8000 ported wx to new backend · matplotlib/matplotlib@5506786 · GitHub
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Commit 5506786

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jdh2358jdh2358
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ported wx to new backend
svn path=/trunk/matplotlib/; revision=119
1 parent 7f73fb0 commit 5506786

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‎examples/anim.py

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#!/usr/bin/env python2.3
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import matplotlib.matlab
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import gtk
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import Numeric
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fig = matplotlib.matlab.figure(1)
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ind = Numeric.arange(60)
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x_tmp=[]
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for i in range(100):
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x_tmp.append(Numeric.sin((ind+i)*Numeric.pi/15.0))
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X=Numeric.array(x_tmp)
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lines = matplotlib.matlab.plot(X[:,0],'o')
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manager = matplotlib.matlab.get_current_fig_manager()
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def updatefig(*args):
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updatefig.count += 1
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if updatefig.count>59: updatefig.count=0
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lines[0].set_data(ind,X[:,updatefig.count])
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manager.canvas.draw()
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return gtk.TRUE
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updatefig.count=-1
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gtk.timeout_add(25,updatefig)
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matplotlib.matlab.show()

‎examples/bar_stacked.py

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# a stacked bar plot with errorbars
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from matplotlib.matlab import *
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N = 5
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menMeans = (20, 35, 30, 35, 27)
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womenMeans = (25, 32, 34, 20, 25)
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menStd = (2, 3, 4, 1, 2)
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womenStd = (3, 5, 2, 3, 3)
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ind = arange(N) # the x locations for the groups
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width = 0.35 # the width of the bars: can also be len(x) sequence
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p1 = bar(ind, menMeans, width, color='r', yerr=womenStd)
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p2 = bar(ind, womenMeans, width, color='y',
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bottom=menMeans, yerr=menStd)
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ylabel('Scores')
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title('Scores by group and gender')
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set(gca(), 'xticks', ind+(width/2))
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set(gca(), 'xticklabels', ('G1', 'G2', 'G3', 'G4', 'G5') )
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set(gca(), 'xlim', [-width,len(ind)])
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set(gca(), 'yticks', arange(0,81,10))
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legend( (p1[0], p2[0]), ('Men', 'Women') )
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show()

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