matplotlib-users Mailing List for matplotlib

John Hunter wrote:
>See examples/shared_axis_demo.py,
>examples/two_scales.py and examples/ganged_plots.py.
>
Speaking of which: I just put a ganged plot made with matplotlib into a 
grant proposal. It worked really well with one exception: the top 
value of the y axis on each graph was printed on top of the bottom value 
of the graph above. If you look carefully, you'll see that 
examples/ganged_plots.py does the same thing.
Any good way to avoid this?

On 2005年4月15日 00:34:15 -0500, John Hunter
<jdh...@ac...> wrote :
> Olive> Hello, I've juste downloaded the last version (0.8) of
> Olive> matplotlib and successfully built it on SunOS 5.8 with GTK
> Olive> backend (gcc 3.2.2). "import matplolib" is OK but typing
> Olive> "from matplotlib.pylab import *" result in a core dumped !
> Olive> without any error message or exception... "import gtk",
> Olive> "import pygtk", and "import wx" works OK.
> 
> Olive> I've tried with version 0.72, same error :
> 
> I don't have a lot of good advice for you, but here is how I would go
> about debugging the problem. You can recompile mpl in verbose mode.
> rm -rf "site-packages/matplotlib" and your "build" subdir and edit
> setup.py and set VERBOSE=True and recompile/reinstall.
Ah ! that was what I was looking for !
So I've managed to isolate the culprit :
>>> from font_manager import FontProperties
Glyph::init_type
FT2Font::init_type
ft2font_module::new_ft2font
FT2Font::FT2Font
FT2Font::clear
Illegal Instruction (core dumped)
It appears that the problem was in file ft2font.cpp at line 354 :
const char* ps_name = FT_Get_Postscript_Name( face );
I don't know what is wrong here but I managed to get matplotlib working
by replacing it by :
const char* ps_name = NULL;
I forgot to take the version number of the freetype library before
leaving work, I will get it on monday.
I haven't understand what is really in the argument 'face', can you give
me a code which print the fields of 'face' ? (I don't know C++...)
Thank you anyway for your help !

>>>>> "Werner" == Werner F Bruhin <wer...@fr...> writes:
 Werner> Note that all of the above still have problems if I do:
 Werner> self.figure = Figure(frameon=False)
The first thing to be drawn to the figure is the figure frame , a
matplotlib.patches.Rectangle instance. This is what "clears" the
background. If you want to clear the background to a certain color,
set the facecolor of the figure frame to that color and it will be
done. If you don't like the thin edge around the frame, set the
rectangle edgecolor to be the same as the facecolor. If you want the
figure to be transparent to overlay some other image, set the
rectangle alpha to be 0. It will still clear the pixel buffer, but
will be transparent.
In other words, you should be able to get any desired effect by
leaving the frame on and setting its properties.
See http://matplotlib.sf.net/matplotlib.patches.html for more
information on Patch/Rectangle properties.
JDH

>
>Take a look at the release notes at
>http://matplotlib.sf.net/whats_new.html for release 0.72. We improved
>the way we do multiscale axes and shared axis axes, and the interface
>changed somewhat. See examples/shared_axis_demo.py,
>examples/two_scales.py and examples/ganged_plots.py. The examples are
>available in a zip file on the website.
Thanks for the information. I haven't been keeping up with matplotlib
improvements very well. Looking back at the release notes, its amazing how
fast the progress has been.
The ylim() and twinx() functions greatly improved the readibility, and
restored the functionality.
>
> Wendell> Is there another way of doing this that gets back to the
> Wendell> original output?
>Yes
>
>
> Wendell> Also, is it just my imagination, or does 0.8 take longer
> Wendell> to display graphs than previous versions. I haven't done
> Wendell> any formal timing, but the delay seems longer.
>
>I hope it's your imagination :-)
Apparently just my imagination, rebooting the computer speeded things up
noticibly.
Wendell Cropper
>
>JDH
>
>
University of Florida
School of Forest Resources and Conservation
214 Newins-Ziegler
PO Box 110410
Gainesville, FL 32611-0410
352-846-0859 phone
352-392-1707 fax
wcr...@uf...

