matplotlib-users Mailing List for matplotlib (Page 10)

As far as I know, there is no user settable attribute. But something
like below will work.
ax = gca()
title("My title")
ax.titleOffsetTrans._t = (0., 10.0/72.) # x, y offset in points/72.
default is (0., 5/72.)
ax.titleOffsetTrans.invalidate()
draw()
Alternatively, you may use
ax.title.set_y(1.1) # y position of the title in the normalized axes
coordinate. default 1.0
-JJ
On Mon, Feb 9, 2009 at 2:08 AM, C M <cmp...@gm...> wrote:
> Is there anything like a title pad, similar to the xaxis.LABELPAD?
> I'd like to see if the plot would look better with the title a bit higher
> off the plot.
>
> Thanks,
> Che
>
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Is there anything like a title pad, similar to the xaxis.LABELPAD?
I'd like to see if the plot would look better with the title a bit higher
off the plot.
Thanks,
Che

Since you call twinx then twiny, you're creating two additional axes, not one.
And I guess this is why labels are drawn twice. You may do
def twin(ax):
 ax2 = ax.figure.add_axes(ax.get_position(True),
 frameon=False)
 ax2.yaxis.tick_right()
 ax2.yaxis.set_label_position('right')
 ax.yaxis.tick_left()
 ax2.xaxis.tick_top()
 ax2.xaxis.set_label_position('top')
 ax.xaxis.tick_bottom()
 return ax2
ax = gca()
ax2 = twin(ax)
ax.scatter([0.4],[0.6])
ax2.scatter([10.],[10.])
draw()
Note that you need to manually adjust the view limits of each axes. If
you use sharex or sharey parameters for the axes, you can share their
view limits (this is how axes is created when twinx and twiny is
called). But then you cannot have different tick locators.
In case you need an axes with a same viewlimit as the original one but
just want to place ticks at different position, you may check my
related post.
http://sourceforge.net/mailarchive/forum.php?thread_name=4985DED6.90108%40head.cfa.harvard.edu&forum_name=matplotlib-users
-JJ
On Sun, Feb 8, 2009 at 5:07 PM, Thomas Robitaille
<tho...@gm...> wrote:
> Hi everyone,
>
> I am plotting a figure where I need two independent x axes and two
> independent y axes. I've tried to use both twinx and twiny at the
> same time, and this works to some extent, but it looks like it is
> plotting the labels for the bottom x axis and the right-hand y axis
> twice, which makes me think that I must be doing something wrong (the
> numbers appear more 'bold'). The code is below. Is there a better way
> to do this?
>
> In reality, I don't need a different scale for the opposite axes, but
> I want to specify different Locator functions, but I assume that
> creating a new axes instance as done below is the only way to do this?
>
> Thanks for any advice,
>
> Thomas
>
> ###
> fig = figure()
> ax = fig.add_subplot(111)
> ax2 = ax.twinx().twiny()
> for tick in ax.yaxis.get_major_ticks():
> tick.label1On = True
> tick.label2On = False
> tick.tick1On = True
> tick.tick2On = False
> for tick in ax.xaxis.get_major_ticks():
> tick.label1On = True
> tick.label2On = False
> tick.tick1On = True
> tick.tick2On = False
> for tick in ax2.yaxis.get_major_ticks():
> tick.label1On = False
> tick.label2On = True
> tick.tick1On = False
> tick.tick2On = True
> for tick in ax2.xaxis.get_major_ticks():
> tick.label1On = False
> tick.label2On = True
> tick.tick1On = False
> tick.tick2On = True
> ax.scatter([0.4],[0.6])
> ax2.scatter([10.],[10.])
> draw()
> ###
>
>
> ------------------------------------------------------------------------------
> Create and Deploy Rich Internet Apps outside the browser with Adobe(R)AIR(TM)
> software. With Adobe AIR, Ajax developers can use existing skills and code to
> build responsive, highly engaging applications that combine the power of local
> resources and data with the reach of the web. Download the Adobe AIR SDK and
> Ajax docs to start building applications today-http://p.sf.net/sfu/adobe-com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,
Did anyone have any insight on this? Alternatively, anyone know why there
has been little uptake on this question ...(apologies that it was
accidentally sent twice)?
Leo
On Tue, Feb 3, 2009 at 11:42 PM, Leo Trottier <le...@co...> wrote:
> Matplotlib 0.98.5.2
> Location: C:\leo\.matplotlib
> Running Windows XP SP2
> Obtained from pythonxy v. 2.1.10
> No rc customizations ...
>
> I've been having a devil of a time getting my rcParams to update
> mid-script. Perhaps this isn't possible, but if that's so, it's not
> entirely clear. Even if it is so, this is seemingly a defect, because in an
> interactive session one expects quite different behavior (and no amount of
> iPython %reset-ing seems to be able to help).
>
> Note that manually setting the font (or what have you) in *title* works
> fine.
>
> Here is some example code:
>
> ############## BEGIN #########
> import matplotlib
> from matplotlib import rc, rcParams, rcdefaults
> from matplotlib.pyplot import plot, show, figure, title
>
> print matplotlib.__version__
> print matplotlib.get_configdir()
> print
> print "rcParams['font.sans-serif']:", rcParams['font.sans-serif']
> print 'family is:', rcParams['font.family']
> print
> figure(4)
> title('This should be in a sans-serif font')
> show()
>
> rcParams['font.sans-serif'] = rcParams['font.monospace']
> print "rcParams['font.sans-serif']:", rcParams['font.sans-serif']
> print 'family is:', rcParams['font.family']
> print
> figure(1)
> title('This should be in a monospace font')
> show()
>
> rcParams['font.sans-serif'] = rcParams['font.serif']
> print "rcParams['font.sans-serif']:", rcParams['font.sans-serif']
> print 'family is:', rcParams['font.family']
> print
> figure(2)
> title('This should be in a serif font')
> show()
>
> rcdefaults()
> print "rcParams['font.sans-serif']:", rcParams['font.sans-serif']
> print 'family is:', rcParams['font.family']
> print
> figure(3)
> title('This should be back to a sans-serif font')
> show()
> ######### END ####################
>

