matplotlib-users Mailing List for matplotlib (Page 10)

Hey Charlie thanks for the info.

I went ahead and installed Active Tcl
I removed microsft visual studio 2003 .net from my computer because I never
used it, and I did not want it on here in the first place but i had it on
here from being an intern over the summer.
C:\matplotlib\trunk\matplotlib>c:\Python24\python.exe setup.py install
GTK requires pygtk
building tkagg 2 4
        Building for python24
GTKAgg requires pygtk
running install
running build
running build_py
running build_ext
No module named msvccompiler in numpy.distutils, trying from distutils..
building 'matplotlib.backends._tkagg' extension
C:\Program Files\Microsoft Visual Studio .NET 2003\Vc7\bin\cl.exe /c /nologo
/Ox
 /MD /W3 /GX
/DNDEBUG -Iwin32_static/include/tcl84 -I. -Isrc -Iswig -Iagg23/incl
ude -I. -I. -Iwin32_static/include/tcl84\freetype2 -I.\freetype2
-Isrc\freetype2
 -Iswig\freetype2 -Iagg23/include\freetype2 -I.\freetype2 -I.\freetype2
-Ic:\Pyt
hon24\include -Ic:\Python24\PC /Tpsrc/_tkagg.cpp
/Fobuild\temp.win32-2.4\Release
\src/_tkagg.obj
_tkagg.cpp
src\_tkagg.cpp(28) : fatal error C1083: Cannot open include file: 'tk.h': No
suc
h file or directory
error: Command ""C:\Program Files\Microsoft Visual Studio .NET
2003\Vc7\bin\cl.e
xe" /c /nologo /Ox /MD /W3 /GX
/DNDEBUG -Iwin32_static/include/tcl84 -I. -Isrc -
Iswig -Iagg23/include -I. -I. -Iwin32_static/include/tcl84\freetype2
-I.\freetyp
e2 -Isrc\freetype2 -Iswig\freetype2 -Iagg23/include\freetype2 -I.\freetype2
-I.\
freetype2 -Ic:\Python24\include -Ic:\Python24\PC /Tpsrc/_tkagg.cpp
/Fobuild\temp
.win32-2.4\Release\src/_tkagg.obj" failed with exit status 2

This is the error i got after my first try at

python setup.py install

after it did not work is when i uninstalled .net 2003.  and i recieve this
error currently.
C:\matplotlib\trunk\matplotlib>c:\Python24\python.exe setup.py install
GTK requires pygtk
building tkagg 2 4
        Building for python24
GTKAgg requires pygtk
running install
running build
running build_py
running build_ext
No module named msvccompiler in numpy.distutils, trying from distutils..
error: The .NET Framework SDK needs to be installed before building
extensions f
or Python.

Has anyone seen this one?  I would not be so persistent as to trying to
install the current SVN except that I need one of the algorithms in numpy
version 1.0b2 and above.
I am also going to post this on the numpy mailing list because it says the
error is in numpy.distutils.

>
> You need to install the tcl/tk headers as Darren mentioned.  I just
> install ActiveTcl and the build should pick up on it no problem.
>

Davidlohr Bueso A. wrote:
> Hi,
> 
> I am having trouble graphing constant functions in matplotlib (a simple
> y = 2). Here is a simple test script I'm using:
> 
> from pylab import *
> 
> def f(x):
>         return 2


Try     return 2*ones(shape(x))

The problem is that you are returning a scalar, not an array the same 
size as x; mpl plots arrays, not scalars.

Eric

Use this to plot it:
plot([x], [f(x)])    you need the square brackets.

-Matt

--- "Davidlohr Bueso A." <db...@li...> wrote:

> Hi,
> 
> I am having trouble graphing constant functions in
> matplotlib (a simple
> y = 2). Here is a simple test script I'm using:
> 
> from pylab import *
> 
> def f(x):
>         return 2
> 
> x = arange(1, 4)
> 
> plot(x, f(x))
> show()
> 
> When I run it, I get this error:
> 
> Traceback (most recent call last):
>   File "test", line 8, in ?
>     plot(x, f(x))
>   File
>
"/usr/lib/python2.4/site-packages/matplotlib/pylab.py",
> line
> 2019, in plot
>     ret =  gca().plot(*args, **kwargs)
>   File
>
"/usr/lib/python2.4/site-packages/matplotlib/axes.py",
> line 2106,
> in plot
>     for line in self._get_lines(*args, **d):
>   File
>
"/usr/lib/python2.4/site-packages/matplotlib/axes.py",
> line 304,
> in _grab_next_args
>     yield self._plot_2_args(remaining, **kwargs)
>   File
>
"/usr/lib/python2.4/site-packages/matplotlib/axes.py",
> line 253,
> in _plot_2_args
>     assert(iterable(y))
> AssertionError
> 
> 
> Could anyone tell me what I'm doing wrong (I'm new
> to matplotlib btw)?
> 
> Thanks!
> 
>
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https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 


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Hi,

I am having trouble graphing constant functions in matplotlib (a simple
y = 2). Here is a simple test script I'm using:

from pylab import *

def f(x):
        return 2

x = arange(1, 4)

plot(x, f(x))
show()

When I run it, I get this error:

Traceback (most recent call last):
  File "test", line 8, in ?
    plot(x, f(x))
  File "/usr/lib/python2.4/site-packages/matplotlib/pylab.py", line
2019, in plot
    ret =  gca().plot(*args, **kwargs)
  File "/usr/lib/python2.4/site-packages/matplotlib/axes.py", line 2106,
in plot
    for line in self._get_lines(*args, **d):
  File "/usr/lib/python2.4/site-packages/matplotlib/axes.py", line 304,
in _grab_next_args
    yield self._plot_2_args(remaining, **kwargs)
  File "/usr/lib/python2.4/site-packages/matplotlib/axes.py", line 253,
in _plot_2_args
    assert(iterable(y))
AssertionError


Could anyone tell me what I'm doing wrong (I'm new to matplotlib btw)?

