matplotlib-users Mailing List for matplotlib (Page 1417)

>>>>> "FP" == Fernando Perez <Fer...@co...> writes:

    FP> The code already works fairly well, with one significant
    FP> caveat: any process started via os.system() (whether directly
    FP> or implicitly using !cmd) will hang after a while.  I have
    FP> currently no solution for this, but will welcome any ideas.
    FP> Note that the problem seems to only affect long-running GUI
    FP> apps, simple '!grep foo *' type things appear to function just
    FP> fine.  But something like '!gv foo.eps &' will open gv, and
    FP> after about 30 seconds the gv instance stops responding to all
    FP> keyboard/mouse input.

You probably already have tried this but how about using
os.spawnl(...).  Here a simple use case:

 pid = os.spawnl(os.P_NOWAIT, script, script)

cheers,
prabhu

Hi all,

after help and discussions with John, I'm putting up AS ALPHA CODE, a small 
script which will load ipython in a multithreaded mode which allows it to run 
GTK gui apps, and in particular matplotlib with the GTK backends.

Please note that using this requires at the moment _both_ CVS ipython and CVS 
matplotlib, since John and I have worked in conjunction to make the necessary 
changes.

The code already works fairly well, with one significant caveat: any process 
started via os.system() (whether directly or implicitly using !cmd) will hang 
after a while.  I have currently no solution for this, but will welcome any 
ideas.  Note that the problem seems to only affect long-running GUI apps, 
simple '!grep foo *' type things appear to function just fine.  But something 
like '!gv foo.eps &' will open gv, and after about 30 seconds the gv instance 
stops responding to all keyboard/mouse input.

Debugging multithreaded code is _very_ tricky, but this tool may prove useful 
to many who want the interactive convenience of ipython combined with the 
better matplotlib backends, or other GTK apps.  All feedback from willing 
testers will be very welcome.

Note that those wanting to use matplotlib interactively, and willng to stick 
to the Tk backends, can already do so.  Tk does not require manual threading 
control, so it works perfectly OK with normal ipython.  John already posted in 
the past a 'pylab' ipython profile which loads and configures matplotlib for 
such use, I can repost it if necessary.

This will become part of ipython 0.6.3, but I want to try to resolve the 
os.system() deadlock first.  Since both John and I are complete ignoramuses on 
threading issues, help from anyone with knowledge on the topic is most welcome.

If you don't want to update to CVS ipython/matplotlib but think you may have 
an idea, you can use this small shell for tests:

http://amath.colorado.edu/faculty/fperez/tmp/pyint-gtk.py

It provides a basic multithreaded shell as a standalone python script (no 
matplotlib or ipython needed), and will show the os.system() deadlock problem.

Many thanks in advance for any feedback, and to John for all the help on this. 
  We (I assume I speak for both John and I here :) hope you all find it useful.

Best,

f

I second that. This is:

- a great library and 
- an even better community
- and above all built on a langauge that I love



--- Darren Dale <dd...@co...> wrote:

> I wanted to share a story. We are running our
> experiment at the 
> synchrotron, which now includes a digital camera for
> X-rays. We take a 
> LOT of pictures. Yesterday, the guys realized they
> had no way to follow 
> the progress of the experiment, because they didnt
> have a good way to 
> look at these pictures as they are being created. We
> would be running blind.
> 
> In a couple hours, I hacked together a working
> program. Mostly, I 
> modified bits of your examples, specifically
> dynamic_image_wxagg, plus 
> coords and a few others, and learned some things
> about wx along the way. 
> The matplotlib event handling is great, I am putting
> it to good use. 
> People in the lab are really impressed with the
> quality of the plots, 
> and how quickly the code came together, both of
> which I attribute to 
> your work. Thank you.
> 
> Darren
> 
> 
> 
>
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> 

I wanted to share a story. We are running our experiment at the 
synchrotron, which now includes a digital camera for X-rays. We take a 
LOT of pictures. Yesterday, the guys realized they had no way to follow 
the progress of the experiment, because they didnt have a good way to 
look at these pictures as they are being created. We would be running blind.

