matplotlib-users Mailing List for matplotlib (Page 7)

>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> I have a main routine that calls a subroutine twice. In the
 danny> subroutine, a plot is drawn. If the active figure is the
 danny> same, both plots are shown at the same time in the same
 danny> figure. The problem is that both plots have legends, and it
 danny> appears as if a figure can only have one legend, so one of
 danny> the legends is overwritten (the first). The question is,
 danny> what is the best way to get the legends to be appended so
 danny> that all graph lines have legends.
I don't really understand what your problem is, but I have a few
comments.
For "figure legends" you want to use the figlegend command, as opposed
to axes legends which use the legend command. You can have an
arbitrary number of figure legends on the same figure.
However, there is a bug in the figure legend code in matplotlib-0.54.2
that Jim Benson discovered. In matplotlib/figure.py, you need to
replace the line that reads
 l = Legend(handles, labels, loc)
with
 l = Legend(self, handles, labels, loc)
If you have more troubles, please post some code as that might help me
understand what you are trying to do.
JDH
		
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>>>>> "Jim" == Jim Benson <jb...@se...> writes:
 Jim> Any more hints?
Make that
 l = Legend(self, handles, labels, loc)
Should work - let me know if you have any more troubles.
JDH

I have a main routine that calls a subroutine twice. In the subroutine,
a plot is drawn. If the active figure is the same, both plots are shown
at the same time in the same figure. The problem is that both plots
have legends, and it appears as if a figure can only have one legend,
so one of the legends is overwritten (the first). The question is, what
is the best way to get the legends to be appended so that all graph
lines have legends.
Thanks,
Danny
		
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>-----Original Message-----
>From: mat...@li...
>[mailto:mat...@li...]On Behalf Of John
>Hunter
> [...]
>For independent reasons, I already did away with numeric limits in
>_transforms.cpp a couple of weeks ago and these changes are in CVS.
>If one of you would be willing to try and compile CVS against gcc
>2.95.2, I would be interested to hear how it works,
I just checked out CVS: _transforms.cpp compiles fine. There were only =
2 other minor things. In _backend_agg.cpp, line 880 has a typo:
<<< if (origin!=3D"lower" and origin!=3D"upper")
>>> if (origin!=3D"lower" && origin!=3D"upper")
Also, for FreeBSD, in setupext.py you need an additional entry in the =
basedir dict like:
 'darwin' : [os.getenv('MPLIB_BASE') or '/usr/local', '/usr', '/sw'],
+ 'freebsd4' : [os.getenv('MBLIB_BASE') or '/usr/local', '/usr'],
 'sunos5' : [os.getenv('MPLIB_BASE') or '/usr/local',],
Trevor

>>>>> "Sebastian" == Sebastian Haase <ha...@ms...> writes:
 Sebastian> and didn't have any problem. I running debian, where
 Sebastian> 2.95 is still the "standard". Maybe this could be
 Sebastian> changed in CVS - just for one more year or so ;-)
For independent reasons, I already did away with numeric limits in
_transforms.cpp a couple of weeks ago and these changes are in CVS.
If one of you would be willing to try and compile CVS against gcc
2.95.2, I would be interested to hear how it works, and will be happy
to make any required changes.
Thanks,
JDH

I just released numarray-1.0 and wanted to give you a heads up in case
you miss it in the release notes: numarray-1.0 needs a new windows
binary for matplotlib which is now up on source forge here:
http://prdownloads.sourceforge.net/matplotlib/matplotlib-0.54.2-numarray1.0.win32-py2.3.exe?download
Likewise, UNIX and Mac users that want to use numarray-1.0 need to
reinstall matplotlib (make sure you delete the matplotlib build
directory).
I attached the numarray-1.0 release notes in case you're interested...
Regards,
Todd

>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> another newbie question. BTW I am learning where to find
 danny> documentation. Most of this stuff isn't in the
 danny> documentation per se, but in the class library, but please
 danny> bare with me.
One place to look is http://matplotlib.sf.net/matlab_interface.html
and the help for the plotting commands listed there. If this case,
you want to see the help for the figure command:
 figure(num = 1, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
 Create a new figure and return a handle to it
 If figure(num) already exists, make it active and return the
 handle to it.
 figure(1)
 figsize - width in height x inches; defaults to rc figure.figsize
 dpi - resolution; defaults to rc figure.dpi
 facecolor - the background color; defaults to rc figure.facecolor
 edgecolor - the border color; defaults to rc figure.edgecolor
One day, hopefully in the not too distant future, I'll have a user's
guide.
JDH
 danny> I am aving big troubles setting figure sizes.
 danny> In a plot command. I have tried plot(...,figsize=(6,8)) and
 danny> plot(...,figsize_inches=(6,8) set(gcf(),'figsize',(6,8))
 danny> set(gcf(),'figsize_inches',(6,8))
 danny> none work for me. OK I'm stumped, what's the right way.
 danny> thanks, Danny
		