Sure. Just send me a note when the src is ready.
- Charlie
On Sun, Feb 8, 2009 at 3:46 PM, John Hunter <jd...@gm...> wrote:
> We have accumulated a number of bug fixes in our stable release
> branch, so I would like to release the 3rd bugfix release. Please
> test and report any problems
>
> http://matplotlib.sourceforge.net/release-candidates/matplotlib-0.98.5.3.tar.gz
>
> Charlie, will you have any time early next week for the windows
> builds? I can handle the OSX and src release.
>
> Thanks,
> JDH
>

Hi everyone,
I am plotting a figure where I need two independent x axes and two 
independent y axes. I've tried to use both twinx and twiny at the 
same time, and this works to some extent, but it looks like it is 
plotting the labels for the bottom x axis and the right-hand y axis 
twice, which makes me think that I must be doing something wrong (the 
numbers appear more 'bold'). The code is below. Is there a better way 
to do this?
In reality, I don't need a different scale for the opposite axes, but 
I want to specify different Locator functions, but I assume that 
creating a new axes instance as done below is the only way to do this?
Thanks for any advice,
Thomas
###
fig = figure()
ax = fig.add_subplot(111)
ax2 = ax.twinx().twiny()
for tick in ax.yaxis.get_major_ticks():
	tick.label1On = True
	tick.label2On = False
	tick.tick1On = True
	tick.tick2On = False
for tick in ax.xaxis.get_major_ticks():
	tick.label1On = True
	tick.label2On = False
	tick.tick1On = True
	tick.tick2On = False
for tick in ax2.yaxis.get_major_ticks():
	tick.label1On = False
	tick.label2On = True
	tick.tick1On = False
	tick.tick2On = True
for tick in ax2.xaxis.get_major_ticks():
	tick.label1On = False
	tick.label2On = True
	tick.tick1On = False
	tick.tick2On = True
ax.scatter([0.4],[0.6])
ax2.scatter([10.],[10.])
draw()
###

We have accumulated a number of bug fixes in our stable release
branch, so I would like to release the 3rd bugfix release. Please
test and report any problems
 http://matplotlib.sourceforge.net/release-candidates/matplotlib-0.98.5.3.tar.gz
Charlie, will you have any time early next week for the windows
builds? I can handle the OSX and src release.
Thanks,
JDH

