Contour plots visualize 3D scalar fields $Z = f(X, Y)$ on a 2D page by drawing lines of constant value (isolines), identical to geographic elevation maps or weather pressure maps.
Topographical hiking map showing mountain elevation rings.
`levels=10` creates 10 discrete elevation bands. Passing an explicit list `levels=[-1, -0.5, 0, 0.5, 1]` specifies exact threshold values.
plt.contourf(X, Y, Z, levels=20, cmap='plasma')Avoid the top errors and bad plotting practices that trip up new Python developers
Switch from abstract numbers to relatable Cricket, Cinema & Business charts
Write Matplotlib code to solve the objective and see your live plot render
Create meshgrid for `x=np.linspace(-2, 2, 30)`, `y=np.linspace(-2, 2, 30)`, compute `Z = X**2 + Y**2`, and draw `plt.contourf(X, Y, Z, cmap='plasma')`.
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