3D surface plots in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the 3D plotting toolkit from matplotlib.

Matplotlib

from mpl_toolkits.mplot3d import [1]

Drag options to blanks, or click blank then click option'

Aplot3d

Bplot_surface

Csurface3d

DAxes3D

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot3d' which does not exist.

Trying to import 'surface3d' or 'plot_surface' which are not importable classes.

The 3D plotting toolkit in matplotlib is imported using Axes3D from mpl_toolkits.mplot3d.

2fill in blank

medium

Complete the code to create a 3D subplot in matplotlib.

Matplotlib

fig = plt.figure()
ax = fig.add_subplot(111, projection=[1])

Drag options to blanks, or click blank then click option'

A'3d'

B'3D'

C'2d'

D'surface'

Attempts:

3 left

💡 Hint

Common Mistakes

Using uppercase '3D' which causes an error.

Using '2d' which creates a 2D plot.

Using 'surface' which is not a valid projection.

To create a 3D subplot, the projection parameter must be set to the string '3d' (all lowercase).

3fill in blank

hard

Fix the error in the code to generate X, Y meshgrid for surface plotting.

Matplotlib

x = np.linspace(-5, 5, 50)
y = np.linspace(-5, 5, 50)
X, Y = np.[1](x, y)

Drag options to blanks, or click blank then click option'

Ameshgrid

Bmgrid

Clinspace

Darange

Attempts:

3 left

💡 Hint

Common Mistakes

Using mgrid which is an object, not a function.

Using linspace or arange which generate 1D arrays only.

The function np.meshgrid creates coordinate matrices from coordinate vectors, which is needed for 3D surface plots.

4fill in blank

hard

Fill both blanks to complete the code that computes Z values for the surface plot.

Matplotlib

Z = np.sin(np.sqrt(X[1] + Y[2]))

Drag options to blanks, or click blank then click option'

A**2

B+

C*2

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using addition or multiplication instead of squaring.

Using different operators for X and Y.

To compute Z, we square X and Y, then add them inside the square root. So both blanks should be **2.

5fill in blank

hard

Fill all three blanks to create a 3D surface plot with labels.

Matplotlib

fig = plt.figure()
ax = fig.add_subplot(111, projection=[1])
ax.plot_surface(X, Y, Z, cmap=[2])
ax.set_xlabel([3])

Drag options to blanks, or click blank then click option'

A'3d'

B'viridis'

C'X axis'

D'2d'

Attempts:

3 left

💡 Hint

Common Mistakes

Using '2d' as projection causing errors.

Using invalid colormap names.

Not using quotes around axis label.

The projection must be '3d' for 3D plotting. The colormap 'viridis' is a common choice. The x-axis label should be a string like 'X axis'.