Matplotlib Bar Chart: Display a bar chart of the popularity of programming Languages and increase bottom margin
Matplotlib Bar Chart: Exercise-9 with Solution
Write a Python programming to display a bar chart of the popularity of programming Languages. Increase bottom margin.
Sample data:
Programming languages: Java, Python, PHP, JavaScript, C#, C++
Popularity: 22.2, 17.6, 8.8, 8, 7.7, 6.7
Sample Solution:
Python Code:
import matplotlib.pyplot as plt
x = ['Java', 'Python', 'PHP', 'JavaScript', 'C#', 'C++']
popularity = [22.2, 17.6, 8.8, 8, 7.7, 6.7]
x_pos = [i for i, _ in enumerate(x)]
plt.bar(x_pos, popularity, color=(0.4, 0.6, 0.8, 1.0))
plt.xlabel("Languages")
plt.ylabel("Popularity")
plt.title("PopularitY of Programming Language\n" + "Worldwide, Oct 2017 compared to a year ago")
# Rotation of the bars names
plt.xticks(x_pos, x, rotation=90)
# Custom the subplot layout
plt.subplots_adjust(bottom=0.4, top=.8)
# Turn on the grid
plt.minorticks_on()
plt.grid(which='major', linestyle='-', linewidth='0.5', color='red')
# Customize the minor grid
plt.grid(which='minor', linestyle=':', linewidth='0.5', color='black')
plt.show()
Sample Output:
Python Code Editor:
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Previous: Write a Python programming to display a bar chart of the popularity of programming Languages. Select the width of each bar and their positions.
Next: 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.
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https://w3resource.com/graphics/matplotlib/barchart/matplotlib-barchart-exercise-9.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics