Finish a chart properly

Choose and build · V02 · 8 MIN

Make a chart readable before sharing it.

Exercises within this concept

FollowFollow the techniqueCurrent exercise
ChangeAdapt a requirement
TransferChoose and combine

Understand the idea

A chart needs a title that says what is being shown and axis labels that identify the measurements and units.

Illustration · not the exercise output

A small example

x="temperature" selects data; xlabel="Temperature (°C)" changes the displayed label without renaming the data column.

Follow the code

Apply the idea to the supplied table. Read from top to bottom; the final line displays the result.

import matplotlib.pyplot as plt
import seaborn as sns

fig, ax = plt.subplots(figsize=(6, 4))
sns.scatterplot(data=df, x="hours", y="score", ax=ax)
ax.set(title="Study club", xlabel="hours", ylabel="score")
fig.tight_layout()
plt.show()

What each part does

ax.set(title=..., xlabel=..., ylabel=...): name the chart and axes
ax.set_title(...): change just the title
fig.tight_layout(): adjust spacing
plt.show(): display

Your inputs

The editable setup on the right creates df. Run executes the setup and your work from top to bottom.

Study club · 8 synthetic rows
student	club	hours	score	group
Ari	Art	1	52	A
Bo	Code	3	71	A
Cy	Art	2	65	B
Dee	Code	4	82	B
Eli	Art	5	89	A
Flo	Code	3	76	A
Gus	Art	6	93	B
Han	Code	2	61	B

Your task · Follow

Create a scatter plot from df, x=hours, y=score, at 6 by 4 inches.
Give the chart title "Study club" and axis labels "hours" and "score".
Finish with fig.tight_layout() and plt.show().
Use: set().

Hint

Axis labels describe the mapped measurements, while the title describes the question.

Reveal solution

One way to do it. Keep any supplied setup in the editor and use this in the Your work section.

import matplotlib.pyplot as plt
import seaborn as sns

fig, ax = plt.subplots(figsize=(6, 4))
sns.scatterplot(data=df, x="hours", y="score", ax=ax)
ax.set(title="Study club", xlabel="hours", ylabel="score")
fig.tight_layout()
plt.show()

Your task · Follow

Create a scatter plot from df, x=hours, y=score, at 6 by 4 inches.
Give the chart title "Study club" and axis labels "hours" and "score".
Finish with fig.tight_layout() and plt.show().
Use: set().

YOUR PYTHON

Tab: indent · Shift+Tab: outdent · Esc, then Tab: leave editor

# Supplied setup — editable
import pandas as pd

data = {
    "student": ["Ari", "Bo", "Cy", "Dee", "Eli", "Flo", "Gus", "Han"],
    "club": ["Art", "Code", "Art", "Code", "Art", "Code", "Art", "Code"],
    "hours": [1, 3, 2, 4, 5, 3, 6, 2],
    "score": [52, 71, 65, 82, 89, 76, 93, 61],
    "group": ["A", "A", "B", "B", "A", "A", "B", "B"],
}

df = pd.DataFrame(data)

# Your work
import matplotlib.pyplot as plt
import seaborn as sns

fig, ax = plt.subplots(figsize=(6, 4))
sns.scatterplot(data=df, x="hours", y="score", ax=ax)
# Finish the chart using Your task
ax.set(____)
fig.tight_layout()
plt.show()

Each run executes all editor code in a fresh Python session. Display charts with plt.show().

Python starts when you open a lesson.

Output

Run your code to see what Python returns.