Horizontal bar chart with plt.barh in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a horizontal bar chart using plt.barh.

Matplotlib

import matplotlib.pyplot as plt

categories = ['A', 'B', 'C']
values = [10, 15, 7]

plt.[1](categories, values)
plt.show()

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

Abarh

Bbar

Cplot

Dscatter

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.bar instead of plt.barh creates vertical bars.

Using plt.plot or plt.scatter will not create bar charts.

The plt.barh function creates a horizontal bar chart. The other options create different types of plots.

2fill in blank

medium

Complete the code to label the x-axis of the horizontal bar chart.

Matplotlib

import matplotlib.pyplot as plt

categories = ['X', 'Y', 'Z']
values = [5, 8, 12]

plt.barh(categories, values)
plt.[1]('Value Count')
plt.show()

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

Aylabel

Btitle

Clegend

Dxlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.ylabel instead of plt.xlabel for the x-axis label.

Using plt.title or plt.legend which do not label axes.

The x-axis label is set with plt.xlabel. Since the bars are horizontal, the values are along the x-axis.

3fill in blank

hard

Fix the error in the code to correctly display the horizontal bar chart with custom colors.

Matplotlib

import matplotlib.pyplot as plt

categories = ['Red', 'Green', 'Blue']
values = [3, 6, 9]
colors = ['red', 'green', 'blue']

plt.barh(categories, values, color=[1])
plt.show()

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

Acolor

B'colors'

Ccolors

D['colors']

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the string 'colors' instead of the variable colors.

Passing a single string instead of a list of colors.

The color parameter expects a list of color names or codes. Passing the variable colors is correct. Passing a string or wrong variable name causes errors.

4fill in blank

hard

Fill both blanks to create a horizontal bar chart with categories sorted by values in descending order.

Matplotlib

import matplotlib.pyplot as plt

categories = ['Cat1', 'Cat2', 'Cat3']
values = [20, 10, 30]

sorted_pairs = sorted(zip(values, categories), key=[1], reverse=[2])
sorted_values, sorted_categories = zip(*sorted_pairs)

plt.barh(sorted_categories, sorted_values)
plt.show()

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

Alambda x: x[0]

Blambda x: x[1]

CFalse

DTrue

Attempts:

3 left

💡 Hint

Common Mistakes

Sorting by category instead of value.

Setting reverse to False which sorts ascending.

We sort by the first element of each pair (the value) using lambda x: x[0]. To get descending order, reverse=True is needed.

5fill in blank

hard

Fill all three blanks to create a horizontal bar chart with labels showing the value at the end of each bar.

Matplotlib

import matplotlib.pyplot as plt

categories = ['A', 'B', 'C']
values = [7, 12, 5]

bars = plt.barh(categories, values)

for bar in bars:
    width = bar.[1]()
    plt.text(width + [2], bar.[3](), str(int(width)), va='center')

plt.show()

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

Aget_width

B0.1

Cget_y

Dget_height

Attempts:

3 left

💡 Hint

Common Mistakes

Using get_height() which is for vertical bars.

Not adding an offset, causing labels to overlap bars.

Using get_x() instead of get_y() for vertical position.

bar.get_width() gets the length of the horizontal bar. We add a small offset (0.1) to place the label slightly to the right. bar.get_y() gets the vertical position of the bar for correct label placement.