matplotlib

> Hello,
>
> I have a demo application integrating a dynamic mpl plot into a PyQt GUI.
> The plot is dynamic in the sense that the user can manipulate it through the
> use of the GUI's (PyQt) widgets and controls. The code is in:
> http://eli.thegreenplace.net/files/prog_code/qt_mpl_bars.py.txt
>
> Now, I have a slight problem. When the plot is zoomed with the toolbar's
> standard "zoom to rectangle" tool, and then the window is switched in an out
> of focus, the zoom level disappears and the plot comes bac k to "home" mode. 
>
> How can I make it persist? Can I somehow query the zoom state of the plot
> and restore it?
>
> Thanks
> Eli
>   
Ok so at least you can reproduce with bug ;)
Maybe we should ask matplolib to render into a buffer widget...but I not
sure.
However, I'm pretty sure we should not call matplotlib on every draw event.

Any ideas??

Xavier

On Fri, Mar 27, 2009 at 7:30 AM, Bala subramanian <bala.biophysics@...
> wrote:

> Dear Friends,
>
> I am new to matplotlib. Just started with it. I have some queries, kindly
> help me to understand the following.
>

Welcome!


>
> i) How are pyplot and pylab are related. Is there any advantage of one over
> the other. In the matplotlib homepage examples are shown with both pyplot
> and pylab
>

See this FAQ:
http://matplotlib.sourceforge.net/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related


>
> ii) How can i generage multi y-axes plot ie x y1 y2 y3 (with same x
> values). any small example script would be of much help to me.
>


plot([x,x,x], [y1, y2, y2], 'o')

See also this tutorial:
http://matplotlib.sourceforge.net/users/pyplot_tutorial.html


>
> iii) How to save the figure with a name. By default in which format the
> figure is saved ?
>


savefig('somefile.png') or savefig('somefile.pdf') etc.  The extension
determines the file format.  For details see

http://matplotlib.sourceforge.net/faq/installing_faq.html#backends

Hope this helps,
JDH

Dear All,

I have to make multiple plot on the same page. Six row and three column.
Kindly suggest me some tips to do the same.

Bala

On Fri, Mar 27, 2009 at 12:15 PM, Bala subramanian <
bala.biophysics@...> wrote:

> Dear All,
>
> I have to make multiple plot on the same page. Six row and three column.
> Kindly suggest me some tips to do the same.
>

Try: pyplot.subplot()

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.subplot

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
Sent from: Norman Oklahoma United States.

On Fri, Mar 27, 2009 at 12:15 PM, Bala subramanian <
bala.biophysics@...> wrote:

>
> I have to make multiple plot on the same page. Six row and three column.
> Kindly suggest me some tips to do the same.


This is covered in the tutorial I referred you to in my first response,

  http://matplotlib.sourceforge.net/users/pyplot_tutorial.html

specifically the section "Working with multiple figures and axes"


http://matplotlib.sourceforge.net/users/pyplot_tutorial.html#working-with-multiple-figures-and-axes

To make six rows and three columns, you do

  subplot(6,3,1)
  subplot(6,3,2)
  ...
  subplot(6,3,18)

See also the documentation for the subplot command


http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.subplot

JDH

Le vendredi 27 mars 2009 à 18:15 +0100, Bala subramanian a écrit :
> I have to make multiple plot on the same page. Six row and three
> column. Kindly suggest me some tips to do the same.

I suggest you to have a look to the matplotlib gallery, in particular
this example 
http://matplotlib.sourceforge.net/examples/pylab_examples/psd_demo2.html

You need to define subplots using the pyplot interface
http://matplotlib.sourceforge.net/api/pyplot_api.html?#matplotlib.pyplot.subplot
or the matplotlib API 
http://matplotlib.sourceforge.net/api/axes_api.html?#matplotlib.axes.Subplot

With many subplots, you may pay attention with the figure size, that you
can define with the 'figsize' and 'dpi' keyword arguments of the figure
function :
http://matplotlib.sourceforge.net/api/pyplot_api.html?#matplotlib.pyplot.figure

-- 
Fabrice Silva <silva@...>
LMA UPR CNRS 7051

On Thu, Mar 26, 2009 at 9:59 AM, Sandro Tosi <morph@...> wrote:

> Hi Jae-Joon,
> thanks for the reply.
>
> On Thu, Mar 26, 2009 at 02:51, Jae-Joon Lee <lee.j.joon@...> wrote:
> > You need to adjust the keyword arguments, such as head_width, etc. The
>
> But shouldn't the default arrow be a little bit "nicer" than it's now? :)
>
> > arrow command itself is poorly documented and its keyword arguments
> > are explained in
> > matplitlib.patches.FancyArrow.
>
> Ah, that's why even in pyploy.arrow() I could'nt find eny reference to
> head_width & friends. In case I have some time to share on improve
> arrow() docs, what docs should I look to? and changing
> 'doc/api/pyplot_api.rst' is the right place to achieve it?
>
> > However, I recommend you to use
> > annotate command instead of arrow (you can give empty string if you
> > just need an arrow). For example,
> >
> > annotate("", (0.2, 0.2), (0.4, 0.4),
> >               arrowprops=dict(arrowstyle="->"))
> >
> > more examples,
> >
> >
> http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo.html
> >
> http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo2.html
>
> I already treated annotation, but I would like to give the readers (of
> the book) a much wider toolbox, so introducing bare arrows after
> annotations seems straigthforward.



Have you seen the arrow and fancy arrow demos

  http://matplotlib.sourceforge.net/examples/pylab_examples/arrow_demo.html

http://matplotlib.sourceforge.net/examples/pylab_examples/fancyarrow_demo.html

Both of these use older and less sophisticated arrows that JJ's
FancyArrowPatch


http://matplotlib.sourceforge.net/api/artist_api.html?highlight=fancyarrowpatch#matplotlib.patches.FancyArrowPatch

so perhaps the best thing for you to do would be to write an example using
the FancyArrowPatch directly.

JDH

2009/3/27 Søren Nielsen <soren.skou.nielsen@...>

> Hi,
>
> I can delete a line plot by removing the line object from axes.get_lines()
> .. but the limits are still saved.. so the axes is still autoscaled using so
> it includes the deleted line... Does anyone know how do I remove these
> limits? or update the data limits on the plotted data so that autoscale
> works again?



Use ax.relim()


http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.relim

JDH

On Fri, Mar 27, 2009 at 5:00 AM, marcusantonius <
markus.haider@...> wrote:

>
> Hi,
>
> I have a problem when saving my plot as a png. The horizontal lines, which
> I
> inserted via
> axhline(y=0.136, xmin=0., xmax=1, color='black',ls=':')
> axhline(y=0.094, xmin=0., xmax=1, color='black',ls=':')
> are not displayed right in the png file. Saving in pdf works perfectly. I
> enclosed the two files in this email.
> http://www.nabble.com/file/p22738740/p25.pdf p25.pdf
> http://www.nabble.com/file/p22738740/p25.png p25.png
>
> Is there a way to fix this problem?
>


This appears to be working fine for me with svn matplotlib -- what version
are you using?  See also:
http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problemfor
information about how to obtain version and other configuration
information.


>
> Thank you for your help,
> Markus
> --
> View this message in context:
> http://www.nabble.com/Bug-when-saving-in-PNG--tp22738740p22738740.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
>
> ------------------------------------------------------------------------------
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

C M wrote:
> Hi, I have just begun including the toolbar in an embedded (in wx)
> use of mpl, and am really pleased with how easily it provides very
> useful functions.  Once again, mpl shines.
> 
> But I would like to try to modify the toolbar for my application, e.g.
> probably remove the "configure subplots" tool (n/a in my context)
> and in fact add a number of my own application-specific tools to
> that same toolbar.
> 
> I  didn't see any toolbar class within the widgets.py file in the
> matplotlib directory.  So, a) where can I find it, and b) is there
> anything I should be aware of regarding modifying the toolbar?

Toolbar functionality starts in backend_bases.py and continues in the 
individual toolkit-specific backends, like backends/backend_wx.py. 
Configurability has been on the wish list for a while.

Have you looked at examples/user_interfaces/embedding_in_wx4.py?  It 
does modify the default toolbar.