In a couple hours, I hacked together a working program. Mostly, I 
modified bits of your examples, specifically dynamic_image_wxagg, plus 
coords and a few others, and learned some things about wx along the way. 
The matplotlib event handling is great, I am putting it to good use. 
People in the lab are really impressed with the quality of the plots, 
and how quickly the code came together, both of which I attribute to 
your work. Thank you.

Darren

>>>>> "Darren" == Darren Dale <dd...@co...> writes:

    Darren> Hi All, My research group submitted a paper for
    Darren> publication in a journal, and one of the requested changes
    Darren> was having the tick-marks formatted like $1x10^{-4}$ (for
    Darren> the latex-ers out there) rather than 1e-4, which was
    Darren> considered an unnecessary use of mathematical jargon. I
    Darren> wasn't the lead author on this particular paper, and
    Darren> therefore the plots were not created using Python and
    Darren> MPL. But I think this is a pretty standard formatting
    Darren> requirement in the scientific community. Would the
    Darren> creators of Matplotlib consider an option to format the
    Darren> ticks like this (does this capability exist and I havent
    Darren> found it yet)?

Yes, this would be nice.  Of course, you can manually format the ticks
using mathtext, eg, 

    from matplotlib.matlab import *

    rc('tick', labelsize=15)

    a=[8E8,10E8, 15E8]
    plot(a,a)

    ticks = arange(8,16)
    labels = ['$%d^{8}$'%val for val in ticks]
    set(gca(), xticks=ticks*1e8, yticks=ticks*1e8,
               xticklabels=labels, yticklabels=labels)

    show()

but it would be nice to provide some automatic facilities for this.

    Darren> In Matlab, when the tick labels require scientific
    Darren> notation, only the decimal component is listed in each
    Darren> tick label, and the exponential part is printed at the end
    Darren> of the axis. In Igor, the exponential part can be included
    Darren> in the y-axis label. Finally, one problem with formatting
    Darren> tick labels is how to deal with data spanning small
    Darren> ranges, but with large offsets, like
    Darren> array(range(10))+1e10. Maybe there is an interest in
    Darren> removing the offset from each tick label, and including it
    Darren> elsewhere in the figure? Then again, maybe that's getting
    Darren> too complicated.

This would definitely be a nice feature.  It would require a little
architectural change in the formatter.  Basically the formatter would
need to provide an additional method, eg get_offset, which would
return None (the current default) or a string like '$10^{-23}$.  The
axis, which calls the formatter, could check this value, and if not
None, render it to the proper place (eg left of x axis).  I could help
you with this part.  Below I'll include a script example showing how
to plot a tick offset which you can currently use for figures.
Basically, we'd just want to automate something along these lines.

    Darren> Is this attractive to the Matplotlib Gurus and Users? If
    Darren> so, is it something I could work on, or would it be best
    Darren> left to the masters?

There's only one path to becoming a master, of course, which is to
dive in.  It would be great if you work on this.  Getting ticking
right is pretty hard since there are so many pathological cases out
there.  But it looks like you work with that kind of data so you'll be
in a good position to find and fix the problem spots.  I think you
should take two approaches: 1) clean up the existing Locators and
Formatters when you find bugs and 2) define some new ones.  It
shouldn't be too hard to define a new formatter that does the mathtext
formatting for exponential ticking you've alluded to above.

The only (minor) downside to doing mathtext formatting is that the
font is likely different than non-mathtext on your figure.  There are
two ways to solve this: use the cmr font as the default for the entire
figure or better, support mathtext layout (super/subscripting) for any
font.  Right now we use the computer modern fonts for mathtext because
they have all the symbols, but there is no reason (other than time)
that we can't use the mathtext layout algorithms for
super/subscripting of non symbol fonts.  


Let me know how I can help...

JDH

# use an exponential tick offset
from matplotlib.matlab import *

rc('tick', labelsize=12)

a=[8E8,10E8, 15E8]
plot(a,a)

ticks = arange(8,16)
labels = ['%d'%val for val in ticks]

# place the offset in axes coords
t = text(-.075, -.075, r'$10^{8}\times$',
         transform=gca().transAxes,
         fontsize=14)
t.set_clip_on(False)

set(gca(), xticks=ticks*1e8, yticks=ticks*1e8,
    xticklabels=labels, yticklabels=labels)


show()

Hi All,

My research group submitted a paper for publication in a journal, and 
one of the requested changes was having the tick-marks formatted like 
$1x10^{-4}$ (for the latex-ers out there) rather than 1e-4, which was 
considered an unnecessary use of mathematical jargon. I wasn't the lead 
author on this particular paper, and therefore the plots were not 
created using Python and MPL. But I think this is a pretty standard 
formatting requirement in the scientific community. Would the creators 
of Matplotlib consider an option to format the ticks like this (does 
this capability exist and I havent found it yet)?