Hi Matt,
Matt Newville wrote:
> Hi Werner,
> 
> I think what you may want is something like this:
> 
> def OnButton1Button(self, event):
> print 'done it'
> ### self.figure.clear()
> ### self.axes = self.figure.add_subplot(111)
> self.axes.cla() # <-- clear the axes
> t = arange(0.0,4.0,0.01)
> s = sin(2*pi*t)
> 
> self.axes.plot(t,s)
> self.axes.set_xlabel('Time 2 (s)')
> self.axes.set_ylabel('Price 2 ($)')
> self.canvas.draw() # <-- force a redraw
> 
> Is that OK? It works for me on Windows and Linux. I do the
> same thing for 'make a fresh plot' in my own codes that I know
> work OK on Mac OS X as well.
Yes, that works too.
So, I can do:
self.figure.clear()
...
self.canvas.Refresh()
or:
self.axes.cla()
...
self.canvas.draw()
or:
self.figure.clear()
...
self.canvas.draw()
Note that all of the above still have problems if I do:
 self.figure = Figure(frameon=False)
i.e. the "frameon=False" bit causes the figure/axes not to get totally 
cleared.
> 
> Cheers,
> 
> --Matt
> 
> 
See you
Werner

>>>>> "Wendell" == Wendell Cropper <wcr...@uf...> writes:
 Wendell> '''Hi, I use the following program in a simulation class
 Wendell> to demonstrate the niftyness of matplotlib. The
 Wendell> combination of Python, Numeric, and matplotlib really
 Wendell> makes a great set of tools for biologists who are largely
 Wendell> non-programmers these days. Thanks.
Great -- do you have class notes? I will be using the same
combination in a class I am teaching to biologists this fall and am
working on a manuscript with Fernando Perez, basically an introduction
to scientific computing in python.
 Wendell> I just did a big upgrade from 0.6-before pylab to
 Wendell> 0.80. This is the only tested program that didn't produce
 Wendell> the same results before and after:
 Wendell> Attached are matlab and pylab png files.
Take a look at the release notes at
http://matplotlib.sf.net/whats_new.html for release 0.72. We improved
the way we do multiscale axes and shared axis axes, and the interface
changed somewhat. See examples/shared_axis_demo.py,
examples/two_scales.py and examples/ganged_plots.py. The examples are
available in a zip file on the website.
 Wendell> Is there another way of doing this that gets back to the
 Wendell> original output?
Yes
 ax1 = subplot(111)
 t = arange(0.01, 10.0, 0.01)
 s1 = exp(t)
 plot(t, s1, 'b-')
 xlabel('time (s)')
 ylabel('exp')
 ax2 = twinx() ### <- this is the new way
 s2 = sin(2*pi*t)
 plot(t, s2, 'r.')
 ylabel('sin')
 Wendell> Also, is it just my imagination, or does 0.8 take longer
 Wendell> to display graphs than previous versions. I haven't done
 Wendell> any formal timing, but the delay seems longer.
I hope it's your imagination :-)
JDH

Hi,
I would like to produce histograms in N dimensions, the minimum being in 2D.
Here is an example of what I wish to do:
I have a set of P particles with x and y positions.
I have a rectangular grid, defined by e.g. a sampling in x and a 
sampling in y, (e.g. samp_x=arange(-15,31,1) ..), and I wish to know how 
many particles are in each "pixel".
I can do that in many different ways (using searchsorted from numarray, 
or abruptly using loops, etc) but I am now looking for a simple (fewer 
lines) and efficient way (as I am treating large sets of particles) to 
do this so that I would be able to use a function like:
histogram_2D(x,y, samp_x, samp_y) would return a matrix with the number 
of particles in each corresponding pixel.
and
showhistogram_2D(x,y, samp_x, samp_y) would display it
[using e.g. imshow or matshow]
Any hint there (I realize this is more a numarray question but I thought 
of first asking your community first since someone may have done it 
already)? And maybe also of how to generalize this in N dimensions? (for 
1D matplotlib has the hist function..)
 
