Normalized histograms in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to plot a normalized histogram using matplotlib.

Matplotlib

import matplotlib.pyplot as plt

data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4]
plt.hist(data, density=[1])
plt.show()

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

ANone

BFalse

CTrue

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using density=False will plot counts instead of probabilities.

Passing None or 0 does not normalize the histogram.

Setting density=True normalizes the histogram so the area sums to 1.

2fill in blank

medium

Complete the code to plot a normalized histogram with 5 bins.

Matplotlib

import matplotlib.pyplot as plt

values = [5, 7, 7, 8, 9, 10, 10, 10, 11]
plt.hist(values, bins=[1], density=True)
plt.show()

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A3

B10

C7

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using too few bins can hide data details.

Using too many bins can make the histogram noisy.

Setting bins=5 divides the data into 5 equal-width bins.

3fill in blank

hard

Fix the error in the code to correctly plot a normalized histogram.

Matplotlib

import matplotlib.pyplot as plt

scores = [60, 70, 70, 80, 90, 90, 90, 100]
plt.hist(scores, bins=4, [1]=True)
plt.show()

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

Anormalize

Bdensity

Cnormed

Dprobability

Attempts:

3 left

💡 Hint

Common Mistakes

Using deprecated or incorrect parameter names like 'normed'.

Using 'normalize' or 'probability' which are not valid parameters.

The correct parameter to normalize histograms in matplotlib is density.

4fill in blank

hard

Fill both blanks to create a normalized histogram with 6 bins and blue color.

Matplotlib

import matplotlib.pyplot as plt

ages = [22, 25, 25, 30, 35, 35, 40, 45, 50]
plt.hist(ages, bins=[1], density=[2], color='blue')
plt.show()

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

A6

BTrue

CFalse

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using density=False will not normalize the histogram.

Setting bins to 5 instead of 6 changes the bin count.

Use bins=6 to set six bins and density=True to normalize the histogram.

5fill in blank

hard

Fill all three blanks to create a normalized histogram with red color, 4 bins, and alpha transparency 0.7.

Matplotlib

import matplotlib.pyplot as plt

weights = [55, 60, 65, 70, 75, 80, 85, 90]
plt.hist(weights, bins=[1], density=[2], color=[3], alpha=0.7)
plt.show()

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

ATrue

B4

C'red'

D'blue'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up color strings or using wrong bin counts.

Setting density to False will not normalize the histogram.

Set bins=4 for four bins, density=True to normalize, and color='red' for red bars.