Thanks!

I had a quick question about the pylab package.  When
I use the plot function the first time, it works
great.  However, upon closing the window and plotting
a second figure, I immediately get a microsoft visual
c++ runtime error when trying to close or move this
figure.
If I plot one figure, and attempt to plot a second
figure, the whole program crashes.  Also, I am working
in pythonwin.

Thanks in advance,
Matt

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Minor rev bump for numpy 1.0b5 compatibility.  This release should
remain compatible with future 1.0 releases of numpy.

http://cheeseshop.python.org/pypi/matplotlib/
http://sourceforge.net/project/showfiles.php?group_id=80706&package_id=82474

===============================================================
2006-09-05 Released 0.87.5 at revision 2761

2006-09-04 Added nxutils for some numeric add-on extension code --
		   specifically a better/more efficient inside polygon tester (see
		   unit/inside_poly_*.py) - JDH

2006-09-04 Made bitstream fonts the rc default - JDH

2006-08-31 Fixed alpha-handling bug in ColorConverter, affecting
           collections in general and contour/contourf in
           particular. - EF

2006-08-30 ft2font.cpp: Added draw_rect_filled method (now used by mathtext2
           to draw the fraction bar) to FT2Font - ES

2006-08-29 setupext.py: wrap calls to tk.getvar() with str(). On some
           systems, getvar returns a Tcl_Obj instead of a string - DSD

2006-08-28 mathtext2.py: Sub/superscripts can now be complex (i.e.
           fractions etc.). The demo is also updated - ES

2006-08-28 font_manager.py: Added /usr/local/share/fonts to list of
           X11 font directories - DSD

2006-08-28 mahtext2.py: Initial support for complex fractions. Also,
           rendering is now completely separated from parsing. The
           sub/superscripts now work better.
           Updated the mathtext2_demo.py - ES

2006-08-27 qt backends: don't create a QApplication when backend is
           imported, do it when the FigureCanvasQt is created. Simplifies
           applications where mpl is embedded in qt. Updated
           embedding_in_qt* examples - DSD

2006-08-27 mahtext2.py: Now the fonts are searched in the OS font dir and
           in the mpl-data dir. Also env is not a dict anymore. - ES

2006-08-26 minor changes to __init__.py, mathtex2_demo.py. Added matplotlibrc
           key "mathtext.mathtext2" (removed the key "mathtext2") - ES

2006-08-21 mathtext2.py: Initial support for fractions
           Updated the mathtext2_demo.py
           _mathtext_data.py: removed "\" from the unicode dicts
           mathtext.py: Minor modification (because of _mathtext_data.py)- ES

2006-08-20 Added mathtext2.py: Replacement for mathtext.py. Supports _ ^,
           \rm, \cal etc., \sin, \cos etc., unicode, recursive nestings,
           inline math mode. The only backend currently supported is Agg
           __init__.py: added new rc params for mathtext2
           added mathtext2_demo.py example - ES

2006-08-19 Added embedding_in_qt4.py example - DSD

2006-08-11 Added scale free Ellipse patch for Agg - CM

2006-08-10 Added converters to and from julian dates to matplotlib.dates
           (num2julian and julian2num) - JDH

2006-08-08 Fixed widget locking so multiple widgets could share the
           event handling - JDH

2006-08-07 Added scale free Ellipse patch to SVG and PS - CM

2006-08-05 Re-organized imports in numerix for numpy 1.0b2 -- TEO

2006-08-04 Added draw_markers to PDF backend. - JKS

2006-08-01 Fixed a bug in postscript's rendering of dashed lines - DSD

2006-08-01 figure.py: savefig() update docstring to add support for 'format'
           argument.
           backend_cairo.py: print_figure() add support 'format' argument. - SC

2006-07-31 Don't let postscript's xpdf distiller compress images - DSD

2006-07-31 Added shallowcopy() methods to all Transformations;
           removed copy_bbox_transform and copy_bbox_transform_shallow
           from transforms.py;
           added offset_copy() function to transforms.py to
           facilitate positioning artists with offsets.
           See examples/transoffset.py. - EF

2006-07-31 Don't let postscript's xpdf distiller compress images - DSD

2006-07-29 Fixed numerix polygon bug reported by Nick Fotopoulos.
           Added inverse_numerix_xy() transform method.
           Made autoscale_view() preserve axis direction
           (e.g., increasing down).- EF

2006-07-28 Added shallow bbox copy routine for transforms -- mainly
           useful for copying transforms to apply offset to. - JDH

2006-07-28 Added resize method to FigureManager class
           for Qt and Gtk backend - CM

2006-07-28 Added subplots_adjust button to Qt backend - CM

2006-07-26 Use numerix more in collections.
           Quiver now handles masked arrays. - EF

2006-07-22 Fixed bug #1209354 - DSD

2006-07-22 make scatter() work with the kwarg "color". Closes bug
           1285750 - DSD

2006-07-20 backend_cairo.py: require pycairo 1.2.0.
           print_figure() update to output SVG using cairo.