Never mind - I just saw the very timely e-mail from Jouni.
Thanks!
On Sun, 8 Feb 2009 14:16:59 -0600
Alan Jackson <al...@aj...> wrote:
> Trying to find a simple way to shrink the tick labels for this plot -
> since I can have many tiny histograms, the labels need to be smaller,
> but it isn't obvious to me how to simply shrink them.
> 
> code snippet...
> 
> num = len(datasets)
> fig = plt.figure()
> rows = np.int(np.sqrt(num))
> cols = np.int(float(num)/float(rows)+.9)
> for i in range(num):
> ax = fig.add_subplot(rows, cols, i+1)
> ax.hist(datasets[i][np.isfinite(datasets[i])], bins=60 )
> ax.set_xlabel(labels[i], size = 9)
> ax.set_ylabel('Counts', size = 9)
> plt.show()
> 
> 
> -- 
> -----------------------------------------------------------------------
> | Alan K. Jackson | To see a World in a Grain of Sand |
> | al...@aj... | And a Heaven in a Wild Flower, |
> | www.ajackson.org | Hold Infinity in the palm of your hand |
> | Houston, Texas | And Eternity in an hour. - Blake |
> -----------------------------------------------------------------------
> 
> ------------------------------------------------------------------------------
> Create and Deploy Rich Internet Apps outside the browser with Adobe(R)AIR(TM)
> software. With Adobe AIR, Ajax developers can use existing skills and code to
> build responsive, highly engaging applications that combine the power of local
> resources and data with the reach of the web. Download the Adobe AIR SDK and
> Ajax docs to start building applications today-http://p.sf.net/sfu/adobe-com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
-----------------------------------------------------------------------
| Alan K. Jackson | To see a World in a Grain of Sand |
| al...@aj... | And a Heaven in a Wild Flower, |
| www.ajackson.org | Hold Infinity in the palm of your hand |
| Houston, Texas | And Eternity in an hour. - Blake |
-----------------------------------------------------------------------

Trying to find a simple way to shrink the tick labels for this plot -
since I can have many tiny histograms, the labels need to be smaller,
but it isn't obvious to me how to simply shrink them.
code snippet...
num = len(datasets)
fig = plt.figure()
rows = np.int(np.sqrt(num))
cols = np.int(float(num)/float(rows)+.9)
for i in range(num):
 ax = fig.add_subplot(rows, cols, i+1)
 ax.hist(datasets[i][np.isfinite(datasets[i])], bins=60 )
 ax.set_xlabel(labels[i], size = 9)
 ax.set_ylabel('Counts', size = 9)
plt.show()
-- 
-----------------------------------------------------------------------
| Alan K. Jackson | To see a World in a Grain of Sand |
| al...@aj... | And a Heaven in a Wild Flower, |
| www.ajackson.org | Hold Infinity in the palm of your hand |
| Houston, Texas | And Eternity in an hour. - Blake |
-----------------------------------------------------------------------

A B <pyt...@gm...> writes:
> f = pyplot.figure()
When you do this, matplotlib retains a reference to the figure until you
close it so that you can go back to it with e.g. figure(4). So add
pyplot.close(f) to your script. Or, even better, use the object-oriented
API. To get started with that, see
http://matplotlib.sourceforge.net/leftwich_tut.txt
-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Hi,
Following is my post to the Django mailing list from yesterday. The response
was that Django isn't known to leak memory so there should be something off
with matplotlib or rather that way I am using it.
Hopefully someone here could comment on what could be causing the leaks.
Thanks in advance.
----
I am using matplotlib/pyplot on my site to dynamically generate PNG
plots. And I am experiencing dramatic memory leaks. Within 10-15
hits, my Apache process grows from 15-20M to 100M.
I am using Django 1.0.2-final, Apache 2.2.1, Python 2.4.3, matplotlib
0.98.5.2. The leak happens under both Apache (with mod_wsgi 2.3) and
the development server. My OS is RHEL5.
Below is a simple code snippet that causes the leak. Please let me
know if I am doing something wrong or if there is a better way to
write this. Thanks.
from matplotlib import pyplot
def test_graph (request):
 f = pyplot.figure()
 ax = f.add_subplot(111)
 ax.plot([1,2,3])
 ax.fill_between([1,2,3],[1,2,3],[1.1,2.1,3.1])
 ax.grid(True)
 ax.legend(['hello'],
 'upper right', shadow=True, fancybox=True)
 ax.set_xlabel('Time')
 ax.set_ylabel('Value ')
 f.text(.5, 0.93, 'my title', horizontalalignment='center')
 response = HttpResponse(content_type='image/png')
### both ways causes a leak
 f.savefig( response, format = 'png' )
OR
 canvas = FigureCanvas(f)
 canvas.print_png(response)
 canvas = None
 ax = None
 f = None
 return response

