matplotlib-users Mailing List for matplotlib

On 25 Jan 2006, at 21:13, Eric Firing wrote:

> James Boyle wrote:
>> In the quadmesh demo the shapes of the data(Z) and the coordinates 
>> (Qx,Qz) are exactly the same (n x n).
>> Now my understanding is that what is being plotted are values in a  
>> mesh which needs (n+1,n+1) vertices to describe it.
>> If I have a mesh of quadrilaterals defined by the vertices - how  
>> can pcolormesh plot this?
>> In collections.py the comments of QuadMesh appear to be addressing  
>> the description of the vertices, how is this used by pcolormesh?
>> It is very likely something very simple I am missing but I am at a  
>> loss at present.
>> --Jim
>
>
> Jim,
>
> I think that all the pcolor-type functions and methods simply throw  
> away the last row and column of Z.  This behavior is inherited from  
> Matlab. Perhaps it could be clarified (made explicit) in the  
> documentation.

This has always been a very annoying feature of matlab.

> I would also be inclined to make these functions accept a Z with  
> dimensions (m-1, n-1) for a grid with dimensions (m,n).  It is  
> silly to have to tack on an extra dummy row and column just to be  
> able to use all the values in a Z array.


It really would be much more logical.

George.

When you click on the close button of a graphics window, does this
call pylab.close()?

-Jack

On Wednesday 25 January 2006 14:59, Ryan Krauss wrote:
> My guess on the first problem is that you don't have ps2eps installed.
>  This is a dependency that I am not sure is checked. 

There was a bug in the function that checks for ps2eps. It is fixed in cvs. 

James Boyle wrote:
> In the quadmesh demo the shapes of the data(Z) and the 
> coordinates(Qx,Qz) are exactly the same (n x n).
> Now my understanding is that what is being plotted are values in a mesh 
> which needs (n+1,n+1) vertices to describe it.
> 
> If I have a mesh of quadrilaterals defined by the vertices - how can 
> pcolormesh plot this?
> 
> In collections.py the comments of QuadMesh appear to be addressing the 
> description of the vertices, how is this used by pcolormesh?
> 
> It is very likely something very simple I am missing but I am at a loss 
> at present.
> 
> --Jim


Jim,

I think that all the pcolor-type functions and methods simply throw away 
the last row and column of Z.  This behavior is inherited from Matlab. 
Perhaps it could be clarified (made explicit) in the documentation.  I 
would also be inclined to make these functions accept a Z with 
dimensions (m-1, n-1) for a grid with dimensions (m,n).  It is silly to 
have to tack on an extra dummy row and column just to be able to use all 
the values in a Z array.

Other people are working on the pcolor-type functions now, so I don't 
want to barge in and make these changes, but I don't see any reason they 
can't be made once the dust settles.

Eric

In the quadmesh demo the shapes of the data(Z) and the 
coordinates(Qx,Qz) are exactly the same (n x n).
Now my understanding is that what is being plotted are values in a mesh 
which needs (n+1,n+1) vertices to describe it.

If I have a mesh of quadrilaterals defined by the vertices - how can 
pcolormesh plot this?

In collections.py the comments of QuadMesh appear to be addressing the 
description of the vertices, how is this used by pcolormesh?

It is very likely something very simple I am missing but I am at a loss 
at present.

--Jim

  D'oh!  I thought I had caught all the dependencies.  That did it for
the distilling, thanks.  Anyone else with this problem, ps2eps can be
found at http://www.tm.uka.de/~bless/ps2eps.

On 1/25/06, Ryan Krauss <rya...@gm...> wrote:
> My guess on the first problem is that you don't have ps2eps installed.
>  This is a dependency that I am not sure is checked.  The output of
> this command should create an .eps file in the tmp folder you were
> looking at.
>
--
    -- Graeme
    gra...@gm...

My guess on the first problem is that you don't have ps2eps installed.
 This is a dependency that I am not sure is checked.  The output of
this command should create an .eps file in the tmp folder you were
looking at.

Try typing ps2eps -v at a command prompt and see if you have it.  You
also need ps2pdf and pdftops, but if the message is complaining about
an eps file, ps2eps is likely the problem.  I think these commands are
mainly ghostscript wrappers, but I am not sure.

