Cumulative histograms in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to plot a cumulative histogram using matplotlib.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)
plt.hist(data, bins=30, cumulative=[1])
plt.show()

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

ATrue

BFalse

CNone

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using cumulative=False will plot a normal histogram.

Passing None or 0 will not create a cumulative histogram.

Setting cumulative=True makes the histogram cumulative.

2fill in blank

medium

Complete the code to add labels and a title to the cumulative histogram.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)
plt.hist(data, bins=20, cumulative=True)
plt.xlabel([1])
plt.ylabel('Frequency')
plt.title('Cumulative Histogram')
plt.show()

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

A'Values'

B'Bins'

C'Data values'

D'X-axis'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Bins' as xlabel is less clear than 'Values'.

Leaving xlabel empty makes the plot less understandable.

The x-axis label should describe the data values shown in the histogram.

3fill in blank

hard

Fix the error in the code to correctly plot a cumulative histogram with density normalization.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)
plt.hist(data, bins=25, cumulative=[1], density=True)
plt.show()

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

A0

BTrue

CNone

DFalse

Attempts:

3 left

💡 Hint

Common Mistakes

Setting cumulative=False will plot a normal histogram.

Using None or 0 for cumulative causes the histogram to be non-cumulative.

To plot a cumulative histogram with density normalization, set cumulative=True.

4fill in blank

hard

Fill both blanks to create a cumulative histogram with 40 bins and a blue color.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)
plt.hist(data, bins=[1], cumulative=True, color=[2])
plt.show()

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

A40

B'red'

C'blue'

D30

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string for bins causes an error.

Using a color name without quotes causes an error.

Use 40 bins and set color to 'blue' for the histogram.

5fill in blank

hard

Fill all three blanks to create a cumulative histogram with green color, 50 bins, and alpha transparency 0.5.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)
plt.hist(data, bins=[1], cumulative=True, color=[2], alpha=[3])
plt.show()

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

A40

B50

C'green'

D0.5

Attempts:

3 left

💡 Hint

Common Mistakes

Using alpha as a string causes an error.

Using color without quotes causes an error.

Set bins to 50, color to 'green', and alpha to 0.5 for transparency.