2006-07-19 Added blitting for Qt4Agg - CM

2006-07-19 Added lasso widget and example examples/lasso_demo.py - JDH

2006-07-18 Added blitting for QtAgg backend - CM

2006-07-17 Fixed bug #1523585: skip nans in semilog plots - DSD

2006-07-12 Add support to render the scientific notation label
           over the right-side y-axis - DSD

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
  <meta content="text/html;charset=ISO-8859-1" http-equiv="Content-Type">
  <title></title>
</head>
<body bgcolor="#ffffff" text="#000000">
Hello,<br>
<br>
I am trying to construct a contour plot where the contours are
separated by a constant amount but I would like a color bar (or
something) to show what the values of the different levels are. I will
have too many contours for clabels to be effective.<br>
<br>
When I use colorbar with unequally spaced contours and use
cspacing='linear' the ticks are spaced nicely but the colors are not.<br>
<br>
The following code exemplifies the problem:<br>
<br>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="Generator" content="Kate, the KDE Advanced Text Editor">
<pre><span style="color: rgb(128, 128, 128);"><i>#!/usr/bin/python</i></span>
<span style="color: rgb(255, 0, 255);">from</span> pylab <span
 style="color: rgb(255, 0, 255);">import</span> <span
 style="color: rgb(255, 0, 255);">*</span>

<span style="color: rgb(128, 128, 128);"><i>#Compute Data</i></span>
delta <span
 style="color: rgb(255, 0, 255);">=</span> <span
 style="color: rgb(128, 0, 128);">0.025</span>
x <span
 style="color: rgb(255, 0, 255);">=</span> arange<span
 style="color: rgb(255, 0, 255);">(-</span><span
 style="color: rgb(128, 0, 128);">3.0</span>, <span
 style="color: rgb(128, 0, 128);">3.0</span>, delta<span
 style="color: rgb(255, 0, 255);">)</span>
y <span
 style="color: rgb(255, 0, 255);">=</span> arange<span
 style="color: rgb(255, 0, 255);">(-</span><span
 style="color: rgb(128, 0, 128);">2.0</span>, <span
 style="color: rgb(128, 0, 128);">2.0</span>, delta<span
 style="color: rgb(255, 0, 255);">)</span>
X, Y <span
 style="color: rgb(255, 0, 255);">=</span> meshgrid<span
 style="color: rgb(255, 0, 255);">(</span>x, y<span
 style="color: rgb(255, 0, 255);">)</span>
Z1 <span
 style="color: rgb(255, 0, 255);">=</span> bivariate_normal<span
 style="color: rgb(255, 0, 255);">(</span>X, Y, <span
 style="color: rgb(128, 0, 128);">1.0</span>, <span
 style="color: rgb(128, 0, 128);">1.0</span>, <span
 style="color: rgb(128, 0, 128);">0.0</span>, <span
 style="color: rgb(128, 0, 128);">0.0</span><span
 style="color: rgb(255, 0, 255);">)</span>
Z2 <span
 style="color: rgb(255, 0, 255);">=</span> bivariate_normal<span
 style="color: rgb(255, 0, 255);">(</span>X, Y, <span
 style="color: rgb(128, 0, 128);">1.5</span>, <span
 style="color: rgb(128, 0, 128);">0.5</span>, <span
 style="color: rgb(0, 0, 255);">1</span>, <span
 style="color: rgb(0, 0, 255);">1</span><span
 style="color: rgb(255, 0, 255);">)</span>
<span style="color: rgb(128, 128, 128);"><i># difference of Gaussians</i></span>
Z <span
 style="color: rgb(255, 0, 255);">=</span> <span
 style="color: rgb(128, 0, 128);">100.0</span> <span
 style="color: rgb(255, 0, 255);">*</span> <span
 style="color: rgb(255, 0, 255);">(</span>Z2 <span
 style="color: rgb(255, 0, 255);">-</span> Z1<span
 style="color: rgb(255, 0, 255);">)</span>


<span style="color: rgb(128, 128, 128);"><i>#Draw figure</i></span>
figure<span
 style="color: rgb(255, 0, 255);">()</span>
levels<span
 style="color: rgb(255, 0, 255);">=[-</span><span
 style="color: rgb(0, 0, 255);">9</span>,<span
 style="color: rgb(255, 0, 255);">-</span><span
 style="color: rgb(128, 0, 128);">7.5</span>,<span
 style="color: rgb(255, 0, 255);">-</span><span
 style="color: rgb(0, 0, 255);">5</span>,<span
 style="color: rgb(255, 0, 255);">-</span><span
 style="color: rgb(128, 0, 128);">2.5</span>,<span
 style="color: rgb(255, 0, 255);">-</span><span
 style="color: rgb(128, 0, 128);">0.5</span>,<span
 style="color: rgb(128, 0, 128);">0.5</span>,<span
 style="color: rgb(128, 0, 128);">2.5</span>,<span
 style="color: rgb(0, 0, 255);">5</span>,<span
 style="color: rgb(128, 0, 128);">7.5</span>,<span
 style="color: rgb(0, 0, 255);">9</span><span
 style="color: rgb(255, 0, 255);">]</span>
CS <span
 style="color: rgb(255, 0, 255);">=</span> contour<span
 style="color: rgb(255, 0, 255);">(</span>Z, levels,
             origin<span
 style="color: rgb(255, 0, 255);">=</span><span
 style="color: rgb(221, 0, 0);">'lower'</span>,
             linewidths<span
 style="color: rgb(255, 0, 255);">=</span><span
 style="color: rgb(0, 0, 255);">2</span>,
             extent<span
 style="color: rgb(255, 0, 255);">=(-</span><span
 style="color: rgb(0, 0, 255);">3</span>,<span
 style="color: rgb(0, 0, 255);">3</span>,<span
 style="color: rgb(255, 0, 255);">-</span><span
 style="color: rgb(0, 0, 255);">2</span>,<span
 style="color: rgb(0, 0, 255);">2</span><span
 style="color: rgb(255, 0, 255);">))</span>
clabel<span
 style="color: rgb(255, 0, 255);">(</span>CS,
       inline<span
 style="color: rgb(255, 0, 255);">=</span><span
 style="color: rgb(0, 0, 255);">1</span>,
       fmt<span
 style="color: rgb(255, 0, 255);">=</span><span
 style="color: rgb(221, 0, 0);">'%1.1f'</span>,
       fontsize<span
 style="color: rgb(255, 0, 255);">=</span><span
 style="color: rgb(0, 0, 255);">14</span><span
 style="color: rgb(255, 0, 255);">)</span>

