matplotlib-users Mailing List for matplotlib

On 10/7/2008 6:23 PM Michael apparently wrote:
> loop through the data and call clf():

The clf call seems quite wrong:
it flashes horribly and I get good
behavior without it (once I add
a call to sleep).  What am I
missing?

Alan Isaac

PS The following almost works (i.e., works,
but then exits with an error).

import matplotlib.pyplot as plt
from time import sleep
from numpy import zeros

plt.ion()
plt.hold(False)

data = list()
slices = list()
for i in range(5):
     frame = zeros( (200,200) )
     frame[20:40,10*i:10*i+20] = 255
     data.append(frame)

fig1 = plt.figure(1)
ax1 = fig1.gca()
for frame in data:
     plt.imshow(frame, axes=ax1, animated=True)
     sleep(0.2)

John Hunter wrote:
> Unfortunatelym the API for the
> latter has changed somewhat from 0.91 to 0.98, so I hesitate to tell
> advise you to do this with 0.91 since it will break when you upgrade.
>   
Please let me know the instructions as if the version is 0.98. I'll 
upgrade to it soon.

Thanks,
Venkat.

On Wed, Oct 8, 2008 at 6:46 PM, Angus McMorland <am...@gm...> wrote:
> Hi all,
>
> This is just a head's-up for those using debian and who upgrade
> regularly. There's a problem with the latest debian package to hit
> testing: 0.98.1-1, which is currently unusable, throwing up the error:
>
> ImportError: /usr/lib/python2.5/site-packages/matplotlib/nxutils.so:
> undefined symbol: __gxx_personality_v0
>
> It looks like someone has already decided what the appropriate fix is
> (http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=501578&sourceid=mozilla-search).
> Hopefully it'll make it through soon.

You can just install python-matlotlib from unstable, it works fine for me.

Ondrej

On Wed, Oct 8, 2008 at 12:23 PM, Venkat Ramanan <ve...@sr...> wrote:

> for i in p.arange(1,nframes):
>    A=2*p.sin(2*p.pi*(1/float(2*nframes))*i)
>    sindata=A*p.sin(x)
>    line.set_ydata(sindata)  # update the data
>    p.draw()                         # redraw the canvas

The autoscaling infrastructure is not triggered when you manually set
the line data, only when you add a line to the Axes, eg when you call
"plot".  You will need to either manually track this yourself and call
"ax.set_ylim:" to set the ylimits manually, or resuse the matplotlib
datalimits/autoscaling infrastructure.  Unfortunatelym the API for the
latter has changed somewhat from 0.91 to 0.98, so I hesitate to tell
advise you to do this with 0.91 since it will break when you upgrade.

JDH

Hi all,

I'm trying to do a plot which is dynamically updated.

However, the axis limits remain fixed even when the data goes out of the 
current ylim. Is there an easy way to keep the axis limits updated when 
the data gets updated?

I've trivially modified the anim.py example to show the problem. The 
sinusoid test data is updated with varying sinusoidal amplitude.

Using matplotlib 0.91.2

Thanks,
Venkat.

import pylab as p
import time
p.ion()

tstart = time.time()                 # for profiling
x = p.arange(0, 2*p.pi, 0.01)        # x-array
i=0
nframes=100
A=2*p.sin(2*p.pi*(1/float(2*nframes))*i)
sindata=A*p.sin(x+i/10.0)
line, = p.plot(x, sindata)
ax=p.gca()
#ax.set_ylim(-2,2)
p.draw()
for i in p.arange(1,nframes):
    A=2*p.sin(2*p.pi*(1/float(2*nframes))*i)
    sindata=A*p.sin(x)
    line.set_ydata(sindata)  # update the data
    p.draw()                         # redraw the canvas

print 'FPS:' , nframes/(time.time()-tstart)

Hi all,

This is just a head's-up for those using debian and who upgrade
regularly. There's a problem with the latest debian package to hit
testing: 0.98.1-1, which is currently unusable, throwing up the error:

ImportError: /usr/lib/python2.5/site-packages/matplotlib/nxutils.so:
undefined symbol: __gxx_personality_v0

It looks like someone has already decided what the appropriate fix is
(http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=501578&sourceid=mozilla-search).
Hopefully it'll make it through soon.