Ryan

On 1/25/06, Graeme Lufkin <gra...@gm...> wrote:
>   I'm quite excited about usetex; it looks like exactly what I want.
> I'm using matplotlib 0.86.2,  dvipng 1.7, xpdf 3.00 and
> gnu-ghostscript-8.16.  I've got two issues.
>   First, I tried setting ps.usedistiller to xpdf, and got the error
> 'file not found: ~/tmp/<long hash here>.eps'.  If I look, a '.ps' file
> is there, which is probably what the distilling process means.  Help?
>   Second: In the script below, I've edited tex_demo.py to reveal two
> bugs.  First, if I don't specify the right size axes, the top plot
> label gets cut off, presumably because the height of the latex
> fragment isn't calculated right or something.  Second, I've increased
> the amplitude of the function, making the y-axis ticks integral.  With
> this change, the y axis ticks are now back in the default matplotlib
> font, instead of Computer Modern as when they were between 0 and 2.
> Not sure how this could happen.
>   Thanks for your great work so far.
>
> tex_demo.py:
> rc('text', usetex=3DTrue)
> #figure(1)
> #ax =3D axes([0.1, 0.1, 0.8, 0.7])
> t =3D arange(0.0, 1.0+0.01, 0.01)
> s =3D 50 * cos(2*2*pi*t)+50
> plot(t, s)
>
> xlabel(r'\bf{time (s)}')
> ylabel(r'\it{voltage (mV)}',fontsize=3D16)
> title(r"\TeX\ is Number
> $\displaystyle\sum_{n=3D1}^\infty\frac{-e^{i\pi}}{2^n}$!",
>       fontsize=3D16, color=3D'r')
> grid(True)
> savefig('tex_demo')
> show()
>
> --
>     -- Graeme
>     gra...@gm...
>
>
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Graeme Lufkin wrote:
>   Reading the user's guide, matplotlib looks for the matplotlibrc file
> in current directory, home dir, get_data_path(), then finally
> $MATPLOTLIBDATA before giving up.  I assumed that this order meant
> that options found higher in the list overrode those set in
> lower-priority rc files.  When I started playing with usetex, I found
> that lower priority rc files aren't read at all, only the first found
> rc file.  This goes counter to standard rc file practice, where a
> system-wide file is read first, then possibly overridden by personal
> ($HOME) and working directory options.
>   Is this analysis correct? 

More or less.

> Is there a reason for it? 

It was the easiest thing to do and didn't seem to be place too onerous a burden
on anyone.

> Can it be
> changed?

Well, I believe that an overhaul of the options system has been on the table for
some time now. I'm sure that if you are willing to write code to implement such
semantics that it will probably be included.

-- 
Robert Kern
rob...@gm...

"In the fields of hell where the grass grows high
 Are the graves of dreams allowed to die."
  -- Richard Harter

  I'm quite excited about usetex; it looks like exactly what I want.=20
I'm using matplotlib 0.86.2,  dvipng 1.7, xpdf 3.00 and
gnu-ghostscript-8.16.  I've got two issues.
  First, I tried setting ps.usedistiller to xpdf, and got the error
'file not found: ~/tmp/<long hash here>.eps'.  If I look, a '.ps' file
is there, which is probably what the distilling process means.  Help?
  Second: In the script below, I've edited tex_demo.py to reveal two
bugs.  First, if I don't specify the right size axes, the top plot
label gets cut off, presumably because the height of the latex
fragment isn't calculated right or something.  Second, I've increased
the amplitude of the function, making the y-axis ticks integral.  With
this change, the y axis ticks are now back in the default matplotlib
font, instead of Computer Modern as when they were between 0 and 2.=20
Not sure how this could happen.
  Thanks for your great work so far.

tex_demo.py:
rc('text', usetex=3DTrue)
#figure(1)
#ax =3D axes([0.1, 0.1, 0.8, 0.7])
t =3D arange(0.0, 1.0+0.01, 0.01)
s =3D 50 * cos(2*2*pi*t)+50
plot(t, s)

xlabel(r'\bf{time (s)}')
ylabel(r'\it{voltage (mV)}',fontsize=3D16)
title(r"\TeX\ is Number
$\displaystyle\sum_{n=3D1}^\infty\frac{-e^{i\pi}}{2^n}$!",
      fontsize=3D16, color=3D'r')
grid(True)
savefig('tex_demo')
show()

--
    -- Graeme
    gra...@gm...

  Reading the user's guide, matplotlib looks for the matplotlibrc file
in current directory, home dir, get_data_path(), then finally
$MATPLOTLIBDATA before giving up.  I assumed that this order meant
that options found higher in the list overrode those set in
lower-priority rc files.  When I started playing with usetex, I found
that lower priority rc files aren't read at all, only the first found
rc file.  This goes counter to standard rc file practice, where a
system-wide file is read first, then possibly overridden by personal
($HOME) and working directory options.
  Is this analysis correct?  Is there a reason for it?  Can it be
changed?  Thanks
--
    -- Graeme
    gra...@gm...