In Matlab, when the tick labels require scientific notation, only the 
decimal component is listed in each tick label, and the exponential part 
is printed at the end of the axis. In Igor, the exponential part can be 
included in the y-axis label. Finally, one problem with formatting tick 
labels is how to deal with data spanning small ranges, but with large 
offsets, like array(range(10))+1e10. Maybe there is an interest in 
removing the offset from each tick label, and including it elsewhere in 
the figure? Then again, maybe that's getting too complicated.

Is this attractive to the Matplotlib Gurus and Users? If so, is it 
something I could work on, or would it be best left to the masters?

Darren

> -----Original Message-----
> From: John Hunter [mailto:jdh...@ni...]
> Sent: Thursday, August 12, 2004 AM 8:49
> To: Shin
> Cc: matplotlib-users
> Subject: Re: [Matplotlib-users] better axis command?
>
>
>
> This is certainly easy enough  - does matlab also support
>
>     >> axis([-inf, 5, 0, 10]).
>
> in which case on the lower xlim is set automatically and the upper
> xlim is 5?

Yes. In my opinion, Using None is better than inf
because inf should be imported seperately in numarray
(from numarray.ieeespecial import nan, inf).

> I didn't know matlab had them :-( I'll add them.  In the meantime:
>

The xlim and ylim are ones I frequently use to adjust axis ranges.
I am quite sure many users will like the addition.
Note that xlim and ylim change only one axis without touching other axes,
such as automatic scaling.
Glad to contribute something to Matplotlib. Thanks for your effort.

Daehyok Shin

>>>>> "Shin" == Shin  <sd...@em...> writes:

    Shin> As you know, in MATLAB, axis([-inf inf 0 10]) means that the
    Shin> range of x-axis is determined automatically while the range
    Shin> of y-axis is set manually to the range from 0 to 10.

    Shin> In current Matplotlib, it seems there is no support for that
    Shin> kind of partial range setting.  If so, how about adding a
    Shin> little intelligence on the axis function, like

    >>>> axis([None, None, 0, 10]).

This is certainly easy enough  - does matlab also support

    >> axis([-inf, 5, 0, 10]).

in which case on the lower xlim is set automatically and the upper
xlim is 5?

    Shin> And, any specific reason there is no xlim or ylim function?

I didn't know matlab had them :-( I'll add them.  In the meantime:

  ax.set_xlim((xmin, xmax))

or 
  
  set(gca(), 'xlim', (xmin, xmax))

or 

  set(ax, xlim=(xmin, xmax))

and so on ...


    Shin> -- Daehyok Shin (Peter) Geography Department Univ. of North
    Shin> Carolina-Chapel Hill



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As you know, in MATLAB, axis([-inf inf 0 10]) means that
the range of x-axis is determined automatically while
the range of y-axis is set manually to the range from 0 to 10.

In current Matplotlib, it seems there is no support for that kind of
partial range setting.
If so, how about adding a little intelligence on the axis function, like

>>> axis([None, None, 0, 10]).

And, any specific reason there is no xlim or ylim function?

-- 
Daehyok Shin (Peter)
Geography Department
Univ. of North Carolina-Chapel Hill

>>>>> "James" == James Boyle <bo...@ll...> writes:

    James> In the following code I attempt to plot right and left
    James> yaxis labels each with its own color. The left axis comes
    James> out OK - red, medium The right axis comes out the default.
    James> I have tried everything I could think of (admittedly not
    James> much) to alter any property of the right labels and have
    James> had no success - How do I alter the right axis label
    James> properties in the example below???  thanks for any help.

