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 are the steps to draw a surface plot:
- Define the figure and axes for 3D plotting:
fig = plt.figure(figsize=(10,8))ax = fig.gca(projection='3d')
- Read the data for the surface plot:
# 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')
- Create a meshgrid for the X and Y coordinates for a range of values of theta0 and theta1:
X, Y = np.meshgrid(theta0_vals, theta1_vals)
- Plot the surface graph:
# Plot surface graphsurf = ax.plot_surface(X, Y, Loss, cmap='plasma')
- Add the colorbar to the figure:
fig.colorbar(surf, shrink=0.5, aspect=5)
- Set the labels for the figure:
ax.set_xlabel('theta0')ax.set_ylabel('theta1') ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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