colorbar<span
 style="color: rgb(255, 0, 255);">(</span>CS,cspacing<span
 style="color: rgb(255, 0, 255);">=</span><span
 style="color: rgb(221, 0, 0);">'linear'</span><span
 style="color: rgb(255, 0, 255);">)</span>  <span
 style="color: rgb(128, 128, 128);"><i># make a colorbar for the contour lines</i></span>
title<span
 style="color: rgb(255, 0, 255);">(</span><span
 style="color: rgb(221, 0, 0);">"ColorBar lines don't match ticks"</span><span
 style="color: rgb(255, 0, 255);">)</span>
savefig<span
 style="color: rgb(255, 0, 255);">(</span><span
 style="color: rgb(221, 0, 0);">'BadColorBar'</span><span
 style="color: rgb(255, 0, 255);">)</span>
show<span
 style="color: rgb(255, 0, 255);">()</span>
</pre>
<br>
I have attached the file 'BadColorBar.png'<br>
<br>
Any help would be appreciated,<br>
Karl Edler<br>
</body>
</html>

Hi

In one somewhat bigger application of mine, which makes use of matplotlib, it 
can happen that a user can assign a name to a dataset, which latex in turn is 
unable to process as part of the legend. Of course it is possible to prevent 
the user from doing so in most cases, but still it is possible that a 
RuntimeError is raised.
My actual problem now is that there is no way to figure out where the 
exception was thrown by means of simply following the traceback, because the 
traceback is only about the matplotlib code. Or with other words: The 
traceback shows only where the problem in the matplotlib code is, e.g.

Traceback (most recent call last):
  File "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_wx.py", 
line 1048, in _onPaint
    self.draw(repaint=False)
<snip most of the Traceback>
File "/usr/lib64/python2.4/site-packages/matplotlib/texmanager.py", line 197, 
in make_dvi
    if exit_status: raise RuntimeError('LaTeX was not able to process \
RuntimeError: LaTeX was not able to process the flowing string:
<<some string>>
Here is the full report generated by LaTeX:
etc. etc. etc.

Alright, this particular error was provoked and for a small script it will be 
easy to figure out where the string in question was passed to latex, but I 
hope I was able to make myself clear.

Is it feasible to get a future release of matplotlib to include the individual 
programmers code where the exception was triggered into the traceback? (Or 
did I accidently truncate this very part of a traceback somehow?)

Regards,
Christian

PS I guess it should read:
"LaTeX was not able to process the following string" instead of "flowing 
string", right?
PPS Guess I should mention too, that I don't use the most recent version of 
mpl, but '0.87.3'.

I have a solution that works.
The problem is in 1/2 GTK and threads. unfortunetly threads are needed in
this instance, idle timers [orig tried with them] have their issues which
added their own problems, threads gave alot more benefits then they then
problems they solved (I have a forum-thread on a python forum about three
methods I tried, for this instance threading is the only solution)

Basically GTK can work with threads, the problem arrises when the thread
want's to change the GUI (say a txt lable). GTK can be made "thread-safe"
via calling gtk.gdk.threads_init() before gtk.main(). THEN every time the
thread wants to change something, put it between
gtk.threads_enter()
gtk.threads_leave()

calls.
THIS only works for default GTK widgets and since a matplotlib window isn't
a standard GTK widget it hard-locks the GUI.
I have a solution to it, it is quite neat (it could be a fn wrapper, but
don't know much abt fn wrappers)

#!/usr/bin/env python
import threading
import time
import math
import sys
import os

import pygtk
if sys.platform == 'win32':
    os.environ['PATH'] += ';lib;'
else:
    pygtk.require('2.0')
import gtk
import gobject
assert gtk.pygtk_version >= (1,99,16), 'pygtk should be >= 1.99.16'
#import gtk.glade


from pylab import *
rcParams['numerix'] = 'numpy'

import matplotlib
matplotlib.use('GTK')
from matplotlib.figure import Figure
from matplotlib.axes import Subplot
from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas


TIME = range(360)
VOLT = [math.sin(math.radians(x)) for x in TIME]
VOLT2 = [2]*360
VOLT3 = [x for x in range(360)]


def do_gui(fn,*args,**kw):
    def idle_func():
        print "idle"
        gtk.threads_enter()
        try:
            fn(*args,**kw)
        finally:
            gtk.threads_leave()
    gobject.idle_add(idle_func)

class my_thread(threading.Thread):
    def __init__(self,GUI):
        super(my_thread, self).__init__()
        self.GUI = GUI

    def run(self):
        time.sleep(10)
        #gtk.threads_enter()
        #try:
        #    self.GUI.Graph([TIME,VOLT3])
        #finally:
        #    gtk.threads_leave()
        do_gui(self.GUI.Graph,[TIME,VOLT3])





gtk.gdk.threads_init()
class GUI(object):
    def GUI_Plot(self,widget,event,data=None):
        self.Graph([TIME,VOLT2])

    def delete_event(self,widget,event,data=None):
        return False

    def destroy(self,widget,data=None):
        gtk.main_quit()


    def __init__(self):
        super(GUI,self).__init__()

        self.window = gtk.Window(gtk.WINDOW_TOPLEVEL)
        self.window.set_title("Matplotlib GTK test")
        self.window.connect("delete_event",self.delete_event)
        self.window.connect("destroy",self.destroy)

        self.window.set_border_width(10)
        self.box1 = gtk.VBox(False,0)
        self.window.add(self.box1)

        self.button = gtk.Button("GUI Plot")
        self.button.connect("clicked",self.GUI_Plot,None)
        self.box1.pack_start(self.button,True,True,0)


        self.button.show()
        self.box1.show()
        self.window.show()

