Re: [Matplotlib-users] py2exe and matplotlib errors when executing exe

[Christoph Gohlke]

This is probably the docstring problem mentioned at the bottom of 
.

--
Christoph

On 5/17/2010 4:07 PM, New2Python wrote:
>
> Hi All,
>
> I hope someone can help, I have run into a few problems when trying to
> execute an exe file created when I use py2exe with matplotlib.
> I have python2.5, matplotlib v0.99.1 and py2exe from GUI2Exe v0.5.0
> optimisation is python -OO
> the files compile correctly however when I execute the exe I get an error as
> shown below
> this is an extract
>
>File "matplotlib\mlab.pyo", line 380, in
> TypeError: unsupported operand type(s) for %: 'NoneType' and 'dict'
>
> the traceback points to this line of my code
>
> from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg
>
> does anyone know how to solve this, i have seen references made to numpy but
> not matplotlib
>
> Regards
>
> Marco
>

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[Matplotlib-users] py2exe and matplotlib errors when executing exe

[New2Python]

Hi All,

I hope someone can help, I have run into a few problems when trying to
execute an exe file created when I use py2exe with matplotlib.
I have python2.5, matplotlib v0.99.1 and py2exe from GUI2Exe v0.5.0
optimisation is python -OO
the files compile correctly however when I execute the exe I get an error as
shown below
this is an extract

  File "matplotlib\mlab.pyo", line 380, in 
TypeError: unsupported operand type(s) for %: 'NoneType' and 'dict'

the traceback points to this line of my code

from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg

does anyone know how to solve this, i have seen references made to numpy but
not matplotlib

Regards

Marco



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[Matplotlib-users] matplotlib font in cairo

[copyrights]

Hallo,

I'm try to use MathTextParser output for cairo in my wxpython gui. Works well 
under ubunutu linux (maybe dublicated font) but fails under windows 
(screenshot: http://www.ubuntu-pics.de/bild/62985/auswahl_017_RC86gk.png ).

How to tell cairo to use the font file from mpl-data?

Here some code:

from matplotlib.mathtext import MathTextParser
from matplotlib.font_manager import ttfFontProperty
import wx
import wx.lib.wxcairo
import cairo

#...
MPC = MathTextParser("Cairo")
dc = wx.BufferedPaintDC(self)
ctx = wx.lib.wxcairo.ContextFromDC(dc)
#...
width, height, descent, glyphs, rects = 
self.mathtext_parser.parse(r"$a_0+a_1\xi+a_2\xi^2+a_3\xi^3$",dpi,prop)
#...

for font, fontsize, s, ox, oy in glyphs:
   #...
   fontProp = ttfFontProperty(font)
   #...
   ctx.select_font_face (fontProp.name,
 self.fontangles [fontProp.style],
 self.fontweights[fontProp.weight])

   #...
   ctx.show_text(s.encode("utf-8"))
   #...
#...

greetz

Frank

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Re: [Matplotlib-users] pcolor shading=interp change interpolation method?

[Eric Firing]

On 05/17/2010 06:32 AM, Reckoner wrote:
> Hi,
>
> Using the following
>
>  >>> pcolor(x,y,z,shading='interp')
>
> is it possible to change the interpolation method used? I noticed that
> there are set_interpolation methods for images created using
>
> In [83]: h = imshow( z)
>
> In [84]: h.set_interpolation?
> Type:   instancemethod
> Base Class: 
> String Form:  >
> Namespace:  Interactive
> File:   c:\python26\lib\site-packages\matplotlib\image.py
> Definition: h.set_interpolation(self, s)
> Docstring:
>  Set the interpolation method the image uses when resizing.
>
> ACCEPTS: ['nearest' | 'bilinear' | 'bicubic' | 'spline16' |
> 'spline36' | 'hanning' | 'hamming' | 'hermite' | 'kaiser' |
> 'quadric' | 'catrom' | 'gaussian' | 'bessel' | 'mitchell' |
> 'sinc' | 'lanczos' | ]
>
> are these available for pcolor?

