Python（饼图）
一、简单饼图
代码：
1 import matplotlib.pyplot as plt 2 3 # The slices will be ordered and plotted counter-clockwise. 4 labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' 5 sizes = [15, 30, 45, 10] 6 colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral'] 7 explode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. 'Hogs') 8 9 plt.pie(sizes, explode=explode, labels=labels, colors=colors, 10 autopct='%1.1f%%', shadow=True, startangle=90) 11 12 plt.axis('equal') 13 14 plt.show()
效果：
参考链接：python利用matplotlib库绘制饼图的方法示例
二、复合饼图
代码：
1 import matplotlib as mpl 2 import matplotlib.pyplot as plt 3 import numpy as np 4 from matplotlib.patches import ConnectionPatch 5 6 # 使图表元素中正常显示中文 7 mpl.rcParams['font.sans-serif'] = 'SimHei' 8 # 使坐标轴刻度标签正常显示负号 9 mpl.rcParams['axes.unicode_minus'] = False 10 11 # 画布 12 fig = plt.figure(figsize=(12, 6), facecolor='cornsilk') 13 ax1 = fig.add_subplot(121) 14 ax2 = fig.add_subplot(122) 15 fig.subplots_adjust(wspace=0) 16 17 # 定义数据 18 data = {'category': ['子', '丑', '寅', '卯', '辰'], 'quantity': [138, 181, 118, 107, 387]} 19 others = {'category': ['甲', '乙', '丙'], 'quantity': [98, 170, 119]} 20 21 # 大饼图 22 labs = data['category'] 23 quantity = data['quantity'] 24 explode = (0, 0, 0, 0, 0.03) # 分裂距离 25 26 ax1.pie(x=quantity, 27 colors=['r', 'g', 'm', 'c', 'y'], 28 explode=explode, 29 autopct='%1.1f%%', 30 startangle=70, 31 labels=labs, 32 textprops={'color': 'k', 'fontsize': 12, } 33 ) 34 35 # 小饼图 36 labs2 = others['category'] 37 quantity_2 = others['quantity'] 38 39 ax2.pie(x=quantity_2, 40 colors=['khaki', 'olive', 'gold'], 41 autopct='%1.1f%%', 42 startangle=70, 43 labels=labs2, 44 radius=0.5, 45 shadow=True, 46 textprops={'color': 'k', 'fontsize': 12, }, 47 ) 48 49 # 用 ConnectionPatch 画出两个饼图的间连线 50 ## 饼图边缘的数据 51 theta1 = ax1.patches[-1].theta1 52 theta2 = ax1.patches[-1].theta2 53 center = ax1.patches[-1].center 54 r = ax1.patches[-1].r 55 56 width = 0.2 57 # 上边缘的连线 58 x = r * np.cos(np.pi / 180 * theta2) + center[0] 59 y = np.sin(np.pi / 180 * theta2) + center[1] 60 con_a = ConnectionPatch(xyA=(-width / 2, 0.5), xyB=(x, y), 61 coordsA='data', coordsB='data', 62 axesA=ax2, axesB=ax1 63 ) 64 65 # 下边缘的连线 66 x = r * np.cos(np.pi / 180 * theta1) + center[0] 67 y = np.sin(np.pi / 180 * theta1) + center[1] 68 con_b = ConnectionPatch(xyA=(-width / 2, -0.5), xyB=(x, y), 69 coordsA='data', coordsB='data', 70 axesA=ax2, axesB=ax1 71 ) 72 73 for con in [con_a, con_b]: 74 con.set_linewidth(1) # 连线宽度 75 con.set_color = ([0, 0, 0]) # 连线颜色 76 ax2.add_artist(con) # 添加连线 77 78 plt.show()
效果：
