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DOC: added examples
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‎examples/statistics/boxplot_demo.py

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"""
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Demo of the new boxplot functionality
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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# fake data
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np.random.seed(937)
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data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
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labels = list('ABCD')
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fs = 10 # fontsize
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# demonstrate how to toggle the display of different elements:
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fig, axes = plt.subplots(nrows=2, ncols=3)
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axes[0, 0].boxplot(data, labels=labels)
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axes[0, 0].set_title('Default', fontsize=fs)
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axes[0, 1].boxplot(data, labels=labels, showmeans=True)
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axes[0, 1].set_title('showmeans=True', fontsize=fs)
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axes[0, 2].boxplot(data, labels=labels, showmeans=True, meanline=True)
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axes[0, 2].set_title('showmeans=True, meanline=True', fontsize=fs)
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axes[1, 0].boxplot(data, labels=labels, showbox=False, showcaps=False)
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axes[1, 0].set_title('Tufte Style (showbox=False, showcaps=False)', fontsize=fs)
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axes[1, 1].boxplot(data, labels=labels, notch=True, bootstrap=10000)
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axes[1, 1].set_title('notch=True, bootstrap=10000', fontsize=fs)
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axes[1, 2].boxplot(data, labels=labels, showfliers=False)
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axes[1, 2].set_title('showfliers=False', fontsize=fs)
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for ax in axes.flatten():
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ax.set_yscale('log')
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ax.set_yticklabels([])
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plt.show()
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# demonstrate how to customize the display different elements:
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boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
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flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
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linestyle='none')
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medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
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meanpointprops = dict(marker='D', markeredgecolor='black',
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markerfacecolor='firebrick')
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meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
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fig, axes = plt.subplots(nrows=2, ncols=3)
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axes[0, 0].boxplot(data, boxprops=boxprops)
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axes[0, 0].set_title('Custom boxprops', fontsize=fs)
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axes[0, 1].boxplot(data, flierprops=flierprops, medianprops=medianprops)
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axes[0, 1].set_title('Custom medianprops and flierprops', fontsize=fs)
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axes[0, 2].boxplot(data, whis='range')
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axes[0, 2].set_title('whis="range"', fontsize=fs)
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axes[1, 0].boxplot(data, meanprops=meanpointprops, meanline=False,
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showmeans=True)
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axes[1, 0].set_title('Custom mean as point', fontsize=fs)
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axes[1, 1].boxplot(data, meanprops=meanlineprops, meanline=True, showmeans=True)
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axes[1, 1].set_title('Custom mean as line', fontsize=fs)
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axes[1, 2].boxplot(data, whis=[15, 85])
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axes[1, 2].set_title('whis=[15, 85] #percentiles', fontsize=fs)
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for ax in axes.flatten():
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ax.set_yscale('log')
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ax.set_yticklabels([])
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fig.suptitle("I never said they'd be pretty")
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plt.show()

‎examples/statistics/bxp_demo.py

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"""
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Demo of the new boxplot drawer function
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.cbook as cbook
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# fake data
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np.random.seed(937)
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data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)
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labels = list('ABCD')
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# compute the boxplot stats
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stats = cbook.boxplot_stats(data, labels=labels, bootstrap=10000)
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# After we've computed the stats, we can go through and change anything.
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# Just to prove it, I'll set the median of each set to the median of all
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# the data, and double the means
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for n in range(len(stats)):
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stats[n]['med'] = np.median(data)
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stats[n]['mean'] *= 2
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print(stats[0].keys())
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fs = 10 # fontsize
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# demonstrate how to toggle the display of different elements:
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fig, axes = plt.subplots(nrows=2, ncols=3)
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axes[0, 0].bxp(stats)
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axes[0, 0].set_title('Default', fontsize=fs)
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axes[0, 1].bxp(stats, showmeans=True)
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axes[0, 1].set_title('showmeans=True', fontsize=fs)
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axes[0, 2].bxp(stats, showmeans=True, meanline=True)
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axes[0, 2].set_title('showmeans=True, meanline=True', fontsize=fs)
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axes[1, 0].bxp(stats, showbox=False, showcaps=False)
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axes[1, 0].set_title('Tufte Style (showbox=False, showcaps=False)', fontsize=fs)
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axes[1, 1].bxp(stats, shownotches=True)
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axes[1, 1].set_title('notch=True', fontsize=fs)
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axes[1, 2].bxp(stats, showfliers=False)
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axes[1, 2].set_title('showfliers=False', fontsize=fs)
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for ax in axes.flatten():
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ax.set_yscale('log')
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ax.set_yticklabels([])
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plt.show()
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# demonstrate how to customize the display different elements:
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boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
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flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
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linestyle='none')
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medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')
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meanpointprops = dict(marker='D', markeredgecolor='black',
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markerfacecolor='firebrick')
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meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')
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fig, axes = plt.subplots(nrows=2, ncols=2)
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axes[0, 0].bxp(stats, boxprops=boxprops)
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axes[0, 0].set_title('Custom boxprops', fontsize=fs)
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axes[0, 1].bxp(stats, flierprops=flierprops, medianprops=medianprops)
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axes[0, 1].set_title('Custom medianprops and flierprops', fontsize=fs)
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axes[1, 0].bxp(stats, meanprops=meanpointprops, meanline=False,
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showmeans=True)
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axes[1, 0].set_title('Custom mean as point', fontsize=fs)
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axes[1, 1].bxp(stats, meanprops=meanlineprops, meanline=True, showmeans=True)
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axes[1, 1].set_title('Custom mean as line', fontsize=fs)
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for ax in axes.flatten():
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ax.set_yscale('log')
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ax.set_yticklabels([])
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fig.suptitle("I never said they'd be pretty")
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plt.show()

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