matplotlib-users Mailing List for matplotlib

my comments on modules being exposed appear to have fallen into a
vacuum. I still ask if "from matplotlib import *" should expose the
time module or the sys module?

Danny 

--- John Hunter <jdh...@ac...> wrote:

> >>>>> "Andrew" == Andrew Straw <str...@as...> writes:
> 
>     Andrew> I've just committed a patch to stop "from pylab import *"
>     Andrew> from overriding Python builtin functions like min() and
>     Andrew> max().
> 
>     Andrew> Spurred on by the potential of matplotlib included in the
>     Andrew> Enthought Edition of Python, I've gone ahead and added
> the
>     Andrew> following lines to pylab.py in CVS:
> 
>     Andrew> import __builtin__ min = __builtin__.min max =
>     Andrew> __builtin__.max sum = __builtin__.sum round =
>     Andrew> __builtin__.round abs = __builtin__.abs
> 
> 
> I thought we last left this with the idea that these changes would be
> made in matplotlib.numerix level, and that the old symbols would
> still
> be provided under the names amin, amax, aabs, etc..., and the
> existing
> matplotlib code and examples would be ported to the new naming
> scheme.
> Eg,
>
http://sourceforge.net/mailarchive/forum.php?thread_id=6323208&forum_id=36187
> 
> My fear is that if we do this in pylab but not numerix, confusion
> will
> only deepen.
> 
> FYI, we have until late Thursday I think to get anything we want in
> before the final enthon roll-up.
> 
> JDH
> 
> 
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Nadia Dencheva wrote:
> I've been able to reproduce the problem on MacOSX (after the 
> correction), although I don't have an answer to what's causing it now.

Results seem inconsistent; if i replace the 'rosenbrock' function in my 
previous script with

   def saddle(x,y): return y**2 - x**2

and use

   x = y = arange( -2, 2, 0.1 )

then

   contour( Z, x = X, y = Y, levels = 30, origin = 'lower' )

produces the zigzags, but

   contour( Z, x = X, y = Y, levels = 30, origin = 'upper' )

doesn't. The same isn't true of the rosenbrock function. I wonder if the 
zigzags might be coming from the C function which computes the levels. 
Is there a C interface to that function somewhere that we could try?

Dominique

>>>>> "Andrew" == Andrew Straw <str...@as...> writes:

    Andrew> I've just committed a patch to stop "from pylab import *"
    Andrew> from overriding Python builtin functions like min() and
    Andrew> max().

    Andrew> Spurred on by the potential of matplotlib included in the
    Andrew> Enthought Edition of Python, I've gone ahead and added the
    Andrew> following lines to pylab.py in CVS:

    Andrew> import __builtin__ min = __builtin__.min max =
    Andrew> __builtin__.max sum = __builtin__.sum round =
    Andrew> __builtin__.round abs = __builtin__.abs


I thought we last left this with the idea that these changes would be
made in matplotlib.numerix level, and that the old symbols would still
be provided under the names amin, amax, aabs, etc..., and the existing
matplotlib code and examples would be ported to the new naming scheme.
Eg,
http://sourceforge.net/mailarchive/forum.php?thread_id=6323208&forum_id=36187

My fear is that if we do this in pylab but not numerix, confusion will
only deepen.

FYI, we have until late Thursday I think to get anything we want in
before the final enthon roll-up.

JDH

I've just committed a patch to stop "from pylab import *" from 
overriding Python builtin functions like min() and max().

Spurred on by the potential of matplotlib included in the Enthought 
Edition of Python, I've gone ahead and added the following lines to 
pylab.py in CVS:

import __builtin__
min = __builtin__.min
max = __builtin__.max
sum = __builtin__.sum
round = __builtin__.round
abs = __builtin__.abs

Although I didn't do anything about it, and without having thought about 
it deeply, I like Norbert Nemec's idea of introducing __round__ (and 
__min__, __max__, and __sum__ for sequences) methods into standard 
Python, thus eliminating the need for functions in numpy/numarray to 
accomplish these same tasks.  Unfortunately, I don't have the time to 
get into this right now.  (This approach would also ask numpy/numarray 
to eliminate their abs() function in favor of implementing an __abs__() 
method on array types.)

