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Matplotlib 3.0 Cookbook
book

Matplotlib 3.0 Cookbook

by Srinivasa Rao Poladi, Nikhil Borkar
October 2018
Beginner to intermediate
676 pages
18h 30m
English
Packt Publishing
Content preview from Matplotlib 3.0 Cookbook

How it works...

Here is the explanation of the code.

This is the first plot:

  • R, p = pearsonr(wine_quality['fixed acidity'], wine_quality.pH) computes R and p values for the given data distribution. R2 and p values indicate the quality of the fit to the data.
  • g1=sns.regplot() plots the regression curve along with a scatter plot of the original data points:
    • truncate=True specifies to fit the curve only till the available data points. The default is to extend it to both ends of the axes.
    • ci=99 specifies to plot a 99% confidence interval around the linear curve.
    • marker='D' plots the points in a diamond shape, instead of the default circles.
    • scatter_kws={'color': 'r'} is the scatter plot keyword dictionary with properties to be used. Plot the ...
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Publisher Resources

ISBN: 9781789135718