First time I use this great feature and I see a weird behaviour. Here is two examples with the version 4.14.3 of Plotly :
s_1 = np.arange(1, 2, 0.01) noise = np.random.normal(0, .1, s_1.shape) s_2 = (s_1 * 3) + noise fig = px.scatter(y=s_2, x=s_1, trendline='ols', color_discrete_sequence=[viz.blue], trendline_color_override=viz.pink) pio.show(fig)
fig = px.scatter(data_frame=df, y='pH', x='fixed_acidity', trendline='ols', color_discrete_sequence=[viz.blue], trendline_color_override=viz.pink) pio.show(fig)
We can see that the ols should find a best fit line withou any issue according to the datapoints.
Here is the issue:
Again, this is the first time I use this feature, so I don’t know if there is a a procedure to follow since the tutorial on the documentation doesn’t present any kind of refinement other that the “lowess” argument for non-linear relations.
Here is a dropbox export of the numpy array if needed.
Thank you !