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Commitd81498f

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Merge pull request#2474 from tonysyu/canonical-example-refactor
MEP12: Example clean-up for reference
2 parentscc654db +ef51dc3 commitd81498f

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‎examples/pylab_examples/histogram_demo_extended.py

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"""
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Demo of the histogram (hist) function used to plot a cumulative distribution.
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"""
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importnumpyasnp
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importmatplotlib.pyplotasplt
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frommatplotlibimportmlab
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mu=200
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sigma=25
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n_bins=50
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x=mu+sigma*np.random.randn(10000)
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n,bins,patches=plt.hist(x,n_bins,normed=1,
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histtype='step',cumulative=True)
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# Add a line showing the expected distribution.
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y=mlab.normpdf(bins,mu,sigma).cumsum()
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y/=y[-1]
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plt.plot(bins,y,'k--',linewidth=1.5)
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# Overlay a reversed cumulative histogram.
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plt.hist(x,bins=bins,normed=1,histtype='step',cumulative=-1)
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plt.grid(True)
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plt.ylim(0,1.05)
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plt.title('cumulative step')
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plt.show()
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"""
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Demo of the histogram (hist) function with different ``histtype`` settings.
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* Histogram with step curve that has a color fill.
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* Histogram with with unequal bin widths.
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"""
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importnumpyasnp
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importmatplotlib.pyplotasplt
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mu=200
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sigma=25
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x=mu+sigma*np.random.randn(10000)
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fig, (ax0,ax1)=plt.subplots(ncols=2,figsize=(8,4))
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ax0.hist(x,20,normed=1,histtype='stepfilled',facecolor='g',alpha=0.75)
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ax0.set_title('stepfilled')
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# Create a histogram by providing the bin edges (unequally spaced).
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bins= [100,150,180,195,205,220,250,300]
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ax1.hist(x,bins,normed=1,histtype='bar',rwidth=0.8)
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ax1.set_title('unequal bins')
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plt.tight_layout()
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plt.show()
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"""
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Demo of the histogram (hist) function with multiple data sets.
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Plot histogram with multiple sample sets and demonstrate:
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* Use of legend with multiple sample sets
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* Stacked bars
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* Step curve with a color fill
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* Data sets of different sample sizes
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"""
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importnumpyasnp
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importmatplotlib.pyplotasplt
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n_bins=10
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x=np.random.randn(1000,3)
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fig,axes=plt.subplots(nrows=2,ncols=2)
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ax0,ax1,ax2,ax3=axes.flat
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colors= ['red','tan','lime']
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ax0.hist(x,n_bins,normed=1,histtype='bar',color=colors,label=colors)
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ax0.legend(prop={'size':10})
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ax0.set_title('bars with legend')
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ax1.hist(x,n_bins,normed=1,histtype='bar',stacked=True)
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ax1.set_title('stacked bar')
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ax2.hist(x,n_bins,histtype='step',stacked=True,fill=True)
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ax2.set_title('stepfilled')
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# Make a multiple-histogram of data-sets with different length.
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x_multi= [np.random.randn(n)fornin [10000,5000,2000]]
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ax3.hist(x_multi,n_bins,histtype='bar')
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ax3.set_title('different sample sizes')
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plt.tight_layout()
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plt.show()

‎examples/tests/backend_driver.py

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files['statistics']= [
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'errorbar_demo.py',
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'errorbar_demo_features.py',
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'histogram_demo_cumulative.py',
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'histogram_demo_features.py',
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'histogram_demo_histtypes.py',
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'histogram_demo_multihist.py',
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]
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files['pie']= [
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'hexbin_demo.py',
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'hexbin_demo2.py',
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'hist_colormapped.py',
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'histogram_demo_extended.py',
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'vline_hline_demo.py',
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'image_clip_path.py',

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