No.  Pcolor simply fills quadrilaterals.  There is a NonUniformImage 
class that accepts image interpolation options.  I don't think anyone 
has ever gotten around to giving it a nice interface via an Axes method 
or pyplot function, but there is an example of its use:

http://matplotlib.sourceforge.net/examples/pylab_examples/image_nonuniform.html

In the svn version of mpl there is also a gouraud shading option to 
pcolormesh, which provides interpolation on non-rectangular grids.

Eric

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Re: [Matplotlib-users] Matplotlib-users Digest, Vol 48, Issue 23

[Alan G Isaac]

On 5/17/2010 11:31 AM, Sandy Ydnas wrote:
> it gets stuck in all tested by me IDE inclusing Komodo,pythonxy

http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show

hth,
Alan Isaac


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Re: [Matplotlib-users] Formatting X-axis

[Malte Dik]

Hi,

> Is there any API to draw the lines between the labels?
> I guess its not possible with this tool.

You could use the ticks' properties (one of their children is a 
matplotlib.lines.Line2D instance which you could modify to your wishes). The 
second possibility is see is you put a box with only two drawn borders around 
the labels, which I think might lead to problems.

So if you want to inspect, what you can do with those ticks you can use

pyplot.getp(object_to_inspect) and pyplot.setp(object_to_inspect) aswell as
dir(object_to_inspect).

I mostly do this by having an open python shell where I create and check out 
the properties I want to work on and a little script I modify to check out how 
the changes affect the plot. What I did looked something like this:

>>> from matplotlib import pyplot
>>> fig = pyplot.figure()
>>> p = fig.add_subplot(111)
>>> p.yaxis.set_ticks([3,4,5]) 
[, , ]
>>> m = p.yaxis.set_ticks([3,4,5])
>>> dir(m[0])
['__class__', '__d..., 'get_children', 'get_cli...]
>>> pyplot.getp(m[0])
alpha = 1.0
...
children = [, >> m[0].get_children()
>>> pyplot.getp(m[0].get_children()[0])
>>> pyplot.setp(m[0].get_children()[0])

and if you don't have the return of creating the ticks ("m" in this case) then 
you can get then using
>>> p.yaxis.get_children()
[, , , 
, , , 
]

Hope it helps,

Malte

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[Matplotlib-users] pcolor shading=interp change interpolation method?

[Reckoner]

Hi,

Using the following

>>> pcolor(x,y,z,shading='interp')

is it possible to change the interpolation method used? I noticed that there
are set_interpolation methods for images created using

In [83]: h = imshow( z)

In [84]: h.set_interpolation?
Type:   instancemethod
Base Class: 
String Form:>
Namespace:  Interactive
File:   c:\python26\lib\site-packages\matplotlib\image.py
Definition: h.set_interpolation(self, s)
Docstring:
Set the interpolation method the image uses when resizing.

ACCEPTS: ['nearest' | 'bilinear' | 'bicubic' | 'spline16' |
  'spline36' | 'hanning' | 'hamming' | 'hermite' | 'kaiser' |
  'quadric' | 'catrom' | 'gaussian' | 'bessel' | 'mitchell' |
  'sinc' | 'lanczos' | ]

are these available for pcolor?

Thanks!
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Re: [Matplotlib-users] Formatting X-axis

[rajtendulkar]

Is there any API to draw the lines between the labels?
I guess its not possible with this tool.
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Re: [Matplotlib-users] Matplotlib-users Digest, Vol 48, Issue 23

[John Hunter]

> Wingware is only example that commerciale soft can not solve this problem
> never,

What does

  >>> matplotlib.get_backend()

report?  According to http://www.wingware.com/doc/howtos/matplotlib
they are assuming TkAgg.  You may also want to read the suggestions at

  http://matplotlib.sourceforge.net/users/shell.html

for advice on how to use matplotlib interactively from the command
shell in an IDE.  Basically, you need to make sure your "backend"
corresponds to the GUI and interactive mode is set to True.  See also

  http://matplotlib.sourceforge.net/users/customizing.html
  http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend

JDH

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Re: [Matplotlib-users] Matplotlib-users Digest, Vol 48, Issue 23

[Sandy Ydnas]

 

Mike,

 

Wingware is only example that commerciale soft can not solv ethis problem never,

 

it gets stuck in all tested by me IDE inclusing Komodo,pythonxy,...