Hi Jim,

Avoiding for now the question of what the proper interface should be
for accessing the left and right (or top and bottom) tick properties
in general, here's a quick fix that will give you access to all of the
tick labels for a give axis

In matplotlib.axis.py, replace the get_ticklabels method with 

    def get_ticklabels(self):
        'Return a list of Text instances for ticklabels'
        labels1 = [tick.label1 for tick in self.get_major_ticks() if tick.label1On]
        labels2 = [tick.label2 for tick in self.get_major_ticks() if tick.label2On]
        return labels1+labels2

The current behavior was to just return the label1 instances (left for
xaxis, bottom for yaxis).

Perhaps the best solution is to add an optional arg to all the
get_tick* methods

    labels = ax.get_xticklabels()        # get all
    labels = ax.get_xticklabels('left')  # get left labels
    labels = ax.get_xticklabels('right') # get right labels

and so on for get_xticks, get_xticklines and the y and set* analogs.

JDH

In the following code I attempt to plot  right and left yaxis labels 
each with its own color. The left axis comes out OK - red, medium
The right axis comes out the default.
I have tried everything I could think of (admittedly not much) to alter 
any property of the right labels and have had no success -
How do I alter the right axis label properties in the example below???
thanks for any help.

Jim


This is taken from the 'two_scales.py'  in the examples directory.


from matplotlib.matlab import *

ax1 = subplot(111)
t = arange(0.0, 10.0, 0.01)
s1 = exp(t)
plot(t, s1, 'b-')
ax1.yaxis.tick_left()
for label in ax1.get_yticklabels():
     label.set_fontsize('medium')
     label.set_color('r')

# turn off the 2nd axes rectangle with frameon kwarg
ax2 = subplot(111, frameon=False)
s2 = sin(2*pi*t)
plot(t, s2, 'r.')
ax2.yaxis.tick_right()
for label in ax1.get_yticklabels():
     label.set_fontsize('medium')
     label.set_color('b')

xlabel('time (s)')

On Wed, 2004-08-11 at 10:31, Jeffery D. Collins wrote:

> from matplotlib.matlab import ylabel
>                                                                          =
      =20
>=20
> ylabel('bia [cm]')

What does your .matplotlibrc look like?  In particular, do you have
interactive set? I had to change the first line above to 'import *' to
get the show() function.  If I change my .matplotlibrc file to

backend:  TkAgg
interactive: true

I can do as many ylabel's as I like without difficulty.  Fedora Core 1,
latest matplotlib CVS.

--=20
Stephen Walton <ste...@cs...>
Dept. of Physics & Astronomy, Cal State Northridge

Darren Dale wrote:
> I was thinking about the way the labels are formatted. Some of the 
> numbers I work with are large(10^10) and small (10^-10), and the 
> formatting wasnt quite right. I am running the following as a test:
> 
> mport matplotlib
> from matplotlib.matlab import *
> from numarray import array
> 
> a=array(range(10))*1e6+1e7
> b = array(range(10))*1e-5+1e-4
> plot(a,b)
> 
> in ticker.py, in ScalarFormatter, what is the purpose of this routine?
> 
>        # if the value is just a fraction off an int, use the int
>        if abs(x-long(x))<0.0001*d:
>            if x<=10000: return '%d' % long(x + 0.5)
>            else: return '%1.0e'%long(x)
> 
> If commented out, the labels are formatted appropriately as 
> exponentials, otherwise, the level of precision can often not be useful. 
> Also, in the exponential formatting block, might this
> if d < 1e-3: fmt = '%1.3f'
> read this?:
> if d < 1e-2: fmt = '%1.3e'
> 
> One final suggestion, for formatting the exponential component:
> 
> m = self._zerorgx.match(s)
>        if m:
>            s = m.group(1)
>            if m.group(2) is not None:
> ##                 s += m.group(2)
>                s += m.group(2)[:2]+str(int(m.group(2)[2:])) ## my hack 
> to make 3e003 look like 3e3. (Whats the "right way"?)
>        s = s.replace('+', '')
>        return s
> 
> Darren

This patch has been committed, so exponential values should format correctly.

