在python中plotly的财务图中添加阈值行

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', 'xref': 'paper', 'x0': 0, 'y0': 30, # use absolute value or variable here 'x1': 1, 'y1': 30, # ditto 'line': { 'color': 'rgb(255, 0, 0)', 'width': 1, 'dash': 'dash', }, }, # Middle Threshold Line { 'type': 'line', 'xref': 'paper', 'x0': 0, 'y0': 50, # use absolute value or variable here 'x1': 1, 'y1': 50, # ditto 'line': { 'color': 'rgb(0, 0, 0)', 'width': 1, 'dash': 'dash', }, }, ], xaxis=dict( rangeselector=dict( buttons=list([ dict(count=1, label="1m", step="month", stepmode="backward"), dict(count=6, label="6m", step="month", stepmode="backward"), dict(count=1, label="YTD", step="year", stepmode="todate"), dict(count=1, label="1y", step="year", stepmode="backward"), 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)

问候苏希尔

添加根据@As11共享的代码创建的绘图

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

1条回答

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1楼 · 发布于 2024-09-30 06:18:21

我无法复制您的图形，因为我没有您正在使用的数据，但根据我的计算结果，您应该能够通过执行与独立绘图相同的操作来获得阈值线。因此，完整的代码应该如下所示：

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',
                        'xref': 'paper',
                        'yref': 'y2',
                        'x0': 0,
                        'y0': 30, # use absolute value or variable here
                        'x1': 1,
                        'y1': 30, # ditto
                        'line': {
                            'color': 'rgb(255, 0, 0)',
                            'width': 1,
                            'dash': 'dash',
                        },
                    },
    # Middle Threshold Line
                    {
                        'type': 'line',
                        'xref': 'paper',
                        'yref': 'y2',
                        'x0': 0,
                        'y0': 50, # use absolute value or variable here
                        'x1': 1,
                        'y1': 50, # ditto
                        'line': {
                            'color': 'rgb(0, 0, 0)',
                            'width': 1,
                            'dash': 'dash',
                        },
                    },
       ],
                      xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(count=1,
                     label="1m",
                     step="month",
                     stepmode="backward"),
                dict(count=6,
                     label="6m",
                     step="month",
                     stepmode="backward"),
                dict(count=1,
                     label="YTD",
                     step="year",
                     stepmode="todate"),
                dict(count=1,
                     label="1y",
                     step="year",
                     stepmode="backward"),
                dict(step="all")
            ])
        ),
        rangeslider=dict(
            visible=True
        ),
        type="date"
    )
)

fig.show()

要在第二个子图上显示它，必须在每个线型中添加'yref':'y2'，如上面的代码所示

问候苏希尔

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