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 danny> -------------------------------------------------------
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 danny> Training. Attend Black Hat Briefings & Training, Las Vegas
 danny> July 24-29 - digital self defense, top technical experts,
 danny> no vendor pitches, unmatched networking
 danny> opportunities. Visit www.blackhat.com
 danny> _______________________________________________
 danny> Matplotlib-users mailing list
 danny> Mat...@li...
 danny> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

>-----Original Message-----
>From: mat...@li...
>[mailto:mat...@li...]On Behalf Of
>Sebastian Haase
>[...]
>Hi Trevor,
>I just substituted like this
>
> if (ignore) {
> minx =3D 1e+308; //orig: std::numeric_limits<double>::max();
> maxx =3D 1e-308; //orig: std::numeric_limits<double>::min();
> }
>
>and didn't have any problem.=20
Thanks - looking at that snippet made me realize I was switched around - =
I was setting minx =3D DBL_MIN and maxx =3D DBL_MAX.
With that fixed, it works fine. =20
I agree this might be a good thing to change in CVS, since this is the =
only thing tripping up a clean compile with gcc 2.95.
Trevor

On Friday 02 July 2004 01:23 pm, Trevor Perrin wrote:
> Hi,
>
> I'm trying to compile matplotlib-0.54.2 on FreeBSD 4.8, using gcc-2.95.3.
>
> In _transforms.cpp, std::numeric_limits<double>::max() and ::min() aren't
> present, so I've tried replacing them with #include<float.h>, DBL_MIN and
> DBL_MAX.
>
> However, now an error is being raised in ticker.py:get_locator(), line 638:
>
> try: ld = math.log10(d)
> except OverflowError:
> print >> sys.stderr, 'AutoLocator illegal dataInterval
> range %s; returning NullLocator'%d return NullLocator()
>
>
> I.e., the OverflowError is occurring. I'm assuming this is cause of the
> change I made; I can run the same test script under Windows with no
> problems (but the test script is a little too involved for me to paste
> here).
>
> Does anyone have ideas on a better workaround?
>
>
> Trevor
Hi Trevor,
I just substituted like this
 if (ignore) {
 minx = 1e+308; //orig: std::numeric_limits<double>::max();
 maxx = 1e-308; //orig: std::numeric_limits<double>::min();
 }
and didn't have any problem. 
I running debian, where 2.95 is still the "standard". Maybe this could be 
changed in CVS - just for one more year or so ;-)
Cheers,
Sebastian Haase

Hi,
I'm trying to compile matplotlib-0.54.2 on FreeBSD 4.8, using =
gcc-2.95.3. =20
In _transforms.cpp, std::numeric_limits<double>::max() and ::min() =
aren't present, so I've tried replacing them with #include<float.h>, =
DBL_MIN and DBL_MAX.
However, now an error is being raised in ticker.py:get_locator(), line =
638:
 try: ld =3D math.log10(d)
 except OverflowError:
 print >> sys.stderr, 'AutoLocator illegal dataInterval =
range %s; returning NullLocator'%d
 return NullLocator()
I.e., the OverflowError is occurring. I'm assuming this is cause of the =
change I made; I can run the same test script under Windows with no =
problems (but the test script is a little too involved for me to paste =
here).
Does anyone have ideas on a better workaround?
Trevor

another newbie question. BTW I am learning where to find documentation.
Most of this stuff isn't in the documentation per se, but in the class
library, but please bare with me. 
I am aving big troubles setting figure sizes.
In a plot command. I have tried
plot(...,figsize=(6,8)) and
plot(...,figsize_inches=(6,8)
set(gcf(),'figsize',(6,8))
set(gcf(),'figsize_inches',(6,8))
none work for me. OK I'm stumped, what's the right way.
thanks,
Danny
		
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>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> newbie question alert. Is there a way to thicken the
 danny> plotlines on a plot? I'm currently using fmt='k^-' and am
 danny> trying to make transparencies. I want the plotlines to show
 danny> up better. Any way to do this?
Hi Danny,
You may want to take a look at
http://matplotlib.sf.net/tutorial.html#lineprops which shows several
ways of setting linewidths and other line properties. In addition to
the way Gary showed, you can also use keyword arguments
plot(x ,y, linewidth=2.0)
The default linewidth is controlled by the lines.linewidth property in
your matplotlibrc file -- see http://matplotlib.sf.net/.matplotlibrc.
JDH