 

 

is is general problem if Matplotlib even staertd in book as I mentined 
previoulsy 

 

it is impossible after show() to continue debug in IDE's  for 
> > > example wingware or pythonxy as stated in Beginning Python 
> > > Visualization - Crafting Visual Transformation Scripts
> > > (2009)
> > > page  187
> > > 
> > > Note If you're not using matplotlib interactively in Python, be 
> > > sure to call the function show() after all graphs have been 
> > > generated, as it enters a user interface main loop that will stop 
> > > execution of the rest of your code. The reason behind this 
> > > behavior is that matplotlib is designed to be embedded in a GUI as 
> > > well.
> > > In Windows, if you're working from interactive Python, you need 
> > > only issue show() once; close the figures (or figures) to return 
> > > to the shell. Subsequent plots will be drawn automatically without 
> > > issuing show(), and you'll be able to plot graphs interactively.
> > > 

 

 

 

but no one IDE uses ipython

Sandy

 

 

 Personally, I don't use Wingware, so I don't know any specifics about 
> using matplotlib in that environment. You could try asking this 
> question on a Wingware-related mailing list.
> 
> Mike

 
> From: matplotlib-users-requ...@lists.sourceforge.net
> Subject: Matplotlib-users Digest, Vol 48, Issue 23
> To: matplotlib-users@lists.sourceforge.net
> Date: Mon, 17 May 2010 15:06:07 +
> 
> Send Matplotlib-users mailing list submissions to
> matplotlib-users@lists.sourceforge.net
> 
> To subscribe or unsubscribe via the World Wide Web, visit
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> or, via email, send a message with subject or body 'help' to
> matplotlib-users-requ...@lists.sourceforge.net
> 
> You can reach the person managing the list at
> matplotlib-users-ow...@lists.sourceforge.net
> 
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Matplotlib-users digest..."
> 
> 
> Today's Topics:
> 
> 1. Re: imshow memory problem (Michael Droettboom)
> 2. FW: Matplotlib-users Digest, Vol 48, Issue 19 (Sandy Ydnas)
> 3. align title of subplot with ylabel (hettling)
> 4. Re: FW: Matplotlib-users Digest, Vol 48, Issue 19
> (Michael Droettboom)
> 
> 
> --
> 
> Message: 1
> Date: Mon, 17 May 2010 10:47:41 -0400
> From: Michael Droettboom 
> Subject: Re: [Matplotlib-users] imshow memory problem
> To: Tom?? Farag? 
> Cc: matplotlib-users@lists.sourceforge.net
> Message-ID: <4bf1570d.40...@stsci.edu>
> Content-Type: text/plain; charset=windows-1252; format=flowed
> 
> On Linux, I only see about an extra 24kb being used when the canvas is 
> added to a window vs. not adding it (i.e. commenting out the 
> window.add(canvas) line).
> 
> In general, here's the memory usage to be expected from imshow (if it's 
> a floating-point, not-rgb(a) array as you have here):
> 
> The original data: 4-bytes-per-pixel for float32 or 8-bytes-per-pixel 
> for float64 (in your example the array is float64).
> Intermediate float data: *if* the original is not float64, then an 
> intermediate float64 is created (not the case here)
> The colorized data: 4-bytes-per-pixel at original array size
> The sized data: 4-bytes-per-pixel at the scaled figure size
> 
> I hope I'm not forgetting anything, but the point is that to support 
> high-speed rendering of plots, the memory usage is much greater than the 
> data itself. If your data is truly large, the usual technique is to 
> decimate or downsample it before passing it to matplotlib, as you're not 
> going to see more data points than pixels on your display anyway.
> 
> Mike
> 
> Tom?? Farag? wrote:
> > Hello,
> > I am writing a GUI using GTK+ library. I have a question about axes class 
> > imshow method memory consumtion. If I pass the imshow an array, the 
> > resulting memory consuption is approximatelly 46 times greater than the 
> > array size. If I do not add the canvas to a window (in a code below), the 
> > memory consuption is "only" 8 times greater. Any tips on how to reduce the 
> > memory consuption would be very appreciated and any explanation of how much 
> > memmory imshow allocates too. Configuration and script are below.
> >
> > os: Windowx XP
> > matplotlib version: 0.99.1
> > downloaded from: sourceforge.net
> >
> > script:
> > from matplotlib.figure import Figure
> > from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
> > from pylab import rand
> > import gtk
> >
> > window = gtk.Window()
> > window.connect("destroy", gtk.main_quit)
> >
> > figure = Figure(figsize=(8,6), dpi=72)
> > canvas = FigureCanvasGTKAgg(figure)
> > axes = figure.add_subplot(111)
> >
> > window.add(canvas)
> >
> > axes.imshow(rand(1024,1024))
> > canvas.draw()
> > window.show_a

