure
>     > import sys
>     > import getopt
>     > from threading import *
>     > from itertools import izip
>     > import time
>     >
>     > class myplotData(Figure):
>     >     def __init__(self,name,width=5,height=4,dpi=60,x_axis=None):
>     >         Figure.__init__(self,figsize=(width, height),dpi=dpi)
>     >         self.name <http://self.name> = name
>     >         self.ax = self.add_subplot(111,label=name,animated=True)
>     >         self.bg <http://self.bg> = None
>     >         self.mdirty = False
>     >
>     >     def refreshbg(self):
>     >         self.bg <http://self.bg> =
>     self.canvas.copy_from_bbox(self.ax.bbox)
>     >
>     >     def feed(self,n):
>     >         timestamp = n[0]
>     >         self.n = 0
>     >         if self.bg <http://self.bg> == None:
>     >             self.canvas = self.ax.figure.canvas
>     >             self.canvas.draw()
>     >             self.bg <http://self.bg> =
>     self.canvas.copy_from_bbox(self.ax.bbox)
>     >             for xs in n[1:]:
>     >                 self.ax.plot([timestamp],[xs],animated=True)
>     >             return
>     >         #self.canvas.restore_region(self.bg <http://self.bg>)
>     >         mylines = self.ax.get_lines()
>     >         for xs,line in izip(n[1:],mylines):
>     >             x,y = line.get_data()
>     >             x = np.concatenate((x,[timestamp]))
>     >             y = np.concatenate((y,[xs]))
>     >             line.set_data([x,y])
>     >             self.ax.set_xlim(xmax=timestamp)
>     >             curyminlim,curymaxlim = self.ax.get_ylim()
>     >
>     > self.ax.set_ylim(ymin=min(xs,curyminlim),ymax=max(xs,curymaxlim))
>     >             self.ax.draw_artist(line)
>     >         self.mdirty = True
>     >         wx.WakeUpIdle()
>     >
>     >     def blit(self):
>     >         if self.mdirty:
>     >             self.mdirty = False
>     >             self.canvas.blit(self.ax.get_figure().bbox)
>     >
>     > class CanvasPanel(wx.Panel):
>     >     def __init__(self,name,callback=None,parent=None):
>     >         wx.Panel.__init__(self, parent)
>     >         self.SetSize((120, 80))
>     >         self.figure = myplotData(name)
>     >         self.canvas = FigureCanvas(self,-1,self.figure)
>     >         self.parent = parent
>     >         self.callback = callback
>     >         color = (255,255,255)
>     >         self.SetColor(color)
>     >         self._SetSize()
>     >         self._resizeflag = False
>     >         self.Bind(wx.EVT_IDLE, self._onIdle)
>     >         self.Bind(wx.EVT_SIZE, self._onSize)
>     >
>     >     def SetColor(self,rgbtuple=None):
>     >         """Set figure and canvas colours to be the same."""
>     >         if rgbtuple is None:
>     >             rgbtuple =
>     > wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get()
>     >         clr = [c/255. for c in rgbtuple]
>     >         self.figure.set_facecolor(clr)
>     >         self.figure.set_edgecolor(clr)
>     >         self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple))
>     >
>     >     def _onSize(self,event):
>     >         self._resizeflag = True
>     >
>     >     def _onIdle(self,evt):
>     >         if self._resizeflag:
>     >             self._resizeflag = False
>     >             self._SetSize()
>     >         self.figure.blit()
>     >
>     >     def _SetSize(self):
>     >         pixels = tuple(self.parent.GetClientSize())
>     >         self.SetSize(pixels)
>     >         self.canvas.SetSize(pixels)
>     >        
>     self.figure.set_size_inches(float(pixels[0])/self.figure.get_dpi(),
>     >                                    
>     float(pixels[1])/self.figure.get_dpi())
>     >         #self.figure.refreshbg()
>     >
>     >     def process(self,data):
>     >         if self.callback != None:
>     >             x = self.callback(data)
>     >             self.figure.feed(x)
>     >         else:
>     >             self.figure.feed(data)
>     >
>     > # Define notification event for thread notifications
>     > EVT_RESULT_ID = wx.NewId()
>     >
>     > def EVT_RESULT(win, func):
>     >     """Define Result Event."""
>     >     win.Connect(-1, -1, EVT_RESULT_ID, func)
>     >
>     > class ResultEvent(wx.PyEvent):
>     >     """Simple event to carry arbitrary result data."""
>     >     def __init__(self, data):
>     >         """Init Result Event."""
>     >         wx.PyEvent.__init__(self)
>     >         self.SetEventType(EVT_RESULT_ID)
>     >         self.data = data
>     >
>     > class ParserThread(Thread):
>     >     def __init__(self,source,notify_window):
>     >         Thread.__init__(self)
>     >         self._notify_window = notify_window
>     >         self.data = np.arange(0,2*np.pi,0.01)
>     >         self.n = 0
>     >         self.round = 0
>     >         self.start()
>     >
>     >     def run(self):
>     >         while(1):
>     >             mbuff = {}
>     >             mbuff['name'] = "My Sin Plot"
>     >             mbuff['x'] = self.data[self.n] + self.round*2*np.pi
>     >             mbuff['y1'] = np.sin(mbuff['x'])
>     >             mbuff['y2'] = np.sin(mbuff['x'] + np.pi/2)
>     >             self.n+=1
>     >             if self.n == len(self.data):
>     >                 self.n = 0
>     >                 self.round += 1
>     >             wx.PostEvent(self._notify_window,
>     ResultEvent(('test',[mbuff])))
>     >             time.sleep(.1)
>     >
>     > def mycback(data):
>     >     return data['x'],data['y1'],data['y2']
>     >
>     > class MyApp(wx.Frame):
>     >
>     >     def __init__(self,parent=None,
>     > id=wx.ID_ANY,pos=wx.DefaultPosition,size=wx.DefaultSize,
>     > style=wx.DEFAULT_FRAME_STYLE):
>     >         wx.Frame.__init__(self, parent)
>     >         self.bestsize = (120,75)
>     >         self.SetSize(self.GetBestSize())
>     >         self.panel = wx.Panel(self,wx.ID_ANY)
>     >         self.panel.nb = wx.aui.AuiNotebook(self.panel)
>     >         self.label =
>     wx.StaticText(self.panel.nb,wx.ID_ANY,"\n\n\n\naaa\n")
>     >         self.panel.nb.AddPage(self.label, "txt")
>     >         sizer = wx.BoxSizer()
>     >         sizer.Add(self.panel.nb, 1, wx.EXPAND)
>     >         self.panel.SetSizer(sizer)
>     >         self.plotlist = {}
>     >         self.Fit()
>     >         EVT_RESULT(self,self.OnResult)
>     >         self.worker = ParserThread(5758,self)
>     >
>     >     def OnResult(self,event):
>     >         tag,mbuff = event.data
>     >         if tag == -1:
>     >             return
>     >         for buff in mbuff:
>     >             if not self.plotlist.has_key(buff['name']):
>     >                 cback = mycback
>     >                 page =
>     CanvasPanel(buff['name'],mycback,self.panel.nb)
>     >                 self.panel.nb.AddPage(page,buff['name'])
>     >                 self.plotlist[buff['name']] = page
>     >             myPlot = self.plotlist[buff['name']]
>     >             myPlot.process(buff)
>     >
>     > def main(argv=None):
>     >     if argv != None:
>     >         sys.argv = argv
>     >     app = wx.App()
>     >     frame = MyApp()
>     >     frame.Show()
>     >     app.MainLoop()
>     >
>     > if __name__ == "__main__":
>     >     main()
>     > ===code snippet===
>     > ----
>     > This message contains confidential information and may contain
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>     message by mistake, please immediately notify us and delete the
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>     >
>     >
>     ------------------------------------------------------------------------------
>     > Enter the BlackBerry Developer Challenge
>     > This is your chance to win up to $100,000 in prizes! For a
>     limited time,
>     > vendors submitting new applications to BlackBerry App World(TM)
>     will have
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>     > details at: http://p.sf.net/sfu/Challenge
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>     ------------------------------------------------------------------------------
>     Enter the BlackBerry Developer Challenge
>     This is your chance to win up to $100,000 in prizes! For a limited
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>     will have
>     the opportunity to enter the BlackBerry Developer Challenge. See
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> ------------------------------------------------------------------------------
> Enter the BlackBerry Developer Challenge  
> This is your chance to win up to $100,000 in prizes! For a limited time, 
> vendors submitting new applications to BlackBerry App World(TM) will have
> the opportunity to enter the BlackBerry Developer Challenge. See full prize  
> details at: http://p.sf.net/sfu/Challenge
> ------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
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> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