Here's a snippet done on errorbars which should point you in the right direction:
l1,e1=errorbar(m, t, [tN, tP], fmt='rD-', ecolor=(.5,.5,.5), capsize=3)
set(e1,"linewidth",1,"markeredgewidth",1)
set(l1,"linewidth",2,"markersize",5,"markerfacecolor",'k',"markeredgecolor",'k')
----- Original Message -----
From: danny shevitz <dan...@ya...>
Date: Thu, 1 Jul 2004 10:05:55 -0700 (PDT)
To: matplotlib <mat...@li...>
Subject: [Matplotlib-users] thickening plotlines
> newbie question alert.
> 
> Is there a way to thicken the plotlines on a plot? I'm currently using
> fmt='k^-' and am trying to make transparencies. I want the plotlines to
> show up better. Any way to do this?
> 
> TIA,
> Danny
> unmatched networking opportunities. Visit www.blackhat.com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
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Hi John,
 Today i finally got around to trying a suggestion 
that you made on May 22...on how to put a legend on a Figure
(outside of the axis). So i hacked up the example 
legendDemo.py to experiment with:
# Haked up legendDemp.py
# Thanks to Charles Twardy for this example
from matplotlib.matlab import *
a = arange(0,3,.02)
b = arange(0,3,.02)
c=exp(a)
d=c.tolist()
d.reverse()
d = array(d)
ax = subplot(111)
lines = plot(a,c,'k--',a,d,'k:',a,c+d,'k')
#legend(('Model length', 'Data length', 'Total message length'), 'upper 
left')
fig = gcf()
line1 = lines[0]
line2 = lines[1]
line3 = lines[2]
fig.legend((line1, line2, line3),
 ('Model length', 'Data length', 'Total message length'),
 'upper left')
ax.set_ylim([-1,20])
ax.grid(0)
xlabel('Model complexity --->')
ylabel('Message length --->')
title('Minimum Message Length')
set(gca(), 'yticklabels', [])
set(gca(), 'xticklabels', [])
savefig('legend_demo_small', dpi=60)
savefig('legend_demo_large', dpi=120)
show()
# End of: Haked up legendDemp.py
I then go the following error:
clavius:/home/jbenson/python>python legendDemo.py
Traceback (most recent call last):
 File "legendDemo.py", line 22, in ?
 'upper left')
 File "/usr/local/lib/python2.3/site-packages/matplotlib/figure.py", line 
179, in legend
 l = Legend(handles, labels, loc)
TypeError: __init__() takes exactly 5 arguments (4 given)
clavius:/home/jbenson/python>
Should that line 179 in figure.py be:
 l = Legend(self, handles, labels, loc) # -added ->self<- ?
Just for fun, i tried that change and re-ran:
clavius:/home/jbenson/python>python legendDemo.py
Traceback (most recent call last):
 File "legendDemo.py", line 22, in ?
 'upper left')
 File "/usr/local/lib/python2.3/site-packages/matplotlib/figure.py", line 
179, in legend
 l = Legend(self, handles, labels, loc)
 File "/usr/local/lib/python2.3/site-packages/matplotlib/legend.py", line 
107, in __init__
 self._texts = self._get_texts(labels, textleft, upper)
 File "/usr/local/lib/python2.3/site-packages/matplotlib/legend.py", line 
215, in _get_texts
 HEIGHT = self._approx_text_height()
 File "/usr/local/lib/python2.3/site-packages/matplotlib/legend.py", line 
126, in _approx_text_height
 return 
self.FONTSIZE/72.0*self.figure.dpi.get()/self.parent.bbox.height()
AttributeError: 'NoneType' object has no attribute 'dpi'
clavius:/home/jbenson/python>
...so those errors look worse.
(i'm using matplotlib-0.54.2)
Any more hints?
Thanks,
Jim 

newbie question alert.
Is there a way to thicken the plotlines on a plot? I'm currently using
fmt='k^-' and am trying to make transparencies. I want the plotlines to
show up better. Any way to do this?
TIA,
Danny
		
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>>>>> "John" == John Hunter <jdh...@ac...> writes:
 John> Haven't had a chance to test your example yet but hopefully
 John> I can take a look tomorrow. I haven't done much memory leak
 John> testing against the _image module yet so this will be a good
 John> opportunity. I very recently rewrote _image.cpp using cxx.
 John> I trust you have a fresh CVS checkout?
Hi Andrew - found and fixed the memory leak. Can't really call it a
leak - more like a "memory gusher". This was in the agg (and image)
module "to string" methods. In my tests, the leak went from 600k per
frame to approx 600 bytes per frame, which is on par for what I see in
other agg memory leak tests.
I made a number of comments in your example to point out places where
you probably should be using matplotlib a little differently - most of
these I flagged with my initials so you can search for them. Modified
script is below. 
After you get the script in the final form you want and purge the
comments and memory reporting stuff where appropriate, please add it
to CVS.
I liked the example so much I made an analogous one dynamic_image_gtk.
It's faster than wxagg (13FPS vs 4FPS on my system) which is not
surprising since gtkagg has extension code to transfer agg to the GUI
canvas, and doesn't flicker. Very nice! I would really like to get
that wxagg flicker problem figured out, and the extension code
added... Did I hear you volunteering to be the wxagg maintainer :-)?
#!/usr/bin/env python
"""
Copyright (C) 2003-2004 Jeremy O'Donoghue and others
 