Cheers!
Andrew

>>>>> "Engelsma," == Engelsma, Dave <D.E...@La...> writes:

    Dave> Hi John, I'm wondering how to set the fontsize of the
    Dave> ticklabels on an axis (y axis in this case). I would
    Dave> like to do something as shown in the third line of
    Dave> code:

    Dave> .  .  .  graph_axes.set_xlim([0,24])
    Dave> graph_axes.set_ylim([0,MaxHourlyDowntime+100])
    Dave> graph_axes.set_yticklabels(fontsize=6) .  .  .

  for label in graph_axes.get_yticklabels(): 
      label.set_size(6)

Note you can also change the default label size "system wide" using
the rc param tick.labelsize - http://matplotlib.sf.net/.matplotlibrc
.  You can either change it in the rc file itself, or set it for the
application with, for example

from matplotlib import rc
rc('tick', labelsize=6)

This will affect both the x and y tick labels....

    Dave> but that won't work, because I'm not supply a list of
    Dave> ticklabels. Is there a simple answer to this? (I've
    Dave> looked through the mailing lists and the class library
    Dave> documentation with no success...

    Dave> Also, attached is a screenshot of an statistical
    Dave> application that is almost complete... all of the
    Dave> graphing and plotting functions are 100% complete and
    Dave> work courtesy of matplotlib. (you had helped me with a
    Dave> few issues last year and requested a screen shot...)

Cool -- thanks!

JDH

>>>>> "Andrew" == Andrew Becker <be...@da...> writes:

    Andrew> Hi - However, if you interact with the window (zoom in)
    Andrew> than this information is lost.  It would be nice to be
    Andrew> able to set a permanant attritute for the axis,
    Andrew> yaxis.reversed = True, or some such thing.

I assume you are working with an older version of matplotlib....
Gergory fixed this (I can't remember the version number it was fixed
din ) but it works as of the latest release.

JDH

Hi - 

   However, if you interact with the window (zoom in) than this
information is lost.  It would be nice to be able to set a permanant
attritute for the axis, yaxis.reversed = True, or some such thing.

Andy

> ylim(ymax, ymin)
> OR
> xlim(xmax, xmin)
> 
> See, for example, http://matplotlib.sf.net/examples/invert_axes.py

>>>>> "Dominique" == Dominique Orban <Dom...@po...> writes:

    Dominique> Is there any reason why we can't use the usual TeX
    Dominique> symbols for the accents, e.g.: \'{e} for acute accent,
    Dominique> \`{e} for grave, \"{a} for umlaut, etc.?

FYI, all of these *are* standard TeX commands.  The shortcuts are also
now in matplotlib CVS (I added them after my post yesterday); as in
TeX, the curly's are optional, so you can do \"{o}, \ddot{o}, \"o or
\ddot o.

JDH

Hi John,

I'm wondering how to set the fontsize of the ticklabels on an axis (y
axis in this case). I would like to do something as shown in the third
line of code:

.
.
.
graph_axes.set_xlim([0,24])
graph_axes.set_ylim([0,MaxHourlyDowntime+100])
graph_axes.set_yticklabels(fontsize=6)
.
.
.
        
but that won't work, because I'm not supply a list of ticklabels. Is
there a simple answer to this? (I've looked through the mailing lists
and the class library documentation with no success...

Also, attached is a screenshot of an statistical application that is
almost complete... all of the graphing and plotting functions are 100%
complete and work courtesy of matplotlib. (you had helped me with a few
issues last year and requested a screen shot...)

Thanks in advance,

Dave Engelsma

> To: Matt Newville <new...@ca...>
> Cc: Mayer Gerhard <ger...@co...>,
> 	<mat...@li...>
> Subject: Re: AW: [Matplotlib-users] French characters
> From: John Hunter <jdh...@ac...>
> Date: Tue, 18 Jan 2005 15:49:57 -0600
> 
> 
>>>>>>"Matt" == Matt Newville <new...@ca...> writes:
> 
> 
>     Matt> Sorry for the confusion, that's not what I meant.  I think
>     Matt> that the acute sign would have to be added to the list of
>     Matt> symbols that mathtext can handle.  That would probably mean
>     Matt> both special code in mathtext.py and an entry in
>     Matt> _mathtext_data.py. I'm not sure what the right entry in the
>     Matt> font table would be, as I don't understand the entries in
>     Matt> the latex_to_bakoma dictionary in _mathtext_data.py at all.
> 
> I just added support for accents in general to mathtext.  The
> following accents are provided: \hat, \breve, \grave, \bar, \acute,
> \tilde, \vec, \dot, \ddot.  All of them have the same syntax, eg to
> make an overbar you do \bar{o} or to make an o umlaut you do \ddot{o}.

