如何使用Python绘制多条y轴范围不同的曲线，然后把它们合并在一张图上显示

import matplotlib.pyplot as plt
import numpy as npdef multilines(target, x, ys, types, colors, x_label, labels):"""用来绘制多条y轴范围不同的线，并在一张图上显示"""# fig, ax = plt.subplots(figsize=(16, 4), dpi=200)# fig.subplots_adjust(left=0.2)twins = []twins.append(target[0])p = []for i in range(len(ys) - 1):twins.append(target[0].twinx())for i, label in enumerate(labels):temp_p, = twins[i].plot(x, ys[i], types[i], color=colors[i], label=label)p.append(temp_p)twins[0].set_xlabel(x_label)# twins[0].tick_params(axis='x', labelsize=20)pad = 0twin_lines = []twin_labels = []for i, twin in enumerate(twins):twin.set_ylabel(labels[i])twin.yaxis.set_label_position('left')twin.yaxis.set_ticks_position('left')twin.yaxis.label.set_color(p[i].get_color())twin.tick_params(axis='y', colors=p[i].get_color(), pad=pad)pad += 60temp_line, temp_label = twin.get_legend_handles_labels()twin_lines.append(temp_line)twin_labels.append(temp_label)final_line = twin_lines[0]final_label = twin_labels[0]for i in range(len(twin_lines) - 1):final_line += twin_lines[i + 1]final_label += twin_labels[i + 1]twins[0].legend(final_line, final_label, loc='best')if __name__ == '__main__':x = np.linspace(0, 10, 100)y1 = np.sin(x)y2 = 2 * np.cos(x)y3 = 0.5 * np.tan(x)fig, ax = plt.subplots(figsize=(16, 4), dpi=200)fig.subplots_adjust(left=0.2)multilines([ax], x, [y1, y2, y3], ['r-', 'b-', 'g-'], ['red', 'blue', 'green'], 'depth', ['y1', 'y2', 'y3'])plt.show()