matplotlib-users Mailing List for matplotlib (Page 2)

Hi, all

I try to use last stable version of matplotlib 0.9.85.2 with PyQt 4.5.2 under Windows XP Pro SP3, Python 2.5.2 and get error

Traceback (most recent call last):
 File "/home/alex/.qgis//python/plugins/statist/statist.py", line 114, in
doCalcStats
   d = doStatist.dlgStatist( self.iface )
 File "/home/alex/.qgis//python/plugins/statist/doStatist.py", line 81, in
__init__
   self.canvas = FigureCanvas( self.figure )
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_qt4agg.py",
line 57, in __init__
   FigureCanvasQT.__init__( self, figure )
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_qt4.py",
line 100, in __init__
   self.resize( w, h )
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_qt4.py",
line 162, in resize
   self.draw()
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_qt4agg.py",
line 133, in draw
   FigureCanvasAgg.draw(self)
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py",
line 261, in draw
   self.figure.draw(self.renderer)
 File "/usr/lib/python2.5/site-packages/matplotlib/figure.py", line 762, in
draw
   for t in self.texts: t.draw(renderer)
 File "/usr/lib/python2.5/site-packages/matplotlib/text.py", line 299, in draw
   bbox, info = self._get_layout(renderer)
 File "/usr/lib/python2.5/site-packages/matplotlib/text.py", line 193, in
_get_layout
   'lp', self._fontproperties, ismath=False)
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py",
line 137, in get_text_width_height_descent
   font = self._get_agg_font(prop)
 File "/usr/lib/python2.5/site-packages/matplotlib/backends/backend_agg.py",
line 177, in _get_agg_font
   font = FT2Font(str(fname))
RuntimeError: Could not load facefile /; Unknown_File_Format

Does this means that matplotlib don't work with QT 4.5.2 and I need latest svn version?
With PyQt 4.4.3 same program work fine and there is no errors

Thanks,
  Alexander Bruy

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Hi all,

on behalf of the IPython development team, I'm happy to announce that
we've just put out IPython 0.10 final.  Many thanks to all those who
contributed ideas, bug reports and code.

You can download it from the usual location:

- http://ipython.scipy.org/moin/Download: direct links to various formats
- http://ipython.scipy.org/dist: all files are stored here.

The official documentation for this release can be found at:

- http://ipython.scipy.org/doc/rel-0.10/html: as HTML pages.
- http://ipython.scipy.org/doc/rel-0.10/ipython.pdf: as a single PDF.

In brief, this release gathers all recent work and in a sense closes a
cycle of the current useful-but-internally-messy structure of the
IPython code.  We are now well into the work of a major internal
cleanup that will inevitably change some APIs and will  likely take
some time to stabilize, so the 0.10 release should be used for a while
until the dust settles on the development branch.

The 0.10 release fixes many bugs, including some very problematic ones
(a major memory leak with repeated %run is closed), and also brings a
number of new features, stability improvements and improved
documentation.  Some highlights:

- Improved WX-based ipythonx and ipython-wx tools, suitable for
embedding  into other applications and standalone use.

- Better interactive demos with the IPython.demo module.

- Refactored ipcluster with support for local execution, MPI, PBS and
systems with SSH key access preconfigured.

- Integration with the TextMate editor in the %edit command.

The full release notes are available here with all the details:

http://ipython.scipy.org/doc/rel-0.10/html/changes.html#release-0-10

We hope you enjoy it, please report any problems as usual either on
the mailing list, or by filing a bug report at our Launchpad tracker:

https://bugs.launchpad.net/ipython

Cheers,

The IPython team.

On Tue, Aug 4, 2009 at 12:14 PM, Christophe
Dupre<chr...@vh...> wrote:
> Hello,
>
>
>
> I've been playing with the animation_blit_gtk2 example
> (http://matplotlib.sourceforge.net/examples/animation/animation_blit_gtk2.html
>
> ) and the latest version of matplotlib version 0.99.0-RC1.
>
> I've modified the example so that it displays candlesticks moving towards
> the lelf. The example is attached if anybody is interested.
>
>
>
>
>
> In my example, I'm using 1 minute bars and therefore I would like to shift
> the graph by 1 minute instead of a few pixels. Is there a way to convert a
> time difference into pixels?
>

The "get_dx_data" method coverts a pixel offset to a data offset.
So, what you need is just to invert it.
This requires some knowledge of transformation, but I guess the code
is rather self-explanatory.

For example,  something like below will work (sorry, I haven't
actually tested the code)

    def get_dx_pixel(self, dx_data):
        tp = self.ax.transData.transform_point
        x0, y0 = tp((0, 0))
        x1, y1 = tp((dx_data, 0))
        return (x1-x0)

Regards,

-JJ

>
>
> Thanks,
>
>
>
> Christophe
>
>
>
>
>
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>

On Tue, Aug 4, 2009 at 12:50 PM, John Hunter<jd...@gm...> wrote:
> On Mon, Aug 3, 2009 at 11:38 PM, Gökhan Sever<gok...@gm...> wrote:
>> Hello,
>>
>> I was wondering if it is possible to hide some data on figures using a say
>> right click option to any of the legend entry and make it temporarily
>> hidden/visible to better analyse the rest of the data?
>>
>> Check this screenshot for example:
>>
>> http://img25.imageshack.us/img25/9427/datahiding.png
>>
>> The red data clutters the rest of the figure, and I would like to be able to
>> hide it temporarily so that I can investigate the other two relations more
>> easily.
>>
>> Any ideas? or alternative solutions?
>
> It's a nice idea, and should be doable with the pick interface we have
> for all mpl artists.  Unfortunately, there were a few problems in the
> legend implementation which blocked the pick events from hitting the
> proxy lines they contained.  I just made a few changes to mpl svn HEAD
> to support this, and added a new example.
>
>  examples/event_handling/legend_picking.py
>
> which I'll include below.   JJ could you review the changes to legend.py?

John,

This looks good.
I guess I have overlooked the importance of setting the children properly.

Regards,

-JJ


>
> Instructions for checking out svn are at::
>
>  http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-svn
>
> Here is the example:
>
> """
> Enable picking on the legend to toggle the legended line on and off
> """
> import numpy as np
> import matplotlib.pyplot as plt
>
> t = np.arange(0.0, 0.2, 0.1)
> y1 = 2*np.sin(2*np.pi*t)
> y2 = 4*np.sin(2*np.pi*2*t)
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> line1, = ax.plot(t, y1, lw=2, color='red', label='1 hz')
> line2, = ax.plot(t, y2, lw=2, color='blue', label='2 hz')
>
> leg = ax.legend(loc='upper left', fancybox=True, shadow=True)
> leg.get_frame().set_alpha(0.4)
>
>
> lines = [line1, line2]
> lined = dict()
> for legline, realine in zip(leg.get_lines(), lines):
>    legline.set_picker(5)  # 5 pts tolerance
>    lined[legline] = realine
>
> def onpick(event):
>    legline = event.artist
>    realline = lined[legline]
>    vis = realline.get_visible()
>    realline.set_visible(not vis)
>    fig.canvas.draw()
>
> fig.canvas.mpl_connect('pick_event', onpick)
>
> plt.show()
>