Re: [Matplotlib-users] FW: Matplotlib-users Digest, Vol 48, Issue 19

[Michael Droettboom]

Personally, I don't use Wingware, so I don't know any specifics about 
using matplotlib in that environment.  You could try asking this 
question on a Wingware-related mailing list.

Mike

Sandy Ydnas wrote:
>
>  
>  Hello friends,
>  
> no body can answer on first obvious question of Matplotlib???!
>
>  
> Sandy
>  
>
> > From: matplotlib-users-requ...@lists.sourceforge.net
> > Subject: Matplotlib-users Digest, Vol 48, Issue 19
> > To: matplotlib-users@lists.sourceforge.net
> > Date: Thu, 13 May 2010 18:18:52 +
> >
> > Send Matplotlib-users mailing list submissions to
> > matplotlib-users@lists.sourceforge.net
> >
> > To subscribe or unsubscribe via the World Wide Web, visit
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> > or, via email, send a message with subject or body 'help' to
> > matplotlib-users-requ...@lists.sourceforge.net
> >
> > You can reach the person managing the list at
> > matplotlib-users-ow...@lists.sourceforge.net
> >
> > When replying, please edit your Subject line so it is more specific
> > than "Re: Contents of Matplotlib-users digest..."
> >
> >
> > Today's Topics:
> >
> > 1. debugging process gets stuck with matpltlib after show()
> > (Sandy Sandy)
> >
> >
> > --
> >
> > Message: 1
> > Date: Thu, 13 May 2010 23:18:42 +0500
> > From: Sandy Sandy 
> > Subject: [Matplotlib-users] debugging process gets stuck with
> > matpltlib after show()
> > To: 
> > Message-ID: 
> > Content-Type: text/plain; charset="windows-1252"
> >
> >
> >
> >
> > Hi all,
> > I am new born in Python ( 1 week old)
> >
> >
> >
> > Can you pls help to understand the basic concept of
> > matpltlib interacting with Python
> >
> >
> >
> > the mutter is:
> >
> > during debugging the debug processes stacks when fig is created
> >
> > for example, in code
> >
> >
> >
> >
> >
> > import matplotlib.pyplot as plt
> >
> > from pylab import *
> >
> > x= 23;
> >
> > y = 11;
> >
> > print(23456)
> >
> > plt.plot(range(10))
> >
> > plot([1,2,3])
> >
> > show()
> >
> > print()
> >
> > a=888
> >
> >
> >
> > it is impossible after show() to continue debug in any IDE for 
> example Wingwar
> > or pythonxy
> >
> > as stated in
> >
> > Beginning Python Visualization - Crafting Visual Transformation 
> Scripts (2009)
> >
> > page 187
> >
> >
> >
> > Note If you?re not using matplotlib interactively in Python, be sure
> >
> > to call the function show() after all
> >
> > graphs have been generated, as it enters a user interface main loop
> >
> > that will stop execution of the rest of
> >
> > your code. The reason behind this behavior is that matplotlib is
> >
> > designed to be embedded in a GUI as well.
> >
> > In Windows, if you?re working from interactive Python, you need only
> >
> > issue show() once; close the figures
> >
> > (or figures) to return to the shell. Subsequent plots will be drawn
> >
> > automatically without issuing show(), and
> >
