matplotlib-users Mailing List for matplotlib (Page 9)

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

On Mon, May 17, 2010 at 6:04 AM, Ralph Kube <ral...@go...> 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

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

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

I want to format my graph as in MS-Excel. I don't know what term to use for
this.
It looks like the X-axis has 2 labels on them.
http://old.nabble.com/file/p28579609/omp_parallel.png 
I have showed it in the image that is generated from Excel. I want to have
exactly the same 
using matplotlib.
Can anyone tell me how exactly this can be achieved?
Thanks !
Raj.
-- 
View this message in context: http://old.nabble.com/Formatting-X-axis-tp28579609p28579609.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Thanks, that was helpful.
On Sunday 16 May 2010 02:23:02 pm Eric Firing wrote:
> On 05/16/2010 10:19 AM, Philipp K. Janert wrote:
> > Let's say I am running an interactive session
> > (ipython -pylab), and now issue the following
> > commands:
> >
> > 	x = linspace(0, 10, 100 )
> > 	plot( x, sin(x) )
> > 	ylim( -2, 2 )
> > 	plot( x, cos(x) )
> >
> > Then the second plot command seems to reset
> > the plot limits to [-1,1] - which makes sense for
> > the figure, but is not what I requested.
> >
> > Is this behavior intended? It seems odd to me,
> > since generally matplotlib seems to retain state
> > that has between invocations of plot().
>
> Good question. The control of autoscaling has a somewhat clunky
> interface via Axes methods, and via the plot function. Your two options
> are to follow the ylim call with the ugly
>
> gca().set_autoscaley_on(False)
>
> or to add a kwarg to all subsequent plot calls:
>
> plot(x, cos(x), scaley=False)
>
> A possible mpl improvement would be to add a kwarg to the pyplot.ylim
> and xlim functions, e.g.
>
> ylim(-2, 2, keep=True)
>
> Calling the kwarg "hold" would read better to my eye, but would conflict
> with the use of "hold" to mean "keep all prior plot elements". Maybe
> there is a better name, e.g. setting "auto=False" to mean "don't
> autoscale this on the next plot command". Or "save=True". I suspect we
> would have to leave the default behavior as it is for continuity and
> backwards compatibility, although I think that changing it would be an
> improvement overall.
>
> Eric
>
>
> ---------------------------------------------------------------------------
>---
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On 05/16/2010 10:19 AM, Philipp K. Janert wrote:
>
> Let's say I am running an interactive session
> (ipython -pylab), and now issue the following
> commands:
> 	
> 	x = linspace(0, 10, 100 )
> 	plot( x, sin(x) )
> 	ylim( -2, 2 )
> 	plot( x, cos(x) )
>
> Then the second plot command seems to reset
> the plot limits to [-1,1] - which makes sense for
> the figure, but is not what I requested.
>
> Is this behavior intended? It seems odd to me,
> since generally matplotlib seems to retain state
> that has between invocations of plot().
Good question. The control of autoscaling has a somewhat clunky 
interface via Axes methods, and via the plot function. Your two options 
are to follow the ylim call with the ugly
gca().set_autoscaley_on(False)
or to add a kwarg to all subsequent plot calls:
plot(x, cos(x), scaley=False)
A possible mpl improvement would be to add a kwarg to the pyplot.ylim 
and xlim functions, e.g.
ylim(-2, 2, keep=True)
Calling the kwarg "hold" would read better to my eye, but would conflict 
with the use of "hold" to mean "keep all prior plot elements". Maybe 
there is a better name, e.g. setting "auto=False" to mean "don't 
autoscale this on the next plot command". Or "save=True". I suspect we 
would have to leave the default behavior as it is for continuity and 
backwards compatibility, although I think that changing it would be an 
improvement overall.
Eric

Let's say I am running an interactive session 
(ipython -pylab), and now issue the following
commands:
	
	x = linspace(0, 10, 100 )
	plot( x, sin(x) )
	ylim( -2, 2 )
	plot( x, cos(x) )
Then the second plot command seems to reset
the plot limits to [-1,1] - which makes sense for 
the figure, but is not what I requested.
Is this behavior intended? It seems odd to me,
since generally matplotlib seems to retain state 
that has between invocations of plot().
Best,
		Ph.

 
Assume I am running an interactive session, using
 ipython -pylab
and have added a bunch of curves
 x = linspace(0, 10, 100 )
 plot( x, sin(x) )
 plot( x, cos(x) )
and also added a text label
 text( 1, 1, "Hello" )
But now I decide that I don't want the text anymore.
What's the best way to remove it from the graph?
(Because the graph is complicated I don't just want 
to clf() and start all over - I just want to remove that
one element.)
What I have found is that if I save the object created,
I can invoke its remove() function:
 t =text( 2, 1, "Hello again" )
 t.remove()
 draw()
Is this the best way to do this, or is there another way
(or one that does not require an explicit draw()?). Also,
what if I have failed to save the text instance - do I have
to walk the object tree using findobj()?
Thanks!
Best,
 Ph.

FIY, with the help of Sylvestre Ledru (debian atlas maintainer), the
problem was solved installing libatlas3g-sse*.

Hello,
I am writing a GUI using GTK+ library. I have a question about axes class imshow method memory consumption. If I pass the imshow an array, the resulting memory consuption is approximatelly 40 times greater than the array size. If I do not add the canvas to a window (in a code below), the memory consuption is as expected. Any tips on how to reduce the memory consuption would be very appreciated. 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 0.000000
Thank you,
Tomas.

I notice that the illegal instruction does not occur when the figure
does not contain any axes.
Fabrice

Le vendredi 14 mai 2010 à 10:06 -0400, Michael Droettboom a écrit : 
> Can you get a gdb backtrace?
> 
> (Run "gdb python", then "run name_of_script.py", cause it to crash, and 
> type "bt" in gdb console...)
Here is the backtrace:
 (gdb) run test_plt.py 
 Starting program: /usr/bin/python test_plt.py
 [Thread debugging using libthread_db enabled]
 /usr/lib/pymodules/python2.5/matplotlib/backends/backend_gtk.py:621: DeprecationWarning: Use the new widget gtk.Tooltip
 self.tooltips = gtk.Tooltips()
 
 Program received signal SIGILL, Illegal instruction.
 0xb767b638 in ATL_diamax_xp1yp0aXbX ()
 from /usr/lib/libblas.so.3gf
 (gdb) bt
 #0 0xb767b638 in ATL_diamax_xp1yp0aXbX ()
 from /usr/lib/libblas.so.3gf
 #1 0x00000000 in ?? ()
 (gdb)
Surprisingly, the troubles come from libblas. In fact, I daily update my
debian and, on wednesday, the package libatlas3gf-base has been updated
from 3.8.3-21 to 3.8.3-22. It seems that it had some side-effect on
matplotlib behaviour...
But why does the interpreter crash only when the pointer enters the
figure canvas??
-- 
Fabrice Silva <si...@lm...>
LMA UPR CNRS 7051

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 0.000000
Thank you,
Tomas.

Thanks for your reply.
 >>> m = Basemap(resolution='c',projection='robin', lon_0=-120.)
doesn't have lonmin, lonmax variables. However, when I do
 >>> m(*m(190,0),inverse=1)
(-169.99999999999997, 0.0)
Which implies that the angular domain for longitude is [-180.,180], right?
Thanks!
On 5/13/2010 4:20 PM, Jeff Whitaker wrote:
> On 5/13/10 3:22 PM, Reckoner wrote:
>> How do I know if the angular domain for a map is
>>
>> Longitude \in {0,360}
>>
>> or
>>
>> Longitude \in {-180,180}?
>>
>> Or, for that matter,
>>
>> Latitude \in {-90,90}
>>
>> as opposed to:
>>
>> Latitude \in {0,180}
>>
>> Thanks!
>>
>>
>
> You can query the Basemap instance variables lonmin, lonmax, latmin,
> latmax.
>
> -Jeff
>
>

Can you get a gdb backtrace?
(Run "gdb python", then "run name_of_script.py", cause it to crash, and 
type "bt" in gdb console...)
Mike
Fabrice Silva wrote:
> hi folks,
> even on simple script, matplotlib crashes : 
> fab:$ python
> Python 2.5.5 (r255:77872, Apr 21 2010, 08:44:16) 
> [GCC 4.4.3] on linux2 
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import matplotlib.pyplot as plt
> >>> plt.plot([4,2,8])
> /usr/lib/pymodules/python2.5/matplotlib/backends/backend_gtk.py:621: DeprecationWarning: Use the new widget gtk.Tooltip 
> self.tooltips = gtk.Tooltips()
> [<matplotlib.lines.Line2D object at 0xa02ff4c>]
> >>> plt.show()
> Instruction non permise
>
> The crash occurs when the mouse enters (if previously outside) and moves
> (if previously inside) in the figure.
> I am using debian unstable package (0.99.1-1) and admit I have try to
> manually modify the gtk backend to resolve the ginput bug (due to
> changes in stop_event signature, solved by r8531 but not in debian
> package). Since then the crash occurs automatically. Even a complete
> remove/purge/install of the package does not solve the problem.
>
> Any idea? Matplotlib's developers? Sandro (Debian maintainer) ?
>
> 
-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Some additional details
$ python
Python 2.5.5 (r255:77872, Apr 21 2010, 08:44:16) [GCC 4.4.3] on linux2
>>> import numpy, matplotlib
>>> numpy.__version__, matplotlib.__version__
('1.3.0', '0.99.1.1')
and the output of lsof just before the pointer enters the canvas
-- 
Fabrice Silva

