Marker size variation in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to set the marker size to 100 in the scatter plot.

Matplotlib

import matplotlib.pyplot as plt
x = [1, 2, 3]
y = [4, 5, 6]
plt.scatter(x, y, s=[1])
plt.show()

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A100

B1

C10

D50

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'size' instead of 's' parameter.

Setting s to a very small number like 1 which makes markers hard to see.

The 's' parameter in plt.scatter controls the marker size. Setting s=100 makes the markers larger.

2fill in blank

medium

Complete the code to create a scatter plot with marker sizes varying by the values in the list 'sizes'.

Matplotlib

import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [10, 20, 25, 30]
sizes = [20, 50, 80, 200]
plt.scatter(x, y, s=[1])
plt.show()

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Ay

Bx

Csizes

D[10, 20, 30, 40]

Attempts:

3 left

💡 Hint

Common Mistakes

Passing x or y instead of sizes to the 's' parameter.

Passing a list of wrong length to 's'.

Passing the list 'sizes' to the 's' parameter sets marker sizes individually for each point.

3fill in blank

hard

Fix the error in the code to correctly vary marker sizes using the 'sizes' list.

Matplotlib

import matplotlib.pyplot as plt
x = [1, 2, 3]
y = [4, 5, 6]
sizes = [30, 60, 90]
plt.scatter(x, y, s=[1])
plt.show()

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Asizes

Bsize

C[30, 60, 90]

Ds

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'size' instead of 's' parameter.

Passing a string instead of the variable.

The 's' parameter must be assigned the variable 'sizes' to vary marker sizes correctly.

4fill in blank

hard

Fill both blanks to create a scatter plot with marker sizes scaled by 10 times the values in 'data_sizes'.

Matplotlib

import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [5, 6, 7, 8]
data_sizes = [2, 4, 6, 8]
scaled_sizes = [[1] * size for size in data_sizes]
plt.scatter(x, y, s=[2])
plt.show()

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A10

Bdata_sizes

Cscaled_sizes

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Passing data_sizes directly without scaling.

Using wrong variable names.

Multiply each size by 10 to scale, then pass the scaled_sizes list to 's' for marker sizes.

5fill in blank

hard

Fill all three blanks to create a scatter plot with marker sizes as the square of x values and color as y values.

Matplotlib

import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [10, 20, 30, 40]
sizes = [[1] for val in x]
plt.scatter(x, y, s=sizes, c=[2], cmap=[3])
plt.colorbar()
plt.show()

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Aval**2

By

C'viridis'

Dx

Attempts:

3 left

💡 Hint

Common Mistakes

Using x instead of y for colors.

Not squaring x values for sizes.

Using invalid colormap name.

Marker sizes are squares of x values, colors are y values, and 'viridis' colormap is used.