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, etc
fig.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。
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