Hi,

I am programming a oscilloscope module in Python. For this reason, I
want to plot very many data points as fast as possible. This can be
more than 100 000 at once. So far I have been using the ploting module
of wxPython. However, it becomes unstable for more than 25000 points.
Can someone recommend me a faster plotting library? It would be really
cool if one could embed this in wxPython. If someone has an idea I
would be very glad about answer.

With kind regards,

Daniel

I see lots of examples on how to play around with the legend, adding
columns, shadow, etc...    Is there a way to remove the box so that
all you see are the items of things being plotted with no box around
them?

   Also, keeping the box but removing the black outline around the box
is good enough since it would look like there is no box.

                                                Joseph Smidt

-- 
------------------------------------------------------------------------
Joseph Smidt <jos...@gm...>

Physics and Astronomy
4129 Frederick Reines Hall
Irvine, CA 92697-4575
Office: 949-824-3269

I am trying to install matplot on an OS X (10.5.7) Intel MacBook.  I
cannot build the matplot lib extensions.  I get the following error:

....
g++ -arch i386 -arch ppc -isysroot /Developer/SDKs/MacOSX10.4u.sdk
-bundle -undefined dynamic_lookup
build/temp.macosx-10.3-i386-2.5/src/ft2font.o
build/temp.macosx-10.3-i386-2.5/src/mplutils.o
build/temp.macosx-10.3-i386-2.5/CXX/cxx_extensions.o
build/temp.macosx-10.3-i386-2.5/CXX/cxxsupport.o
build/temp.macosx-10.3-i386-2.5/CXX/IndirectPythonInterface.o
build/temp.macosx-10.3-i386-2.5/CXX/cxxextensions.o -L/sw/lib
-L/sw/lib/freetype219/lib -L/usr/local/lib -L/usr/lib -L/sw/lib
-L/usr/X11R6/lib -lfreetype -lz -lstdc++ -lm -o
build/lib.macosx-10.3-i386-2.5/matplotlib/ft2font.so
-Wl,-framework,CoreServices -Wl,-framework,ApplicationServices
ld warning: in /sw/lib/libfreetype.dylib, file is not of required architecture
ld: in /sw/lib/libiconv.2.dylib, file is not of required architecture
for architecture ppc
collect2: ld returned 1 exit status
lipo: can't open input file:
/var/folders/xW/xW61KykkHgSaGc2vPwOTCk+++TI/-Tmp-//ccGEBvWb.out (No
such file or directory)
error: command 'g++' failed with exit status 1


This is matplotlib-0.91.4.  I get the same error whether I install via
the egg or download the zipped tar ball and run "python setup.py
build".