Is there any reason why we can't use the usual TeX symbols for the 
accents, e.g.: \'{e} for acute accent, \`{e} for grave, \"{a} for 
umlaut, etc.?

There has been an attempt to introduce LaTeX commands into Powerpoint at 
some point (some package from Stanford I believe, called TeXPoint). It 
produces nice equations but very few use it simply because the commands 
aren't standard TeX.

Dominique

Hola 
I have experienced exactly the same problem when using
 the contour plot with a windows installation.
Kristen



--- John Hunter <jdh...@ac...> wrote:

> >>>>> "Dominique" == Dominique Orban
> <Dom...@po...> writes:
> 
>     Dominique> If anyone is able to reproduce the
> problem, then it
>     Dominique> might indeed be a problem. If not,
> perhaps something is
>     Dominique> funny with my box.
> 
> A complete script which replicates the problem, w/
> an attached saved
> figure which shows it, would help immensely.
> 
> JDH
> 
> 
> 
>
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Hi!

A few weeks ago I started using Python, Matplotlib, and WxPython for a new
project, and continue to be quite impressed. I now ran into a problem
however, which I cannot solve in a decent way: I am using a slightly more
complicated GUI than the ones in the examples, and positioned a Matplotlib
canvas and the toolbar inside a sizer, which is not the "root"-most sizer
(in the __init__ constructor of my wx.Frame-derived class I call
"self.SetSizer(sizer_A)" while I add the Matplotlib canvas to a different
sizer_B, kind of like "self.sizer_B.Add(self.canvas, 1, wxTOP | wxLEFT |
wxEXPAND)", with sizer_B being added via intermediate objects to sizer_A).

 

What now happens isn't completely clear to me - but it looks as if the
events aren't handled correctly anymore (nothing at all happens, if I use
the custom sizing given in one of the examples; if I call
self.SetToolBar(self.toolbar) instead, some of the buttons work, I think).
If I position both the canvas and the toolbar in the "root"-most sizer
instead, everything runs fine. Does anyone know a way to solve this?

 

I am using WxGlade to write some of the GUI code, because it seems to save
some typing work. Below, I added a simple example of the problem I
encounter. I basically combined the "embedding_in_wx4.py" with some
WxGlade-created code (the frame contains a sizer_A with a button and a
sizer_2 which contains the sizer_B that in turn contains the canvas. Of
course, this setup would be possible without this structure, it is just
meant to illustrate...) 

 

Does someone also have some input on WxGlade or other choices that are out
there? What about Boa Constructor? Is that any good? Currently I am using
SPE...

 

Thanks a lot in advance for your help,

 

Michael Sielemann

 

 

 

______ example code (not working like this, to illustrate the problem I am
encountering ________________

 

 

#!/usr/bin/env python

# -*- coding: ISO-8859-1 -*-

# generated by wxGlade 0.3.5.1 on Tue Jan 18 17:42:12 2005

 

 

from matplotlib.numerix import arange, sin, pi

 

import matplotlib

 

# uncomment the following to use wx rather than wxagg

#matplotlib.use('WX')

#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas

 

# comment out the following to use wx rather than wxagg

matplotlib.use('WXAgg')

from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as
FigureCanvas

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

 

from matplotlib.backends.backend_wx import _load_bitmap

from matplotlib.figure import Figure

from matplotlib.numerix import rand

 

 

import wx

 

class MyNavigationToolbar(NavigationToolbar2Wx):

    """

    Extend the default wx toolbar with your own event handlers

    """

    ON_CUSTOM = wx.NewId()

    def __init__(self, canvas, cankill):

        NavigationToolbar2Wx.__init__(self, canvas)

 

        # for simplicity I'm going to reuse a bitmap from wx, you'll

        # probably want to add your own.

        self.AddSimpleTool(self.ON_CUSTOM, _load_bitmap('stock_left.xpm'),

                           'Click me', 'Activate custom contol')

        EVT_TOOL(self, self.ON_CUSTOM, self._on_custom)

 

    def _on_custom(self, evt):

        # add some text to the axes in a random location in axes (0,1)

        # coords) with a random color

 

        # get the axes

        ax = self.canvas.figure.axes[0]

 

        # generate a random location can color

        x,y = tuple(rand(2))

        rgb = tuple(rand(3))

 

        # add the text and draw

        ax.text(x, y, 'You clicked me',

                transform=ax.transAxes,

                color=rgb)

        self.canvas.draw()

        evt.Skip()

 

 

 

class MyFrame(wx.Frame):

    def __init__(self, *args, **kwds):

