Colorblind-friendly palettes in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib library with the common alias.

Matplotlib

import [1] as plt

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

Amatplotlib.pyplot

Bmatplotlib

Cpyplot

Dmpl

Attempts:

3 left

💡 Hint

Common Mistakes

Importing 'matplotlib' as plt instead of 'matplotlib.pyplot'

Using an uncommon alias like 'mpl'

We import matplotlib.pyplot as plt to access plotting functions.

2fill in blank

medium

Complete the code to create a colorblind-friendly palette using seaborn.

Matplotlib

palette = sns.color_palette("[1]")

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

Acolorblind

Bdeep

Cpastel

Dbright

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'deep' or 'bright' palettes which are not optimized for colorblindness

Misspelling the palette name

The 'colorblind' palette in seaborn is designed to be friendly for colorblind viewers.

3fill in blank

hard

Fix the error in the code to apply a colorblind-friendly palette to a bar plot.

Matplotlib

sns.barplot(x='category', y='value', data=df, palette=[1])

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

A"colorblind"

Bpalette.colorblind

Ccolorblind

Dsns.color_palette("colorblind")

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the palette name without quotes (syntax error)

Using an undefined variable 'colorblind'

The palette argument accepts a list of colors, which sns.color_palette("colorblind") returns. (Note: "colorblind" string also works.)

4fill in blank

hard

Fill both blanks to create a dictionary of colors from the colorblind palette for categories 'A' and 'B'.

Matplotlib

colors = {'A': palette[[1]], 'B': palette[[2]]}

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A0

B1

C2

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Using indexes starting at 1 instead of 0

Using the same index for both categories

The first two colors in the colorblind palette are at indexes 0 and 1.

5fill in blank

hard

Fill all three blanks to create a scatter plot with colorblind-friendly colors and a legend.

Matplotlib

for cat, color in colors.items():
    subset = df[df['category'] == [1]]
    plt.scatter(subset['x'], subset['y'], color=[2], label=[3])
plt.legend()

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

Acat

Bcolor

Dsubset

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong variable names for filtering or labeling

Mixing up color and category variables

We filter by category 'cat', use the color variable for color, and label points by 'cat'.