> > you?ll be able to plot graphs interactively.
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > I tried the code
> >
> >
> >
> >
> >
> > with threads
> >
> > as suggested in
> >
> > http://matplotlib.sourceforge.net/users/shell.html
> >
> >
> >
> > code
> > taken from people
> > from wingware
> >
> > http://www.wingware.com/doc/howtos/matplotlib
> >
> >
> >
> >
> >
> > from threading import Timer
> >
> > t = Timer(0, show)
> >
> > t.start()
> >
> >
> >
> > but still debugging process gets
> > stuck...
> >
> >
> > import
> > matplotlib as mpl
> >
> > from
> > pylab import plot,show,close,ion
> >
> > x
> > = range(10)
> >
> > plot(x)
> >
> > 'show()'
> >
> > from
> > threading import Timer
> >
> > t
> > = Timer(0, show)
> >
> > t.start()
> >
> > 'ion()
> > the same result with or not'
> >
> > a
> > = 133
> >
> > y
> > = [2, 8, 3, 9, 4]
> >
> > plot(y)
> >
> >
> >
> > zz=
> > 12346
> >
> > print(4)
> >
> >
> >
> > Best Regards
> >
> > Sandy
> >
> >
> > _
> > Hotmail: Trusted email with Microsoft?s powerful SPAM protection.
> > https://signup.live.com/signup.aspx?id=60969
> > -- next part --
> > An HTML attachment was scrubbed...
> >
> > --
> >
> > 
> --
> >
> >
> >
> > --
> >
> > ___
> > Matplotlib-users mailing list
> > Matplotlib-users@lists.sourceforge.net
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
> > End of Matplotlib-users Digest, Vol 48, Issue 19
> > 
>
> 
> Hotmail: Powerful Free email with security by Microsoft. Get it now. 
> 
> 
>
> 

[Matplotlib-users] align title of subplot with ylabel

[hettling]

Dear all,

I'm struggling with the following problem plotting my data:

I have a figure with two panels next to each other, which I want to
label 'A' and 'B'. I want to left-justify my panel labels, but not to
the box that contains the plot, but to the y-axis label. I played around
with 'text()' and 'title()', but did not find a good solution except for
giving the coordinates manually to 'text()'. This would be very
inconvenient though, because I have many different plots on different
scales.
Here is what I tried:

###Code
import scipy
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(121)
plt.plot(scipy.sin(scipy.arange(1,100, 0.001)))
plt.xlabel('xlabel')
plt.ylabel("ylabel")
plt.text(0,1,"A", fontsize=14, transform=ax.transAxes)  

ax = fig.add_subplot(122)
plt.plot(scipy.cos(scipy.arange(1,100, 0.001)))
plt.text(0,1,"B", fontsize=14, transform=ax.transAxes)
plt.xlabel('xlabel')
###End Code

So the texts 'A' and 'B' should be a little bit higher and more to the
left. The 'A' I want to align with the y-axis label of the left plot,
the 'B' with the values of the y-axis of the right plot. 

I hope my question is clear, I will appreciate any help!

Thanks in advance,

Hannes 


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[Matplotlib-users] FW: Matplotlib-users Digest, Vol 48, Issue 19

[Sandy Ydnas]

 

 Hello friends,

 

no body can answer on first obvious question of Matplotlib???!


