例如我们要统计和国获取的金牌，银牌、铜牌的数据

统计主要参赛国家的奖牌数据，因此每个坐标上其实要画三个柱图，只不过每个柱图的篇移要重新计算。

import numpy as npimport matplotlib as mplimport matplotlib.pyplot as pltcountries = ['USA', 'GB', 'China', 'Russia', 'Germany']bronzes = np.array([38, 17, 26, 19, 15])silvers = np.array([37, 23, 18, 18, 10])golds = np.array([46, 27, 26, 19, 17])ind = [x for x, _ in enumerate(countries)]plt.bar(ind, golds, width=0.8, label='golds', color='gold', bottom=silvers+bronzes)plt.bar(ind, silvers, width=0.8, label='silvers', color='silver', bottom=bronzes)plt.bar(ind, bronzes, width=0.8, label='bronzes', color='#CD853F') plt.xticks(ind, countries)plt.ylabel("Medals")plt.xlabel("Countries")plt.legend(loc="upper right")plt.title("2012 Scorers")plt.show()

构造奖牌数据

bronzes = np.array([38, 17, 26, 19, 15])silvers = np.array([37, 23, 18, 18, 10])golds = np.array([46, 27, 26, 19, 17])

计算底部偏 移量 bottomc参数实际等于前面两个奖牌的数据之和,依此类推

plt.bar(ind, golds, width=0.8, label='golds', color='gold', bottom=silvers+bronzes)

plt.bar(ind, silvers, width=0.8, label='silvers', color='silver', bottom=bronzes)

如何将X方向的刻度 显示为标题

plt.xticks(ind, countries)

仔细发现横向，纵向的标签字体有点小，修改一下

对比一下label的字体大小

'''Created on 2023年1月2日@author: admin'''import numpy as npimport matplotlib as mplimport matplotlib.pyplot as pltcountries = ['USA', 'GB', 'China', 'Russia', 'Germany']bronzes = np.array([38, 17, 26, 19, 15])silvers = np.array([37, 23, 18, 18, 10])golds = np.array([46, 27, 26, 19, 17])ind = [x for x, _ in enumerate(countries)]plt.bar(ind, golds, width=0.8, label='golds', color='gold', bottom=silvers+bronzes)plt.bar(ind, silvers, width=0.8, label='silvers', color='silver', bottom=bronzes)plt.bar(ind, bronzes, width=0.8, label='bronzes', color='#CD853F')font2 = {'family' : 'Times New Roman',    'weight' : 'normal',    'size' : 28,}plt.xticks(ind, countries)plt.ylabel("Medals",font2)plt.xlabel("Countries",font2)plt.legend(loc="upper right")plt.title("2012 Scorers")plt.show()

最后是运行视频

视频加载中...