Hi all,
I have noticed a funny behaviour when using twinx to do two plots on the
same axes: the xticklabels are printed twice, once for each axes. This
shows up as slightly thicker labels than for a single axes. It is
particularly visible for ps or pdf output, but can be seen also in an
interactive session.
I can also see this in the figure shown for the two_scales.py example
(http://matplotlib.sourceforge.net/_images/two_scales.png), where the
xticklabels are thicker than the yticklabels (though it is not so
apparent due to different colours. I therefore assume it is not just my
installation. (Adding
for tl in ax2.get_xticklabels():
 tl.set_fontsize(16)
just before the last plt.show() in two_scales.py makes it even more
visible)
Does anyone know of a reasonable work-around? Surely it is not the
intended behaviour?
Thanks for any help,
Christoffer Åberg

On Fri, Feb 6, 2009 at 5:13 AM, Rezwan <rez...@gm...> wrote:
>
> Hi
> I am developing a plotting tool using matplotlib and wxpython as backend. I
> have separate thread for iperf and it creates a text file every time I want
> to create this thread and this thread finish it's task once it reach the
> duration(defined by the user). Plot and some text boxes are updated reading
> this text file every second once I press plot button. My problem is
> matplotlib keeps the old data and impose new data on the same plot. I am
> using cla function to clear the axes but how can I clear set_data for every
> new plot. What I want is to initialize set_data. Anyone here to tell me how
> can I do that? Hope my post makes sense. If not I will post with some
> snippets of my tool.
>
You will need to post some example code before we can really help, but
the best way to do this is not via cla, but by storing the line
instance and calling set_data on it
 line, = ax.plot(x, y)
and then later
 line.set_data(newx, newy)
 line.axes.figure.canvas.draw()
If you are getting overplotting, it sounds like you are making
additional calls to plot that you are overlooking.
JDH

On Fri, Feb 6, 2009 at 8:34 AM, Gary Ruben <gr...@bi...> wrote:
> Hi all,
>
> I've attached a candidate imsave() to complement imread() in the image.py
> module. Would my use of pyplot instead of the oo interface preclude its
> inclusion in image.py? Also, I noticed some problems when I ran the tests
> with the Wx backends with mpl 0.98.5.2 in Win32. Both of the Wx backends
> produce incorrect, but different, results.
Yes, if it imports pyplot, we can't put it in the image module. But
you can easily rewrite your function to use the Agg backend as in
 http://matplotlib.sourceforge.net/examples/api/agg_oo.html
the agg backend will detect other extensions, like png, pdf, svg or ps
and do the right thing. So if you'd like to resubmit this as an svn
patch that doesn't use pyplot, I think it would be a useful addition.
 http://matplotlib.sourceforge.net/faq/howto_faq.html#contributing-howto
JDH