The libraries in "/sw/lib" were installed by the fink package manager.

In particular I don't understand the error message about
libiconv.2.dylib being "not of required architecture for architecture
ppc".  It seems like matplot lib thinks it's building on a PPC instead
of an Intel machine.

I'm running Active State Python 2.5.4.

Any suggestions for how to get matplotlib working on my machine?

Thanks.
-- 
W.P. McNeill
http://staff.washington.edu/billmcn/index.shtml

On Thu, Jul 9, 2009 at 10:05 AM, Mustafa Sakalsiz <sak...@gm...>wrote:

> Hi all,
>
> I have a PyQt application and want to show some charts on it. However, I
> don't want to show the charts on a classic widget, instead I need to show
> the charts on a QGraphicsView/QGraphicsScene object. Because I am using
> graphics view's zoom properties.
>
> Therefore I want to paint the charts on a QPicture object. I looked at the
> Qt backend examples and realized that the examples paints the charts on a
> image, then converts the image to the a QImage object.
>
> Drawing on a SVG is also enough for me, because I can show SVG items on
> graphics view framework, however SVG backend doesn't draw well numbers and
> texts.
>
> Please help me, All I want is resolution and machine independant charts
> that can be drawn on Qt objects.
>
>
I don't think this is currently possible without using the output from the
svg backend. The qt backend is only designed to render images produced by
AGG, native qt rendering is not implemented.

Darren

On Thu, Jul 9, 2009 at 3:40 AM, guillaume ranquet <gra...@wy...>wrote:

> Hi again.
>
> I found out that removing the resize handler of the wxpanel gives me a
> nice animated plot that works as expected (but with no resize :-/)
>
> def _SetSize(self):
>    pixels = tuple(self.parent.GetClientSize())
>    self.SetSize(pixels)
>    self.canvas.SetSize(pixels)
>    self.figure.set_size_inches(float(pixels[0])/self.figure.get_dpi(),
>                    float(pixels[1])/self.figure.get_dpi(),forward=True)
>
>
> I took that code from:
> http://www.scipy.org/Matplotlib_figure_in_a_wx_panel
> any hints on what to do from there?
>

I have run your code and I am not sure what your issue is.  What is wrong
with how it is behaving?  You say in the first post, "the resizing of the
window make the plot look terribly broken", but I am not seeing that.  And
what platform and version of wx and mpl are you using?

