Why color matters in visualization in Matplotlib - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib library for plotting.

Matplotlib

import [1] as plt

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

Apandas

Bseaborn

Cmatplotlib.pyplot

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the whole matplotlib instead of pyplot.

Using unrelated libraries like pandas or numpy.

We import matplotlib.pyplot as plt to create plots.

2fill in blank

medium

Complete the code to create a simple line plot with x and y data.

Matplotlib

plt.plot([1], [1, 4, 9, 16])
plt.show()

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

A[1, 2, 3, 4]

B['a', 'b', 'c', 'd']

C[10, 20, 30, 40]

D[0, 0, 0, 0]

Attempts:

3 left

💡 Hint

Common Mistakes

Using strings instead of numbers for x values.

Using lists of different length than y values.

The x values should be numeric and match the length of y values.

3fill in blank

hard

Fix the error in the code to set the color of the line to blue.

Matplotlib

plt.plot([1, 2, 3, 4], [1, 4, 9, 16], color=[1])
plt.show()

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

A'yellow'

B'red'

C'green'

D'blue'

Attempts:

3 left

💡 Hint

Common Mistakes

Not using quotes around the color name.

Using a color name that is not recognized.

The color parameter expects a string with the color name in quotes.

4fill in blank

hard

Fill both blanks to create a scatter plot with red points and label the x-axis.

Matplotlib

plt.scatter([1, 2, 3], [4, 5, 6], color=[1])
plt.xlabel([2])
plt.show()

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

A'red'

B'blue'

C'X Axis'

D'Y Axis'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up x-axis and y-axis labels.

Using color names without quotes.

The scatter points color is set to red and the x-axis label is 'X Axis'.

5fill in blank

hard

Fill all three blanks to create a bar chart with green bars, set the title, and label the y-axis.

Matplotlib

plt.bar(['A', 'B', 'C'], [5, 7, 3], color=[1])
plt.title([2])
plt.ylabel([3])
plt.show()

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

A'green'

B'Sales Data'

C'Quantity'

D'blue'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong color names or missing quotes.

Confusing title and axis labels.

The bars are green, the chart title is 'Sales Data', and the y-axis label is 'Quantity'.