Thanks!
Eric
-- 
===============================================================
Observatoire de Lyon ems...@ob...
9 av. Charles-Andre tel: +33 4 78 86 83 84
69561 Saint-Genis Laval Cedex fax: +33 4 78 86 83 86
France http://www-obs.univ-lyon1.fr/eric.emsellem
===============================================================

Jochen Voss wrote:
>Last I checked the PostScript backend used only PostScript level 2.
> 
>
What I really meant was that the PostScript file produced by MPL starts 
with '%!PS-Adobe-3.0', which I thought meant Postscript level 3. 
Changing the 3.0 to 2.0 by hand still doesn't allow it to print. dvips 
output files print fine on this printer, and they start with 
'%!PS-Adobe-2.0'.
>You could try to produce a standalone .ps file instead of an
>.eps file. Maybe this works better?
> 
>
Thanks for the suggestion, but I'm afraid this didn't help. The 
workaround I found was to do a dvipdf on the LaTeX file which included 
the MPL doc, read it with Acrobat Reader, and tell acroread to print it 
at Postscript level 1. Normally acroread can print at level 2 to this 
printer, but asking acroread to print at level 3 gets an error page from 
the printer telling you to use level 2.
Best,
Steve

'''Hi,
I use the following program in a simulation class to demonstrate the
niftyness of matplotlib. The combination of Python, Numeric, and matplotlib
really makes a great set of tools for biologists who are largely
non-programmers these days. Thanks. 
I just did a big upgrade from 0.6-before pylab to 0.80. This is the only
tested program that didn't produce the same results before and after:
Attached are matlab and pylab png files.
Is there another way of doing this that gets back to the original output?
Also, is it just my imagination, or does 0.8 take longer to display graphs
than previous versions. I haven't done any formal timing, but the delay
seems longer.
Thanks,
Wendell Cropper '''
from pylab import *
r = 0.1
g = 0.002
h = 0.0002
m = 0.2
def derivs(x, t):
 d1dt = r* x[0] - g * x[0] * x[1] # host
 d2dt = h * x[0] * x[1] - m * x[1] #parasite
 return (d1dt, d2dt)
dt = 0.01 #delta t
tim = arange(0.0, 125.0, dt)
x0 = (1500.0, 50.0) #initial numbers of host, parasite
xint = rk4(derivs, x0, tim) #Runge-Kutta 4th order numerical integration
#print xint[0]
#print xint[1]
host, parasite = [[x[0] for x in xint], [x[1] for x in xint]] #extract
variables
figure(1, [11.0, 11.0]) #size of window 
ax1 = subplot(211)
title('Host-Parasite using MatPlotLib')
L1 = plot(tim, host, 'b', linewidth=2)
plot ([0.0, 0.1], [500.0, 510.0], 'w') 
ax1.yaxis.tick_left()
ylabel('Host Numbers')
ax2 = subplot(211, frameon = False)
ax2.yaxis.tick_right()
text (145.0, 47.0, 'Parasite Numbers', rotation = 'vertical')
xlabel('time')
L2 = plot(tim, parasite, 'r--', linewidth=2)
plot ([0.0, 0.1], [90.0, 100.0], 'w')
legend((L1, L2), ('H', 'P'))
subplot(212)
plot(parasite, host, 'g')
axis([20.0, 100.0, 500.0, 1600.0]) #min x, max x, min y, max y
xlabel('Parasite Numbers')
ylabel('Host Numbers')
text (45.0, 1200.0, 'Phase Plane Plot', fontsize = 16)
show()

Hi Werner,
I think what you may want is something like this:
 def OnButton1Button(self, event):
 print 'done it'
 ### self.figure.clear()
 ### self.axes = self.figure.add_subplot(111)
 self.axes.cla() # <-- clear the axes
 t = arange(0.0,4.0,0.01)
 s = sin(2*pi*t)
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time 2 (s)')
 self.axes.set_ylabel('Price 2 ($)')
 self.canvas.draw() # <-- force a redraw
Is that OK? It works for me on Windows and Linux. I do the
same thing for 'make a fresh plot' in my own codes that I know
work OK on Mac OS X as well.
Cheers,
--Matt