 

Sandy

 
> From: matplotlib-users-requ...@lists.sourceforge.net
> Subject: Matplotlib-users Digest, Vol 48, Issue 19
> To: matplotlib-users@lists.sourceforge.net
> Date: Thu, 13 May 2010 18:18:52 +
> 
> Send Matplotlib-users mailing list submissions to
> matplotlib-users@lists.sourceforge.net
> 
> To subscribe or unsubscribe via the World Wide Web, visit
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> or, via email, send a message with subject or body 'help' to
> matplotlib-users-requ...@lists.sourceforge.net
> 
> You can reach the person managing the list at
> matplotlib-users-ow...@lists.sourceforge.net
> 
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Matplotlib-users digest..."
> 
> 
> Today's Topics:
> 
> 1. debugging process gets stuck with matpltlib after show()
> (Sandy Sandy)
> 
> 
> --
> 
> Message: 1
> Date: Thu, 13 May 2010 23:18:42 +0500
> From: Sandy Sandy 
> Subject: [Matplotlib-users] debugging process gets stuck with
> matpltlib after show()
> To: 
> Message-ID: 
> Content-Type: text/plain; charset="windows-1252"
> 
> 
> 
> 
> Hi all,
> I am new born in Python ( 1 week old)
> 
> 
> 
> Can you pls help to understand the basic concept of
> matpltlib interacting with Python
> 
> 
> 
> the mutter is:
> 
> during debugging the debug processes stacks when fig is created
> 
> for example, in code
> 
> 
> 
> 
> 
> import matplotlib.pyplot as plt
> 
> from pylab import *
> 
> x= 23;
> 
> y = 11;
> 
> print(23456)
> 
> plt.plot(range(10))
> 
> plot([1,2,3])
> 
> show()
> 
> print()
> 
> a=888
> 
> 
> 
> it is impossible after show() to continue debug in any IDE for example Wingwar
> or pythonxy 
> 
> as stated in
> 
> Beginning Python Visualization - Crafting Visual Transformation Scripts (2009)
> 
> page 187
> 
> 
> 
> Note If you?re not using matplotlib interactively in Python, be sure
> 
> to call the function show() after all
> 
> graphs have been generated, as it enters a user interface main loop
> 
> that will stop execution of the rest of
> 
> your code. The reason behind this behavior is that matplotlib is
> 
> designed to be embedded in a GUI as well.
> 
> In Windows, if you?re working from interactive Python, you need only
> 
> issue show() once; close the figures
> 
> (or figures) to return to the shell. Subsequent plots will be drawn
> 
> automatically without issuing show(), and
> 
> you?ll be able to plot graphs interactively.
> 
> 
> 
> 
> 
> 
> 
> 
> 
> I tried the code 
> 
> 
> 
> 
> 
> with threads
> 
> as suggested in 
> 
> http://matplotlib.sourceforge.net/users/shell.html
> 
> 
> 
> code
> taken from people
> from wingware
> 
> http://www.wingware.com/doc/howtos/matplotlib
> 
> 
> 
> 
> 
> from threading import Timer
> 
> t = Timer(0, show)
> 
> t.start()
> 
> 
> 
> but still debugging process gets
> stuck...
> 
> 
> import
> matplotlib as mpl
> 
> from
> pylab import plot,show,close,ion
> 
> x
> = range(10)
> 
> plot(x)
> 
> 'show()'
> 
> from
> threading import Timer
> 
> t
> = Timer(0, show)
> 
> t.start()
> 
> 'ion()
> the same result with or not'
> 
> a
> = 133
> 
> y
> = [2, 8, 3, 9, 4]
> 
> plot(y)
> 
> 
> 
> zz=
> 12346
> 
> print(4)
> 
> 
> 
> Best Regards
> 
> Sandy
> 
> 
> _
> Hotmail: Trusted email with Microsoft?s powerful SPAM protection.
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> 
> End of Matplotlib-users Digest, Vol 48, Issue 19
> 
  
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Re: [Matplotlib-users] imshow memory problem

[Michael Droettboom]

On Linux, I only see about an extra 24kb being used when the canvas is 
added to a window vs. not adding it (i.e. commenting out the 
window.add(canvas) line).