        self.Graph([TIME,VOLT])


    def Graph(self,DATA):
        try:
            self.canvas.destroy()
            self.toolbar.destroy()
        except:pass

        self.figure = Figure(figsize=(6,3), dpi=100)#{{{
        self.axis = self.figure.add_subplot(111)
        self.axis.grid(True)
        self.axis.set_xlabel('Time (s)')


        self.axis.plot(DATA[0],DATA[1],linewidth=2.0)
                 self.canvas = FigureCanvas(self.figure) # a gtk.DrawingArea
            self.canvas.show()
            self.graphview = self.box1
            self.graphview.pack_start(self.canvas, True, True)



    def main(self):
        gtk.main()

if __name__ == "__main__":
    A = GUI()
    B = my_thread(A)
    B.start()

    gtk.threads_enter()
    A.main()
    gtk.threads_leave()



basically another fn is created that has the threads_enter and threads_leave
called, BUT they themselves are called within a gtk-idle call, this stops
the GUI from hard-locking.
I don't know if it is the best solution, but it is a solution.
thanks

On 9/5/06, John Hunter <jdh...@ac...> wrote:
>
> >>>>> "Jon" == Jon Roadley-Battin <jon...@gm...> writes:
>     Jon> is there any thread_init for matplotlib. short of having a
>     Jon> timer within the GUI class that checks if any new data is
>     Jon> present I cant see a way around this. It has to be done this
>
> There isn't any such method.  Would it work for you to update your
> line data / plot data and run canvas.draw_idle in a gtk timer, eg
> every second?  Since you are only polling your RS232 every second or
> so, it seems like you could update your graph in a timer on roughly
> the same time scale w/o too much pain.
>
> I don't know mcuh about threading, but trying to make threads play
> nice with all the GUIs mpl supports seems daunting, and I prefer to
> offload that to external apps -- eg ipython in pylab mode.  But if
> there is something we can add that will make your use case work better
> if the timer route doesn't work, feel free to suggest something...
>
> JDH
>

>>>>> "Jon" == Jon Roadley-Battin <jon...@gm...> writes:
    Jon> is there any thread_init for matplotlib. short of having a
    Jon> timer within the GUI class that checks if any new data is
    Jon> present I cant see a way around this. It has to be done this

There isn't any such method.  Would it work for you to update your
line data / plot data and run canvas.draw_idle in a gtk timer, eg
every second?  Since you are only polling your RS232 every second or
so, it seems like you could update your graph in a timer on roughly
the same time scale w/o too much pain.

I don't know mcuh about threading, but trying to make threads play
nice with all the GUIs mpl supports seems daunting, and I prefer to
offload that to external apps -- eg ipython in pylab mode.  But if
there is something we can add that will make your use case work better
if the timer route doesn't work, feel free to suggest something...

JDH

On 9/1/06, Kenny Ortmann <ya...@em...> wrote:
> hey guys i got the subversion from the site and I am trying to install it
> on windows.
>
> I changed dir into the matplotlib dir that includes the setup.py file.
>
> run python setup.py install, and im getting a wierd error.  i left the
> topmost lines along with the error.  has anyone seen anything like this
> before?
>
> building 'matplotlib.enthought.traits.ctraits' extension
> creating build\temp.win32-2.4\Release\lib
> creating build\temp.win32-2.4\Release\lib\matplotlib
> creating build\temp.win32-2.4\Release\lib\matplotlib\enthought
> creating build\temp.win32-2.4\Release\lib\matplotlib\enthought\traits
> C:\Program Files\Microsoft Visual Studio .NET 2003\Vc7\bin\cl.exe /c
> /nologo /Ox
>  /MD /W3 /GX /DNDEBUG -Ic:\Python24\include -Ic:\Python24\PC
> /Tclib/matplotlib/e
> nthought/traits/ctraits.c
> /Fobuild\temp.win32-2.4\Release\lib/matplotlib/enthoug
> ht/traits/ctraits.obj
> C:\Program Files\Microsoft Visual Studio .NET 2003\Vc7\bin\link.exe /DLL
> /nologo
>  /INCREMENTAL:NO /LIBPATH:c:\Python24\libs /LIBPATH:c:\Python24\PCBuild
> /EXPORT:
> initctraits
> build\temp.win32-2.4\Release\lib/matplotlib/enthought/traits/ctraits
> .obj /OUT:build\lib.win32-2.4\matplotlib\enthought\traits\ctraits.pyd
> /IMPLIB:bu
> ild\temp.win32-2.4\Release\lib/matplotlib/enthought/traits\ctraits.lib
> building 'matplotlib.backends._tkagg' extension
> C:\Program Files\Microsoft Visual Studio .NET 2003\Vc7\bin\cl.exe /c
> /nologo /Ox
>  /MD /W3 /GX /DNDEBUG -Iwin32_static/include/tcl84 -I. -Isrc -Iswig
> -Iagg23/incl
> ude -I. -I. -Iwin32_static/include/tcl84\freetype2 -I.\freetype2
> -Isrc\freetype2
>  -Iswig\freetype2 -Iagg23/include\freetype2 -I.\freetype2 -I.\freetype2
> -Ic:\Pyt
> hon24\include -Ic:\Python24\PC /Tpsrc/_tkagg.cpp
> /Fobuild\temp.win32-2.4\Release
> \src/_tkagg.obj
> _tkagg.cpp
> src\_tkagg.cpp(28) : fatal error C1083: Cannot open include file: 'tk.h':
> No suc
> h file or directory
> error: Command ""C:\Program Files\Microsoft Visual Studio .NET
> 2003\Vc7\bin\cl.e
> xe" /c /nologo /Ox /MD /W3 /GX /DNDEBUG -Iwin32_static/include/tcl84 -I.
> -Isrc -
> Iswig -Iagg23/include -I. -I. -Iwin32_static/include/tcl84\freetype2
> -I.\freetyp
> e2 -Isrc\freetype2 -Iswig\freetype2 -Iagg23/include\freetype2
> -I.\freetype2 -I.\
> freetype2 -Ic:\Python24\include -Ic:\Python24\PC /Tpsrc/_tkagg.cpp
> /Fobuild\temp
> .win32-2.4\Release\src/_tkagg.obj" failed with exit status 2

You need to install the tcl/tk headers as Darren mentioned.  I just
install ActiveTcl and the build should pick up on it no problem.