#!/usr/bin/env python
"""
Show how to have wx draw a cursor over an axes that moves with the
mouse and reports the data coords
"""
from matplotlib.numerix import arange, sin, pi
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
import wx
class CanvasFrame(wx.Frame):
 def __init__(self):
 wx.Frame.__init__(self,None,-1,
 'CanvasFrame',size=(550,350))
 self.SetBackgroundColour(wx.NamedColor("WHITE"))
 self.figure = Figure(frameon=False)
 self.axes = self.figure.add_subplot(111)
 t = arange(0.0,3.0,0.01)
 s = sin(2*pi*t)
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time (s)')
 self.axes.set_ylabel('Price ($)')
 self.canvas = FigureCanvas(self, -1, self.figure)
 self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
 self.sizer =wx.BoxSizer(wx.VERTICAL)
 self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
 buttonId = wx.NewId()
 self.button1 = wx.Button(id=buttonId, label='Clear and do figure again',
 parent=self)
 self.button1.Bind(wx.EVT_BUTTON, self.OnButton1Button, id=buttonId)
 self.sizer.Add(self.button1, 0, wx.LEFT | wx.TOP)
 
 self.SetSizer(self.sizer)
 self.Fit()
 self.statusBar =wx.StatusBar(self, -1)
 self.statusBar.SetFieldsCount(1)
 self.SetStatusBar(self.statusBar)
 self.add_toolbar() # comment this out for no toolbar
 if wx.VERSION_STRING >= '2.5':
 self.Bind(wx.EVT_PAINT, self.OnPaint)
 else:
 wx.EVT_PAINT(self, self.OnPaint)
 
 self.cnt = 0
 def OnButton1Button(self, event):
 if self.cnt == 0:
 self.figure.clear()
 self.axes = self.figure.add_subplot(111)
 t = arange(0.0,4.0,0.01)
 s = sin(2*pi*t*(self.cnt+1))
 
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time 2 (s)')
 self.axes.set_ylabel('Price 2 ($)')
 
 if self.cnt == 2:
 self.figure.clear()
 self.axes = self.figure.add_subplot(111)
 t = arange(0.0,3.0,0.01)
 
 s = sin(2*pi*t*(self.cnt+1)) 
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time 3 (s)')
 self.axes.set_ylabel('Price 3 ($)')
 if self.cnt > 2:
 self.figure.clear()
 self.axes = self.figure.add_subplot(111)
 t = arange(0.0,2.0,0.01)
 
 s = sin(2*pi*t*(self.cnt+1)) 
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time 4 (s)')
 self.axes.set_ylabel('Price 4 ($)')
 
 self.cnt+=1
 self.canvas.Refresh()
 
 def mouse_move(self, event):
 self.draw_cursor(event)
 def add_toolbar(self):
 self.toolbar = NavigationToolbar2Wx(self.canvas)
 self.toolbar.Realize()
 tw, th = self.toolbar.GetSizeTuple()
 fw, fh = self.canvas.GetSizeTuple()
 self.toolbar.SetSize(wx.Size(fw, th))
 self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
 # update the axes menu on the toolbar
 self.toolbar.update()
 def OnPaint(self, event):
 self.erase_cursor()
 try: del self.lastInfo
 except AttributeError: pass
 self.canvas.draw()
 event.Skip()
 def draw_cursor(self, event):
 'event is a MplEvent. Draw a cursor over the axes'
 if event.inaxes is None:
 self.erase_cursor()
 try: del self.lastInfo
 except AttributeError: pass
 return
 canvas = self.canvas
 figheight = canvas.figure.bbox.height()
 ax = event.inaxes
 left,bottom,width,height = ax.bbox.get_bounds()
 bottom = figheight-bottom
 top = bottom - height
 right = left + width
 x, y = event.x, event.y
 y = figheight-y
 dc =wx.ClientDC(canvas)
 dc.SetLogicalFunction(wx.XOR)
 wbrush =wx.Brush(wx.Colour(255,255,255), wx.TRANSPARENT)
 wpen =wx.Pen(wx.Colour(200, 200, 200), 1, wx.SOLID)
 dc.SetBrush(wbrush)
 dc.SetPen(wpen)
 dc.ResetBoundingBox()
 dc.BeginDrawing()
 x, y, left, right, bottom, top = [int(val) for val in x, y, left, right, bottom, top]
 self.erase_cursor()
 line1 = (x, bottom, x, top)
 line2 = (left, y, right, y)
 self.lastInfo = line1, line2, ax, dc
 dc.DrawLine(*line1) # draw new
 dc.DrawLine(*line2) # draw new
 dc.EndDrawing()
 time, price = event.xdata, event.ydata
 self.statusBar.SetStatusText("Time=%f Price=%f"% (time, price), 0)
 def erase_cursor(self):
 try: lastline1, lastline2, lastax, lastdc = self.lastInfo
 except AttributeError: pass
 else:
 lastdc.DrawLine(*lastline1) # erase old
 lastdc.DrawLine(*lastline2) # erase old
class App(wx.App):
 def OnInit(self):
 'Create the main window and insert the custom frame'
 frame = CanvasFrame()
 frame.Show(True)
 return True
app = App(0)
app.MainLoop()

