Scatter plots in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a scatter plot using pandas.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'x': [1, 2, 3, 4], 'y': [10, 20, 25, 30]}
df = pd.DataFrame(data)
df.plot.scatter(x='x', y=[1])
plt.show()

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

Ax

Bindex

Cy

Dz

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'x' for both axes causes a line, not a scatter plot.

Using a non-existent column like 'z' causes an error.

The scatter plot requires the y-axis column name. Here, it is 'y'.

2fill in blank

medium

Complete the code to set the color of points in the scatter plot.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'height': [150, 160, 170, 180], 'weight': [50, 60, 65, 70]}
df = pd.DataFrame(data)
df.plot.scatter(x='height', y='weight', c=[1])
plt.show()

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

A'blue'

B'circle'

C'scatter'

D'line'

Attempts:

3 left

💡 Hint

Common Mistakes

Using shape names like 'circle' instead of color names.

Passing plot types like 'scatter' or 'line' as color.

The 'c' parameter sets the color of points. It accepts color names like 'blue'.

3fill in blank

hard

Fix the error in the code to correctly plot a scatter plot with size variation.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'age': [20, 25, 30, 35], 'income': [2000, 2500, 3000, 3500], 'score': [10, 20, 30, 40]}
df = pd.DataFrame(data)
df.plot.scatter(x='age', y='income', s=[1])
plt.show()

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

Adf['score']

B'score'

Cscore

Ddf.score()

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the column name as a string instead of the Series.

Trying to call the column as a method.

The 's' parameter expects numeric values for sizes. Passing the Series df['score'] works correctly.

4fill in blank

hard

Fill both blanks to create a scatter plot with custom marker and transparency.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'temp': [30, 35, 40, 45], 'sales': [100, 150, 200, 250]}
df = pd.DataFrame(data)
df.plot.scatter(x='temp', y='sales', marker=[1], alpha=[2])
plt.show()

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

A'x'

B0.5

C1.5

D'o'

Attempts:

3 left

💡 Hint

Common Mistakes

Using alpha values greater than 1 causes errors.

Using invalid marker strings.

The marker 'x' is a valid shape, and alpha 0.5 sets transparency to 50%.

5fill in blank

hard

Fill all three blanks to create a scatter plot with color, size, and title.

Pandas

import pandas as pd
import matplotlib.pyplot as plt

data = {'speed': [5, 10, 15, 20], 'distance': [50, 100, 150, 200], 'weight': [100, 200, 300, 400]}
df = pd.DataFrame(data)
ax = df.plot.scatter(x=[1], y=[2], s=[3], c='red')
ax.set_title('Speed vs Distance')
plt.show()

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

A'speed'

B'distance'

Cdf['weight']

D'weight'

Attempts:

3 left

💡 Hint

Common Mistakes

Passing column names as strings for size instead of Series.

Mixing up x and y axis names.

The x-axis is 'speed', y-axis is 'distance', and sizes come from the 'weight' column as a Series.