Jeff Whitaker wrote:
> Stephens, A (Ag) wrote:
> 
>
> Ag:  You should be able to use either contourf or pcolor to make the 
> plot by just passing it the X and Y coordinates of the radial distance, 
> azimuth points.  Here's a simple example:
> 
> from pylab import *
> deltatheta = 2.*pi/100.

> theta = arange(0.,2.*pi,deltatheta)
> R = arange(0.,pi,deltatheta)
> r,t = meshgrid(R, theta)

I see this kind of code a lot on this list.  I just want to point out 
that in NumPy (and Numeric and Numarray) you don't have to completely 
generate the "meshgrid" like this because of broadcasting.  All you need 
is for r to be Nx1 and t to be 1xN  and the broadcasting will take care 
of it so that Z, X, and Y below are all NxN.   This can save space and 
time particularly for large values of N.

In NumPy (and old SciPy) there is even a simple constructor for these 
"open" grids:

r,t = ogrid[0:pi:deltatheta, 0:2*pi:deltatheta]

would replace the three lines above.


> Z = sin(r)*sin(3.*t)
> X = r*cos(t)
> Y = r*sin(t)
> figure(figsize=(8,8))
> cs = contourf(X, Y, Z)
> title('Simple polar contour plot')
> show()


Sorry for the somewhat off-topic post.

-Travis

Christian, James,

I added masked_array support to the scatter function in CVS yesterday, 
so that with mpl from CVS one should be able to used masked arrays for 
any or all of the array arguments and it will plot only the unmasked 
values.  I added examples/scatter_masked.py to illustrate this.

Eric

Christian Meesters wrote:
> Hi James,
> 
> Guess I can't provide what Jim wants to code, but perhaps the wiki entry I 
> wrote a while ago will help out: 
> http://new.scipy.org/Wiki/Cookbook/Matplotlib/Plotting_values_with_masked_arrays
> (apparently the new highlighter messed up some lines, but it is still 
> readable)
> 
> Christian
> 
> 
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Hi Ryan,

On Wed, 25 Jan 2006, Ryan Krauss wrote:

> This is a threading problem.  As I understand it, you have two options:
> 1. Stick with TkAgg.

Hmm. Unfortunately, TkAgg is a factor 2 slower for animations
than GTKAgg.

> 2. Run the demo under iPython.

I just tried that, i.e. via:
  ipython -pylab
  run tst.py
but it did not work: whenever the plot window is behind
some other window during the raw_input(""),
the contents is destroyed.

Best, Arnd

This is a threading problem.  As I understand it, you have two options:
1. Stick with TkAgg.
2. Run the demo under iPython.

Otherwise the user has to close the plot window to keep the thread going.

On 1/25/06, Arnd Baecker <arn...@we...> wrote:
> Hi,
>
> I need help for the conversion from scipy.xplt to matplotlib:
>
> We have several cases where one plot is shown after another,
> separated via
>   raw_input("press <enter> for the next plot")
>
> However, while waiting for <enter> the redraw of the plot window
> does not work (e.g if it gets behind some other window).
>
> This example, run as a script, demonstrates the problem:
>
> #---------------------------------------------------------
> from pylab import *
> ion()                         # interactive mode
> x =3D arange(10)
> plot(x,x*x)                   # add something to the plot
> draw()
> raw_input("press <enter> for the next plot")
> clf()                         # another plot
> plot(x,x**3)
> draw()
> raw_input("press <enter> for end")
> #---------------------------------------------------------
>
> This does work for TkAgg but not for GTK, GTKAgg and WX.
>
> Best, Arnd
>
> P.S.: This is under debian linux with the latest CVS.
>       I could not test it under WXAgg because this gives me
>       (process:4035): GLib-GObject-CRITICAL **: g_object_new: assertion
>       `G_TYPE_IS_OBJECT (object_type)' failed
>
>
>
>
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> This SF.net email is sponsored by: Splunk Inc. Do you grep through log fi=
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=3D121642
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>

Hi,

I need help for the conversion from scipy.xplt to matplotlib:

We have several cases where one plot is shown after another,
separated via
  raw_input("press <enter> for the next plot")

However, while waiting for <enter> the redraw of the plot window
does not work (e.g if it gets behind some other window).

This example, run as a script, demonstrates the problem:

#---------------------------------------------------------
from pylab import *
ion()                         # interactive mode
x = arange(10)
plot(x,x*x)                   # add something to the plot
draw()
raw_input("press <enter> for the next plot")
clf()                         # another plot
plot(x,x**3)
draw()
raw_input("press <enter> for end")
#---------------------------------------------------------

This does work for TkAgg but not for GTK, GTKAgg and WX.

