.. _statistics-violinplot_demo: statistics example code: violinplot_demo.py =========================================== .. plot:: /home/tcaswell/source/my_source/matplotlib/doc/mpl_examples/statistics/violinplot_demo.py :: """ Demo of the new violinplot functionality """ import random import numpy as np import matplotlib.pyplot as plt # fake data fs = 10 # fontsize pos = [1, 2, 4, 5, 7, 8] data = [np.random.normal(size=100) for i in pos] fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6)) axes[0, 0].violinplot(data, pos, points=20, widths=0.1, showmeans=True, showextrema=True, showmedians=True) axes[0, 0].set_title('Custom violinplot 1', fontsize=fs) axes[0, 1].violinplot(data, pos, points=40, widths=0.3, showmeans=True, showextrema=True, showmedians=True, bw_method='silverman') axes[0, 1].set_title('Custom violinplot 2', fontsize=fs) axes[0, 2].violinplot(data, pos, points=60, widths=0.5, showmeans=True, showextrema=True, showmedians=True, bw_method=0.5) axes[0, 2].set_title('Custom violinplot 3', fontsize=fs) axes[1, 0].violinplot(data, pos, points=80, vert=False, widths=0.7, showmeans=True, showextrema=True, showmedians=True) axes[1, 0].set_title('Custom violinplot 4', fontsize=fs) axes[1, 1].violinplot(data, pos, points=100, vert=False, widths=0.9, showmeans=True, showextrema=True, showmedians=True, bw_method='silverman') axes[1, 1].set_title('Custom violinplot 5', fontsize=fs) axes[1, 2].violinplot(data, pos, points=200, vert=False, widths=1.1, showmeans=True, showextrema=True, showmedians=True, bw_method=0.5) axes[1, 2].set_title('Custom violinplot 6', fontsize=fs) for ax in axes.flatten(): ax.set_yticklabels([]) fig.suptitle("Violin Plotting Examples") fig.subplots_adjust(hspace=0.4) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)