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Matplotlib Barchart: Exercises, Practice, Solution

Matplotlib Barchart [17 exercises with solution]

[An editor is available at the bottom of the page to write and execute the scripts.]

1. Write a Python programming to display a bar chart of the popularity of programming Languages. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages
Click me to see the sample solution

2. Write a Python programming to display a horizontal bar chart of the popularity of programming Languages. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib BarChart: Display a horizontal bar chart of the popularity of programming Languages
Click me to see the sample solution

3. Write a Python programming to display a bar chart of the popularity of programming Languages. Use uniform color. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages using uniform color

Click me to see the sample solution

4. Write a Python programming to display a bar chart of the popularity of programming Languages. Use different color for each bar. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages using different color for each
Click me to see the sample solution

5. Write a Python programming to display a bar chart of the popularity of programming Languages. Attach a text label above each bar displaying its popularity (float value). Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages and attach a text label above each bar displaying its popularity
Click me to see the sample solution

6. Write a Python programming to display a bar chart of the popularity of programming Languages. Make blue border to each bar. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages and make blue border to each bar
Click me to see the sample solution

7. Write a Python programming to display a bar chart of the popularity of programming Languages. Specify the position of each bar plot. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages and specify the position of each barplot
Click me to see the sample solution

8. Write a Python programming to display a bar chart of the popularity of programming Languages. Select the width of each bar and their positions. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages and select the width of each bar and their positions
Click me to see the sample solution

9. Write a Python programming to display a bar chart of the popularity of programming Languages. Increase bottom margin. Go to the editor
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display a bar chart of the popularity of programming Languages and increase bottom margin
Click me to see the sample solution

10. Write a Python program to create bar plot of scores by group and gender. Use multiple X values on the same chart for men and women.
Go to the editor
Sample Data:
Means (men) = (22, 30, 35, 35, 26)
Means (women) = (25, 32, 30, 35, 29)
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create bar plot of scores by group and gender
Click me to see the sample solution

11. Write a Python program to create bar plot from a DataFrame. Go to the editor
Sample Data Frame:
a b c d e
2 4,8,5,7,6
4 2,3,4,2,6
6 4,7,4,7,8
8 2,6,4,8,6
10 2,4,3,3,2
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create bar plot from a DataFrame
Click me to see the sample solution

12. Write a Python program to create bar plots with error bars on the same figure. Go to the editor
Sample Date
Mean velocity: 0.2474, 0.1235, 0.1737, 0.1824
Standard deviation of velocity: 0.3314, 0.2278, 0.2836, 0.2645
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create bar plots with errorbars on the same figure
Click me to see the sample solution

13. Write a Python program to create bar plots with errorbars on the same figure. Attach a text label above each bar displaying men means (integer value).Go to the editor
Sample Data
Mean velocity: 0.2474, 0.1235, 0.1737, 0.1824
Standard deviation of velocity: 0.3314, 0.2278, 0.2836, 0.2645
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create bar plots with errorbars on the same figure and attach a text label above each bar
Click me to see the sample solution

14. Write a Python program to create a stacked bar plot with error bars. Go to the editor
Note: Use bottom to stack the women?s bars on top of the men?s bars.
Sample Data:
Means (men) = (22, 30, 35, 35, 26)
Means (women) = (25, 32, 30, 35, 29)
Men Standard deviation = (4, 3, 4, 1, 5)
Women Standard deviation = (3, 5, 2, 3, 3)
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create a stacked bar plot with error bars
Click me to see the sample solution

15. Write a Python program to create a horizontal bar chart with differently ordered colors. Go to the editor
Note: Use bottom to stack the women?s bars on top of the men?s bars.
Sample Data Set:
languages = [['Language','Science','Math'],
['Science','Math','Language'],
['Math','Language','Science']]
numbers = [{'Language':75, 'Science':88, 'Math':96},
{'Language':71, 'Science':95, 'Math':92},
{'Language':75, 'Science':90, 'Math':89}]
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create a horizontal bar chart with differently ordered colors
Click me to see the sample solution

16. Write a Python program to create stack bar plot and add label to each section. Go to the editor
Sample data:
people = ('G1','G2','G3','G4','G5','G6','G7','G8')
segments = 4
# multi-dimensional data
data = [[ 3.40022085, 7.70632498, 6.4097905, 10.51648577, 7.5330039, 7.1123587, 12.77792868, 3.44773477],
[ 11.24811149, 5.03778215, 6.65808464, 12.32220677, 7.45964195, 6.79685302, 7.24578743, 3.69371847],
[ 3.94253354, 4.74763549, 11.73529246, 4.6465543, 12.9952182, 4.63832778, 11.16849999, 8.56883433],
[ 4.24409799, 12.71746612, 11.3772169, 9.00514257, 10.47084185, 10.97567589, 3.98287652, 8.80552122]]
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Create stack bar plot and add label to each section
Click me to see the sample solution

17. Write a Python program to add textures (black and white) to bars and wedges. Go to the editor
Note: Use bottom to stack the womens bars on top of the mens bars.
The code snippet gives the output shown in the following screenshot:

Matplotlib Barchart: Display textures to bars and wedges.
Click me to see the sample solution

Python Code Editor:

More to Come !

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.