In general, here's the memory usage to be expected from imshow (if it's 
a floating-point, not-rgb(a) array as you have here):

The original data: 4-bytes-per-pixel for float32 or 8-bytes-per-pixel 
for float64 (in your example the array is float64).
Intermediate float data: *if* the original is not float64, then an 
intermediate float64 is created (not the case here)
The colorized data: 4-bytes-per-pixel at original array size
The sized data: 4-bytes-per-pixel at the scaled figure size

I hope I'm not forgetting anything, but the point is that to support 
high-speed rendering of plots, the memory usage is much greater than the 
data itself.  If your data is truly large, the usual technique is to 
decimate or downsample it before passing it to matplotlib, as you're not 
going to see more data points than pixels on your display anyway.

Mike

Tomáš Faragó wrote:
> Hello,
> I am writing a GUI using GTK+ library. I have a question about axes class 
> imshow method memory consumtion. If I pass the imshow an array, the resulting 
> memory consuption is approximatelly 46 times greater than the array size. If 
> I do not add the canvas to a window (in a code below), the memory consuption 
> is "only" 8 times greater. Any tips on how to reduce the memory consuption 
> would be very appreciated and any explanation of how much memmory imshow 
> allocates too. Configuration and script are below.
>
> os: Windowx XP
> matplotlib version: 0.99.1
> downloaded from: sourceforge.net
>
> script:
> from matplotlib.figure import Figure
> from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
> from pylab import rand
> import gtk
>
> window = gtk.Window()
> window.connect("destroy", gtk.main_quit)
>
> figure = Figure(figsize=(8,6), dpi=72)
> canvas = FigureCanvasGTKAgg(figure)
> axes = figure.add_subplot(111)
>
> window.add(canvas)
>
> axes.imshow(rand(1024,1024))
> canvas.draw()
> window.show_all()
>
> gtk.main()
>
> verbose-helpful output:
> $HOME=C:\Documents and Settings\Sensej
> CONFIGDIR=C:\Documents and Settings\Sensej\.matplotlib
> matplotlib data path C:\Python26\lib\site-packages\matplotlib\mpl-data
> loaded rc file C:\Python26\lib\site-packages\matplotlib\mpl-data\matplotlibrc
> matplotlib version 0.99.1
> verbose.level helpful
> interactive is False
> units is False
> platform is win32
> Using fontManager instance from C:\Documents and 
> Settings\Sensej\.matplotlib\fontList.cache
> backend GTKAgg version 2.12.1
> findfont: Matching 
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
>  to Bitstream Vera Sans 
> (C:\Python26\lib\site-packages\matplotlib\mpl-data\fonts\ttf\Vera.ttf) with 
> score of 0.00
>
> Thank you,
> Tomas.
>
> --
>
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-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA


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[Matplotlib-users] imshow memory problem

[Tomáš Faragó]

Hello,
I am writing a GUI using GTK+ library. I have a question about axes class 
imshow method memory consumtion. If I pass the imshow an array, the resulting 
memory consuption is approximatelly 46 times greater than the array size. If I 
do not add the canvas to a window (in a code below), the memory consuption is 
"only" 8 times greater. Any tips on how to reduce the memory consuption would 
be very appreciated and any explanation of how much memmory imshow allocates 
too. Configuration and script are below.