For the benefit of the mailing list & developers, this fix works fine
for me (OS X Tiger 10.4.7)

Cheers John.

Dave

On 04/09/06, John Hunter <jdh...@ac...> wrote:
> >>>>> "David" == David Andrews <irb...@gm...> writes:
>
>     David> Hiya, i'm having a problem getting a valid postscript file
>     David> produced on OS X.  Using the example subplot_demo.py,
>     David> modified to include the line:
>
>     David>     savefig('subplot_demo')
>
>     David> in the place of the show() command, and running it using:
>
>     David>     python subplot_demo.py -dPS
>
>     David> Produces the .ps file (available here for reference:
>     David> http://www.irbdavid.com/misc/subplot_demo.ps ), which can't
>     David> be opened by Preview on os x - says its can't convert it to
>     David> PDF & cant open the file.  Checked the permissions etc on
>     David> the file and they're fine.
>
>     David> Its pretty much a default installation of matplotlib etc,
>     David> and output displays fine on screen, using the wxPython /
>     David> wxAgg thing (I think that's what i mean :D )
>
> We've noticed this on tiger several times.  Some default system fault
> is causing troubles though we haven't identified which one.  The
> recommended fix it to put the Vera fonts (which matplotlib ships with)
> first in your rc file (http://matplotlib.sf.net/matplotlibrc) and
> remove your ~/.matplotlib/ttf.cache before rerunning
>
> Ie, you fonts section of ex should look something like this:
>
>
>   font.serif          : Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
>   font.sans-serif     : Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
>   font.cursive        : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
>   font.fantasy        : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
>   font.monospace      : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
>
> In future releases of mpl, this will be the default.
>
> JDH
>

>
>
> Message: 2
> Date: Mon, 04 Sep 2006 09:56:22 -0700
> From: Andrew Straw <str...@as...>
> Subject: Re: [Matplotlib-users] matplotlib, GTK and Threads
> To: Jon Roadley-Battin <jon...@gm...>,
>         mat...@li...
> Message-ID: <44F...@as...>
> Content-Type: text/plain; charset=ISO-8859-1
>
> Jon Roadley-Battin wrote:
> > The problem I have with with the non-GUI thread calling the "plot"
> > function.
>
> That's your problem -- you should only call the GUI code (including
> matplotlib, which eventually calls GTK) from a single thread. I suggest
> looking at the Queue module to pass your data to the GUI thread if it's
> not too much. If it's more, you could use threading.Lock() to regulate
> access to a giant array or something.
>
> -Andrew
>
>
>
> I was pretty convinced that is was due to the threading since early one
> with GTK I had some issues with it.
> I was hoping that there was some form of enable_threading method with
> matplotlib.
>
> The problem that makes this hard and what forced me down the thread route
> is that the thread polls the RS232 every second or so, thus it needs to be
> separate (ie threaded) from the GUI, this have been done with hte
> enter/leave thread statement for GTK.
>
> But now it seems that updating the Matplotlib MUST be done from within the
> GUI and not initilised by another thread (be it if the thread enabled GTK
> events) I must think of a way around it.
>
> The only other option is to start a GTK timer event (did use this
> originally, but they had problems with the whole asyncronous of the RS232)
> that every second check's if my plot array has been updated (via some flag)
> and if it has then update plot, this way it would be within the GUI-class
>
>
> I stipped the code down to its most basic instance (the window will have
> to be dragged wider)


is there any thread_init for matplotlib. short of having a timer within the
GUI class that checks if any new data is present I cant see a way around
this. It has to be done this way, the GUI doesn't instigate things, the GUI
only reports things, the thread gets the data at set intervals and then
updates the GUI

