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...
Here is the step-by-step approach to plotting our graph:
- Load the Iris dataset and map the x and y coordinates using the sepal_length and sepal_width variables:
iris = pd.read_csv('iris_dataset.csv', delimiter=',')iris['species'] = iris['species'].map({"setosa" : 0, "versicolor" : 1, "virginica" : 2})x, y = iris['sepal_length'], iris['sepal_width']
- Define the figure and the main axes as follows:
plt.figure(1, (8., 6.))ax = plt.subplot(111)
- Plot the scatter graph with a colorbar on the right-hand side:
im = ax.scatter(x, y, c=iris.petal_length, s=100*iris.petal_width, cmap='viridis', alpha=0.7)plt.colorbar(im)
- Define the inset axes 1 properties as follows:
inset_ax1 = inset_axes(ax, width="40%", height=1., loc=4)
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