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 are the steps to create the desired plot:
- Define the figure and axes for 3D plotting:
fig = plt.figure(figsize=(10,8))ax = fig.gca(projection='3d')
- Load data for the Loss, theta1, and theta2 variables:
# Read Loss, theta0 and theta1 valuesLoss = pd.read_excel('Loss.xlsx')theta0_vals = pd.read_excel('theta0.xlsx')theta1_vals = pd.read_excel('theta1.xlsx')
- Prepare X and Y coordinates using np.meshgrid:
X, Y = np.meshgrid(theta0_vals, theta1_vals)
- Draw the contour plot:
# Plot contour curvescset = ax.contour(X, Y, Loss, np.logspace(-2,3,100), cmap=cm.coolwarm)
- Draw the colorbar:
fig.colorbar(cset, shrink=0.5, aspect=5)
- Set the labels:
ax.set_xlabel('theta0')ax.set_ylabel('theta1')ax.set_zlabel('Loss')
- Display ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.