License: This work is licensed under the PSF. A copy should be included
with this source code, and is also available at
http://www.python.org/psf/license.html
"""
import sys, time, os, gc
import matplotlib
matplotlib.use('WXAgg')
# jdh: you need to control Numeric vs numarray with numerix, otherwise
# matplotlib may be using numeric under the hood and while you are
# using numarray and this isn't efficient. Also, if you use
# numerix=numarray, it is important to compile matplotlib for numarray
# by setting NUMERIX = 'numarray' in setup.py before building
from matplotlib import rcParams
rcParams['numerix'] = 'numarray'
# jdh: you can import cm directly, you don't need to go via
# matplotlib.matlab
import matplotlib.cm as cm
from matplotlib.backends.backend_wxagg import Toolbar, FigureCanvasWxAgg
# jdh: you don't need a figure manager in the GUI - this class was
# designed for the matlab interface
from matplotlib.figure import Figure
import matplotlib.numerix as numerix
from wxPython.wx import *
TIMER_ID = wxNewId()
# jdh: use this function, or something similar, when reporting a
# memory leak
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()[0])
class PlotFigure(wxFrame):
 def __init__(self):
 wxFrame.__init__(self, None, -1, "Test embedded wxFigure")
 self.fig = Figure((5,4), 75)
 self.canvas = FigureCanvasWxAgg(self, -1, self.fig)
 self.toolbar = Toolbar(self.canvas)
 self.toolbar.Realize()
 # On Windows, default frame size behaviour is incorrect
 # you don't need this under Linux
 tw, th = self.toolbar.GetSizeTuple()
 fw, fh = self.canvas.GetSizeTuple()
 self.toolbar.SetSize(wxSize(fw, th))
 # Create a figure manager to manage things
 # Now put all into a sizer
 sizer = wxBoxSizer(wxVERTICAL)
 # This way of adding to sizer allows resizing
 sizer.Add(self.canvas, 1, wxLEFT|wxTOP|wxGROW)
 # Best to allow the toolbar to resize!
 sizer.Add(self.toolbar, 0, wxGROW)
 self.SetSizer(sizer)
 self.Fit()
 EVT_TIMER(self, TIMER_ID, self.onTimer)
 self.cnt = 0
 def init_plot_data(self):
 # jdh you can add a subplot directly from the fig rather than
 # the fig manager
 a = self.fig.add_subplot(111)
 self.x = numerix.arange(120.0)*2*numerix.pi/120.0
 self.x.resize((100,120))
 self.y = numerix.arange(100.0)*2*numerix.pi/100.0
 self.y.resize((120,100))
 self.y = numerix.transpose(self.y)
 z = numerix.sin(self.x) + numerix.cos(self.y)
 self.im = a.imshow( z, cmap=cm.jet)#, interpolation='nearest')
 def GetToolBar(self):
 # You will need to override GetToolBar if you are using an 
 # unmanaged toolbar in your frame
 return self.toolbar
		
 def onTimer(self, evt):
 self.x += numerix.pi/15
 self.y += numerix.pi/20
 z = numerix.sin(self.x) + numerix.cos(self.y)
 self.im.set_array(z)
 self.canvas.draw()
 #self.canvas.gui_repaint() # jdh wxagg_draw calls this already
 val = report_memory(self.cnt)
 if self.cnt==1:
 self.start = val # skip cnt=0
 self.tstart = time.time()
 elif self.cnt==50:
 end = val
 print 'Average memory consumed per loop: %1.4f\n' % ((end-self.start)/float(self.cnt))
 print 'FPS', self.cnt/(time.time() - self.tstart)
 sys.exit()
 
 self.cnt += 1
 gc.collect()
 
 def onEraseBackground(self, evt):
 # this is supposed to prevent redraw flicker on some X servers...
 pass
 
if __name__ == '__main__':
 app = wxPySimpleApp()
 frame = PlotFigure()
 frame.init_plot_data()
 
 # Initialise the timer - wxPython requires this to be connected to the
 # receivicng event handler
 t = wxTimer(frame, TIMER_ID)
 t.Start(200)
 
 frame.Show()
 app.MainLoop()