This great! Thanks for the speedy response. I will have to try this out on a
large dataset.
I have already seen an issue when clicking near two points that are close
together, then the browser selects both points. but the key browsing helps
alot to get around that. This is a great starting point for our analysis
though. Thanks again.
John Hunter-4 wrote:
>
> On 6/14/07, jkitchin <[EMAIL PROTECTED]> wrote:
>>
>> I just learned about the (new?) picker features in matplotlib. That is a
>> fantastic development!
>> Someone else mentioned about having a problem though when the points are
>> clustered together, which brings me to my question:
>>
>> Is there a way to "browse" through the data points using the tab key?
>> What I
>> envision is that a particular point would have a "focus" because it had
>> previously been picked, and then you would press a key (such as tab) and
>> it
>> would move the focus to another point, in essence picking another point
>> in
>> the data set.
>>
>
> The TAB key is a little problematic, because it is already used by
> some GUI toolkits, but this kind of thing is fairly easy to do. MPL
> gives you access to the button press events, key press events, etc, so
> all you have to do is connect up the callbacks to what you want your
> figure to do.
>
> Here is an example of a "data browser" which uses 'n' and 'p' to move
> through the next and previous points after a mouse select.
>
> import numpy as npy
> from pylab import figure, show
>
>
> X = npy.random.rand(100, 200)
> xs = npy.mean(X, axis=1)
> ys = npy.std(X, axis=1)
>
> fig = figure()
> ax = fig.add_subplot(211)
> ax.set_title('click on point to plot time series')
> line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance
> ax2 = fig.add_subplot(212)
>
> class PointBrowser:
> """
> Click on a point to select and highlight it -- the data that
> generated the point will be shown in the lower axes. Use the 'n'
> and 'p' keys to browse through the next and pervious points
> """
> def __init__(self):
> self.lastind = 0
>
> self.text = ax.text(0.05, 0.95, 'selected: none',
> transform=ax.transAxes, va='top')
> self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
> color='yellow', visible=False)
>
> def onpress(self, event):
> if self.lastind is None: return
> if event.key not in ('n', 'p'): return
> if event.key=='n': inc = 1
> else: inc = -1
>
>
> self.lastind += inc
> self.lastind = npy.clip(self.lastind, 0, len(xs)-1)
> self.update()
>
> def onpick(self, event):
>
> if event.artist!=line: return True
>
> N = len(event.ind)
> if not N: return True
>
> # the click locations
> x = event.mouseevent.xdata
> y = event.mouseevent.ydata
>
>
> distances = npy.hypot(x-xs[event.ind], y-ys[event.ind])
> indmin = distances.argmin()
> dataind = event.ind[indmin]
>
> self.lastind = dataind
> self.update()
>
> def update(self):
> if self.lastind is None: return
>
> dataind = self.lastind
>
> ax2.cla()
> ax2.plot(X[dataind])
>
> ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f'%(xs[dataind],
> ys[dataind]),
> transform=ax2.transAxes, va='top')
> ax2.set_ylim(-0.5, 1.5)
> self.selected.set_visible(True)
> self.selected.set_data(xs[dataind], ys[dataind])
>
> self.text.set_text('selected: %d'%dataind)
> fig.canvas.draw()
>
>
> browser = PointBrowser()
>
> fig.canvas.mpl_connect('pick_event', browser.onpick)
> fig.canvas.mpl_connect('key_press_event', browser.onpress)
>
> show()
>
>
>> Can that be done in a straight-forward way? Thanks,
>>
>> j
>> --
>> View this message in context:
>> http://www.nabble.com/plot-data-point-browsing-tf3922973.html#a11124244
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
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>>
>
> import numpy as npy
> from pylab import figure, show
>
>
> X = npy.random.rand(100, 200)
> xs = npy.mean(X, axis=1)
> ys = npy.std(X, axis=1)
>
> fig = figure()
> ax = fig.add_subplot(211)
> ax.set_title('click on point to plot time series')
> line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance
> ax2 = fig.add_subplot(212)
>
> class PointBrowser:
> """
> Click on a point to select and highlight it -- the data that
> generated the point will be shown in the lower axes. Use the 'n'
> and 'p' keys to browse through the next and pervious points
> """
> def __init__(self):
> self.lastind = 0
>
> self.text = ax.text(0.05, 0.95, 'selected: none',
> transform=ax.transAxes, va='top')
> self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
> color='yellow', visible=False)
>
> def onpress(self, event):
> if self.lastind is None: return
> if event.key not in ('n', 'p'): return
> if event.key=='n': inc = 1
> else: inc = -1
>
>
> self.lastind += inc
> self.lastind = npy.clip(self.lastind, 0, len(xs)-1)
> self.update()
>
> def onpick(self, event):
>
> if event.artist!=line: return True
>
> N = len(event.ind)
> if not N: return True
>
> # the click locations
> x = event.mouseevent.xdata
> y = event.mouseevent.ydata
>
>
> distances = npy.hypot(x-xs[event.ind], y-ys[event.ind])
> indmin = distances.argmin()
> dataind = event.ind[indmin]
>
> self.lastind = dataind
> self.update()
>
> def update(self):
> if self.lastind is None: return
>
> dataind = self.lastind
>
> ax2.cla()
> ax2.plot(X[dataind])
>
> ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f'%(xs[dataind],
> ys[dataind]),
> transform=ax2.transAxes, va='top')
> ax2.set_ylim(-0.5, 1.5)
> self.selected.set_visible(True)
> self.selected.set_data(xs[dataind], ys[dataind])
>
> self.text.set_text('selected: %d'%dataind)
> fig.canvas.draw()
>
>
> browser = PointBrowser()
>
> fig.canvas.mpl_connect('pick_event', browser.onpick)
> fig.canvas.mpl_connect('key_press_event', browser.onpress)
>
> show()
>
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>
--
View this message in context:
http://www.nabble.com/plot-data-point-browsing-tf3922973.html#a11129890
Sent from the matplotlib - users mailing list archive at Nabble.com.
-------------------------------------------------------------------------
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Download DB2 Express C - the FREE version of DB2 express and take
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