WOW - I delayed my bed time when I saw this come in.
It certainly seems to do what I want in your example.
Tomorrow at work I'll try and fit it into my frame work, and see what
happens.
Thanks a lot,
Steve
John Hunter wrote:
> On 6/14/07, Stephen George <[EMAIL PROTECTED]> wrote:
>
>> So my questions.
>> 1) Is there a way to get the indexes (not the values) of the portion of
>> the line actually showing on screen
>> 2) Is there a way to get a copy of the portion of the data displayed on
>> screen (in a new array) ?
>> 3) Is there a better way of linking psd so it performs the spectrum
>> analysis only on the portion of data on screen?
>
> I just updated the span selector example in svn to show you how to do
> this. You select a region in the upper graph with a mouse drag, and
> it plots the detail of the selected region in the lower graph. You
> should be able to modify this to plot the psd of the selected region,
> etc....
>
> #!/usr/bin/env python
> """
> The SpanSelector is a mouse widget to select a xmin/xmax range and
> plot the
> detail view of the selected region in the lower axes
> """
> import numpy as npy
> from pylab import figure, show
> from matplotlib.widgets import SpanSelector
>
> fig = figure(figsize=(8,6))
> ax = fig.add_subplot(211, axisbg='#FFFFCC')
>
> x = npy.arange(0.0, 5.0, 0.01)
> y = npy.sin(2*npy.pi*x) + 0.5*npy.random.randn(len(x))
>
> ax.plot(x, y, '-')
> ax.set_ylim(-2,2)
> ax.set_title('Press left mouse button and drag to test')
>
> ax2 = fig.add_subplot(212, axisbg='#FFFFCC')
> line2, = ax2.plot(x, y, '-')
>
>
> def onselect(xmin, xmax):
> indmin, indmax = npy.searchsorted(x, (xmin, xmax))
> indmax = min(len(x)-1, indmax)
>
> thisx = x[indmin:indmax]
> thisy = y[indmin:indmax]
> line2.set_data(thisx, thisy)
> ax2.set_xlim(thisx[0], thisx[-1])
> ax2.set_ylim(thisy.min(), thisy.max())
> fig.canvas.draw()
>
> # set useblit True on gtkagg for enhanced performance
> span = SpanSelector(ax, onselect, 'horizontal', useblit=False,
> rectprops=dict(alpha=0.5, facecolor='red') )
>
>
> show()
>
>>
>> *
>> *Thanks for your help
>> Steve
>>
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> ------------------------------------------------------------------------
>
> #!/usr/bin/env python
> """
> The SpanSelector is a mouse widget to select a xmin/xmax range and plot the
> detail view of the selected region in the lower axes
> """
> import numpy as npy
> from pylab import figure, show
> from matplotlib.widgets import SpanSelector
>
> fig = figure(figsize=(8,6))
> ax = fig.add_subplot(211, axisbg='#FFFFCC')
>
> x = npy.arange(0.0, 5.0, 0.01)
> y = npy.sin(2*npy.pi*x) + 0.5*npy.random.randn(len(x))
>
> ax.plot(x, y, '-')
> ax.set_ylim(-2,2)
> ax.set_title('Press left mouse button and drag to test')
>
> ax2 = fig.add_subplot(212, axisbg='#FFFFCC')
> line2, = ax2.plot(x, y, '-')
>
>
> def onselect(xmin, xmax):
> indmin, indmax = npy.searchsorted(x, (xmin, xmax))
> indmax = min(len(x)-1, indmax)
>
> thisx = x[indmin:indmax]
> thisy = y[indmin:indmax]
> line2.set_data(thisx, thisy)
> ax2.set_xlim(thisx[0], thisx[-1])
> ax2.set_ylim(thisy.min(), thisy.max())
> fig.canvas.draw()
>
> # set useblit True on gtkagg for enhanced performance
> span = SpanSelector(ax, onselect, 'horizontal', useblit=False,
> rectprops=dict(alpha=0.5, facecolor='red') )
>
>
> show()
>
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