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:
- g = sns.jointplot() plots the required joint plot of the three graphs.
- kind='reg' specifies to plot a regression plot.
- marginal_kws=dict(bins=15, fit=norm, rug=True, color='darkblue') is the dictionary of parameters to be applied to the marginal axes graphs. They are applicable to both the top and right marginal axes, but not related to joint plot objects:
- bins=15 is the number of bins for the histogram to be plotted; by default, a histogram is plotted.
- fit=norm specifies to fit a normal distribution curve for the given data.
- rug=True, plots the rug plot for the given data.
- color='darkblue' is the color to be used for all the elements of both marginal axes.
- space=0.1 ...
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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.