October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How it works...
Here is the explanation of the code.
This is the first plot:
- snacks_sales.Smoothies and snacks_sales.Pies are the variables to be plotted.
- kernel='epa' specifies the kernel method (Epanechnikov) to be used to fit the KDE. Other available options are gau (Gaussian/normal), cos (cosine), biw (biweight), triw (triweight), and tri (triangular). For more details, please refer to http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV0405/MISHRA/kde.html.
- n_levels=25 specifies the number of contours to be plotted.
- cmap='Reds' specifies the colormap to be used.
- cbar=True specifies to plot the colorbar.
This is the second plot:
- Cookies_temp = snacks_sales.Cookies + 500 increases the values of all observations by 500, so that ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.