Create a Stacked Bar Chart by Region and Product
Description:
This program generates a stacked bar chart that displays the sales data of three products across different regions. The chart helps visualize how sales are distributed across the regions, with each region represented by a stacked bar containing the sales for each product.
Code Explanation:
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Multiple datasets are stacked on top of each other using
bar(). -
X-axis represents regions or categories.
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Each stack represents a product's contribution in that region.
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Helps visualize the total and individual contribution.
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legend()differentiates each stack (product). -
xlabel(),ylabel(), andtitle()are added for clarity. -
show()displays the final stacked bar chart.
Code Explanation:
import matplotlib.pyplot as plt
# X-axis labels (regions)
regions = ['North', 'South', 'East', 'West']
# Sales data for each product
product_A = [30, 40, 50, 20]
product_B = [20, 35, 25, 30]
product_C = [10, 20, 15, 25]
# Plotting the stacked bars
plt.bar(regions, product_A, label='Product A', color='skyblue')
plt.bar(regions, product_B, bottom=product_A, label='Product B', color='lightgreen')
bottom_C = [a + b for a, b in zip(product_A, product_B)]
plt.bar(regions, product_C, bottom=bottom_C, label='Product C', color='salmon')
# Adding labels and title
plt.title('Stacked Bar Chart: Sales by Region and Product')
plt.xlabel('Region')
plt.ylabel('Sales')
plt.legend()
# Show the plot
plt.show()
Output:
