了解plotlys olc趋势线

如何解决了解plotlys olc趋势线

我正在尝试计算一些回归线。数据由+2个数据点组成。我正在使用plotly express进行可视化以及检索趋势线斜率和截距值。

我正在做的事的例子：

import plotly.express as px
import datetime


dataBank={'Date': {1480: 1605101400000,1481: 1605101700000,1482: 1605102000000,1483: 1605102300000,1484: 1605102600000,1485: 1605102900000,1486: 1605103200000,1487: 1605103500000,1488: 1605103800000,1489: 1605104100000,1490: 1605104400000,1491: 1605104700000,1492: 1605105000000,1493: 1605105300000,1494: 1605105600000,1495: 1605105900000,1496: 1605106200000,1497: 1605106500000,1498: 1605106800000,1499: 1605107100000},'Data': {1480: 15641.8,1481: 15644.77,1482: 15606.79,1483: 15613.0,1484: 15610.01,1485: 15569.64,1486: 15591.02,1487: 15600.97,1488: 15615.15,1489: 15589.17,1490: 15591.47,1491: 15607.16,1492: 15583.8,1493: 15617.69,1494: 15637.94,1495: 15654.0,1496: 15643.99,1497: 15644.0,1498: 15615.0,1499: 15607.26}}

val={'Date': {0: 1605104700000,1: 1605106200000},'Value': {0: 15612.59,1: 15661.55}}

dataBank=pd.DataFrame(dataBank)
val=pd.DataFrame(val)

fig = px.scatter(val,x="Date",y="Value",trendline="ols")

fig.add_scatter(x=dataBank.Date,y=dataBank.Data)
fig.show()
    
fit_results = px.get_trendline_results(fig).px_fit_results.iloc[0]
m=fit_results.params[1]
b=fit_results.params[0]
 
x=datetime.datetime.Now()

x=x.timestamp()

y=(m*x) + b
print(y)

然而，这总是情节最终的样子：

该线水平拟合在两个点之间。但这不是我想要的。我想要一条可以跨越两个点的线，以使这些点具有斜率。

我想念什么？