Angus.
-- 
AJC McMorland
Post-doctoral research fellow
Neurobiology, University of Pittsburgh

On mercredi 08 octobre 2008, John [H2O] wrote:
> Is there an alternative set up in matplotlib 0.98? I've just finished the
> migration and porting my code so that basemap will work properly! Also, I
> would really prefer not to use too many packages as it becomes difficult to
> switch syntax constantly and deal with keeping the installations across
> multiple machines up to date.

  Use mayavi.mlab. See the documentation for mlab at:
http://code.enthought.com/projects/mayavi/docs/development/html/mayavi/mlab.html

  The 3D already looked great with mayavi, but with the (relatively) new mlab 
module, it's _really_ easy to use !

  More links (but the one above should convince you).

https://svn.enthought.com/enthought/wiki/MayaVi
https://svn.enthought.com/enthought/wiki/Mayavi/Gallery	<= screenshots
http://code.enthought.com/projects/mayavi/docs/development/html/mayavi/

  Only possible difficulty is that it's still not readily packaged for all 
linux distributions - I picked the development version (pre-3.0 ?) from svn 
using instructions from:
https://svn.enthought.com/enthought/wiki/Build/ETS_3.0.0b1/Py2.5/Generic_Any_Any



(see https://svn.enthought.com/enthought/wiki/Install before in case there are 
binaries already available for you).

 and it works very, very well.

  Under windows it's part of the Enthought python distribution.

	Vincent
-- 
Vincent Favre-Nicolin

CEA Grenoble/INAC/SP2M			http://inac.cea.fr
Univ. Joseph Fourier (Grenoble) http://www.ujf-grenoble.fr

ObjCryst & Fox			http://objcryst.sf.net/Fox

I was discouraged to read recently on Scipy's Cookbook / Matplotlib / mplot3D
entry:

"The examples below show simple 3D plots using matplotlib. matplotlib's 3D
capabilities were added by incorporating John Porter's mplot3d module, thus
no additional download is required any more, the following examples will run
with an up to date matplotlib installation. Note, this code is not supported
in matplotlib-0.98 and later, so please use the 0.91 maintenance release of
matplotlib if you need this functionality."

Is there an alternative set up in matplotlib 0.98? I've just finished the
migration and porting my code so that basemap will work properly! Also, I
would really prefer not to use too many packages as it becomes difficult to
switch syntax constantly and deal with keeping the installations across
multiple machines up to date.

Advice?

Thanks,
john 
-- 
View this message in context: http://www.nabble.com/Dropped-mplot3d-support--Any-alternative-%21-tp19874545p19874545.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Buchholz, Greg wrote:
>     Is there a way to display more digits on the cursor readout in the 
> lower right hand corner of the plot window?  Right now my setup is only 
> showing three digits to the right of the decimal point, which isn’t 
> enough when I’m zoomed way in.  If that description isn’t good enough to 
> describe what I mean, take a look at the following screenshot:

Something like this (pylab-style example):

def fmt(x):
     return "%10.5f" % x

ax = gca()
ax.fmt_xdata = fmt
ax.fmt_ydata = fmt

If the fmt_xdata and/or fmt_ydata attributes of the axes object are 
callable, they are used to format the cursor readout.

Eric

> 
>  
> 
> http://sleepingsquirrel.org/matplotlib/low-resolution-coords.PNG
> 
>  
> 
> …or maybe I’m looking for a way to trace the individual displayed 
> waveforms with the cursor, like on a digital oscilloscope, to ease in 
> the taking of measurements.  Any thoughts?
> 
>  
> 
> Thanks,
> 
>  
> 
> Greg
> 
>  
> 
> 
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