>>>>> "John" == John Hunter <jdh...@ac...> writes:
 John> matplotlib does cache some information, mainly text and font
 John> stuff) between draws which can cause memory to grow, but
 John> usually this is a small amount. I'll explore further.
I wrote a little GUI neutral script to expose the same functionality.
This helps test whether the problem is backend specific or not. If
you click anywhere in the axes, the sine wave updates.
I see the same effect: changing the sine wave frequency causes memory
usage to increase with each draw, but only for the first 50 or so
draws. This appears to be an agg thing, since I see it on GTKAgg,
TkAgg, WXAgg but not GTK or WX.
However, I don't believe it is a memory leak. Agg may be caching some
path or stroke information, because as I say the memory only seems to
increase when the path is changed. However, after 50 or so draws, the
increase stops, so it does not appear to be a memory leak. I often
see these kinds of effects when debugging memory leaks, and typically
discard the first 30-50 draws before assessing whether there is a leak
or not.
Here's the backend neutral script I am using, you can run it with
-dWXAgg, -dWX, -dGTKAgg etc to test various backends. Note that I
also explicitly clear the text cache with Text.cached = {}
JDH
#!/usr/bin/env python
import os, sys, time, gc
from matplotlib.text import Text
from pylab import *
def report_memory(i):
 pid = os.getpid()
 a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
 print i, ' ', a2[1],
 return int(a2[1].split()[1])
fig = figure()
ax = fig.add_subplot(111)
t = arange(0.0, 2.0, 0.01)
s = sin(2*pi*t)
ax.plot(t,s)
def click(event):
 fig.clear()
 s = sin(2*pi*t*(click.cnt+1))
 ax = fig.add_subplot(111)
 ax.plot(t,s)
 gc.collect()
 Text.cached = {}
 report_memory(click.cnt)
 fig.canvas.draw()
 click.cnt += 1
click.cnt = 1
 
#connect('motion_notify_event', report)
connect('button_press_event', click)
show()

