Re: [Matplotlib-users] Drawing on plots

2011-05-12 Thread Soumyaroop Roy
I see. Thanks, Ben.

-Soumyaroop

On Thu, May 12, 2011 at 10:32 AM, Benjamin Root ben.r...@ou.edu wrote:
 On Thursday, May 12, 2011, Soumyaroop Roy roy.soumyar...@gmail.com wrote:
 Here's a short follow up question:
 Is there a concept of erasing in matplotlib? If I were to erase an
 axvline that I drew earlier, how would I do that? Can you use del to
 delete the object and then force a redraw?

 -Soumyaroop

 On Mon, May 2, 2011 at 11:35 AM, Soumyaroop Roy
 roy.soumyar...@gmail.com wrote:
 Thanks Justin. I have the event handling thing in place and was really
 looking for drawing options. Thanks for the tips. I'll look into them.
 regards,
 Soumyaroop

 On Mon, May 2, 2011 at 11:06 AM, Justin McCann jne...@gmail.com wrote:

 You'll want to use event handling to figure out where the user clicked,
 and then you have a couple of options: Axes.vlines(), or pylab.axvline(). 
 It
 seems like pylab.axvline() will always span the entire y-axis by default,
 but with Axes.vlines() you need to specify the ymin/ymax. Maybe someone 
 else
 knows of an argument to pass to Axes.vlines() that will always span the
 entire y-axis.
 Here's the code (assuming 'ipython -pylab'):
 
 fig = figure()
 plot([1,2,3,4], [5,6,7,8])
 def onclick(event):
     Draw a vertical line spanning the axes every time the user clicks
 inside them
     if event.inaxes: # make sure the click was within a set of axes
         pylab.axvline(event.xdata, axes=event.inaxes, color='r',
 linestyle=':') # red dotted line
         event.inaxes.figure.canvas.draw() # force a re-draw
 cid = fig.canvas.mpl_connect('button_press_event', onclick) # add the
 click handler
 ... interact with it
 fig.canvas.mpl_disconnect(cid) # get rid of the click-handler
 
 Docs:
 Axes.vlines():
 http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.vlines
 pyplot.axvline():
 http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvline
 Event
 handling: http://matplotlib.sourceforge.net/users/event_handling.html

 Example: http://matplotlib.sourceforge.net/examples/event_handling/data_browser.html
    Justin

 On Mon, May 2, 2011 at 10:08 AM, Soumyaroop Roy roy.soumyar...@gmail.com
 wrote:

 Any pointers on this?
 On Sat, Apr 30, 2011 at 12:34 AM, Soumyaroop Roy
 roy.soumyar...@gmail.com wrote:

 Hi there:
 I have an x-y plot and I want to draw a vertical marker (an x=c line) on
 the plot on a mouse click.
 How should I approach it?
 regards,
 Soumyaroop



 No, don't use del. If you save the object returned by the call to
 axvline, then you should be able to call its .remove() method.

 That should do the proper bookkeeping.

 Ben Root


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Re: [Matplotlib-users] Drawing on plots

2011-05-02 Thread Soumyaroop Roy
Any pointers on this?

On Sat, Apr 30, 2011 at 12:34 AM, Soumyaroop Roy
roy.soumyar...@gmail.comwrote:

 Hi there:

 I have an x-y plot and I want to draw a vertical marker (an x=c line) on
 the plot on a mouse click.

 How should I approach it?

 regards,
 Soumyaroop

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Re: [Matplotlib-users] Drawing on plots

2011-05-02 Thread Soumyaroop Roy
Thanks Justin. I have the event handling thing in place and was really
looking for drawing options. Thanks for the tips. I'll look into them.

regards,
Soumyaroop

On Mon, May 2, 2011 at 11:06 AM, Justin McCann jne...@gmail.com wrote:

 You'll want to use event handling to figure out where the user clicked, and
 then you have a couple of options: Axes.vlines(), or pylab.axvline(). It
 seems like pylab.axvline() will always span the entire y-axis by default,
 but with Axes.vlines() you need to specify the ymin/ymax. Maybe someone else
 knows of an argument to pass to Axes.vlines() that will always span the
 entire y-axis.

 Here's the code (assuming 'ipython -pylab'):
 

 fig = figure()
 plot([1,2,3,4], [5,6,7,8])

 def onclick(event):
 Draw a vertical line spanning the axes every time the user clicks
 inside them
 if event.inaxes: # make sure the click was within a set of axes
 pylab.axvline(event.xdata, axes=event.inaxes, color='r',
 linestyle=':') # red dotted line
 event.inaxes.figure.canvas.draw() # force a re-draw

 cid = fig.canvas.mpl_connect('button_press_event', onclick) # add the click
 handler

 ... interact with it

 fig.canvas.mpl_disconnect(cid) # get rid of the click-handler

 
 Docs:
 Axes.vlines():
 http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.vlines
 pyplot.axvline():
 http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvline

 Event handling:
 http://matplotlib.sourceforge.net/users/event_handling.html
 Example:
 http://matplotlib.sourceforge.net/examples/event_handling/data_browser.html

Justin

 On Mon, May 2, 2011 at 10:08 AM, Soumyaroop Roy 
 roy.soumyar...@gmail.comwrote:

 Any pointers on this?

 On Sat, Apr 30, 2011 at 12:34 AM, Soumyaroop Roy 
 roy.soumyar...@gmail.com wrote:

 Hi there:

 I have an x-y plot and I want to draw a vertical marker (an x=c line) on
 the plot on a mouse click.

 How should I approach it?

 regards,
 Soumyaroop




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 acquisition cost and overall TCO of any competing solution.
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[Matplotlib-users] Drawing on plots

2011-04-29 Thread Soumyaroop Roy
Hi there:

I have an x-y plot and I want to draw a vertical marker (an x=c line) on the
plot on a mouse click.

How should I approach it?

regards,
Soumyaroop
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[Matplotlib-users] Zooming into plots?

2011-01-26 Thread Soumyaroop Roy
Hi there:

Does matplotlib have provide any feature to allow zooming into plot
regions like a waveform viewer does?

regards,
Soumyaroop

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Re: [Matplotlib-users] Zooming into plots?

2011-01-26 Thread Soumyaroop Roy
Hi Ben:

That's encouraging!

I want to be able plot up to N data points (the points are in an
ordered sequence) on a canvas and then zoom into the plot region
enclosed within a subset sequence (e.g., T1 to T2 data points, 0 = T1
 T2 =N) by putting two cursors - one on T1 and the other one on T2.

regards,
Soumyaroop

On Wed, Jan 26, 2011 at 6:44 PM, Benjamin Root ben.r...@ou.edu wrote:
 On Wednesday, January 26, 2011, Soumyaroop Roy soumyar...@gmail.com wrote:
 Hi there:

 Does matplotlib have provide any feature to allow zooming into plot
 regions like a waveform viewer does?

 regards,
 Soumyaroop


 Mpl offers full control of the plot display.  Maybe if you offer an
 example of what you are looking for, we might be able to point you to
 a way to do what you want?

 Ben Root


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