Che


>
> guillaume ranquet wrote:
> > Hi list (yes, me, again :D)
> >
> > I'm having difficulties with matplotlib svn (rev 7249) and animations.
> > I'm a bit lost on what I have to do to get my animation running smoothly?
> >
> > I had various attempts, It seems that the best result I can have is by
> > totally skipping the canvas.restore_region(self.background) shown in the
> > examples : the resizing of the window make the plot look terribly broken
> >
> > sorry for this question that seems well covered by documentation and
> > examples :S
> > I'm attaching a sample code that reproduces the behavior of my app, It's
> > a bit long but I hope there's some good things in it that can be usefull
> > to others :)
> >
> >
> > ===code snippet===
> > import wxversion
> > wxversion.ensureMinimal('2.8')
> >
> > import numpy as np
> > import matplotlib.pyplot as plt
> >
> > from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as
> > FigureCanvas
> >
> > import wx
> > import wx.aui
> >
> > from matplotlib.figure import Figure
> > import sys
> > import getopt
> > from threading import *
> > from itertools import izip
> > import time
> >
> > class myplotData(Figure):
> >     def __init__(self,name,width=5,height=4,dpi=60,x_axis=None):
> >         Figure.__init__(self,figsize=(width, height),dpi=dpi)
> >         self.name = name
> >         self.ax = self.add_subplot(111,label=name,animated=True)
> >         self.bg = None
> >         self.mdirty = False
> >
> >     def refreshbg(self):
> >         self.bg = self.canvas.copy_from_bbox(self.ax.bbox)
> >
> >     def feed(self,n):
> >         timestamp = n[0]
> >         self.n = 0
> >         if self.bg == None:
> >             self.canvas = self.ax.figure.canvas
> >             self.canvas.draw()
> >             self.bg = self.canvas.copy_from_bbox(self.ax.bbox)
> >             for xs in n[1:]:
> >                 self.ax.plot([timestamp],[xs],animated=True)
> >             return
> >         #self.canvas.restore_region(self.bg)
> >         mylines = self.ax.get_lines()
> >         for xs,line in izip(n[1:],mylines):
> >             x,y = line.get_data()
> >             x = np.concatenate((x,[timestamp]))
> >             y = np.concatenate((y,[xs]))
> >             line.set_data([x,y])
> >             self.ax.set_xlim(xmax=timestamp)
> >             curyminlim,curymaxlim = self.ax.get_ylim()
> >
> > self.ax.set_ylim(ymin=min(xs,curyminlim),ymax=max(xs,curymaxlim))
> >             self.ax.draw_artist(line)
> >         self.mdirty = True
> >         wx.WakeUpIdle()
> >
> >     def blit(self):
> >         if self.mdirty:
> >             self.mdirty = False
> >             self.canvas.blit(self.ax.get_figure().bbox)
> >
> > class CanvasPanel(wx.Panel):
> >     def __init__(self,name,callback=None,parent=None):
> >         wx.Panel.__init__(self, parent)
> >         self.SetSize((120, 80))
> >         self.figure = myplotData(name)
> >         self.canvas = FigureCanvas(self,-1,self.figure)
> >         self.parent = parent
> >         self.callback = callback
> >         color = (255,255,255)
> >         self.SetColor(color)
> >         self._SetSize()
> >         self._resizeflag = False
> >         self.Bind(wx.EVT_IDLE, self._onIdle)
> >         self.Bind(wx.EVT_SIZE, self._onSize)
> >
> >     def SetColor(self,rgbtuple=None):
> >         """Set figure and canvas colours to be the same."""
> >         if rgbtuple is None:
> >             rgbtuple =
> > wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get()
> >         clr = [c/255. for c in rgbtuple]
> >         self.figure.set_facecolor(clr)
> >         self.figure.set_edgecolor(clr)
> >         self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple))
> >
> >     def _onSize(self,event):
> >         self._resizeflag = True
> >
> >     def _onIdle(self,evt):
> >         if self._resizeflag:
> >             self._resizeflag = False
> >             self._SetSize()
> >         self.figure.blit()
> >
> >     def _SetSize(self):
> >         pixels = tuple(self.parent.GetClientSize())
> >         self.SetSize(pixels)
> >         self.canvas.SetSize(pixels)
> >
> self.figure.set_size_inches(float(pixels[0])/self.figure.get_dpi(),
> >
> float(pixels[1])/self.figure.get_dpi())
> >         #self.figure.refreshbg()
> >
> >     def process(self,data):
> >         if self.callback != None:
> >             x = self.callback(data)
> >             self.figure.feed(x)
> >         else:
> >             self.figure.feed(data)
> >
> > # Define notification event for thread notifications
> > EVT_RESULT_ID = wx.NewId()
> >
> > def EVT_RESULT(win, func):
> >     """Define Result Event."""
> >     win.Connect(-1, -1, EVT_RESULT_ID, func)
> >
> > class ResultEvent(wx.PyEvent):
> >     """Simple event to carry arbitrary result data."""
> >     def __init__(self, data):
> >         """Init Result Event."""
> >         wx.PyEvent.__init__(self)
> >         self.SetEventType(EVT_RESULT_ID)
> >         self.data = data
> >
> > class ParserThread(Thread):
> >     def __init__(self,source,notify_window):
> >         Thread.__init__(self)
> >         self._notify_window = notify_window
> >         self.data = np.arange(0,2*np.pi,0.01)
> >         self.n = 0
> >         self.round = 0
> >         self.start()
> >
> >     def run(self):
> >         while(1):
> >             mbuff = {}
> >             mbuff['name'] = "My Sin Plot"
> >             mbuff['x'] = self.data[self.n] + self.round*2*np.pi
> >             mbuff['y1'] = np.sin(mbuff['x'])
> >             mbuff['y2'] = np.sin(mbuff['x'] + np.pi/2)
> >             self.n+=1
> >             if self.n == len(self.data):
> >                 self.n = 0
> >                 self.round += 1
> >             wx.PostEvent(self._notify_window,
> ResultEvent(('test',[mbuff])))
> >             time.sleep(.1)
> >
> > def mycback(data):
> >     return data['x'],data['y1'],data['y2']
> >
> > class MyApp(wx.Frame):
> >
> >     def __init__(self,parent=None,
> > id=wx.ID_ANY,pos=wx.DefaultPosition,size=wx.DefaultSize,
> > style=wx.DEFAULT_FRAME_STYLE):
> >         wx.Frame.__init__(self, parent)
> >         self.bestsize = (120,75)
> >         self.SetSize(self.GetBestSize())
> >         self.panel = wx.Panel(self,wx.ID_ANY)
> >         self.panel.nb = wx.aui.AuiNotebook(self.panel)
> >         self.label =
> wx.StaticText(self.panel.nb,wx.ID_ANY,"\n\n\n\naaa\n")
> >         self.panel.nb.AddPage(self.label, "txt")
> >         sizer = wx.BoxSizer()
> >         sizer.Add(self.panel.nb, 1, wx.EXPAND)
> >         self.panel.SetSizer(sizer)
> >         self.plotlist = {}
> >         self.Fit()
> >         EVT_RESULT(self,self.OnResult)
> >         self.worker = ParserThread(5758,self)
> >
> >     def OnResult(self,event):
> >         tag,mbuff = event.data
> >         if tag == -1:
> >             return
> >         for buff in mbuff:
> >             if not self.plotlist.has_key(buff['name']):
> >                 cback = mycback
> >                 page = CanvasPanel(buff['name'],mycback,self.panel.nb)
> >                 self.panel.nb.AddPage(page,buff['name'])
> >                 self.plotlist[buff['name']] = page
> >             myPlot = self.plotlist[buff['name']]
> >             myPlot.process(buff)
> >
> > def main(argv=None):
> >     if argv != None:
> >         sys.argv = argv
> >     app = wx.App()
> >     frame = MyApp()
> >     frame.Show()
> >     app.MainLoop()
> >
> > if __name__ == "__main__":
> >     main()
> > ===code snippet===
> > ----
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I believe most of the plots have been made using this:
http://people.csail.mit.edu/rasmus/summon/index.shtml#download

I'm currently playing around with 2D OpenGL visualization of large datasets
and stumbled upon this...
which reminded me of this post...

may be of use to someone

j.


