October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
The following code block plots Iris data twice on two different axes. One uses regular legend to indicate three different clusters with different colors and labels. The other uses a textbox within the cluster of points to indicate the class:
- Define the figure, size, and its layout:
fig, ax = plt.subplots(1,2, figsize=(10,6))
- Read the Iris dataset with pandas:
iris = pd.read_csv('iris_dataset.csv', delimiter=',')iris['species1'] = iris['species'].map({"setosa" : 0, "versicolor" : 1, "virginica" : 2})
- Plot a scatter plot with two of the attributes of the Iris dataset:
ax[0].scatter(iris.petal_length, iris.petal_width, s=10*iris.petal_length*iris.petal_width, c=iris.species1)
- Define the bounding box properties for the ...
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