Re: [Matplotlib-users] Hiding data via legend

[butterw <bu...@gm...>]

Hi,

pickers work great to make matplotlib plots more interactive/general user
friendly.

On the subject of the legend_picker.py example, I was wondering if it was
possible to combine both a legend picker and a line picker in the same plot.
>From what I gather they will both use the same onpick event callback. 

So my question is : How do I discriminate between a pick on the legend from
a pick on a line ? The event.artist is a line2D in both cases.  

 




John Hunter-4 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?
> 
> 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()
> 
> ------------------------------------------------------------------------------
> Let Crystal Reports handle the reporting - Free Crystal Reports 2008
> 30-Day 
> trial. Simplify your report design, integration and deployment - and focus
> on 
> what you do best, core application coding. Discover what's new with 
> Crystal Reports now.  http://p.sf.net/sfu/bobj-july
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 

-- 
View this message in context: http://www.nabble.com/Hiding-data-via-legend-tp24802219p25531267.html
Sent from the matplotlib - users mailing list archive at Nabble.com.