Eli Bressert wrote:
> Hi Everyone,
> 
> Looks like I may have run into a bug for the contourf function. I was 
> able to reproduce the problem on two OS X systems. One was based on 
> 10.5 and the other was on 10.4. The problem appears when you use 
> contourf with alpha < 1. With the transparency there appears to be 
> streaks of lines pointing downward from the contour lines. Is this a 
> bug that has been spotted before? Additional information is provided 
> below with a python script to reproduce the problem.
> 
> Note, this bug was reproduced with a range of different parameters and 
> input values. The script is the easiest way to reproduce the problem.
It is partly inherent in the underlying contouring algorithm, and I 
think partly reflecting a common characteristic of renderers. On my 
ubuntu box, the problem shows up in agg, pdf or ps shown with evince, 
but *not* in svg rendered by eog.
The part inherent in the contouring algorithm is that all patches are 
simply connected--the algorithm does not make annular patches, for 
example--so there is a vertical cut. With alpha < 1, that cut, and for 
that matter the boundary between one patch and the next, seem to be 
effectively rendered twice. The contour code is already specifying that 
the patch should be rendered without a boundary, so I don't know what 
else can be done.
Eric
> 
> Cheers,
> 
> Eli
> 
> 
> 
> Mac OSX Darwin Kernel Version 9.5.0 (Leopard 10.5.5)
> 
> Matplotlib version: 0.98.3
> 
> Matplotlib was installed via EPD, version Py2.5 4.1.30101 i386
> 
> Code to show bug:
> Most of the python code was borrowed from the Matplotlib examples
> http://matplotlib.sourceforge.net/examples/pylab_examples/contour_demo.html?highlight=contours
> 
> ###### Begin Python Code #######
> import matplotlib
> import numpy as np
> import matplotlib.cm as cm
> import matplotlib.mlab as mlab
> import matplotlib.pyplot as plt
> 
> delta = 0.025
> x = np.arange(-3.0, 3.0, delta)
> y = np.arange(-2.0, 2.0, delta)
> X, Y = np.meshgrid(x, y)
> Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
> Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
> Z = 10.0 * (Z2 - Z1)
> 
> plt.figure()
> CS = plt.contourf(X, Y, Z,alpha = 0.7)
> ###### End Python Code #######
> 
> 
> 
> 
> 
> 
> 
> 
> 
> ------------------------------------------------------------------------------
> Create and Deploy Rich Internet Apps outside the browser with Adobe(R)AIR(TM)
> software. With Adobe AIR, Ajax developers can use existing skills and code to
> build responsive, highly engaging applications that combine the power of local
> resources and data with the reach of the web. Download the Adobe AIR SDK and
> Ajax docs to start building applications today-http://p.sf.net/sfu/adobe-com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi Everyone,
Looks like I may have run into a bug for the contourf function. I was 
able to reproduce the problem on two OS X systems. One was based on 
10.5 and the other was on 10.4. The problem appears when you use 
contourf with alpha < 1. With the transparency there appears to be 
streaks of lines pointing downward from the contour lines. Is this a 
bug that has been spotted before? Additional information is provided 
below with a python script to reproduce the problem.
Note, this bug was reproduced with a range of different parameters and 
input values. The script is the easiest way to reproduce the problem.
Cheers,
Eli
Mac OSX Darwin Kernel Version 9.5.0 (Leopard 10.5.5)
Matplotlib version: 0.98.3
Matplotlib was installed via EPD, version Py2.5 4.1.30101 i386
Code to show bug:
Most of the python code was borrowed from the Matplotlib examples
http://matplotlib.sourceforge.net/examples/pylab_examples/contour_demo.html?highlight=contours
###### Begin Python Code #######
import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = 10.0 * (Z2 - Z1)
plt.figure()
CS = plt.contourf(X, Y, Z,alpha = 0.7)
###### End Python Code #######

On Fri, Feb 6, 2009 at 1:10 PM, John Hunter <jd...@gm...> wrote:
> On Fri, Feb 6, 2009 at 10:56 AM, Ryan May <rm...@gm...> wrote:
> > Lionel Roubeyrie wrote:
> >> You're right, it's the chaco's zooming plot, I confused.
> >> Is there a way to have this render with matplotlib?
> >
> > The event_handling/zoom_window.py example is kind of similar and might
> give some
> > clues of where to go. But no, I don't know of a straight-forward version
> of
> > chaco's example using matplotlib. Patches are accepted. :)
>
> The following example is pretty close to what you want I think --
> select a span in the upper axes to see the zoom in the lower:
>
> http://matplotlib.sourceforge.net/examples/widgets/span_selector.html
>
>
You know, in the back of my mind I just knew I was wrong, but had forgotten
about this one. Thanks for jogging my memory.
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

