Hello,
This is apparently a known issue in the statsmodels library. The current version is not compatiple with newer versions of scipy. More info here.
One possible workaround (and there are a few) is to use sklearn to do the model fitting and derive the OLS regression line. For example,
Server code (full Python 3)
import anvil.server
import plotly.graph_objects as go
#import statsmodels.api as sm
from sklearn.linear_model import LinearRegression
import numpy as np
@anvil.server.callable
def ols_plot():
X=[5, 15, 25, 35, 45, 55]
Y=[5, 20, 14, 32, 22, 38]
x = np.array(X).reshape((-1, 1))
y = np.array(Y)
model = LinearRegression().fit(x, y)
y_pred = model.predict(x)
data = [
go.Scatter(
x = X,
y = Y,
mode='markers',
name='data'
),
go.Scatter(
x = X,
y = y_pred,
mode='lines',
name='OLS fit'
)
]
return data
Client code
data=anvil.server.call('ols_plot')
self.plot_1.data=data
