3D scatter 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'

AAxes2D

BAxes3D

Cscatter3d

Dplot3d

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot3d' which is not a valid import.

Confusing 2D and 3D axes names.

The 3D plotting toolkit in matplotlib is called Axes3D. Importing it allows us to create 3D plots.

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'2d'

B'scatter'

C'3d'

D'plot3d'

Attempts:

3 left

💡 Hint

Common Mistakes

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

Using 'scatter' or 'plot3d' which are not valid projection strings.

To create a 3D subplot, the projection argument must be set to '3d'.

3fill in blank

hard

Fix the error in the code to plot a 3D scatter plot with x, y, z data.

Matplotlib

ax.scatter([1], y, z)

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Az

B[x]

CX

Dx

Attempts:

3 left

💡 Hint

Common Mistakes

Using uppercase 'X' which is undefined.

Passing a list with brackets which is unnecessary.

Passing 'z' instead of 'x' for the x-axis.

The variable x must be passed exactly as it is to the scatter function to plot the x-coordinates.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length if the length is greater than 3.

Matplotlib

{word: [1] for word in words if [2]

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Alen(word)

Blen(word) > 3

Cword > 3

Dlen(words) > 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'word > 3' which compares a string to a number.

Using 'len(words) > 3' which checks the length of the whole list.

The dictionary comprehension maps each word to its length using len(word). The condition filters words with length greater than 3 using len(word) > 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their values if the value is greater than 0.

Matplotlib

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

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Ak.upper()

Bv

Cv > 0

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using k.lower() instead of uppercase.

Filtering with k > 0 which compares string to number.

Mapping keys to keys instead of values.

The dictionary comprehension maps the uppercase version of the key k.upper() to its value v, filtering only those pairs where the value is greater than zero v > 0.