On Fri, Feb 6, 2009 at 10:56 AM, Ryan May <rm...@gm...> wrote:
> Lionel Roubeyrie wrote:
>> You're right, it's the chaco's zooming plot, I confused.
>> Is there a way to have this render with matplotlib?
>
> The event_handling/zoom_window.py example is kind of similar and might give some
> clues of where to go. But no, I don't know of a straight-forward version of
> chaco's example using matplotlib. Patches are accepted. :)
The following example is pretty close to what you want I think --
select a span in the upper axes to see the zoom in the lower:
http://matplotlib.sourceforge.net/examples/widgets/span_selector.html
JDH

On Feb 6, 2009, at 8:45 AM, Zunbeltz Izaola wrote:
> Dear all,
>
> I would like to have a plot where the frame only have left and
> bottom border. I can not find in the documentation any function to 
> draw
> the Rectangle contained in figure() only with this 2 lines. It is
> possilbe?
Hi Zunbeltz,
Attached is an example of a custom Axes class that does what you want. 
There are examples at the bottom of the file that show its use. I 
worked on generalizing this idea for inclusion in MPL, but the code 
got really nasty, really quickly.
On a side note, if any of the MPL devs think this would make a useful 
API example (since this topic has come up a few times on the list), 
feel free to do whatever you want with it.
Cheers,
-Tony

Lionel Roubeyrie wrote:
> You're right, it's the chaco's zooming plot, I confused.
> Is there a way to have this render with matplotlib?
The event_handling/zoom_window.py example is kind of similar and might give some
clues of where to go. But no, I don't know of a straight-forward version of
chaco's example using matplotlib. Patches are accepted. :)
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

Hi all,
I've attached a candidate imsave() to complement imread() in the 
image.py module. Would my use of pyplot instead of the oo interface 
preclude its inclusion in image.py? Also, I noticed some problems when I 
ran the tests with the Wx backends with mpl 0.98.5.2 in Win32. Both of 
the Wx backends produce incorrect, but different, results.
Gary R.

Dear all,
I would like to have a plot where the frame only have left and 
bottom border. I can not find in the documentation any function to draw
the Rectangle contained in figure() only with this 2 lines. It is
possilbe?
Regards,
Zunbeltz
-- 
Dr. Zunbeltz Izaola
Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
Methods and Instruments (SF1)
Glienicker Str. 100
D-14109 Berlin
Tel (030) 8062-3179 
Fax (030) 8062-2523 
Room A 349 

You're right, it's the chaco's zooming plot, I confused.
Is there a way to have this render with matplotlib?
Le jeudi 05 février 2009 à 10:41 -0600, Ryan May a écrit :
> Lionel Roubeyrie wrote:
> > Hi all,
> > On the matplotlib website I can't find an "old" example code showing a
> > figure with two vertical plots, where the second represents a "zoom" of
> > some selected datas in a rectangle of the first axis, and between the
> > two axis there was a trapezoid.
> > If someone has this code, I'll be happy to get it :)
> > Thanks
> 
> I don't remember a demo like that in matplotlib, but I do remember such a demo
> for Chaco2.
> 
> Ryan
> 
-- 
Lionel Roubeyrie
chargé d'études
LIMAIR - La Surveillance de l'Air en Limousin
http://www.limair.asso.fr

Hi
I am developing a plotting tool using matplotlib and wxpython as backend. I
have separate thread for iperf and it creates a text file every time I want
to create this thread and this thread finish it's task once it reach the
duration(defined by the user). Plot and some text boxes are updated reading
this text file every second once I press plot button. My problem is
matplotlib keeps the old data and impose new data on the same plot. I am
using cla function to clear the axes but how can I clear set_data for every
new plot. What I want is to initialize set_data. Anyone here to tell me how
can I do that? Hope my post makes sense. If not I will post with some
snippets of my tool.
Cheers!
Rezwan
-- 
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Jeff et al:
I submitted a bug report about universal newline support in the gzip 
module. It's been fixed. Much thanks to Skip Montanaro:
http://bugs.python.org/issue5148
I have no idea if this issue exists in the zip module and/or py3k, but 
it's a start.
Of course, we can't count in it for ages, as we need MPL to work on 
older versions of Python, but it's a step in the right direction.
-Chris
-- 
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/OR&R (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
Chr...@no...