>>>>> "Werner" == Werner F Bruhin <wer...@fr...> writes:
 Werner> Hi All, I put a small test case together based on
 Werner> wxcursor_demo. When clicking the button1 it should show a
 Werner> new plot, but it does not.
It does for me...
Do you mean a new plot window, or just redraw in the current figure?
You may not see that it has redrawn the figure unless you somehow
change the plot (ed pan/zoom). I modified your example so that each
time you redraw the frequency of the sine wave changes to make it more
apparent.
 Werner> I think my memory issue has to do with this as I created a
 Werner> new self.canvas each time, instead of doing a clear, but
 Werner> the big question is what do I need to call to show the new
 Werner> plot.
For one thing, add a gc.collect after you call clear to trigger the
garbage collector.
I added a memory report function and noticed something surprising. If
I just plotted the same sine wave over and over, memory usage was
flat. If I changed the sine wave frequency (still creating arrays of
the same size though) memory usage increased with each plot.
matplotlib does cache some information, mainly text and font stuff)
between draws which can cause memory to grow, but usually this is a
small amount. I'll explore further.
Here is my lightly modified version of your test script. The
report_memory function only works on unix like systems.
JDH
#!/usr/bin/env python
"""
Show how to have wx draw a cursor over an axes that moves with the
mouse and reports the data coords
"""
from matplotlib.numerix import arange, sin, pi
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
import wx
import os, sys, time, gc
def report_memory(i):
 pid = os.getpid()
 a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
 print i, ' ', a2[1],
 return int(a2[1].split()[1])
class CanvasFrame(wx.Frame):
 def __init__(self):
 wx.Frame.__init__(self,None,-1,
 'CanvasFrame',size=(550,350))
 self.SetBackgroundColour(wx.NamedColor("WHITE"))
 self.figure = Figure()
 self.axes = self.figure.add_subplot(111)
 t = arange(0.0,3.0,0.01)
 s = sin(2*pi*t)
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time (s)')
 self.axes.set_ylabel('Price ($)')
 self.canvas = FigureCanvas(self, -1, self.figure)
 self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
 self.sizer =wx.BoxSizer(wx.VERTICAL)
 self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
 buttonId = wx.NewId()
 self.button1 = wx.Button(id=buttonId, label='Clear and do figure again',
 parent=self)
 self.button1.Bind(wx.EVT_BUTTON, self.OnButton1Button, id=buttonId)
 self.sizer.Add(self.button1, 0, wx.LEFT | wx.TOP)
 
 self.SetSizer(self.sizer)
 self.Fit()
 self.statusBar =wx.StatusBar(self, -1)
 self.statusBar.SetFieldsCount(1)
 self.SetStatusBar(self.statusBar)
 self.add_toolbar() # comment this out for no toolbar
 if wx.VERSION_STRING >= '2.5':
 self.Bind(wx.EVT_PAINT, self.OnPaint)
 else:
 wx.EVT_PAINT(self, self.OnPaint)
 self.cnt = 0
 def OnButton1Button(self, event):
 print 'done it'
 self.figure.clear()
 self.axes = self.figure.add_subplot(111)
 t = arange(0.0,4.0,0.01)
 s = sin(2*pi*t*(self.cnt+1))
 #s = sin(2*pi*t)
 self.axes.plot(t,s)
 self.axes.set_xlabel('Time 2 (s)')
 self.axes.set_ylabel('Price 2 ($)')
 report_memory(self.cnt)
 self.cnt+=1
 gc.collect()
 def mouse_move(self, event):
 self.draw_cursor(event)
 def add_toolbar(self):
 self.toolbar = NavigationToolbar2Wx(self.canvas)
 self.toolbar.Realize()
 tw, th = self.toolbar.GetSizeTuple()
 fw, fh = self.canvas.GetSizeTuple()
 self.toolbar.SetSize(wx.Size(fw, th))
 self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
 # update the axes menu on the toolbar
 self.toolbar.update()
 def OnPaint(self, event):
 self.erase_cursor()
 try: del self.lastInfo
 except AttributeError: pass
 self.canvas.draw()
 event.Skip()
 def draw_cursor(self, event):
 'event is a MplEvent. Draw a cursor over the axes'
 if event.inaxes is None:
 self.erase_cursor()
 try: del self.lastInfo
 except AttributeError: pass
 return
 canvas = self.canvas
 figheight = canvas.figure.bbox.height()
 ax = event.inaxes
 left,bottom,width,height = ax.bbox.get_bounds()
 bottom = figheight-bottom
 top = bottom - height
 right = left + width
 x, y = event.x, event.y
 y = figheight-y
 dc =wx.ClientDC(canvas)
 dc.SetLogicalFunction(wx.XOR)
 wbrush =wx.Brush(wx.Colour(255,255,255), wx.TRANSPARENT)
 wpen =wx.Pen(wx.Colour(200, 200, 200), 1, wx.SOLID)
 dc.SetBrush(wbrush)
 dc.SetPen(wpen)
 dc.ResetBoundingBox()
 dc.BeginDrawing()
 x, y, left, right, bottom, top = [int(val) for val in x, y, left, right, bottom, top]
 self.erase_cursor()
 line1 = (x, bottom, x, top)
 line2 = (left, y, right, y)
 self.lastInfo = line1, line2, ax, dc
 dc.DrawLine(*line1) # draw new
 dc.DrawLine(*line2) # draw new
 dc.EndDrawing()
 time, price = event.xdata, event.ydata
 self.statusBar.SetStatusText("Time=%f Price=%f"% (time, price), 0)
 def erase_cursor(self):
 try: lastline1, lastline2, lastax, lastdc = self.lastInfo
 except AttributeError: pass
 else:
 lastdc.DrawLine(*lastline1) # erase old
 lastdc.DrawLine(*lastline2) # erase old
class App(wx.App):
 def OnInit(self):
 'Create the main window and insert the custom frame'
 frame = CanvasFrame()
 frame.Show(True)
 return True
app = App(0)
app.MainLoop()

