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[Eli]

[Eli]

Me: Write a Python code to visualize simple bar charts.

Gemini:

Code: [Select all] [Expand/Collapse]

1. import matplotlib.pyplot as plt
2. import pandas as pd
3.  
4. # Create a dataframe
5. data = pd.DataFrame({
6.     'Country': ['USA', 'China', 'India', 'Japan', 'Germany'],
7.     'Population': [331000000, 1426000000, 1380000000, 126000000, 83000000]
8. })
9.  
10. # Create a bar chart
11. plt.bar(data['Country'], data['Population'])
12.  
13. # Add axis labels
14. plt.xlabel('Country')
15. plt.ylabel('Population (millions)')
16.  
17. # Add a title
18. plt.title('Population of the Top 5 Countries')
19.  
20. # Display the plot
21. plt.show()
22.  
23. # Customization
24. # Change the color of the bars
25. plt.bar(data['Country'], data['Population'], color='blue')
26.  
27. # Add a legend
28. plt.legend(['Population'])
29.  
30. # Change the size of the plot
31. plt.figure(figsize=(10, 5))
32.  
33. # Add grid lines
34. plt.grid(True)
35.  
36. # Horizontal bar chart
37. plt.barh(data['Country'], data['Population'])
38.  
39. # Add axis labels
40. plt.ylabel('Country')
41. plt.xlabel('Population (millions)')
42.  
43. # Display the plot
44. plt.show()
45.  
46. # Customization
47. # Change the color of the bars
48. plt.barh(data['Country'], data['Population'], color='green')
49.  
50. # Add a legend
51. plt.legend(['Population'])
52.  
53. # Change the size of the plot
54. plt.figure(figsize=(5, 10))
55.  
56. # Add grid lines
57. plt.grid(True)