Highlight and annotate pattern in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib pyplot module with the common alias.

Matplotlib

import matplotlib.[1] as plt

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

Aplot

Bpyplot

Cgraph

Dcharts

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'plot' instead of 'pyplot' causes import errors.

Trying to import 'graph' or 'charts' which are not matplotlib modules.

The matplotlib module for plotting is called pyplot. We import it as plt to use its plotting functions easily.

2fill in blank

medium

Complete the code to plot a line graph using x and y data.

Matplotlib

plt.[1](x, y)
plt.show()

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

Ahist

Bscatter

Cbar

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'scatter' plots points but does not connect them with lines.

Using 'bar' or 'hist' creates different chart types.

The plot function draws a line graph connecting points from x and y data.

3fill in blank

hard

Fix the error in the code to add an annotation at point (2, 4) with text 'Peak'.

Matplotlib

plt.annotate('Peak', xy=(2, 4), xytext=[1], arrowprops=dict(facecolor='black'))
plt.show()

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

A(3, 5)

B[3, 5]

C'3, 5'

D3, 5

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list instead of a tuple for xytext.

Passing coordinates as a string or separate arguments.

The xytext parameter expects a tuple for the text position, so (3, 5) is correct.

4fill in blank

hard

Fill both blanks to highlight the region between x=1 and x=3 with a light blue color.

Matplotlib

plt.fill_between(x, y, where=(x [1] 1) & (x [2] 3), color='lightblue', alpha=0.5)
plt.show()

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

A>=

B<=

C<

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' or '>' incorrectly reverses the highlighted region.

Not using both conditions combined with &.

To highlight between x=1 and x=3, we select points where x is greater or equal to 1 and less or equal to 3.

5fill in blank

hard

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

Matplotlib

lengths = { [1]: [2] for [3] in words if len([3]) > 3 }

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

Aword

Blen(word)

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names inconsistently.

Not filtering words by length > 3.

The dictionary comprehension uses word as the key, len(word) as the value, and iterates over word in words. The condition filters words longer than 3 characters.