  -- Paul

-- 
Paul Barrett, PhD      Space Telescope Science Institute
Phone: 410-338-4475    ESS/Science Software Branch
FAX:   410-338-4767    Baltimore, MD 21218

>>>>> "Jeffery" == Jeffery D Collins <jef...@ve...> writes:

    Jeffery> I am using the latest snapshot from the CVS repository
    Jeffery> and am getting a segmentation fault when using ylabel
    Jeffery> with certain strings.  Below is a code snippet that
    Jeffery> crashes on the last occurance of ylabel.  Does this crash
    Jeffery> for anyone else?

One more thing - there is almost nothing different in CVS than in
0.61.0.  Since the CVS mirrors sometimes lag, it would help in
diagnosing this problem if you test with 0.61.  I recommend first
removing site-packages/matplotlib and your matplotlib 'build' dir to
get a clean install.

Thanks,
John Hunter

>>>>> "Jeffery" == Jeffery D Collins <jef...@ve...> writes:

    Jeffery> I am using the latest snapshot from the CVS repository
    Jeffery> and am getting a segmentation fault when using ylabel
    Jeffery> with certain strings.  Below is a code snippet that
    Jeffery> crashes on the last occurance of ylabel.  Does this crash
    Jeffery> for anyone else?

    Jeffery> from matplotlib.matlab import ylabel ylabel('bia [cm]')
    Jeffery> raw_input('continue') ylabel('Bia [cm]') # seg fault
    Jeffery> raw_input('continue')

Your script is line wrapped in your post, so it is difficult to know
exactly what you mean.  The following does not segfault for me

from matplotlib.matlab import ylabel

ylabel('bia [cm]')
raw_input('continue')
ylabel('Bia [cm]')  # seg fault
raw_input('continue')


It would be helpful if you narrowed the scope of your problem by using
the Agg backend.  My guess is you'll encounter the same problem.
Assuming so, there are two extra things you could do to give more
information

Edit site-packages/matplotlib/backends/backend_agg.py in the function
_get_agg_font, print the font filename you are using.  Ie, on or
around line 231 in matplotlib-0.61, add the print line as below

        if font is None:
            fname = fontManager.findfont(prop)
            print 'agg loading', fname
            try: font = FT2Font(str(fname))

Additionally, you may want to set at the top of that file

DEBUG = 1

and edit setup.py and set 

VERBOSE = True

and recompile matplotlib cleanly.  To do this, go to the matplotlib
src dir and 'rm -rf build' before reinstalling matplotlib.

Rerun your tests - be prepared for a deluge of messages.  

This should provide some additional helpful information.

You may want to followup to the devel list instead of the users list

Thanks,
John Hunter

    Jeffery> More information: OS: Linux (RH9) backend: TkAgg

    Jeffery> Python 2.3.2 (#1, Oct 22 2003, 19:27:14) [GCC 3.2.2
    Jeffery> 20030222 (Red Hat Linux 3.2.2-5)] on linux2 Type "help",
    Jeffery> "copyright", "credits" or "license" for more information.

    Jeffery> --
    Jeffery> -----------------------------------------------------------------
    Jeffery> Jeffery D. Collins, Ph.D.  Vexcel Corp.  Sr. Engineer
    Jeffery> 1690 38th St.  Voice: (303)583-0228 Boulder, CO 80301
    Jeffery> Fax: (303)583-0246 vexcel.com





    Jeffery> -------------------------------------------------------
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    Jeffery> _______________________________________________
    Jeffery> Matplotlib-users mailing list
    Jeffery> Mat...@li...
    Jeffery> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

I am using the latest snapshot from the CVS repository and am getting a 
segmentation fault when using ylabel with certain strings.  Below is a 
code snippet that crashes on the last occurance of ylabel.   Does this 
crash for anyone else?

from matplotlib.matlab import ylabel
                                                                                

ylabel('bia [cm]')
raw_input('continue')
ylabel('Bia [cm]')  # seg fault
raw_input('continue')


More information:
OS: Linux (RH9)
backend: TkAgg

Python 2.3.2 (#1, Oct 22 2003, 19:27:14)
[GCC 3.2.2 20030222 (Red Hat Linux 3.2.2-5)] on linux2
Type "help", "copyright", "credits" or "license" for more information.

