我有一个以这种方式绘制子图的绘图：fig = make_subplots(    rows=4,    cols=1,    subplot_titles=("Price, orders and positions", "Margin use", "PnL and fees", "Volume traded"),    row_heights=[0.5, 0.2, 0.2, 0.1],    vertical_spacing=0.1)# price, orders, etcfig.add_traces(    [        # draw price, average price and min / max        go.Scatter(name='Price', x=df.index, y=df['price'], mode='lines', line=dict(color='rgba(31, 119, 180, 1.)')),        go.Scatter(name='Average Price', x=df.index, y=df['average_price'], mode='lines', line=dict(color='rgba(31, 119, 180, 0.5)')),        go.Scatter(x=df.index, y=df['price_max'], mode='lines', marker=dict(color="#444"), line=dict(width=0), showlegend=False),        go.Scatter(x=df.index, y=df['price_min'], marker=dict(color="#444"), line=dict(width=0), mode='lines', fillcolor='rgba(68, 68, 68, 0.3)', fill='tonexty', showlegend=False),        # draw the long / short orders        go.Scatter(name='Long Open Price', x=df.index, y=df['orderlo_price'], mode='lines', line=dict(color='rgb(180, 119, 31)')),        go.Scatter(name='Long Close Price', x=df.index, y=df['orderlc_price'], mode='lines', line=dict(width=2, color='rgb(220, 159, 31)')),        go.Scatter(name='Short Open Price', x=df.index, y=df['orderso_price'], mode='lines', line=dict(color='rgb(119, 180, 31)')),        go.Scatter(name='Short Close Price', x=df.index, y=df['ordersc_price'], mode='lines', line=dict(width=2, color='rgb(159, 220, 31)')),        # add the position        go.Scatter(name='position', x=df.index, y=df['position_price'], mode='lines', line=dict(color='rgb(240, 200, 40)'))    ],    rows=[1, 1, 1, 1, 1, 1, 1, 1, 1],    cols=[1, 1, 1, 1, 1, 1, 1, 1, 1])如何确保所有子图在 X 轴缩放和平移方面都是同步的？现在，您可以放大一个子图，突然间该子图中的图形与其他子图没有关系。