#!/usr/bin/env python
> import threading
> import time
> import math
> import sys
> import os
>
> import pygtk
> if sys.platform == 'win32':
>     os.environ['PATH'] += ';lib;'
> else:
>     pygtk.require('2.0')
> import gtk
> import gobject
> assert gtk.pygtk_version >= (1,99,16), 'pygtk should be >= 1.99.16'
> #import gtk.glade
>
>
> from pylab import *
> rcParams['numerix'] = 'numpy'
>
> import matplotlib
> matplotlib.use ('GTK')
> from matplotlib.figure import Figure
> from matplotlib.axes import Subplot
> from matplotlib.backends.backend_gtk import FigureCanvasGTK as
> FigureCanvas
>
>
> TIME = range(360)
> VOLT = [math.sin(math.radians(x)) for x in TIME]
> VOLT2 = [2]*360
> VOLT3 = [x for x in range(360)]
>
>
> class my_thread(threading.Thread):
>     def __init__(self,GUI):
>         super(my_thread, self).__init__()
>         self.GUI = GUI
>
>     def run(self):
>         time.sleep(10)
>         gtk.threads_enter()
>         try:
>             self.GUI.Graph([TIME,VOLT3])
>         finally:
>             gtk.threads_leave()
>
>
>
>
>
> gtk.gdk.threads_init()
> class GUI(object):
>     def GUI_Plot(self,widget,event,data=None):
>         self.Graph([TIME,VOLT2])
>
>     def delete_event(self,widget,event,data=None):
>         return False
>
>     def destroy(self,widget,data=None):
>         gtk.main_quit()
>
>
>     def __init__(self):
>         super(GUI,self).__init__()
>
>         self.window = gtk.Window(gtk.WINDOW_TOPLEVEL)
>         self.window.set_title("Matplotlib GTK test")
>         self.window.connect("delete_event",self.delete_event)
>         self.window.connect("destroy",self.destroy)
>
>         self.window.set_border_width (10)
>         self.box1 = gtk.VBox(False,0)
>         self.window.add(self.box1)
>
>         self.button = gtk.Button("GUI Plot")
>         self.button.connect("clicked",self.GUI_Plot,None)
>         self.box1.pack_start(self.button,True,True,0)
>
>
>         self.button.show()
>         self.box1.show()
>         self.window.show()
>
>         self.Graph([TIME,VOLT])
>
>
>     def Graph(self,DATA):
>         try:
>             self.canvas.destroy()
>             self.toolbar.destroy()
>         except:pass
>
>         self.figure = Figure(figsize=(6,3), dpi=100)#{{{
>         self.axis = self.figure.add_subplot(111)
>         self.axis.grid(True)
>         self.axis.set_xlabel('Time (s)')
>
>
>         self.axis.plot(DATA[0],DATA[1],linewidth=2.0)
>
>                  self.canvas = FigureCanvas( self.figure) # a
> gtk.DrawingArea
>             self.canvas.show()
>             self.graphview = self.box1
>
>             self.graphview.pack_start(self.canvas, True, True)
>
>
>
>     def main(self):
>         gtk.main()
>
> if __name__ == "__main__":
>     A = GUI()
>     B = my_thread(A)
>     B.start()
>
>     gtk.threads_enter()
>     A.main()
>     gtk.threads_leave ()
>
>

>>>>> "Nicolas" == Nicolas Bigaouette <nbi...@sy...> writes:
    Nicolas> Clearly, matplotlib's SVG backend doesn't seems to
    Nicolas> support TeX characters. Is it supposed to? 

It does -- the only trick is you need to make sure your svg viewer can
see the fonts.  Currently we use the bakoma cm*.ttf fonts that ship
with matplotlib, so make sure these fonts are in your svg viewer's
font path.  In postscript, we embed the truetype fonts directly into
the PS file which makes for large output files but helps portability
across ps viewers.  We were unable to figure out how to do this with
SVG.  

    Nicolas> Is it possible to hope it will?

One can always hope :-)

JDH

>>>>> "Kevin" == Kevin Horton <kho...@ro...> writes:

    Kevin> I was doing some Googling to look for a way to solve a
    Kevin> problem controlling sharex, and came across an example
    Kevin> using axprops.  This solved my problem, but now I wonder
    Kevin> what other aspects I can control with axprops, or other
    Kevin> similar methods.  Where is axprops documented?  I've looked
    Kevin> via pydoc, and in the pdf documentation, but no dice.

axprops is simply a dictionary holding key/value pairs.  It is not
part of the matplotlib API.  Any function that takes keyword
arguments, such as the Axes constructor, can take a dictionary with
keyword/value pairs using the following syntax

  a = Axes(fig, rect, **d)

where d is a dictionary.  This is part of python, not matplotlib
proper, but because matplotlib makes extensive use of keyword
arguments, it is a handy trick to remember.  When I am creating
several axes with shared properties, I often use it to have a single
customization point

axprops = dict(axisbg='yellow', xlim=(0,1))

for i in range(N):
   fig.add_subplot(N,1,i+1, **axprops)

or something like that.

But I don't think this solves your problem: you can use this to turn
on the sharex feature but not to turn it off once it is already on.

As for your question about where to find the aspects of the Axes that
can be controlled this way, you can do it by consulting the class
documentation at http://matplotlib.sf.net/matplotlib.axes.html and
looking for methods that start with "set_" or by firing up an
interactive shell (see http://matplotlib.sf.net/interactive.html) and
using setp introspection

In [2]: ax = subplot(111)

In [3]: setp(ax)
    adjustable: ['box' | 'datalim']
    alpha: float
    anchor: ['C', 'SW', 'S', 'SE', 'E', 'NE', 'N', 'NW', 'W']
    animated: [True | False]
    aspect: ['auto' | 'equal' | aspect_ratio]
    autoscale_on: True|False
    axis_bgcolor: any matplotlib color - see help(colors)
    axis_off: void
    axis_on: void
    axisbelow: True|False
    clip_box: a matplotlib.transform.Bbox instance
    clip_on: [True | False]
    cursor_props: a (float, color) tuple
    figure: a Figure instance
    frame_on: True|False
    label: any string
    lod: [True | False]
    navigate: True|False
    navigate_mode: unknown
    position: len(4) sequence of floats
    title: str
    transform: a matplotlib.transform transformation instance
    visible: [True | False]
    xlabel: str
    xlim: len(2) sequence of floats
    xscale: ['log' | 'linear' ]
    xticklabels: sequence of strings
    xticks: sequence of floats
    ylabel: str
    ylim: len(2) sequence of floats
    yscale: ['log' | 'linear']
    yticklabels: sequence of strings
    yticks: sequence of floats
    zorder: any number

I was doing some Googling to look for a way to solve a problem  
controlling sharex, and came across an example using axprops.  This  
solved my problem, but now I wonder what other aspects I can control  
with axprops, or other similar methods.  Where is axprops  
documented?  I've looked via pydoc, and in the pdf documentation, but  
no dice.

Thanks,

Kevin Horton
Ottawa, Canada

On Monday 04 September 2006 14:28, Nicolas Bigaouette wrote:
> Hi,
> What is causing this? Did something changed that I need to adapt my code
> or is it a bug?

Check the "aspect" keyword of your image, and try to set it to 'auto'.