Best, Arnd

P.S.: This is under debian linux with the latest CVS.
      I could not test it under WXAgg because this gives me
      (process:4035): GLib-GObject-CRITICAL **: g_object_new: assertion
      `G_TYPE_IS_OBJECT (object_type)' failed

Stephens, A (Ag) wrote:
> Dear all,
>
> I am just looking at matplotlib for the first time and liking very much
> what I see. I have a requirement to try and plot a horizontal scan from
> a radar. The incoming data is simply array(distanceFromInstrument,
> azimuth). Has anybody tried doing for a polar plot without converting
> the data to a lat/lon grid first?
>
> An example of what I'd like to do is visible at:
>
> http://www.chilbolton.rl.ac.uk/weather/latest/latest_ppi_v2.png
>
> Thanks,
>
> Ag
>   
Ag:  You should be able to use either contourf or pcolor to make the 
plot by just passing it the X and Y coordinates of the radial distance, 
azimuth points.  Here's a simple example:

from pylab import *
deltatheta = 2.*pi/100.
theta = arange(0.,2.*pi,deltatheta)
R = arange(0.,pi,deltatheta)
r,t = meshgrid(R, theta)
Z = sin(r)*sin(3.*t)
X = r*cos(t)
Y = r*sin(t)
figure(figsize=(8,8))
cs = contourf(X, Y, Z)
title('Simple polar contour plot')
show()

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/PSD  R/PSD1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

On Tuesday 24 January 2006 10:41 pm, Christopher Fonnesbeck wrote:
> For some reason, the current cvs build of matplotlib
> generates a strange error:
>
> import pylab
> pylab.plot([1,2,3])
>
> yields:
>
> ValueError: arrays must have same number of dimensions

I think this was discussed on the devel list last week:

http://sourceforge.net/mailarchive/forum.php?thread_id=9520529&forum_id=36187

Hi James,

Guess I can't provide what Jim wants to code, but perhaps the wiki entry I 
wrote a while ago will help out: 
http://new.scipy.org/Wiki/Cookbook/Matplotlib/Plotting_values_with_masked_arrays
(apparently the new highlighter messed up some lines, but it is still 
readable)

Christian

Hi,

  I'm looking for a pygtk GUI to configure matplotlib plot attributes like
it is done in Mplot
http://cars9.uchicago.edu/~newville/Python/MPlot/screenshots.html
<http://cars9.uchicago.edu/%7Enewville/Python/MPlot/screenshots.html>
or something equivalent using a tree ....

David

Hi,

  I'm looking for a pygtk GUI to configure matplotlib plot attributes like
it is done in Mplot
http://cars9.uchicago.edu/~newville/Python/MPlot/screenshots.html
or something equivalent using a tree ....

David

Jack,

It's not exactly the same (it doesn't use a tree to access 'objects'),
but MPlot has a wxPython GUI for configuring many of the plot
attributes such as line style, color, etc.
See
   http://cars9.uchicago.edu/~newville/Python/MPlot/screenshots.html

--Matt

Christopher Fonnesbeck wrote:
> For some reason, the current cvs build of matplotlib
> generates a strange error:
> 
> import pylab
> pylab.plot([1,2,3])
> 
> yields:
> 
> ValueError: arrays must have same number of dimensions
> 
> I thought perhaps a second array was required, but:
> 
> pylab.plot([1,2,3],[1,2,3])
> 
> yields the same error.
> 
> Anyone else getting this?

Chris,

I'm not.  Looking at your traceback, I see that your version of lines.py 
is not up-to-date, and is missing the changes required for numpy support 
that will solve this problem.  There have been several such changes 
during the past week.  Either there are big problems with CVS mirror 
lag, or you have not updated recently enough.

Eric

Judging from "matplotlib-0.86-py2.4-macosx-10.4-ppc.egg" I am guessing
you are not using cvs matplotlib.  That is a strange error none the
less. 0.86.2 was released today.  Can you give it a try?

