.. _pylab_examples-boxplot_demo: pylab_examples example code: boxplot_demo.py ============================================ .. plot:: /home/tcaswell/source/p/matplotlib/doc/mpl_examples/pylab_examples/boxplot_demo.py :: import matplotlib.pyplot as plt import numpy as np # fake up some data spread = np.random.rand(50) * 100 center = np.ones(25) * 50 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 data = np.concatenate((spread, center, flier_high, flier_low), 0) # basic plot plt.boxplot(data) # notched plot plt.figure() plt.boxplot(data, 1) # change outlier point symbols plt.figure() plt.boxplot(data, 0, 'gD') # don't show outlier points plt.figure() plt.boxplot(data, 0, '') # horizontal boxes plt.figure() plt.boxplot(data, 0, 'rs', 0) # change whisker length plt.figure() plt.boxplot(data, 0, 'rs', 0, 0.75) # fake up some more data spread = np.random.rand(50) * 100 center = np.ones(25) * 40 flier_high = np.random.rand(10) * 100 + 100 flier_low = np.random.rand(10) * -100 d2 = np.concatenate((spread, center, flier_high, flier_low), 0) data.shape = (-1, 1) d2.shape = (-1, 1) # data = concatenate( (data, d2), 1 ) # Making a 2-D array only works if all the columns are the # same length. If they are not, then use a list instead. # This is actually more efficient because boxplot converts # a 2-D array into a list of vectors internally anyway. data = [data, d2, d2[::2, 0]] # multiple box plots on one figure plt.figure() plt.boxplot(data) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)