Transformation of the visualization from the coast on the Bokeh

Question

I need a similar visualization as shown below using Bokeh . Since I'm new to Bokeh , I might be wondering if there is any code that will be concise, as below, using Seaborn ?

The focus is on writing code for the same visualization in Bokeh

data set

data = pd.read_csv('http://www-bcf.usc.edu/~gareth/ISL/Advertising.csv',index_col = 0)

Building a dataset

import seaborn as sns  

sns.pairplot(data, x_vars = ['TV', 'Radio','Newspaper'], y_vars = ['Sales'],               
             size =7, aspect =.7, kind = 'reg')

In addition, the code in Seaborn does not require entering the best line . It automatically generates the best graphics on the chart with a confidence interval shadow . Is such a construction possible in the bokeh?

Answer 1

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