        # begin wxGlade: MyFrame.__init__

        kwds["style"] = wx.DEFAULT_FRAME_STYLE

        wx.Frame.__init__(self, *args, **kwds)

        self.panel_1 = wx.Panel(self, -1)

        self.panel_2 = wx.Panel(self.panel_1, -1)

        self.button_1 = wx.Button(self.panel_1, -1, "Useless")

        

        # moved downwards

        #self.__set_properties()

        #self.__do_layout()

        # end wxGlade

        

        # "embedding_in_wx4.py" sample code integration

        self.SetBackgroundColour(wxNamedColor("WHITE"))

        

        self.figure = Figure(figsize=(5,4), dpi=100)

        self.axes = self.figure.add_subplot(111)

        

        self.canvas = FigureCanvas(self, -1, self.figure)

        

        t = arange(0.0,3.0,0.01)

        s = sin(2*pi*t)

        

        self.axes.plot(t,s)

        

        self.toolbar = MyNavigationToolbar(self.canvas, True)

 

        self.__set_properties()

        self.__do_layout()

        # end of "embedding_in_wx4.py" sample code integration

 

    def __set_properties(self):

        # begin wxGlade: MyFrame.__set_properties

        self.SetTitle("frame_1")

        self.SetSize((600, 500))

        # end wxGlade

        

        # "embedding_in_wx4.py" sample code integration

        self.toolbar.Realize()

        # end of "embedding_in_wx4.py" sample code integration

        

    def __do_layout(self):

        # begin wxGlade: MyFrame.__do_layout

        sizer_A = wx.BoxSizer(wx.VERTICAL)

        sizer_2 = wx.BoxSizer(wx.HORIZONTAL)

        

        # next lines were modified by hand

        self.sizer_B = wxBoxSizer(wxVERTICAL)

        self.sizer_B.Add(self.canvas, 1, wxTOP | wxLEFT | wxEXPAND)

 

        sizer_2.Add(self.sizer_B, 2, wxTOP | wxLEFT | wxEXPAND, 0)

 

        sizer_2.Add(self.button_1, 1, wx.EXPAND|wx.FIXED_MINSIZE, 0)

        self.panel_1.SetAutoLayout(True)

        self.panel_1.SetSizer(sizer_2)

        sizer_2.Fit(self.panel_1)

        sizer_2.SetSizeHints(self.panel_1)

        sizer_A.Add(self.panel_1, 1, wx.EXPAND, 0)

        #self.SetAutoLayout(True)

        #self.SetSizer(sizer_A)

        #self.Layout()

        # end wxGlade

 

        # "embedding_in_wx4.py" sample code integration

        if wxPlatform == '__WXMAC__':

            # Mac platform (OSX 10.3, MacPython) does not seem to cope with

            # having a toolbar in a sizer. This work-around gets the buttons

            # back, but at the expense of having the toolbar at the top

            self.SetToolBar(self.toolbar)

        else:

            # On Windows platform, default window size is incorrect, so set

            # toolbar width to figure width.

            tw, th = self.toolbar.GetSizeTuple()

            fw, fh = self.canvas.GetSizeTuple()

            # By adding toolbar in sizer, we are able to put it at the
bottom

            # of the frame - so appearance is closer to GTK version.

            # As noted above, doesn't work for Mac.

            self.toolbar.SetSize(wxSize(fw, th))

            self.sizer_B.Add(self.toolbar, 0, wxLEFT | wxEXPAND)

 

 

        # Capture the paint message        what was the use of this?

        #EVT_PAINT(self, self.OnPaint)        

 

        # update the axes menu on the toolbar

        self.toolbar.update()  

        #self.SetSizer(self.sizer)

        #self.Fit()

 

        # end of "embedding_in_wx4.py" sample code integration

 

        self.SetAutoLayout(True)

        self.SetSizer(sizer_A)

        self.Layout()

 

 

 

# end of class MyFrame

 

class MyAtmosphereApp(wx.App):

    def OnInit(self):

        wx.InitAllImageHandlers()

        frame_1 = MyFrame(None, -1, "")

        self.SetTopWindow(frame_1)

        frame_1.Show()

        return 1

 

# end of class MyAtmosphereApp

 

if __name__ == "__main__":

    import gettext

    gettext.install("AtmosphereApp") # replace with the appropriate catalog
name

 

    # more of my init stuff

    

 

    AtmosphereApp = MyAtmosphereApp(0)

    AtmosphereApp.MainLoop()