-- 
-----------------------------------------------------------------
Jeffery D. Collins, Ph.D.                      Vexcel Corp.
Sr. Engineer                                   1690 38th St.
Voice: (303)583-0228                           Boulder, CO 80301
Fax:   (303)583-0246                           vexcel.com

>>>>> "Todd" == Todd Miller <jm...@st...> writes:

    Todd> This may be more FUD than fact but... my recollection of
    Todd> this is that different versions of Tcl/Tk are used between
    Todd> Python-2.2 and Python-2.3, I believe 8.3 and 8.4
    Todd> respectively.  Our process for creating the windows binaries
    Todd> for maplotlib requires a copy of the Tcl/Tk headers.  The
    Todd> last time I tried to make a 2.2 version of matplotlib, I was
    Todd> able to get matplotlib to compile and link using different
    Todd> Tcl/Tk headers (8.3), and matplotlib imported successfully,
    Todd> but it was unstable.  So, my impression is that the problem
    Todd> boils down to getting Python-2.2 specific support for Tcl/Tk
    Todd> into win32_static.

Not FUD, fact:-)

With this clarification I was able to get 2.2 compiled properly with
tkagg and the other backends.  I uploaded it to the SF site.  This is
the Numeric build.

Todd, I don't want to get into a situation where we are building
Numeric + numarray 0.9 + numarray 1.0 cross python 2.2, python2.3 and
python2.4 (that would be 9 win32 builds!) but we may want to consider
doing python2.2 builds for milestone releases, eg every couple/few
months.  I uploaded a new win32 static to the sf site which includes
the tcl83 and tcl84 headers and updated setupext.py in CVS to use
them.

JDH

As you said, my packages were messed up.
After removing site-package and build, the problem was gone.
I have no idea about what happened, but thanks for your advice.

Daehyok Shin

On Wed, 2004-08-11 at 09:19, John Hunter wrote:
> That is very bizarre.  Take a look at
> site-packages/matplotlib/patches.py - you should have set_antialiased
> defined on line 70 in the Patches class.  Rectangle should derive from
> Patches on line 119.
> 
> It looks a little like your build is messed up in some way I don't
> understand.  You may want to try removing matplotlib from your
> site-packages dir, removing 'build' from your matplotlib src tree, adn
> doing a clean install.

On Wed, 2004-08-11 at 09:07, John Hunter wrote:
> >>>>> "Gary" == Gary Strangman <st...@nm...> writes:
> 
> 
>     Gary> I recently found matplotlib and think it's _exactly_ what
>     Gary> the python environment needs from the scientific perspective
>     Gary> ... interactive plotting as good as (or better than)
>     Gary> Matlab's, that also makes it easy for Matlab users to be
>     Gary> converted. ;-) I'm very impressed in the
>     Gary> effort-to-date. Unfortunately, other software I use forces
>     Gary> me to stay with python2.2, and I'm having tremendous trouble
>     Gary> building matplotlib for win32. Might someone have a pointer
>     Gary> to a self-installing executable for matplotlib compiled
>     Gary> against python2.2 that is a more recent version than
>     Gary> v0.54.1??
> 
>     Gary> Thanks! And cheers to all the developers of this package.
> 
> Hi Gary - thanks for the kind words (and thanks for the stats module
> as well, which I've been using intermittently for years).
> 
> There is a bug in the _tkagg extension in the python2.2 build which
> has never been tracked down and fixed, which is why we stopped
> releasing it.  You get a missing DLL error when you try and load it.
> I opened _tkagg.pyd in dependency walker, and the DLL is one of the
> Visual Studio .NET dlls - though sometimes dependency walker fives
> false alarms.
> 
> As I write this, it occurs to me the problem that arose in 2.2 may
> have been coincident in my changing build environments (I don't know
> if Todd experienced a similar problem with his numarray builds with
> tkagg and python2.2, but I think he may have ...).

This may be more FUD than fact but... my recollection of this is that
different versions of Tcl/Tk are used between Python-2.2 and
Python-2.3,  I believe 8.3 and 8.4 respectively.  Our process for
creating the windows binaries for maplotlib requires a copy of the
Tcl/Tk headers.  The last time I tried to make a 2.2 version of
matplotlib,  I was able to get matplotlib to compile and link using
different Tcl/Tk headers (8.3), and matplotlib imported successfully, 
but it was unstable.  So,  my impression is that the problem boils down
to getting Python-2.2 specific support for Tcl/Tk into win32_static. 