On 1/24/06, Christopher Fonnesbeck <ch...@tr...> wrote:
> For some reason, the current cvs build of matplotlib
> generates a strange error:
>
> import pylab
> pylab.plot([1,2,3])
>
> yields:
>
> ValueError: arrays must have same number of dimensions
>
> I thought perhaps a second array was required, but:
>
> pylab.plot([1,2,3],[1,2,3])
>
> yields the same error.
>
> Anyone else getting this?
>
> Here is a full debug of the call using ipython:
>
> In [4]: pylab.plot([1,2,3])
> -------------------------------------------------------------------------=
--
> exceptions.ValueError
> Traceback (most recent call last)
>
> /Users/chris/<ipython console>
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/pylab.py
> in plot(*args=3D([1, 2, 3],), **kwargs=3D{})
>    2053 def plot(*args, **kwargs):
>    2054     # allow callers to override the hold state
> by passing hold=3DTrue|False
> -> 2055     b =3D ishold()
>         b =3D undefined
>         global ishold =3D <function ishold at 0x175a270>
>    2056     h =3D popd(kwargs, 'hold', None)
>    2057     if h is not None:
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/pylab.py
> in ishold()
>     937     Return the hold status of the current axes
>     938     """
> --> 939     return gca().ishold()
>         global gca.ishold =3D undefined
>     940
>     941 def isinteractive():
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/pylab.py
> in gca(**kwargs=3D{})
>     888     """
>     889
> --> 890     ax =3D  gcf().gca(**kwargs)
>         ax =3D undefined
>         global gcf.gca =3D undefined
>         kwargs =3D {}
>     891     return ax
>     892
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/figure.py
> in gca(self=3D<matplotlib.figure.Figure instance at
> 0x16a3440>, **kwargs=3D{})
>     613         ax =3D self._axstack()
>     614         if ax is not None: return ax
> --> 615         return self.add_subplot(111, **kwargs)
>         self.add_subplot =3D <bound method
> Figure.add_subplot of <matplotlib.figure.Figure
> instance at 0x16a3440>>
>         kwargs =3D {}
>     616
>     617     def sca(self, a):
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/figure.py
> in add_subplot(self=3D<matplotlib.figure.Figure instance
> at 0x16a3440>, *args=3D(111,), **kwargs=3D{})
>     463                 a =3D PolarSubplot(self, *args,
> **kwargs)
>     464             else:
> --> 465                 a =3D Subplot(self, *args,
> **kwargs)
>         a =3D undefined
>         global Subplot =3D <class
> matplotlib.axes.Subplot at 0x169ec30>
>         self =3D <matplotlib.figure.Figure instance at
> 0x16a3440>
>         args =3D (111,)
>         kwargs =3D {}
>     466
>     467
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axes.py
> in __init__(self=3D<matplotlib.axes.Subplot instance at
> 0x16e67d8>, fig=3D<matplotlib.figure.Figure instance at
> 0x16a3440>, *args=3D(111,), **kwargs=3D{})
>    3972     def __init__(self, fig, *args, **kwargs):
>    3973         SubplotBase.__init__(self, fig, *args)
> -> 3974         Axes.__init__(self, fig,
> [self.figLeft, self.figBottom,
>         global Axes.__init__ =3D <unbound method
> Axes.__init__>
>         self =3D <matplotlib.axes.Subplot instance at
> 0x16e67d8>
>         fig =3D <matplotlib.figure.Figure instance at
> 0x16a3440>
>         self.figLeft =3D 0.125
>         self.figBottom =3D 0.099999999999999978
>         self.figW =3D 0.77500000000000002
>         self.figH =3D 0.80000000000000004
>         kwargs =3D {}
>    3975                                   self.figW,
> self.figH], **kwargs)
>    3976
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axes.py
> in __init__(self=3D<matplotlib.axes.Subplot instance at
> 0x16e67d8>, fig=3D<matplotlib.figure.Figure instance at
> 0x16a3440>, rect=3D[0.125, 0.099999999999999978,
> 0.77500000000000002, 0.80000000000000004],
> axisbg=3DNone, frameon=3DTrue, sharex=3DNone, sharey=3DNone,
> label=3D'', **kwargs=3D{})
>     329
>     330         # this call may differ for non-sep
> axes, eg polar
> --> 331         self._init_axis()
>         self._init_axis =3D <bound method
> Subplot._init_axis of <matplotlib.axes.Subplot
> instance at 0x16e67d8>>
>     332
>     333
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axes.py
> in _init_axis(self=3D<matplotlib.axes.Subplot instance
> at 0x16e67d8>)
>     358     def _init_axis(self):
>     359         "move this out of __init__ because
> non-separable axes don't use it"
> --> 360         self.xaxis =3D XAxis(self)
>         self.xaxis =3D undefined
>         global XAxis =3D <class matplotlib.axis.XAxis at
> 0x167a060>
>         self =3D <matplotlib.axes.Subplot instance at
> 0x16e67d8>
>     361         self.yaxis =3D YAxis(self)
>     362
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
> in __init__(self=3D<matplotlib.axis.XAxis instance at
