Use Subplots to Compare Sales in Different Regions
Description:
This program uses subplots to create multiple smaller plots within the same figure. Each subplot will show sales data for a different region, making it easy to compare the sales across regions side by side.
Code Explanation:
-
subplots()creates multiple small plots in one figure. -
Each subplot shows sales data for a specific region.
-
Helps in side-by-side comparison.
-
Titles, labels, and grids make each plot more readable.
-
tight_layout()adjusts spacing between subplots. -
show()displays all the subplots together.
Program:
import matplotlib.pyplot as plt
# Sales data for different regions
regions = ['North', 'South', 'East', 'West']
sales_A = [100, 150, 200, 120] # Sales for Product A
sales_B = [80, 130, 170, 110] # Sales for Product B
sales_C = [60, 90, 130, 70] # Sales for Product C
# Create subplots
fig, axes = plt.subplots(1, 3, figsize=(12, 4))
# Plot sales data for Product A in the first subplot
axes[0].bar(regions, sales_A, color='skyblue')
axes[0].set_title('Sales of Product A')
axes[0].set_xlabel('Region')
axes[0].set_ylabel('Sales')
# Plot sales data for Product B in the second subplot
axes[1].bar(regions, sales_B, color='lightgreen')
axes[1].set_title('Sales of Product B')
axes[1].set_xlabel('Region')
axes[1].set_ylabel('Sales')
# Plot sales data for Product C in the third subplot
axes[2].bar(regions, sales_C, color='salmon')
axes[2].set_title('Sales of Product C')
axes[2].set_xlabel('Region')
axes[2].set_ylabel('Sales')
# Adjust layout to prevent overlap
plt.tight_layout()
# Show the plot
plt.show()
Output:
