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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<title>statistics example code: boxplot_demo.py — Matplotlib 1.5.3 documentation</title>

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<h1>statistics example code: boxplot_demo.py<a class="headerlink" href="#statistics-example-code-boxplot-demo-py" title="Permalink to this headline">¶</a></h1>

(<a class="reference external" href="../../mpl_examples/statistics/boxplot_demo.py">Source code</a>, <a class="reference external" href="../../mpl_examples/statistics/boxplot_demo_00_00.png">png</a>, <a class="reference external" href="../../mpl_examples/statistics/boxplot_demo_00_00.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/statistics/boxplot_demo_00_00.pdf">pdf</a>)

</div>

(<a class="reference external" href="../../mpl_examples/statistics/boxplot_demo_01_00.png">png</a>, <a class="reference external" href="../../mpl_examples/statistics/boxplot_demo_01_00.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/statistics/boxplot_demo_01_00.pdf">pdf</a>)

</div>

<div class="highlight-default"><div class="highlight"><pre>"""

Demo of the new boxplot functionality

"""

import numpy as np

import matplotlib.pyplot as plt

# fake data

np.random.seed(937)

data = np.random.lognormal(size=(37, 4), mean=1.5, sigma=1.75)

labels = list('ABCD')

fs = 10 # fontsize

# demonstrate how to toggle the display of different elements:

fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6))

axes[0, 0].boxplot(data, labels=labels)

axes[0, 0].set_title('Default', fontsize=fs)

axes[0, 1].boxplot(data, labels=labels, showmeans=True)

axes[0, 1].set_title('showmeans=True', fontsize=fs)

axes[0, 2].boxplot(data, labels=labels, showmeans=True, meanline=True)

axes[0, 2].set_title('showmeans=True,\nmeanline=True', fontsize=fs)

axes[1, 0].boxplot(data, labels=labels, showbox=False, showcaps=False)

axes[1, 0].set_title('Tufte Style \n(showbox=False,\nshowcaps=False)', fontsize=fs)

axes[1, 1].boxplot(data, labels=labels, notch=True, bootstrap=10000)

axes[1, 1].set_title('notch=True,\nbootstrap=10000', fontsize=fs)

axes[1, 2].boxplot(data, labels=labels, showfliers=False)

axes[1, 2].set_title('showfliers=False', fontsize=fs)

for ax in axes.flatten():

ax.set_yscale('log')

ax.set_yticklabels([])

fig.subplots_adjust(hspace=0.4)

plt.show()

# demonstrate how to customize the display different elements:

boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')

flierprops = dict(marker='o', markerfacecolor='green', markersize=12,

linestyle='none')

medianprops = dict(linestyle='-.', linewidth=2.5, color='firebrick')

meanpointprops = dict(marker='D', markeredgecolor='black',

markerfacecolor='firebrick')

meanlineprops = dict(linestyle='--', linewidth=2.5, color='purple')

axes[0, 0].boxplot(data, boxprops=boxprops)

axes[0, 0].set_title('Custom boxprops', fontsize=fs)

axes[0, 1].boxplot(data, flierprops=flierprops, medianprops=medianprops)

axes[0, 1].set_title('Custom medianprops\nand flierprops', fontsize=fs)

axes[1, 0].boxplot(data, meanprops=meanpointprops, meanline=False,

showmeans=True)

axes[1, 0].set_title('Custom mean\nas point', fontsize=fs)

axes[1, 1].boxplot(data, meanprops=meanlineprops, meanline=True, showmeans=True)

axes[1, 1].set_title('Custom mean\nas line', fontsize=fs)

axes[1, 2].boxplot(data, whis=[15, 85])

axes[1, 2].set_title('whis=[15, 85]\n#percentiles', fontsize=fs)

for ax in axes.flatten():

ax.set_yscale('log')

ax.set_yticklabels([])

fig.suptitle("I never said they'd be pretty")

plt.show()

</pre></div>

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Keywords: python, matplotlib, pylab, example, codex (see <a class="reference internal" href="../../faq/howto_faq.html#how-to-search-examples">Search examples</a>)

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