> 0x177fb48>, axes=3D<matplotlib.axes.Subplot instance at
> 0x16e67d8>)
>     499         self.minorTicks =3D []
>     500
> --> 501         self.cla()
>         self.cla =3D <bound method XAxis.cla of
> <matplotlib.axis.XAxis instance at 0x177fb48>>
>     502
>     503     def cla(self):
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
> in cla(self=3D<matplotlib.axis.XAxis instance at
> 0x177fb48>)
>     522         popall(self.minorTicks)
>     523
> --> 524
> self.majorTicks.extend([self._get_tick(major=3DTrue)
> for i in range(1)])
>         self.majorTicks.extend =3D <built-in method
> extend of list object at 0x177fcb0>
>         self._get_tick =3D <bound method XAxis._get_tick
> of <matplotlib.axis.XAxis instance at 0x177fb48>>
>         global major =3D undefined
>         global True =3D undefined
>         i =3D 0
>         global range =3D undefined
>     525
> self.minorTicks.extend([self._get_tick(major=3DFalse)
> for i in range(1)])
>     526
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
> in _get_tick(self=3D<matplotlib.axis.XAxis instance at
> 0x177fb48>, major=3DTrue)
>     832
>     833     def _get_tick(self, major):
> --> 834         return XTick(self.axes, 0, '',
> major=3Dmajor)
>         global XTick =3D <class matplotlib.axis.XTick at
> 0x1614f60>
>         self.axes =3D <matplotlib.axes.Subplot instance
> at 0x16e67d8>
>         major =3D True
>     835
>     836     def _get_label(self):
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
> in __init__(self=3D<matplotlib.axis.XTick instance at
> 0x177fe40>, axes=3D<matplotlib.axes.Subplot instance at
> 0x16e67d8>, loc=3D0, label=3D'', size=3D4.0, gridOn=3DFalse,
> tick1On=3DTrue, tick2On=3DTrue, label1On=3DTrue,
> label2On=3DFalse, major=3DTrue)
>      98
>      99
> --> 100         self.tick1line =3D
> self._get_tick1line(loc)
>         self.tick1line =3D undefined
>         self._get_tick1line =3D <bound method
> XTick._get_tick1line of <matplotlib.axis.XTick
> instance at 0x177fe40>>
>         loc =3D 0
>     101         self.tick2line =3D
> self._get_tick2line(loc)
>     102         self.gridline =3D
> self._get_gridline(loc)
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
> in _get_tick1line(self=3D<matplotlib.axis.XTick instance
> at 0x177fe40>, loc=3D0)
>     274                     antialiased=3DFalse,
>     275                     marker =3D
> self._xtickmarkers[0],
> --> 276                     markersize=3Dself._size,
>         global markersize =3D undefined
>         self._size =3D 4.0
>     277                     )
>     278
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/lines.py
> in __init__(self=3D<matplotlib.lines.Line2D instance at
> 0x177fe90>, xdata=3D(0,), ydata=3D(0,), linewidth=3D1.0,
> linestyle=3D'None', color=3D'k', marker=3D2, markersize=3D4.0,
> markeredgewidth=3D0.5, markeredgecolor=3D'black',
> markerfacecolor=3D'blue', antialiased=3DFalse,
> dash_capstyle=3D'butt', solid_capstyle=3D'projecting',
> dash_joinstyle=3D'miter', solid_joinstyle=3D'miter',
> **kwargs=3D{})
>     209         self.verticalOffset =3D None
>     210
> --> 211         self.set_data(xdata, ydata)
>         self.set_data =3D <bound method Line2D.set_data
> of <matplotlib.lines.Line2D instance at 0x177fe90>>
>         xdata =3D (0,)
>         ydata =3D (0,)
>     212
>     213         if not
> self._lineStyles.has_key(linestyle):
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/lines.py
> in set_data(self=3D<matplotlib.lines.Line2D instance at
> 0x177fe90>, *args=3D((0,), (0,)))
>     280             x =3D ma.masked_array(x,
> mask=3Dmask).compressed()
>     281             y =3D ma.masked_array(y,
> mask=3Dmask).compressed()
> --> 282             self._segments =3D
> unmasked_index_ranges(mask)
>         self._segments =3D undefined
>         global unmasked_index_ranges =3D <function
> unmasked_index_ranges at 0x1248970>
>         mask =3D False
>     283         else:
>     284             self._segments =3D None
>
> /Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-pack=
ages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/lines.py
> in unmasked_index_ranges(mask=3DFalse, compressed=3DTrue)
>      67
>      68     '''
> ---> 69     m =3D concatenate(((1,), mask, (1,)))
>         m =3D undefined
>         global concatenate =3D <built-in function
> concatenate>
>         mask =3D False
>      70     indices =3D arange(len(mask) + 1)
>      71     mdif =3D m[1:] - m[:-1]
>
> ValueError: arrays must have same number of dimensions
>
>
> -------------------------------------------------------
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> _______________________________________________
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> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

