Regression plot Plotly in Python

Question

I am wondering if plotly provides any way to to regression plots which show the scattering of the residues.

It should look similarly as if seaborn was used:

import seaborn as sns; sns.set_theme(color_codes=True)
tips = sns.load_dataset("tips")
ax = sns.regplot(x="total_bill", y="tip", data=tips)

I answered a similar question here. you can create a regplot in seaborn and extract the array representing the upper and lower array and fill the area in between. if you like, i would be happy to circle back and provide an answer when i have a moment later — Derek O
– Derek O, Commented Mar 9, 2022 at 5:36

micro5 · Accepted Answer · 2022-03-09 09:38:46Z

1

try this: use trendline parameters for similar expression as sns regplot.

import plotly.express as px
fig = px.scatter(tips,x = 'total_bill',y= 'tip', trendline='ols',trendline_color_override='red')

answered Mar 9, 2022 at 9:38

micro5

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