Eric


> 
> Thanks,
> Che
> 
> ------------------------------------------------------------------------------
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> Matplotlib-users mailing list
> Matplotlib-users@...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On Fri, Mar 27, 2009 at 1:56 AM, Eric Firing <efiring@...> wrote:
> C M wrote:
>>
>> Hi, I have just begun including the toolbar in an embedded (in wx)
>> use of mpl, and am really pleased with how easily it provides very
>> useful functions.  Once again, mpl shines.
>>
>> But I would like to try to modify the toolbar for my application, e.g.
>> probably remove the "configure subplots" tool (n/a in my context)
>> and in fact add a number of my own application-specific tools to
>> that same toolbar.
>>
>> I  didn't see any toolbar class within the widgets.py file in the
>> matplotlib directory.  So, a) where can I find it, and b) is there
>> anything I should be aware of regarding modifying the toolbar?
>
> Toolbar functionality starts in backend_bases.py and continues in the
> individual toolkit-specific backends, like backends/backend_wx.py.
> Configurability has been on the wish list for a while.
>
> Have you looked at examples/user_interfaces/embedding_in_wx4.py?  It does
> modify the default toolbar.
>
> Eric

Perfect, thank you.

Che

On Thu, Mar 26, 2009 at 10:00 AM, Tyler B <bosmeny@...> wrote:

> Hi there,
>
> Thanks for your help with my problem yesterday.. the code was fine,
> and it was a problem with my system. I installed a fresh copy of EPD's
> Python and that fixed it!
>
> I have a quick question about making the chart background transparent.
>
> Here's the original graph:  http://screencast.com/t/YuRZLOnmg
>
> Here's what i looks like when I use 'fig.frameon= False' :
> http://screencast.com/t/ZFkUFRoor
> (the gray part is transparent)
>
> So how do I make the last remaining white part transparent?  I still
> want to keep the black axis, and just get rid of the white.
>

Have you seen

http://matplotlib.sourceforge.net/faq/howto_faq.html?highlight=codex%20transparent#save-transparent-figures

You can make the axes transparent with

  ax.patch.set_alpha(0.5)

or turn off the axes face entirely with

  ac.patch.set_facecolor('None')

Note the string 'None' is not the symbol None -- the latter means "use the
default face color"

JDH

Sorry, It's hard to track down what's wrong without actually running the code.

Change

 self.legend._loc = loc_in_norm_axes

to

 self.legend._loc = tuple(loc_in_norm_axes)

and see if it works.

You need to call canvas.draw. However, it will draw whole figure
again. If you're concerned about speed, you may consider to use blit
method.

http://matplotlib.sourceforge.net/examples/animation/animation_blit_wx.html

-JJ


On Wed, Mar 25, 2009 at 10:55 PM, C M <cmpython@...> wrote:
> On Wed, Mar 25, 2009 at 9:58 PM, Jae-Joon Lee <lee.j.joon@...> wrote:
>> Ah, my bad.
>>
>> Try
>>
>>   self.legend.parent.transAxes.inverted().transform_point(loc_in_canvas)
>>
>> legend.parent points to the parent axes.
>>
>> -JJ
>>
>
> That cleared up the error, thanks.  But it is still not actually moving the
> legend.  The coordinates are changing as you described it:
>
> loc position (JJ method) =  [ 0.89354419  0.91002415]
> motion_event.x = 436
> motion_event.y = 349.0
> mouse moved x =  31
> mouse moved y =  3.0
> loc position (JJ method) =  [ 0.90698505  0.91002415]
>
> but the legend doesn't move.
>
> I have tried to different ways of doing the draw method.
>
> 1.  self.canvas.draw()
> That gives this error and does not move the legend:
> ValueError: The truth value of an array with more than one element is
> ambiguous. Use a.any() or a.all()
>
> 2. self.draw()  (this is a method which draws the lines and legend
> originally in my class).
> That just does nothing, though the output is as shown above.
>
> What do I have to do to actually show the repositioned legend?
>
> Thanks for your patience,
> C
>
> ------------------------------------------------------------------------------
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>

On Thu, Mar 26, 2009 at 12:19 AM, Jae-Joon Lee <lee.j.joon@...> wrote:
> Sorry, It's hard to track down what's wrong without actually running the code.

I really appreciate your patience.

> Change
>
>  self.legend._loc = loc_in_norm_axes
>
> to
>
>  self.legend._loc = tuple(loc_in_norm_axes)
>
> and see if it works.
>

That did it!  Thank you.

> You need to call canvas.draw. However, it will draw whole figure
> again. If you're concerned about speed, you may consider to use blit
> method.

> http://matplotlib.sourceforge.net/examples/animation/animation_blit_wx.html

I'll look into it.  For the time being, this is already a very good improvement.

Thanks so much for the help.  For the archives, the working runnable
sample (if you have wxPython) is attached.

Che