python绘制旋风图

import matplotlib.pyplot as plt # 设置中文显示为微软雅黑 plt.rcParams['font.sans-serif'] = ['Microsoft YaHei'] x = ["得分","篮板","助攻","抢断","盖帽","失误","罚球","三分","犯规"] y = [107,35,26,8,3,10,10,11,22] z = [123,41,33,5,7,12,21,16,22] # 增加一个固定维度，长度与上述数据一样 fix_value = [] # 求出数据y和z的最大值，取其1/4的值作为固定长度 value_max = max(max(y), max(z)) fix_temp = value_max / 4 for i in range(len(x)): fix_value.append(fix_temp) # 将y，z其中一个维度变为负值，我们选择z z_ne = [-i for i in z] # 设置画布大小 plt.figure(figsize=(8, 5)) # 画条形图,设置颜色和柱宽，将fix_value,y,z_ne依次画进图中 plt.barh(x, fix_value, color='w', height=0.5) plt.barh(x, y, left=fix_value, color='#037171', label='y', height=0.5) plt.barh(x, z_ne, color='#FF474A', height=0.5, label='z') # 添加数据标签，将fix_value的x标签显示出来，y和z_ne的数据标签显示出来 for a, b in zip(x, fix_value): plt.text(b / 2, a, '%s' % str(a), ha='center', va='center', fontsize=12) for a, b in zip(x, y): plt.text(b + fix_temp + value_max / 20, a, '%d' % int(b), ha='center', va='center') for a, b in zip(x, z): plt.text(-b - value_max / 20, a, '%d' % int(b), ha='center', va='center') # 坐标轴刻度不显示 plt.xticks([]) plt.yticks([]) # 添加图例，自定义位置 plt.legend(labels=["","掘金","勇士"], loc="upper right",frameon=False) # 添加标题，并设置字体 plt.title(label='技术统计', fontsize=14, fontweight='bold') # 设置绘图区域边框不可见 ax = plt.gca() ax.set_axisbelow(True) # 设置绘图区域边框不可见 [ax.spines[loc_axis].set_visible(False) for loc_axis in ['bottom', 'top', 'right', 'left']] # 使布局更合理 plt.tight_layout() plt.show()