On 5/14/2010 9:03 AM, Matthias Michler wrote:
> ax = fig.add_subplot(111, yscale='log')
>
> or for any other generated axes 'ax'
> ax.set_yscale('log')
>
> 
Somehow I was unaware of this possibility.
Excellent!
Thanks,
Alan

Hi all,
I noticed that the example for the radar chart has only a single scale. Is
there a way to generate a radar plot where each axis has its own scale?
Thanks!
Uri
-- 
Uri Laserson
Graduate Student, Biomedical Engineering
Harvard-MIT Division of Health Sciences and Technology
M +1 917 742 8019
las...@mi...

hi folks,
even on simple script, matplotlib crashes : 
 fab:$ python
 Python 2.5.5 (r255:77872, Apr 21 2010, 08:44:16) 
 [GCC 4.4.3] on linux2 
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import matplotlib.pyplot as plt
 >>> plt.plot([4,2,8])
 /usr/lib/pymodules/python2.5/matplotlib/backends/backend_gtk.py:621: DeprecationWarning: Use the new widget gtk.Tooltip 
 self.tooltips = gtk.Tooltips()
 [<matplotlib.lines.Line2D object at 0xa02ff4c>]
 >>> plt.show()
 Instruction non permise
The crash occurs when the mouse enters (if previously outside) and moves
(if previously inside) in the figure.
I am using debian unstable package (0.99.1-1) and admit I have try to
manually modify the gtk backend to resolve the ginput bug (due to
changes in stop_event signature, solved by r8531 but not in debian
package). Since then the crash occurs automatically. Even a complete
remove/purge/install of the package does not solve the problem.
Any idea? Matplotlib's developers? Sandro (Debian maintainer) ?
-- 
Fabrice Silva
LMA UPR CNRS 7051

On 5/13/10 3:22 PM, Reckoner wrote:
> How do I know if the angular domain for a map is
>
> Longitude \in {0,360}
>
> or
>
> Longitude \in {-180,180}?
>
> Or, for that matter,
>
> Latitude \in {-90,90}
>
> as opposed to:
>
> Latitude \in {0,180}
>
> Thanks!
>
>
You can query the Basemap instance variables lonmin, lonmax, latmin, latmax.
-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-113
Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg

How do I know if the angular domain for a map is
Longitude \in {0,360}
or
Longitude \in {-180,180}?
Or, for that matter,
Latitude \in {-90,90}
as opposed to:
Latitude \in {0,180}
Thanks!

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 = 111111;
print(23456)
plt.plot(range(10))
plot([1,2,3])
show()
print(11111111)
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
= 1222233
y
= [2, 8, 3, 9, 4]
plot(y)
 
zz=
12346
print(44444)
Best Regards
Sandy
 		 	 		 
_________________________________________________________________
Hotmail: Trusted email with Microsoft’s powerful SPAM protection.
https://signup.live.com/signup.aspx?id=60969 

What is the preferred method to do the equivalent of plot_date
with log scaling for the non-date values?
Thanks,
Alan Isaac

Colleagues,
I am trying to follow the http://matplotlib.sourceforge.net/users/pyplot_tutorial.html tutorial with little success. The very first import fails with either 64 or 32-bit python. Any hints I have missed?
$ python
Python 2.6.1 (r261:67515, Feb 11 2010, 00:51:29)
[GCC 4.2.1 (Apple Inc. build 5646)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib.pyplot as plt
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
 File "/Library/Python/2.6/site-packages/matplotlib-0.99.1.1-py2.6-macosx-10.3-fat.egg/matplotlib/pyplot.py", line 6, in <module>
 from matplotlib.figure import Figure, figaspect
 File "/Library/Python/2.6/site-packages/matplotlib-0.99.1.1-py2.6-macosx-10.3-fat.egg/matplotlib/figure.py", line 16, in <module>
 import artist
 File "/Library/Python/2.6/site-packages/matplotlib-0.99.1.1-py2.6-macosx-10.3-fat.egg/matplotlib/artist.py", line 5, in <module>
 from transforms import Bbox, IdentityTransform, TransformedBbox, TransformedPath
 File "/Library/Python/2.6/site-packages/matplotlib-0.99.1.1-py2.6-macosx-10.3-fat.egg/matplotlib/transforms.py", line 34, in <module>
 from matplotlib._path import affine_transform
ImportError: /Library/Python/2.6/site-packages/matplotlib-0.99.1.1-py2.6-macosx-10.3-fat.egg/matplotlib/_path.so: no appropriate 64-bit architecture (see "man python" for running in 32-bit mode)
>>> exit()
$ defaults write com.apple.versioner.python Prefer-32-Bit -bool yes
$ python
Python 2.6.1 (r261:67515, Feb 11 2010, 00:51:29)
[GCC 4.2.1 (Apple Inc. build 5646)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib.pyplot as plt
Bus error
$
Sincerely,
Vlad
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