> Clearly, matplotlib's SVG backend doesn't seems to support TeX
> characters. Is it supposed to? 
 Yes. 
http://matplotlib.sourceforge.net/matplotlib.texmanager.html

> Is it possible to hope it will? 
Pass

On Monday 04 September 2006 12:15 pm, John Hunter wrote:
> >>>>> "Darren" == Darren Dale <dd...@co...> writes:
>
>     Darren> It is strongly discouraged to try to build matplotlib from
>     Darren> source on windows.  Setting up your windows environment to
>     Darren> build the source is difficult and time consuming. Please
>     Darren> use the windows installers at the download site instead.
>
> I wouldn't go as far to say it is strongly discouraged; merely that it
> is not for the faint of heart.  For enterprising souls who know there
> way around a compiler, I would encourage it, since we would have more
> hands to help with building and testing svn on windows.  As for the
> specific error messages, it looks like you do not have the tk
> development headers installed or for some reason your build is not
> finding them.  Please see the header for win32 in setupext.py and
> references to the READMEs therein if you want to pursue this.

My mistake. Not for the faint of heart is a much better way of putting it.

Hi,

I have 2 questions.

First, after upgrading from 0.86 to 0.87, my graphics aren't the same. 
On 0.87, they are "squeezed" horizontally, which is bad. You can see an 
exemple on those (SVG exported to PNG via Inkscape):
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.86.2.png
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.87.4.png

The original SVGs are :
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.86.2.svg
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.87.4.svg

What is causing this? Did something changed that I need to adapt my code 
or is it a bug?


Second, as you can see on the PNG, I can't see well the TeX characters 
(look at the "x" axis, it should be "x (um)" with "u" being mu, the 
micron symbol http://en.wikipedia.org/wiki/Mu_%28letter%29). Those 
graphics are saved directly to SVG, without any GUI. If I display the 
graphic on my screen (without saving to SVG), I get that screen :
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.86.2_X.png
If I then save the file to PNG, I get this one :
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.86.2_X_save.png
witch is ok. But if I save to SVG, I get this one :
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.86.2_X_save.svg
Exported to PNG, the latter is :
http://nbigaouette.inrs-emt.homelinux.net/linux/matplotlib_0.86.2_X_save_svg.png

Clearly, matplotlib's SVG backend doesn't seems to support TeX 
characters. Is it supposed to? Is it possible to hope it will?

Thanks!

Nicolas

>>>>> "David" == David Huard <dav...@gm...> writes:

    David> Hi all, Is there a way to align text vertically so that the
    David> characters sit on a continuous line ?  When I do text(.5,
    David> .5, 'abc', verticalalignment='center') text(.6, .5, 'pqr',
    David> verticalalignment='center') both words are not aligned
    David> since the bars of p and q push the text upwards.  I get
    David> similar problems with 'top' and 'bottom' alignment.

Sadly not.  We need to add an additional alignment flag to support
this.  Currently, we align by the bounding box rather than the text
baseline.

JDH

Hi all,

Is there a way to align text vertically so that the characters sit on a
continuous line ?
When I do
text(.5, .5, 'abc', verticalalignment='center')
text(.6, .5, 'pqr', verticalalignment='center')
both words are not aligned since the bars of p and q push the text upwards.
I get similar problems with 'top' and 'bottom' alignment.


Thanks,

David

Jon Roadley-Battin wrote:
> The problem I have with with the non-GUI thread calling the "plot"
> function.

That's your problem -- you should only call the GUI code (including
matplotlib, which eventually calls GTK) from a single thread. I suggest
looking at the Queue module to pass your data to the GUI thread if it's
not too much. If it's more, you could use threading.Lock() to regulate
access to a giant array or something.

-Andrew

>>>>> "Michael" == Michael Fitzgerald <mp...@be...> writes:


    Michael> I placed that command before the ax.get_xticklabels(),
    Michael> and no dice.

    Michael> Thanks for looking into this, Mike

I took a look at the formatter code and it turns out it *does* know
the list of locations it has to format.  I was wrong about this in my
previous post.  The formatter has a locs attribute you can inspect to
see how many ticks there are.  So you should be able to do something
like

class MyFormatter(ScalarFormatter):
    def __call__(self, x, pos=None):
        N = len(self.locs)
        if pos==0: return ''        # turn off first
        elif pos==(N-1): return ''  # turn off last
        else: return ScalarFormatter(self, x, pos)

and you can do other things similarly, eg to turn off every other tick

if (pos%2)==0: return ''

If you want to get very clever with turning on and off certain ticks,
you can also create a custom locator derived from the Locator class
you are using.

JDH

>>>>> "Samuel" == Samuel GARCIA <sg...@ol...> writes:

    Samuel> Hello, I am writing a little GUI with PyQT4 and
    Samuel> matplotlib.  So it is embeded.  I want that feature for
    Samuel> the user : he can decided after ploting some data to
    Samuel> synchronize 2 graph with the x axis for the zoom.

    Samuel> So this method would be very useful for me. Maybe I can
    Samuel> write it.  Do you have a idea of all the variables
    Samuel> involved in the sharex feature ?

It doesn't look too easy, without some additional methods in the BBox
extension code.  I'll look into it.

JDH

>>>>> "Darren" == Darren Dale <dd...@co...> writes:

    Darren> It is strongly discouraged to try to build matplotlib from
    Darren> source on windows.  Setting up your windows environment to
    Darren> build the source is difficult and time consuming. Please
    Darren> use the windows installers at the download site instead.

I wouldn't go as far to say it is strongly discouraged; merely that it
is not for the faint of heart.  For enterprising souls who know there
way around a compiler, I would encourage it, since we would have more
hands to help with building and testing svn on windows.  As for the
specific error messages, it looks like you do not have the tk
development headers installed or for some reason your build is not
finding them.  Please see the header for win32 in setupext.py and
references to the READMEs therein if you want to pursue this.

JDH