如何解决在python中以plotly的方式在金融图中添加阈值线
我正在 python 中的 Plotly 中绘制金融子图，我能够成功。但是我需要在第二个子图中绘制阈值线（水平线），但无法绘制相同的图。
但我能够在独立图中成功绘制阈值线。
我的具有三个阈值线的独立绘图代码
fig = go.Figure(data=[go.Scatter(x=VipData['Date'],y=VipData['RSI5'],name='RSI5')])
fig.update_layout(
title='VIP Stock',yaxis_title='Price',xaxis_title='Period',shapes=[# Top Threshold line
{
'type': 'line','xref': 'paper','x0': 0,'y0': 70,# use absolute value or variable here
'x1': 1,'y1': 70,# ditto
'line': {
'color': 'rgb(0,100,0)','width': 1,'dash': 'dash',},# Bottom Threshold Line
{
'type': 'line','y0': 30,'y1': 30,# ditto
'line': {
'color': 'rgb(255,# Middle Threshold Line
{
'type': 'line','y0': 50,'y1': 50,],xaxis=dict(
rangeselector=dict(
buttons=list([
dict(count=1,label="1m",step="month",stepmode="backward"),dict(count=6,label="6m",dict(count=1,label="YTD",step="year",stepmode="todate"),label="1y",dict(step="all")
])
),rangeslider=dict(
visible=True
),type="date"
)
)
fig.show()
fig = make_subplots(
rows=2,cols=1,shared_xaxes=True,vertical_spacing=0.01,specs=[[{"type": "Candlestick"}],[{"type": "scatter"}]]
)
fig.add_trace(go.Candlestick(x=VipData['Date'].tail(30),open=VipData['Open'].tail(30),high=VipData['High'].tail(30),low=VipData['Low'].tail(30),close=VipData['Close'].tail(30),name='Candlestick'),row=1,col=1)
fig.add_trace(go.Scatter(x=VipData['Date'].tail(30),y=VipData['RSI5'].tail(30),name='RSI5'),row=2,col=1)
fig.update_layout(xaxis_rangeslider_visible=False)
感谢您的时间和指导。
问候 苏迪尔
添加根据@As11 共享的代码创建的图
样本数据
Index Date Open High Low Close Volume RSI5 RSI7 RSI14 RSI20
4629 2021-02-24 381.899994 396.500000 366.200012 384.000000 432314 70.793970 68.529922 62.909907 60.583804
4630 2021-02-25 388.799988 403.500000 385.049988 391.799988 595109 78.694615 74.588730 66.485293 63.246338
4631 2021-02-26 389.950012 414.950012 381.000000 400.700012 1657646 84.626277 79.772785 70.034771 66.004475
4632 2021-03-01 409.399994 412.500000 396.000000 406.149994 1564155 87.327001 82.345797 71.990981 67.573037
4633 2021-03-02 408.350006 412.799988 396.049988 398.000000 974849 65.739595 67.389979 65.142286 62.997502
4634 2021-03-03 402.700012 418.000000 396.799988 408.549988 601591 75.528227 74.409265 69.223823 66.123166
4635 2021-03-04 410.000000 422.000000 406.799988 409.950012 1203652 76.635561 75.234577 69.730348 66.518241
4636 2021-03-05 416.799988 417.899994 400.950012 411.399994 757044 77.928511 76.163442 70.275987 66.938582
4637 2021-03-08 416.399994 416.399994 405.600006 409.299988 474313 70.832312 71.624317 68.354198 65.681480
4638 2021-03-09 412.500000 412.500000 400.100006 402.899994 447689 52.589322 59.100838 62.724568 61.949272
4639 2021-03-10 405.000000 405.000000 397.799988 401.000000 374909 48.001544 55.726081 61.115323 60.868426
4640 2021-03-12 403.000000 406.750000 390.000000 392.850006 387427 32.704021 43.340983 54.639686 56.423455
4641 2021-03-15 391.500000 392.000000 379.049988 384.200012 351942 22.985685 33.987634 48.737186 52.167366
4642 2021-03-16 386.500000 387.149994 376.450012 379.899994 398165 19.402892 30.206902 46.072717 50.186440
