# ----------------------------------------------------------------------------- # Copyright (c) 2015, Nicolas P. Rougier. All Rights Reserved. # Distributed under the (new) BSD License. See LICENSE.txt for more info. # ----------------------------------------------------------------------------- import numpy as np import matplotlib.pyplot as plt n = 16 X = np.arange(n) Y1 = (1-X/float(n)) * np.random.uniform(0.5,1.0,n) Y2 = (1-X/float(n)) * np.random.uniform(0.5,1.0,n) plt.bar(X, +Y1, facecolor='#9999ff', edgecolor='white') plt.bar(X, -Y2, facecolor='#ff9999', edgecolor='white') plt.xlim(-.5,n), plt.xticks([]) plt.ylim(-1,+1), plt.yticks([]) plt.text(-0.05, 1.05, " Bar Plot \n\n", horizontalalignment='left', verticalalignment='top', family='Lint McCree Intl BB', size='x-large', bbox=dict(facecolor='white', alpha=1.0, width=375, height=65), transform = plt.gca().transAxes) plt.text(-0.05, .975, " Make a bar plot with rectangles ", horizontalalignment='left', verticalalignment='top', family='Lint McCree Intl BB', size='medium', transform = plt.gca().transAxes) # plt.savefig('../figures/bar.png', dpi=64) plt.show()