For some reason, the current cvs build of matplotlib
generates a strange error:

import pylab
pylab.plot([1,2,3])

yields:

ValueError: arrays must have same number of dimensions

I thought perhaps a second array was required, but:

pylab.plot([1,2,3],[1,2,3])

yields the same error.

Anyone else getting this?

Here is a full debug of the call using ipython:

In [4]: pylab.plot([1,2,3])
---------------------------------------------------------------------------
exceptions.ValueError                               
Traceback (most recent call last)

/Users/chris/<ipython console> 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/pylab.py
in plot(*args=([1, 2, 3],), **kwargs={})
   2053 def plot(*args, **kwargs):
   2054     # allow callers to override the hold state
by passing hold=True|False
-> 2055     b = ishold()
        b = undefined
        global ishold = <function ishold at 0x175a270>
   2056     h = popd(kwargs, 'hold', None)
   2057     if h is not None:

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/pylab.py
in ishold()
    937     Return the hold status of the current axes
    938     """
--> 939     return gca().ishold()
        global gca.ishold = undefined
    940 
    941 def isinteractive():

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/pylab.py
in gca(**kwargs={})
    888     """
    889 
--> 890     ax =  gcf().gca(**kwargs)
        ax = undefined
        global gcf.gca = undefined
        kwargs = {}
    891     return ax
    892 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/figure.py
in gca(self=<matplotlib.figure.Figure instance at
0x16a3440>, **kwargs={})
    613         ax = self._axstack()
    614         if ax is not None: return ax
--> 615         return self.add_subplot(111, **kwargs)
        self.add_subplot = <bound method
Figure.add_subplot of <matplotlib.figure.Figure
instance at 0x16a3440>>
        kwargs = {}
    616 
    617     def sca(self, a):

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/figure.py
in add_subplot(self=<matplotlib.figure.Figure instance
at 0x16a3440>, *args=(111,), **kwargs={})
    463                 a = PolarSubplot(self, *args,
**kwargs)
    464             else:
--> 465                 a = Subplot(self, *args,
**kwargs)
        a = undefined
        global Subplot = <class
matplotlib.axes.Subplot at 0x169ec30>
        self = <matplotlib.figure.Figure instance at
0x16a3440>
        args = (111,)
        kwargs = {}
    466 
    467 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axes.py
in __init__(self=<matplotlib.axes.Subplot instance at
0x16e67d8>, fig=<matplotlib.figure.Figure instance at
0x16a3440>, *args=(111,), **kwargs={})
   3972     def __init__(self, fig, *args, **kwargs):
   3973         SubplotBase.__init__(self, fig, *args)
-> 3974         Axes.__init__(self, fig,
[self.figLeft, self.figBottom,
        global Axes.__init__ = <unbound method
Axes.__init__>
        self = <matplotlib.axes.Subplot instance at
0x16e67d8>
        fig = <matplotlib.figure.Figure instance at
0x16a3440>
        self.figLeft = 0.125
        self.figBottom = 0.099999999999999978
        self.figW = 0.77500000000000002
        self.figH = 0.80000000000000004
        kwargs = {}
   3975                                   self.figW,
self.figH], **kwargs)
   3976 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axes.py
in __init__(self=<matplotlib.axes.Subplot instance at
0x16e67d8>, fig=<matplotlib.figure.Figure instance at
0x16a3440>, rect=[0.125, 0.099999999999999978,
0.77500000000000002, 0.80000000000000004],
axisbg=None, frameon=True, sharex=None, sharey=None,
label='', **kwargs={})
    329 
    330         # this call may differ for non-sep
axes, eg polar
--> 331         self._init_axis()
        self._init_axis = <bound method
Subplot._init_axis of <matplotlib.axes.Subplot
instance at 0x16e67d8>>
    332 
    333 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axes.py
in _init_axis(self=<matplotlib.axes.Subplot instance
at 0x16e67d8>)
    358     def _init_axis(self):
    359         "move this out of __init__ because
non-separable axes don't use it"
--> 360         self.xaxis = XAxis(self)
        self.xaxis = undefined
        global XAxis = <class matplotlib.axis.XAxis at
0x167a060>
        self = <matplotlib.axes.Subplot instance at
0x16e67d8>
    361         self.yaxis = YAxis(self)
    362 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
in __init__(self=<matplotlib.axis.XAxis instance at
0x177fb48>, axes=<matplotlib.axes.Subplot instance at
0x16e67d8>)
    499         self.minorTicks = []
    500 
--> 501         self.cla()
        self.cla = <bound method XAxis.cla of
<matplotlib.axis.XAxis instance at 0x177fb48>>
    502 
    503     def cla(self):