Gökhan SEVER-2 wrote:
> 
> For those who haven't seen the article on slashdot:
> 
> A Visual Expedition Inside the Linux File
> Systems<http://cs.jhu.edu/%7Erazvanm/fs-expedition/>
> 
> Some figures are highly eye-catching. Some of which I haven't seen in
> matplotlib gallery nor could be produced with.
> 
> Gökhan
> 
> ------------------------------------------------------------------------------
> Crystal Reports - New Free Runtime and 30 Day Trial
> Check out the new simplified licensing option that enables unlimited
> royalty-free distribution of the report engine for externally facing 
> server and web deployment.
> http://p.sf.net/sfu/businessobjects
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 

-- 
View this message in context: http://www.nabble.com/Visuals-for-linux-file-systems-tp24083209p24410969.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hello, how can I center axis tick labels, so that the labels ends up at 
the center between 2 ticks.

thanks in advance,
Johann

Hi all,

I have a PyQt application and want to show some charts on it. However, I
don't want to show the charts on a classic widget, instead I need to show
the charts on a QGraphicsView/QGraphicsScene object. Because I am using
graphics view's zoom properties.

Therefore I want to paint the charts on a QPicture object. I looked at the
Qt backend examples and realized that the examples paints the charts on a
image, then converts the image to the a QImage object.

Drawing on a SVG is also enough for me, because I can show SVG items on
graphics view framework, however SVG backend doesn't draw well numbers and
texts.

Please help me, All I want is resolution and machine independant charts that
can be drawn on Qt objects.

Saki

In your example, you are adding the axes to the figure twice:

        axes = self.figure.add_subplot(1, 1, 1)
        self.figure.add_axes(axes)

add_subplot both creates and adds the axes to the figure, so it is 
unnecessary to later add it.  add_axes is intended for axes that have 
been created directly from the Axes constructor.  Unfortunately, special 
care needs to be taken for overlapping axes (something that matplotlib 
could maybe improve on), so as you saw, the zooming happens twice.  
Also, perhaps we should consider raising an exception when the same Axes 
is added to the Figure twice.  (First I'll have to ensure there's no 
legitimate reason to do so.) 

In any case, simply removing the second line above appears to be enough 
to get this to work correctly.

Cheers,
Mike

Jervis Whitley wrote:
> Hi,
>
> Could anyone help me with the following problem I am having.
>
> http://dpaste.com/64913/
>
> The code listed above should be enough to reproduce the problem.
>
> I on using the zoom function from the toolbar, I find that the figure limits
> are set to a smaller size than the zoom i selected - a kind of 'double zoom'.
>
>
> I was able to track down the problem to backend_bases.py in the matplotlib
> distribution (current release).
>
> Inside this file there is a member called 'release_zoom'
>
> there is a section of code that says..
>
> for cur_xypress in self._xypress:
>
>   lastx, lasty, a, ind, lim, trans = cur_xypress
>   # code
>   a.transData.inverted()
>   # code
>   a.set_xlim((x0, x1)) # etc..
>
>
> I am finding that there are two items in self._xypress, and that
> the 'a' in both of them (axes i think) are the same object
> i.e a1 is a2 == True
>
> this means that a.transData.inverted() is called twice on the same axes.
> The first time through the for loop it gets the limits correct, the
> second time, they are incorrect
> because of the second call to inverted.
>
> I have implemented a shoddy fix where i check that if the axes is the same
> as one that is seen before, I just continue.
>
> Is anyone else able to see this, or is it just something in the way
> i've set up my
> original pasted code?
>
> Cheers,
>
> Jervis
>
> ------------------------------------------------------------------------------
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> vendors submitting new applications to BlackBerry App World(TM) will have
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>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Robin wrote:
> PS - some minor comments about the sourceforge download page (I dont
> know if these can be changed):
> On the summary page ( http://sourceforge.net/projects/matplotlib/ )
> the "download now" link  which I would think should point to the
> latest release point to 0.91. Then when you do 'view all files'
> matplotlib-maintenance is the default expanded branch of the tree with
> latest version 0.91.4. To get the real new version you have to close
> this tree or scroll down to the normal matplotlib branch. If I didn't
> know the versions to look for beforehand I think this would be really
> confusing - can you make matplotlib the default instead of
> matplotlib-maintenance?
>   
This appears to be a bug in the recent updates to the SourceForge interface:

https://sourceforge.net/apps/trac/sourceforge/ticket/1748

I have set the default download file to 0.98.5, however, the setting 
doesn't seem to stick.  Hopefully SF will resolve this on their own.
> Also I went to the Developer page to find the svn repo
> http://sourceforge.net/projects/matplotlib/develop and followed the
> instructions there which of course started to pull in the whole repo.
> When I found it taking a long time I noticed that I was getting
> branches etc I didnt need. I know this is covered with the correct
> command in the install page, but I thought it would be handy to change
> it here as well to avoid someone else making the mistake I made.
> These are very minor things and normally I wouldn't bother mentioning,
> but since the matplotlib website etc. seems so nice I figured there is
> someone who cares about this stuff - although I'm not sure whether its
> possible to change this stuff in sourceforge.
>   
Unfortunately, I don't think this is changeable.  It does include the 
easy-to-miss caveat right underneath it (on certain pages, but not on 
others, depending on how you get to it):


        Warning
        This is a generic Subversion checkout command which will pull
        all modules, tags and/or branches of the project. Please refer
        to project home page for specific SVN instructions, or use
        "Browse Repository" link; in most cases, you will want to add
        '/trunk' to the HTTPS URL above to check out only trunk (main
        development line).