O.k., so I have to decode all the texts, so that they get passed as 
"u'text' to matplotlib, i.e. something along these lines:
 textp = (_('Purchase - %s') % y).decode('iso-8859-1')
Note that in this example the word 'Purchase' gets translated using 
gettext and would return "Einkäufe".
See you
Werner
Werner F. Bruhin wrote:
> Hi All,
> 
> The legend lables etc I pass to matplotlib contain things like "äü" 
> (i.e. European character set) but they don't get displayed in the plots.
> 
> Is there something special one needs to do to support this?
> 
> Using wxPython 2.5.5.1 ANSI build (can't switch to Unicode just yet) on 
> Windows (XP, 2000).
> 
> See you
> Werner
> 
> 
> 
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Hi All,
I put a small test case together based on wxcursor_demo. When clicking 
the button1 it should show a new plot, but it does not.
I think my memory issue has to do with this as I created a new 
self.canvas each time, instead of doing a clear, but the big question is 
what do I need to call to show the new plot.
So, I am obviously missing something.
Any hints are appreciated.
See you
Werner
Werner F. Bruhin wrote:
> Hi All,
> 
> Doing multiple plots I see that memory usage grows and grows.
> 
> Before doing a new plot I do "self.figure.clear()", or 
> "self.figure.clf()", is there some other call I should use?
> 
> See you
> Werner
> 
> 
> 
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Hello Stephen,
On Thu, Apr 14, 2005 at 04:16:49PM -0700, Stephen Walton wrote:
> I can't seem to print EPS files generated from matplotlib on my printer,=
=20
> a Minolta Magicolor 2200. I think this is very specific to my setup but=
=20
> would be happy for suggestions. My initial guess is that MPL is=20
> generating Postscript Level 3 and my printer only supports Level 2, but=
=20
> I'm open to other ideas.
Last I checked the PostScript backend used only PostScript level 2.
You could try to produce a standalone .ps file instead of an
=2Eeps file. Maybe this works better?
All the best,
Jochen
--=20
http://seehuhn.de/

Hi Sascha,
I can't think of anything that has changed that would cause this. But if you 
could be a little more specific about the conditions causing the behavior, 
I'll look into it. Posting a short script that reproduces the problem would 
be helpful.
Thanks,
Darren
On Friday 15 April 2005 5:32 am, Sascha Schnepp wrote:
> Hi,
>
> I realized a change in the behavior of the eps export with the release 0.8.
> Sometimes (not always!) the bounding box on the left side is very close to
> the ylabel. When converting this to a pdf and printing it, this results in
> a (partially or even totally) cutted ylabel on your printout...
>
> Greetings,
> Sascha
>
>
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
Darren S. Dale
Bard Hall
Department of Materials Science and Engineering
Cornell University
Ithaca, NY. 14850
dd...@co...

