如何使用OHLC图表在Matplotlib上添加一个滑块选择器？

import matplotlib.pyplot as plt
from matplotlib.widgets import Slider

fig, ax = plt.subplots()

# 假设有一个包含OHLC数据的列表
ohlc_data = [(1, 2, 0.5, 1.5), (1.2, 2.5, 0.8, 1.9), (1.5, 3, 1, 2.5), ...]

# 提取OHLC数据中的各个部分
opens = [data[0] for data in ohlc_data]
highs = [data[1] for data in ohlc_data]
lows = [data[2] for data in ohlc_data]
closes = [data[3] for data in ohlc_data]

# 绘制OHLC图表
ax.plot(opens, color='blue', label='Open')
ax.plot(highs, color='green', label='High')
ax.plot(lows, color='red', label='Low')
ax.plot(closes, color='black', label='Close')

# 添加图例
ax.legend()

# 创建一个滑块选择器
slider_ax = plt.axes([0.1, 0.05, 0.8, 0.03], facecolor='lightgoldenrodyellow')
slider = Slider(slider_ax, '选择数据范围', 0, len(ohlc_data)-1, valinit=0)

def update(val):
    # 获取滑块选择器的值
    index = int(slider.val)
    
    # 更新图表数据
    ax.clear()
    ax.plot(opens[:index+1], color='blue', label='Open')
    ax.plot(highs[:index+1], color='green', label='High')
    ax.plot(lows[:index+1], color='red', label='Low')
    ax.plot(closes[:index+1], color='black', label='Close')
    ax.legend()
    
    # 重新绘制图表
    fig.canvas.draw_idle()

# 将更新函数与滑块选择器的事件绑定
slider.on_changed(update)

plt.show()