3D bar charts 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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Aplot3d

BAxes3D

Cbar3d

Dfigure3d

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to import plot3d instead of Axes3D.

Using bar3d which is a method, not a class.

Importing figure3d which does not exist.

The Axes3D class is needed to create 3D plots in matplotlib.

2fill in blank

medium

Complete the code to create a 3D axes object from a matplotlib figure.

Matplotlib

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

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A'2d'

B'xyz'

C'3D'

D'3d'

Attempts:

3 left

💡 Hint

Common Mistakes

Using uppercase '3D' instead of lowercase '3d'.

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

Using 'xyz' which is not a valid projection.

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

3fill in blank

hard

Fix the error in the code to plot a 3D bar chart with correct bar widths.

Matplotlib

ax.bar3d(x, y, z, [1], dy, dz, color='blue')

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Adx

Bx

Cwidth

Dheight

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'x' instead of 'dx' for width.

Using 'width' or 'height' which are not parameter names.

Confusing dy and dz with dx.

The bar3d method requires dx as the width of bars along the x-axis.

4fill in blank

hard

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

Matplotlib

lengths = {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 whole list length.

Putting the condition in the wrong place.

The dictionary maps each word to its length using len(word). The condition checks if the length is greater than 3 with len(word) > 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their counts if count is greater than 1.

Matplotlib

result = [1]: [2] for [3], [2] in data.items() if [2] > 1

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Aword.upper()

Bcount

Cword

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Using data instead of word in the loop.

Using word instead of count in the value.

Not filtering counts greater than 1.

The comprehension maps the uppercase version of each word (word.upper()) to its count (count) for word, count in data.items() if the count is greater than 1.