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 is the code to draw a contour plot of loss function in the given regression problem:
- Read the Loss, theta0, and theta1 values from saved files:
Loss = pd.read_excel('Loss.xlsx')theta0_vals = pd.read_excel('theta0.xlsx')theta1_vals = pd.read_excel('theta1.xlsx')
- Specify the figure size:
fig = plt.figure(figsize=(12,8))
- Create the mesh grid for the X and Y coordinates:
X, Y = np.meshgrid(theta0_vals, theta1_vals)
- Draw the contour plot and label contours with their corresponding loss values:
CS = plt.contour(X, Y, Loss, np.logspace(-2,3,20), cmap=cm.coolwarm) plt.clabel(CS, inline=1, fontsize=10)
- Display the contour plot on the screen:
plt.show()
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