Regards,
Todd

>>>>> "Ryugan" == Ryugan Mizuta <ryu...@sb...> writes:

    Ryugan> I'm a newbie and am trying to create a financial chart
    Ryugan> that converts or plots a tick data to any time frame
    Ryugan> (ex. daily, intraday and etc...).  I'm also using data
    Ryugan> that is written in a text file.  I only see an example
    Ryugan> that uses Yahoo data.

    Ryugan> Could anybody help me on how I can do this?

The examples finance_work on the web site
http://matplotlib.sourceforge.net/screenshots.html#finance_work2 loads
financial data from a CSV file.  It uses a function load_quotes
defined in the helper.py module

  http://matplotlib.sourceforge.net/screenshots/finance_work2.py
  http://matplotlib.sourceforge.net/screenshots/helpers.py

The data files for this example are found in 

  http://matplotlib.sourceforge.net/screenshots/data/

The downside is that this is a fairly sophisticated example that may
not be that easy to parse if you are getting started with
python/matplotlib, so hopefully someone on this list can provide a
simpler one for you.

Hope this helps,
John

>>>>> "Shin" == Shin  <sd...@em...> writes:

    Shin> My first trial produced the following error message.  What
    Shin> problem do you think is in my installation?  I am using
    Shin> GtkAgg backend for matplotlib 0.6.1 version in Mandrake 10
    Shin> and python 2.3.3.  Thanks.

That is very bizarre.  Take a look at
site-packages/matplotlib/patches.py - you should have set_antialiased
defined on line 70 in the Patches class.  Rectangle should derive from
Patches on line 119.

It looks a little like your build is messed up in some way I don't
understand.  You may want to try removing matplotlib from your
site-packages dir, removing 'build' from your matplotlib src tree, adn
doing a clean install.

For the record, I did a clean install of 0.61.0 on a linux machine I
don't normally develop on and ran your example without problems

    >>> from matplotlib.matlab import *
    >>> x=arange(10)
    >>> plot(x)
    [<matplotlib.lines.Line2D instance at 0x40d5e94c>]

With the following in my .matplotlibrc file

backend      : TkAgg      # the default backend
numerix      : Numeric    # Numeric or numarray
interactive  : True       
toolbar      : toolbar2   # None | classic | toolbar2

Let me know what you find.

JDH


    >>>> from matplotlib.matlab import * x=arange(10) plot(x)
    Shin> Traceback (most recent call last): File "<stdin>", line 1,
    Shin> in ?  File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/matlab.py",
    Shin> line 1176, in plot lines = gca().plot(*args, **kwargs) File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/matlab.py",
    Shin> line 762, in gca return
    Shin> get_current_fig_manager().get_current_axis() File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/matlab.py",
    Shin> line 251, in get_current_fig_manager gcf() # creates an
    Shin> active figure as a side effect File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/matlab.py",
    Shin> line 771, in gcf return figure() File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/matlab.py",
    Shin> line 691, in figure figManager = new_figure_manager(num,
    Shin> figsize, dpi, facecolor, edgecolor, frameon) File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtkagg.py",
    Shin> line 25, in new_figure_manager thisFig = Figure(*args,
    Shin> **kwargs) File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/figure.py",
    Shin> line 52, in __init__ facecolor=facecolor,
    Shin> edgecolor=edgecolor, File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/patches.py",
    Shin> line 130, in __init__ Patch.__init__(self, **kwargs) File
    Shin> "/usr/lib/python2.3/site-packages/matplotlib/patches.py",
    Shin> line 48, in __init__ self.__dict__['set_%s'%abbrev] =
    Shin> getattr(self, 'set_%s'%func) AttributeError: Rectangle
    Shin> instance has no attribute 'set_antialiased'

    Shin> -- Daehyok Shin



    Shin> -------------------------------------------------------
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>>>>> "Gary" == Gary Strangman <st...@nm...> writes:


    Gary> I recently found matplotlib and think it's _exactly_ what
    Gary> the python environment needs from the scientific perspective
    Gary> ... interactive plotting as good as (or better than)
    Gary> Matlab's, that also makes it easy for Matlab users to be
    Gary> converted. ;-) I'm very impressed in the
    Gary> effort-to-date. Unfortunately, other software I use forces
    Gary> me to stay with python2.2, and I'm having tremendous trouble
    Gary> building matplotlib for win32. Might someone have a pointer
    Gary> to a self-installing executable for matplotlib compiled
    Gary> against python2.2 that is a more recent version than
    Gary> v0.54.1??