Hi,
I realized a change in the behavior of the eps export with the release 0.=
8. Sometimes (not always!) the bounding box on the left side is very clos=
e to the ylabel. When converting this to a pdf and printing it, this resu=
lts in a (partially or even totally) cutted ylabel on your printout...
Greetings,
Sascha

Hello all,
> Yes, this is Numeric/numarray slicing, not list slicing. When you get
> some time, you should read the pdf Numeric or numarray documentation.
> It's comprehensive and very good.
Thanks for all the answers. I'm now looking at the numarray/numeric
documentation as suggested.
Good day, and thanks again.
 Olivier
--=20
 . __ . ___ __. | Olivier Bornet Oli...@id...
 / / ` / / / / / | IDIAP http://www.idiap.ch/~bornet/
 / / / / /--/ /--' | CP 592 http://www.idiap.ch/~bornet/pgp/
/ /__.' / / / / | CH-1920 Martigny PGP-key: 0xC53D9218

>>>>> "Olive" == Olive <enc...@ya...> writes:
 Olive> Hello, I've juste downloaded the last version (0.8) of
 Olive> matplotlib and successfully built it on SunOS 5.8 with GTK
 Olive> backend (gcc 3.2.2). "import matplolib" is OK but typing
 Olive> "from matplotlib.pylab import *" result in a core dumped !
 Olive> without any error message or exception... "import gtk",
 Olive> "import pygtk", and "import wx" works OK.
 Olive> I've tried with version 0.72, same error :
I don't have a lot of good advice for you, but here is how I would go
about debugging the problem. You can recompile mpl in verbose mode.
rm -rf "site-packages/matplotlib" and your "build" subdir and edit
setup.py and set VERBOSE=True and recompile/reinstall.
This can sometimes provide information about which extension code
function is failing.
You also want to create a test script that replicates the problem (in
your case it's a one-liner that simply imports matplotlib.pylab) and
run it with the --verbose-debug flag
 > python myscript.py --verbose-debug
This prints maximal debug info which can provide helpful information
to narrow down the possible culprits.
 Olive> Python 2.4.1 (#3, Apr 14 2005, 10:58:02) [GCC 3.2.2] on
 Olive> sunos5 Type "help", "copyright", "credits" or "license" for
 Olive> more information.
 >>>> from matplotlib.pylab import *
 Olive> Bus Error (core dumped)
The old-fashioned but effective way to triangulate this kind of
segfault is to put a lot of print statements into the module that is
segfaulting (in this case site-packages/matplotlib/pylab.py). Space
these print statements every 50 lines or so
 print 'debug 1'
 ...50 lines of pylab...
 print 'debug 2'
 ...50 lines of pylab...
 print 'debug 3'
When you have narrowed the segfault to be between two numbers, say 2
and 3, add more statements between them, maybe with a delimiter such
as TAB '\t'
 print '\t debug 2a'
 ...5 lines of pylab...
 print '\t debug 2b'
 ...5 lines of pylab...
 print '\t debug 2c'
 ...5 lines of pylab...
and repeat as necessary with a finer grain until you find the actual
line causing the segfault. Posting this info will go a long way to
actually discovering the bug.
I call this "poor man's debugging" or "manual binary search" and it's
primitive, ugly, and highly effective.
 Olive> One more thing is that after importing matplotlib, I got an
 Olive> error when using help :
Don't know if this is related or not...
JDH

>>>>> "Joe" == Joe Wu <jw...@sd...> writes:
 Joe> Sorry if this question has been asked before: Has anyone
 Joe> written a locator class which acts like the AutoLocator but
 Joe> picks the best DateLocator based on current time span?
 Joe> For date plots, zooming in/out can yield no tick marks or too
 Joe> many tick marks, and I think using such a class can solve
 Joe> this problem. Any suggestion for other approach?
Take a look at Axes.plot_date. It inspects the date range and tries
to pick a good locator and formatter. You could wrap this
functionality into an AutoDateLocator, following the model of
AutoLocator.
There is a slight wrinkle here in that you want an AutoDateFormatter
as well, but this shouldn't be any harder. Again you can reuse the
logic of plot_date to pick the right format string dynamically.
If you succeed, please send it my way and I'll use it in plot_date.
JDH