3D plot limitations and alternatives 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]

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AAxes2D

Bplot3d

CAxes3D

Dplot2d

Attempts:

3 left

💡 Hint

Common Mistakes

Using plot3d which does not exist.

Confusing 2D and 3D plotting modules.

The Axes3D module is used to create 3D plots in matplotlib.

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medium

Complete the code to create a 3D scatter plot using matplotlib.

Matplotlib

ax = fig.add_subplot(111, projection=[1])
ax.scatter(x, y, z)

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A'3d'

B'scatter'

C'2d'

D'plot3d'

Attempts:

3 left

💡 Hint

Common Mistakes

Using '2d' projection for 3D plots.

Passing 'scatter' as projection which is invalid.

The projection='3d' argument tells matplotlib to create a 3D plot.

3fill in blank

hard

Fix the error in the code to correctly set axis labels for a 3D plot.

Matplotlib

ax.set_xlabel('X axis')
ax.set_ylabel('Y axis')
ax.[1]('Z axis')

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Aset_z_axis

Bset_z

Clabel_z

Dset_zlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using set_z_axis which does not exist.

Trying to use label_z which is invalid.

The correct method to label the Z axis in a 3D plot is set_zlabel.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that filters points with z > 0 and squares x values.

Matplotlib

filtered_points = {x: x[1]2 for x, z in points.items() if z [2] 0}

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A**

B>

C<

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using * instead of ** for squaring.

Using < instead of > for filtering.

We square x using **2 and filter points where z is greater than 0 using >.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that converts keys to uppercase, keeps values, and filters values > 10.

Matplotlib

result = [1]: [2] for k, v in data.items() if v [3] 10}

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Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using k.lower() instead of k.upper().

Using < instead of > for filtering.

We convert keys to uppercase with k.upper(), keep values as v, and filter values greater than 10 with >.