4643 2021-03-17 375.350006 388.899994 373.049988 380.450012 812165 21.362683 31.346550 46.475797 50.439827
4644 2021-03-18 387.000000 387.000000 366.250000 372.399994 282166 14.785330 24.512076 41.577488 46.774263
4645 2021-03-19 373.000000 381.250000 370.000000 376.250000 394137 28.032068 32.699461 44.585582 48.652822
4646 2021-03-22 379.750000 380.950012 371.000000 375.399994 257526 26.878940 31.810773 44.046361 48.256999
4647 2021-03-23 372.149994 382.000000 372.000000 373.149994 234016 23.658731 29.347633 42.578426 47.187317
4648 2021-03-24 373.149994 376.950012 361.000000 367.399994 571290 17.110434 23.843211 39.001213 44.531932
4649 2021-03-25 365.399994 366.750000 352.250000 357.299988 292795 10.642696 17.223262 33.652906 40.335152
4650 2021-03-26 363.500000 363.500000 348.000000 350.299988 260489 8.017250 14.065566 30.528256 37.740355
4651 2021-03-30 351.049988 356.950012 338.700012 347.250000 367289 7.067658 12.866452 29.253742 36.658738
4652 2021-03-31 349.000000 357.250000 347.500000 354.149994 248493 30.384842 28.871121 35.785243 40.705512
4653 2021-04-01 357.000000 361.200012 351.000000 354.450012 192683 31.321411 29.527758 36.061654 40.878392
4654 2021-04-05 354.450012 354.450012 339.000000 342.200012 275972 18.570212 20.508825 30.322389 36.326258
4655 2021-04-06 345.000000 348.799988 340.000000 343.399994 237563 22.436682 23.190015 31.472914 37.049091
4656 2021-04-07 343.700012 347.350006 340.200012 342.500000 232796 21.480478 22.525218 31.058690 36.719996
4657 2021-04-08 345.750000 347.000000 341.399994 343.600006 255827 26.280462 25.567863 32.232666 37.434998
4658 2021-04-09 345.399994 345.500000 340.000000 341.000000 144333 22.259995 23.069502 30.893569 36.411390
解决方法
我无法重现您的图表，因为我没有您正在使用的数据，但是根据我的了解，您应该能够通过执行与之前相同的操作来获得阈值线独立的情节。所以完整的代码应该是这样的：
fig = make_subplots(
rows=2,cols=1,shared_xaxes=True,vertical_spacing=0.01,specs=[[{"type": "Candlestick"}],[{"type": "scatter"}]]
)
fig.add_trace(go.Candlestick(x=VipData['Date'].tail(30),open=VipData['Open'].tail(30),high=VipData['High'].tail(30),low=VipData['Low'].tail(30),close=VipData['Close'].tail(30),name='Candlestick'),row=1,col=1)
fig.add_trace(go.Scatter(x=VipData['Date'].tail(30),y=VipData['RSI5'].tail(30),name='RSI5'),row=2,col=1)
fig.update_layout(xaxis_rangeslider_visible=False)
fig.update_layout(
title='VIP Stock',yaxis_title='Price',xaxis_title='Period',shapes=[# Top Threshold line
{
'type': 'line','xref': 'paper','yref': 'y2','x0': 0,'y0': 70,# use absolute value or variable here
'x1': 1,'y1': 70,# ditto
'line': {
'color': 'rgb(0,100,0)','width': 1,'dash': 'dash',},# Bottom Threshold Line
{
'type': 'line','y0': 30,'y1': 30,# ditto
'line': {
'color': 'rgb(255,# Middle Threshold Line
{
'type': 'line','y0': 50,'y1': 50,],xaxis=dict(
rangeselector=dict(
buttons=list([
dict(count=1,label="1m",step="month",stepmode="backward"),dict(count=6,label="6m",dict(count=1,label="YTD",step="year",stepmode="todate"),label="1y",dict(step="all")
])
),rangeslider=dict(
visible=True
),type="date"
)
)
fig.show()
要在第二个子图上显示它，您必须在每个线条形状中添加 'yref':'y2'，如上面的代码所示。
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