os: Windowx XP
matplotlib version: 0.99.1
downloaded from: sourceforge.net

script:
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg
from pylab import rand
import gtk

window = gtk.Window()
window.connect("destroy", gtk.main_quit)

figure = Figure(figsize=(8,6), dpi=72)
canvas = FigureCanvasGTKAgg(figure)
axes = figure.add_subplot(111)

window.add(canvas)

axes.imshow(rand(1024,1024))
canvas.draw()
window.show_all()

gtk.main()

verbose-helpful output:
$HOME=C:\Documents and Settings\Sensej
CONFIGDIR=C:\Documents and Settings\Sensej\.matplotlib
matplotlib data path C:\Python26\lib\site-packages\matplotlib\mpl-data
loaded rc file C:\Python26\lib\site-packages\matplotlib\mpl-data\matplotlibrc
matplotlib version 0.99.1
verbose.level helpful
interactive is False
units is False
platform is win32
Using fontManager instance from C:\Documents and 
Settings\Sensej\.matplotlib\fontList.cache
backend GTKAgg version 2.12.1
findfont: Matching 
:family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
 to Bitstream Vera Sans 
(C:\Python26\lib\site-packages\matplotlib\mpl-data\fonts\ttf\Vera.ttf) with 
score of 0.00

Thank you,
Tomas.

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Re: [Matplotlib-users] Licence Question

[John Hunter]

On Mon, May 17, 2010 at 8:28 AM, Craig Lyndon  wrote:
> Hi All,
>
> Im new to matplotlib, and I love it, but I have a question about the
> Licence agreement.
> I am wanting to develop a commercial closed source application for my
> company using python and matplotlib.
>
> I have tried reading the Licence agreement, but have trouble understanding it.
> Could someone please tell me under what conditions I can use
> matplotlib in a closed source application?

The license itself is the ultimate reference, but in a nutshell, you
are free to use matplotlib in a commercial, closed source application.
 The only clause that could potentially require action from you is
that if you *modify* matplotlib and want to distribute it for others,
you need to summarize  the changes you made (clause 3).

If you end up making a lot of money, remember us on the "donations" page :-)

http://sourceforge.net/project/project_donations.php?group_id=80706

JDH

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[Matplotlib-users] Licence Question

[Craig Lyndon]

Hi All,

Im new to matplotlib, and I love it, but I have a question about the
Licence agreement.
I am wanting to develop a commercial closed source application for my
company using python and matplotlib.

I have tried reading the Licence agreement, but have trouble understanding it.
Could someone please tell me under what conditions I can use
matplotlib in a closed source application?

Kind Regards,
Craig

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Re: [Matplotlib-users] Formatting numbers with exponent with matplotlib

[Darren Dale]

On Mon, May 17, 2010 at 6:04 AM, Ralph Kube  wrote:
> Hello folks.
> I am trying to teach pylab to use latex to write numbers with an
> exponent in the plot legend.
> So far my plot labels are formatted with scientific notation, where
> I use the format operate:
>
> import pylab
> ra_list,b = data
> pylab.plot(ra_list,b, label='Ra = ' + "{0:4.2e}".format(ra_list[i]))
> pylab.legend()
> pylab.show()
>
> What I ultimately want is that the exponent shows up as an exponent,
> a la LaTeX style in the legend: $\mathrm{Ra} = 10^6$.
>
> Does anybody know of a way how to do this with pylab?

I suggest having a look at the ScalarFormatter classer in ticker.py.
The feature you are looking for has already been implemented there.

Darren

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[Matplotlib-users] crop white space of image

[Ruben Moor]

Hello,

I plot views of 3D data without axis. The plotting results usually in plenty
of surrounding white space. Is there an easy way to get rid of it (easy
meaning without having to keep track of the spacial extension of my 3D data)
?

Thanks in advance,
Ruben
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[Matplotlib-users] Formatting numbers with exponent with matplotlib

[Ralph Kube]

Hello folks.
I am trying to teach pylab to use latex to write numbers with an
exponent in the plot legend.
So far my plot labels are formatted with scientific notation, where
I use the format operate:

import pylab
ra_list,b = data
pylab.plot(ra_list,b, label='Ra = ' + "{0:4.2e}".format(ra_list[i]))
pylab.legend()
pylab.show()

What I ultimately want is that the exponent shows up as an exponent,
a la LaTeX style in the legend: $\mathrm{Ra} = 10^6$.

Does anybody know of a way how to do this with pylab?
Cheers, Ralph


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