Scatter plot

Choose and build · V16 · 8 MIN

Plot two numeric measurements observation by observation.

Exercises within this concept

FollowFollow the techniqueCurrent exercise
ChangeAdapt a requirement
TransferChoose and combine

Understand the idea

A scatter plot uses one point for each row’s pair of numeric values. The horizontal and vertical coordinates must come from the same record.

Illustration · not the exercise output

A small example

A record with hours=2 and score=70 appears at (2, 70); x chooses hours and y chooses score.

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

sns.scatterplot(...): Draw one point for each record.
data=df: Read the values from df.
x="hours": Use hours for each point’s horizontal position.
y="score": Use score from the same row for its vertical position.
ax=ax: Draw on the Axes created earlier in the code.

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

Using df, call sns.scatterplot for hours against score.
Chart: title "Study club"; x "hours"; y "score".

Hint

Keep x and y from the same row; one point represents one paired observation.

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

Using df, call sns.scatterplot for hours against score.
Chart: title "Study club"; x "hours"; y "score".

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))
# Build the requested chart
____
# Add the labels from 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.