Example showing a way to create a grouped bar chart with Matplotlib

看一看this:

import matplotlib import matplotlib.pyplot as plt import numpy as np men_means, men_std = (20, 35, 30, 35, 27), (2, 3, 4, 1, 2) women_means, women_std = (25, 32, 34, 20, 25), (3, 5, 2, 3, 3) ind = np.arange(len(men_means))# the x locations for the groupswidth = 0.35# the width of the barsfig, ax = plt.subplots() rects1 = ax.bar(ind - width/2, men_means, width, yerr=men_std, label='Men') rects2 = ax.bar(ind + width/2, women_means, width, yerr=women_std, label='Women')# Add some text for labels, title and custom x-axis tick labels, etc.ax.set_ylabel('Scores') ax.set_title('Scores by group and gender') ax.set_xticks(ind) ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5')) ax.legend() def autolabel(rects, xpos='center'):"""Attach a text label above each bar in *rects*, displaying its height.*xpos* indicates which side to place the text w.r.t. the center ofthe bar. It can be one of the following {'center', 'right', 'left'}."""ha = {'center': 'center', 'right': 'left', 'left': 'right'} offset = {'center': 0, 'right': 1, 'left': -1} for rect in rects: height = rect.get_height() ax.annotate('{}'.format(height), xy=(rect.get_x() + rect.get_width() / 2, height), xytext=(offset[xpos]*3, 3),# use 3 points offsettextcoords="offset points",# in both directionsha=ha[xpos], va='bottom') autolabel(rects1, "left") autolabel(rects2, "right") fig.tight_layout() plt.show()