.. _pylab_examples-anscombe: pylab_examples example code: anscombe.py ======================================== .. plot:: /home/tcaswell/src/p/matplotlib/doc/mpl_examples/pylab_examples/anscombe.py :: from __future__ import print_function """ Edward Tufte uses this example from Anscombe to show 4 datasets of x and y that have the same mean, standard deviation, and regression line, but which are qualitatively different. matplotlib fun for a rainy day """ import matplotlib.pyplot as plt import numpy as np x = np.array([10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5]) y1 = np.array([8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68]) y2 = np.array([9.14, 8.14, 8.74, 8.77, 9.26, 8.10, 6.13, 3.10, 9.13, 7.26, 4.74]) y3 = np.array([7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73]) x4 = np.array([8, 8, 8, 8, 8, 8, 8, 19, 8, 8, 8]) y4 = np.array([6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.50, 5.56, 7.91, 6.89]) def fit(x): return 3 + 0.5*x xfit = np.array([np.amin(x), np.amax(x)]) plt.subplot(221) plt.plot(x, y1, 'ks', xfit, fit(xfit), 'r-', lw=2) plt.axis([2, 20, 2, 14]) plt.setp(plt.gca(), xticklabels=[], yticks=(4, 8, 12), xticks=(0, 10, 20)) plt.text(3, 12, 'I', fontsize=20) plt.subplot(222) plt.plot(x, y2, 'ks', xfit, fit(xfit), 'r-', lw=2) plt.axis([2, 20, 2, 14]) plt.setp(plt.gca(), xticklabels=[], yticks=(4, 8, 12), yticklabels=[], xticks=(0, 10, 20)) plt.text(3, 12, 'II', fontsize=20) plt.subplot(223) plt.plot(x, y3, 'ks', xfit, fit(xfit), 'r-', lw=2) plt.axis([2, 20, 2, 14]) plt.text(3, 12, 'III', fontsize=20) plt.setp(plt.gca(), yticks=(4, 8, 12), xticks=(0, 10, 20)) plt.subplot(224) xfit = np.array([np.amin(x4), np.amax(x4)]) plt.plot(x4, y4, 'ks', xfit, fit(xfit), 'r-', lw=2) plt.axis([2, 20, 2, 14]) plt.setp(plt.gca(), yticklabels=[], yticks=(4, 8, 12), xticks=(0, 10, 20)) plt.text(3, 12, 'IV', fontsize=20) # verify the stats pairs = (x, y1), (x, y2), (x, y3), (x4, y4) for x, y in pairs: print('mean=%1.2f, std=%1.2f, r=%1.2f' % (np.mean(y), np.std(y), np.corrcoef(x, y)[0][1])) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)