    Gary> Thanks! And cheers to all the developers of this package.

Hi Gary - thanks for the kind words (and thanks for the stats module
as well, which I've been using intermittently for years).

There is a bug in the _tkagg extension in the python2.2 build which
has never been tracked down and fixed, which is why we stopped
releasing it.  You get a missing DLL error when you try and load it.
I opened _tkagg.pyd in dependency walker, and the DLL is one of the
Visual Studio .NET dlls - though sometimes dependency walker fives
false alarms.

As I write this, it occurs to me the problem that arose in 2.2 may
have been coincident in my changing build environments (I don't know
if Todd experienced a similar problem with his numarray builds with
tkagg and python2.2, but I think he may have ...).

The other backends still work fine for python2.2 (GTKAgg, WXAgg,
etc...).  I don't know if you can use these, though, since you
specifically mentioned interactivity in your post.  I'd be happy to
send this build to you if you like (I built it for 0.61.0 yesterday
after your email).

The other options are

 - I can try and build on my old computer where maybe the problem
   doesn't exist and hence tkagg would work

 - I can try and fix the problem!  Clearly the best solution, but I
   don't have any great leads right now.

Are you primarily a numarray or Numeric user?

Cheers,
JDH

I'm a newbie and am trying to create a financial chart that converts or =
plots a tick data to any time frame (ex. daily, intraday and etc...). =20

I'm also using data that is written in a text file.  I only see an =
example that uses Yahoo data.   =20

Could anybody help me on how I can do this?

Thank you.

Ryugan Mizuta

My first trial produced the following error message.
What problem do you think is in my installation?
I am using GtkAgg backend for matplotlib 0.6.1 version in Mandrake 10
and python 2.3.3.
Thanks.

>>> from matplotlib.matlab import *
>>> x=arange(10)
>>> plot(x)
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
  File "/usr/lib/python2.3/site-packages/matplotlib/matlab.py", line
1176, in plot
    lines =  gca().plot(*args, **kwargs)
  File "/usr/lib/python2.3/site-packages/matplotlib/matlab.py", line
762, in gca
    return get_current_fig_manager().get_current_axis()
  File "/usr/lib/python2.3/site-packages/matplotlib/matlab.py", line
251, in get_current_fig_manager
    gcf()  # creates an active figure as a side effect
  File "/usr/lib/python2.3/site-packages/matplotlib/matlab.py", line
771, in gcf
    return figure()
  File "/usr/lib/python2.3/site-packages/matplotlib/matlab.py", line
691, in figure
    figManager = new_figure_manager(num, figsize, dpi, facecolor,
edgecolor, frameon)
  File
"/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtkagg.py", line 25, in new_figure_manager
    thisFig = Figure(*args, **kwargs)
  File "/usr/lib/python2.3/site-packages/matplotlib/figure.py", line 52,
in __init__
    facecolor=facecolor, edgecolor=edgecolor,
  File "/usr/lib/python2.3/site-packages/matplotlib/patches.py", line
130, in __init__
    Patch.__init__(self, **kwargs)
  File "/usr/lib/python2.3/site-packages/matplotlib/patches.py", line
48, in __init__
    self.__dict__['set_%s'%abbrev] = getattr(self, 'set_%s'%func)
AttributeError: Rectangle instance has no attribute 'set_antialiased'

-- 
Daehyok Shin 

Hi,

I recently found matplotlib and think it's _exactly_ what the python 
environment needs from the scientific perspective ... interactive plotting 
as good as (or better than) Matlab's, that also makes it easy for Matlab 
users to be converted. ;-) I'm very impressed in the effort-to-date. 
Unfortunately, other software I use forces me to stay with python2.2, and 
I'm having tremendous trouble building matplotlib for win32. Might someone 
have a pointer to a self-installing executable for matplotlib compiled 
against python2.2 that is a more recent version than v0.54.1??

Thanks! And cheers to all the developers of this package.

-best
Gary