It's nice to see Sourceforge putting some effort into usability 
improvements again (though the roll-out has been less than perfect).  
Hopefully these sorts of things will finally get addressed.

Cheers,
Mike

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

This is arguably a "bug" that the dash descriptors aren't being scaled 
along with the line width.  However, I'm loathe to "fix" it as it's been 
this way a long time, and all backends are at least consistent with one 
another in this behavior.  Note, however, that inkscape, and I suspect 
other vector graphics tools, don't behave like matplotlib -- the dashes 
are scaled with the line width -- even though the underlying format, in 
this case SVG, doesn't behave that way.

As a workaround, you can explicitly set the dash sequence, e.g.:

plot([1,2,3], lw=6, dashes=(6, 6))

See here:

http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.lines.Line2D.set_dashes

Cheers,
Mike

Robin wrote:
> Again, apologies if this is an obvious question but I couldn't find the answer.
>
> With a lw=1 dotted (:) line the dots are square and it looks very
> nice. But when I put lw up say to 2 or 3, the dots become rectangular,
> which looks a bit odd, particularly at points where the underlying
> graph curves sharply compared to the spacing of the dots.
>
> Is there anyway to keep the dots square (ie as lw=2 for both
> dimensions) instead of rectangular?
>
> Cheers
>
> Robin
>
> ------------------------------------------------------------------------------
> Enter the BlackBerry Developer Challenge  
> This is your chance to win up to $100,000 in prizes! For a limited time, 
> vendors submitting new applications to BlackBerry App World(TM) will have
> the opportunity to enter the BlackBerry Developer Challenge. See full prize  
> details at: http://p.sf.net/sfu/Challenge
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

hey there!



Pau wrote:
> ...
> 0.00e+00   1.00e-04 81039
> 1.00e-04   2.00e-04 4472
> 2.00e-04   3.00e-04 2033
> ...
> 
> The bins are given by the two first number columns.
> 
> For instance, the first bin is from 0.00e+00 to 1.00e-04 and has the
> number of data 81039

hey pau!

i do not understand hist well myself, but i think it might be doing
something different from what you want. i think that if you run hist on
e.g. the numbers
100, 11, 10, 9, 0, 0, 0, 0, 0

and make 10 bins, it will give you

x	y
0	5
10	3
20	0
30	0
40	0
50	0
60	0
70	0
80	0
90	0
100	1

if you histogram the data on the y-axis, there is no reason why this
should be still connected to the x-axis.

you have already a histogramm -- if you want to rebin, i guess you
should use "histogram" on the x-axis and weight with the y-data.

> H = load ( './histo3.dat')
> h =  H[:, 2]  # the third column
> 
> n, bins, patches = hist(h, 997, normed=0, log=0,
> facecolor='lightblue', alpha=0.75)

> 0 - 90000 --> on x axis
> Notice in the data file that x does not get further than 9.96e-02
> So the maximum should be 0.0996 and I am getting 90000

if you pass only the third column to hist, it is a bit unfair to expect
it to know the other two ;)


good luck,
sebastian.

setupext.py was indeed not reading the macosx build information from setup.cfg. I've put a patch here:

http://sourceforge.net/tracker/?func=detail&atid=560722&aid=2818964&group_id=80706

(patch number 2818964).

The error you're seeing is described in this technical note from Apple:

http://developer.apple.com/qa/qa2007/qa1567.html

One thing that changed between 0.98.5.3 and the current SVN version is that we're now using matplotlib's path cleanup code, which is in C++. Maybe the linker is picking up different libraries with C++? Though I haven't seen this error on Mac OS X 10.4 or 10.5.

--Michiel.

--- On Thu, 7/9/09, Robin <ro...@gm...> wrote:

> From: Robin <ro...@gm...>
> Subject: [Matplotlib-users] current svn fails to build on mac
> To: mat...@li...
> Date: Thursday, July 9, 2009, 6:11 AM
> Hi,
> 
> Just to let folks know the current SVN version fails to
> build on a
> mac. I built the release (0.98.5.3) successfully from
> source so I
> think my environment, dependencies etc. should be OK.
> 
> The problem seems to be building mac os x native backend:
> building 'matplotlib.backends._macosx' extension
> gcc -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.
> -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
> g++ -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk -g
> -bundle
> -undefined dynamic_lookup
> build/temp.macosx-10.3-i386-2.5/src/_macosx.o
> build/temp.macosx-10.3-i386-2.5/CXX/cxx_extensions.o
> build/temp.macosx-10.3-i386-2.5/CXX/cxxextensions.o
> build/temp.macosx-10.3-i386-2.5/CXX/cxxsupport.o
> build/temp.macosx-10.3-i386-2.5/CXX/IndirectPythonInterface.o
> build/temp.macosx-10.3-i386-2.5/src/agg_py_transforms.o
> build/temp.macosx-10.3-i386-2.5/src/path_cleanup.o
> -L/usr/local/lib
> -L/usr/lib -L/usr/X11R6/lib -lstdc++ -lm -o
> build/lib.macosx-10.3-i386-2.5/matplotlib/backends/_macosx.so
> -framework Cocoa
> ld: cycle in dylib re-exports with
> /Developer/SDKs/MacOSX10.4u.sdk/usr/X11R6/lib/libGL.dylib
> collect2: ld returned 1 exit status
> error: command 'g++' failed with exit status 1
> 
> How can I disable building the mac os x backend. I copied
> setup.cfg.example to setup.cfg and have "macosx = False"
> but it
> doesn't seem to have any effect. "python setup.py config"
> still
> reports  "Mac OS X native: yes".
> 
> Thanks
> 
> Robin
> 
> PS - some minor comments about the sourceforge download
> page (I dont
> know if these can be changed):
> On the summary page ( http://sourceforge.net/projects/matplotlib/ )
> the "download now" link  which I would think should
> point to the
> latest release point to 0.91. Then when you do 'view all
> files'
> matplotlib-maintenance is the default expanded branch of
> the tree with
> latest version 0.91.4. To get the real new version you have
> to close
> this tree or scroll down to the normal matplotlib branch.
> If I didn't
> know the versions to look for beforehand I think this would
> be really
> confusing - can you make matplotlib the default instead of
> matplotlib-maintenance?
> Also I went to the Developer page to find the svn repo
> http://sourceforge.net/projects/matplotlib/develop and
> followed the
> instructions there which of course started to pull in the
> whole repo.
> When I found it taking a long time I noticed that I was
> getting
> branches etc I didnt need. I know this is covered with the
> correct
> command in the install page, but I thought it would be
> handy to change
> it here as well to avoid someone else making the mistake I
> made.
> These are very minor things and normally I wouldn't bother
> mentioning,
> but since the matplotlib website etc. seems so nice I
> figured there is
> someone who cares about this stuff - although I'm not sure
> whether its
> possible to change this stuff in sourceforge.
> 
> ------------------------------------------------------------------------------
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> 


      

> On Wed, Jul 8, 2009 at 10:57 PM, Jae-Joon Lee<lee...@gm...> wrote:
>> If you use the svn version of matplotlib, you  may use axes_grid toolkit.
>>
>> http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#insetlocator

Wow - this is really amazing. Sometimes it can be a bit frustrating
when I'm working to a deadline to figure out the details of Bbox's and
such but when I find something like this it really makes it worth
while! It does exactly what I want, really easy to use and only took
about 5 lines! (It would be nice if there were some docstrings in
there though :))

On Thu, Jul 9, 2009 at 4:02 AM, Jae-Joon Lee<lee...@gm...> wrote:
> However, It is possible to specify the location of the axes in
> normalized axes coordinate.
>
> http://thread.gmane.org/gmane.comp.python.matplotlib.general/16373

I'm afraid I didn't really understand how to apply this in my case...
I guess I would have to set the position and everything by hand
instead of using the zoom helper. I preferred to use the zoom helper,
but found the legend loc settings put it slightly too close to the
edge of the surrounding axes for my taste.

So after checking the docstrings for how to position legends I came up
with something that works, but it required a minor change to the
inset_locator.py to pass the bbox_to_anchor and bbox_transform (it
looks like this was intended since they have None default values):

robin-mbp-3:~ robince$ diff
/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/mpl_toolkits/axes_grid/inset_locator.py
code/scipy_build/matplotlib/lib/mpl_toolkits/axes_grid/inset_locator.py
288c288
<    axes_locator = AnchoredZoomLocator(parent_axes, zoom=zoom,
loc=loc, bbox_to_anchor=bbox_to_anchor,bbox_transform=bbox_transform)
---
>    axes_locator = AnchoredZoomLocator(parent_axes, zoom=zoom, loc=loc)

With this minor change I get exactly what I want!

   ax1ins = zoomed_inset_axes(ax1, 3,
bbox_to_anchor=(0.1,0,1,1),bbox_transform=ax1.transAxes, loc=6)
    plot_trial_dists(res515[0],8,ax=ax1ins)
    ax1ins.set_xlim([5, 50])
    ax1ins.set_ylim([0, 0.04])
    ax1ins.set_xticks([])
    ax1ins.set_yticks([])
    mark_inset(ax1, ax1ins, loc1=2, loc2=4, fc="none", ec="0.5")

thanks again, this is really terrific!

Cheers

Robin

On Thu, Jul 9, 2009 at 12:15 PM, Robin<ro...@gm...> wrote:
> On Thu, Jul 9, 2009 at 12:06 PM, Michiel de Hoon<mjl...@ya...> wrote:
>>
>> One thing that changed between 0.98.5.3 and the current SVN version is that we're now using matplotlib's path cleanup code, which is in C++. Maybe the linker is picking up different libraries with C++? Though I haven't seen this error on Mac OS X 10.4 or 10.5.
>>
>
> I should have specified I'm on OS X 10.5.7. Xcode 3.0.
>

As do many others I consistently forget to reply to all on this list.
This is the only list I follow that doesn't set the reply-to to go to
the list!