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
in cla(self=<matplotlib.axis.XAxis instance at
0x177fb48>)
    522         popall(self.minorTicks)
    523 
--> 524        
self.majorTicks.extend([self._get_tick(major=True) 
for i in range(1)])
        self.majorTicks.extend = <built-in method
extend of list object at 0x177fcb0>
        self._get_tick = <bound method XAxis._get_tick
of <matplotlib.axis.XAxis instance at 0x177fb48>>
        global major = undefined
        global True = undefined
        i = 0
        global range = undefined
    525        
self.minorTicks.extend([self._get_tick(major=False)
for i in range(1)])
    526 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
in _get_tick(self=<matplotlib.axis.XAxis instance at
0x177fb48>, major=True)
    832 
    833     def _get_tick(self, major):
--> 834         return XTick(self.axes, 0, '',
major=major)
        global XTick = <class matplotlib.axis.XTick at
0x1614f60>
        self.axes = <matplotlib.axes.Subplot instance
at 0x16e67d8>
        major = True
    835 
    836     def _get_label(self):

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
in __init__(self=<matplotlib.axis.XTick instance at
0x177fe40>, axes=<matplotlib.axes.Subplot instance at
0x16e67d8>, loc=0, label='', size=4.0, gridOn=False,
tick1On=True, tick2On=True, label1On=True,
label2On=False, major=True)
     98 
     99 
--> 100         self.tick1line =
self._get_tick1line(loc)
        self.tick1line = undefined
        self._get_tick1line = <bound method
XTick._get_tick1line of <matplotlib.axis.XTick
instance at 0x177fe40>>
        loc = 0
    101         self.tick2line =
self._get_tick2line(loc)
    102         self.gridline =
self._get_gridline(loc)

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/axis.py
in _get_tick1line(self=<matplotlib.axis.XTick instance
at 0x177fe40>, loc=0)
    274                     antialiased=False,
    275                     marker =
self._xtickmarkers[0],
--> 276                     markersize=self._size,
        global markersize = undefined
        self._size = 4.0
    277                     )
    278 

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/lines.py
in __init__(self=<matplotlib.lines.Line2D instance at
0x177fe90>, xdata=(0,), ydata=(0,), linewidth=1.0,
linestyle='None', color='k', marker=2, markersize=4.0,
markeredgewidth=0.5, markeredgecolor='black',
markerfacecolor='blue', antialiased=False,
dash_capstyle='butt', solid_capstyle='projecting',
dash_joinstyle='miter', solid_joinstyle='miter',
**kwargs={})
    209         self.verticalOffset = None
    210 
--> 211         self.set_data(xdata, ydata)
        self.set_data = <bound method Line2D.set_data
of <matplotlib.lines.Line2D instance at 0x177fe90>>
        xdata = (0,)
        ydata = (0,)
    212 
    213         if not
self._lineStyles.has_key(linestyle):

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/lines.py
in set_data(self=<matplotlib.lines.Line2D instance at
0x177fe90>, *args=((0,), (0,)))
    280             x = ma.masked_array(x,
mask=mask).compressed()
    281             y = ma.masked_array(y,
mask=mask).compressed()
--> 282             self._segments =
unmasked_index_ranges(mask)
        self._segments = undefined
        global unmasked_index_ranges = <function
unmasked_index_ranges at 0x1248970>
        mask = False
    283         else:
    284             self._segments = None

/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site-packages/matplotlib-0.86-py2.4-macosx-10.4-ppc.egg/matplotlib/lines.py
in unmasked_index_ranges(mask=False, compressed=True)
     67 
     68     '''
---> 69     m = concatenate(((1,), mask, (1,)))
        m = undefined
        global concatenate = <built-in function
concatenate>
        mask = False
     70     indices = arange(len(mask) + 1)
     71     mdif = m[1:] - m[:-1]

ValueError: arrays must have same number of dimensions

Jack Sankey wrote:
> Hello,
> 
> Has anyone done something like this?
> 
> http://www.businessfist.com/zany/grab.jpg
> 
> I've been making it with features as I need it, but if someone already
> has one, I'd just get THAT.

We do this with Chaco and Traits UI all the time. I'm sure you could do
something similar with matplotlib and Traits UI, too.

http://code.enthought.com/chaco/
http://code.enthought.com/traits/

-- 
Robert Kern
rob...@gm...

"In the fields of hell where the grass grows high
 Are the graves of dreams allowed to die."
  -- Richard Harter