Python数据可视化：用Matplotlib绘制SKU1 Variation与Capacity关系图

import numpy as np import pandas as pd import matplotlib.pyplot as plt

x = np.arange(0, 90, 10) y1 = np.random.randint(130, 160, 90) y2 = np.random.randint(80000, 88000, 90)

plt.rcParams['font.sans-serif'] = ['KaiTi'] plt.rcParams['axes.unicode_minus'] = False fig = plt.figure(figsize=(8, 6)) plt.xlim(0, 90) plt.ylim(0, 90000) plt.xticks(np.arange(0, 100, 10), ['0', '10', '20', '30', '40', '50', '60', '70', '80', '90']) plt.yticks(np.arange(0, 100000, 10000), ['0', '1万', '2万', '3万', '4万', '5万', '6万', '7万', '8万', '9万']) plt.xlabel('Variation', labelpad=10, fontsize='xx-large', color='#70AD47', fontweight='bold') plt.ylabel('Capacity', labelpad=10, fontsize='xx-large', color='#70AD47', fontweight='bold') plt.grid(b=True, linestyle='dashed', linewidth=1) plt.title(label='SKU1 Variation与Capacity变化关系', loc='center')

for a, b in zip(x, y1): plt.text(a, b, str(b), ha='center', va='bottom', fontsize=11)

for a, b in zip(x, y2): plt.text(a, b, str(b), ha='center', va='bottom', fontsize=11)

plt.plot(np.arange(0, 90, 10), np.repeat(y1, 10), color='k', linestyle='solid', linewidth=1, marker='o', markersize=3, label='折线图')

width = 3 plt.bar(x - width / 2, y2, width=width, color='k', label='柱形图')

plt.legend(loc='upper left') plt.legend(ncol=2)

plt.annotate('服务器宕机了', xy=(60, 1), xytext=(70, 1), arrowprops=dict(facecolor='black', arrowstyle='->'))

plt.savefig('sku1.png') plt.show()