Cheers

Robin

On Thu, Jul 9, 2009 at 11:11 AM, Robin<ro...@gm...> wrote:
> How can I disable building the mac os x backend. I copied
> setup.cfg.example to setup.cfg and have "macosx = False" but it
> doesn't seem to have any effect. "python setup.py config" still
> reports  "Mac OS X native: yes".

I disabled macosx building by commenting out the
if options['build_macosx']:
clause in setup.py.

Cheers

Robin

Hi,

Just to let folks know the current SVN version fails to build on a
mac. I built the release (0.98.5.3) successfully from source so I
think my environment, dependencies etc. should be OK.

The problem seems to be building mac os x native backend:
building 'matplotlib.backends._macosx' extension
gcc -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.
-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
g++ -arch i386 -isysroot /Developer/SDKs/MacOSX10.4u.sdk -g -bundle
-undefined dynamic_lookup
build/temp.macosx-10.3-i386-2.5/src/_macosx.o
build/temp.macosx-10.3-i386-2.5/CXX/cxx_extensions.o
build/temp.macosx-10.3-i386-2.5/CXX/cxxextensions.o
build/temp.macosx-10.3-i386-2.5/CXX/cxxsupport.o
build/temp.macosx-10.3-i386-2.5/CXX/IndirectPythonInterface.o
build/temp.macosx-10.3-i386-2.5/src/agg_py_transforms.o
build/temp.macosx-10.3-i386-2.5/src/path_cleanup.o -L/usr/local/lib
-L/usr/lib -L/usr/X11R6/lib -lstdc++ -lm -o
build/lib.macosx-10.3-i386-2.5/matplotlib/backends/_macosx.so
-framework Cocoa
ld: cycle in dylib re-exports with
/Developer/SDKs/MacOSX10.4u.sdk/usr/X11R6/lib/libGL.dylib
collect2: ld returned 1 exit status
error: command 'g++' failed with exit status 1

How can I disable building the mac os x backend. I copied
setup.cfg.example to setup.cfg and have "macosx = False" but it
doesn't seem to have any effect. "python setup.py config" still
reports  "Mac OS X native: yes".

Thanks

Robin

PS - some minor comments about the sourceforge download page (I dont
know if these can be changed):
On the summary page ( http://sourceforge.net/projects/matplotlib/ )
the "download now" link  which I would think should point to the
latest release point to 0.91. Then when you do 'view all files'
matplotlib-maintenance is the default expanded branch of the tree with
latest version 0.91.4. To get the real new version you have to close
this tree or scroll down to the normal matplotlib branch. If I didn't
know the versions to look for beforehand I think this would be really
confusing - can you make matplotlib the default instead of
matplotlib-maintenance?
Also I went to the Developer page to find the svn repo
http://sourceforge.net/projects/matplotlib/develop and followed the
instructions there which of course started to pull in the whole repo.
When I found it taking a long time I noticed that I was getting
branches etc I didnt need. I know this is covered with the correct
command in the install page, but I thought it would be handy to change
it here as well to avoid someone else making the mistake I made.
These are very minor things and normally I wouldn't bother mentioning,
but since the matplotlib website etc. seems so nice I figured there is
someone who cares about this stuff - although I'm not sure whether its
possible to change this stuff in sourceforge.

Hi Robin,

On Wednesday 08 July 2009 18:48:04 Robin wrote:
> On Wed, Jul 8, 2009 at 4:00 PM, Matthias Michler<Mat...@gm...> 
wrote:
> > What version of matplotlib do you use?
>
> I think I am up to date.
>
> > For me the following works:
> >
> > ax.set_position(ax.get_position())
>
> That works for me to - the problem is I wanted to change the numbers a
> little once I saw them. I see now the thing to do (I think) is
> print ax.get_position() # have a look
> from matplotlib.transforms import Bbox
> ax.set_position(Bbox([ [a, b], [c, d] ])) # with numbers changed
> slightly from the printed ones
>
> At the time I thought Bbox was a more internal thing so wanted a way
> to convert Bbox to the format described in the docstring ([left,
> bottom, width, height]). I think it would be nice if Bbox had some
> method to give this (is Bbox.to_pos() ) or something... perhaps there
> already is but I couldn't find it.
In the docstring of set_position it is also mentioned that a Bbox can be given 
as pos.

Just one additional remark: You can also modify the returned Bbox and pass it 
in again into set_position - something like

bb = ax.get_position()
# get an array holding the points:
a = bb.get_points()
# ...  modify a ...
bb.set_points(a)
ax.set_position(bb)

best regards Matthias

> Anyway now I learned Bbox I think it is actually a nicer way to think
> about when doing it by hand (bottom left corner, top right corner).
>
> Thanks for your help,
>
> Robin
>
> > The object returned by get_position is "A mutable bounding box.", which
> > is also supported in set_position. Nevertheless set_position supports
> > lists with '[left, bottom, width, height]', too. E.g.
> > ax.set_position([0.2, .4, 0.4, .5])
> >
> > best regards Matthias
> >
> > On Wednesday 08 July 2009 16:10:37 Robin wrote:
> >> Hi,
> >>
> >> After quite a bit of trial and error I realised that ax.get_position()
> >> is returning numbers in the form a Bbox which are very different to
> >> the numbers you need for ax.set_position().
> >>
> >> Often I want to use the subplot positioning first, then get the
> >> positions that sets up for some manual tweaking. Is there a way to
> >> convert the output of get_position into the same form as for
> >> set_position?
> >>
> >> Cheers
> >>
> >> Robin