Plot Only Top 5 Products by Revenue
Description:
This code filters the top 5 products based on revenue and plots them as a bar chart using matplotlib.
Code Explanation:
🔹 Data Preparation:
-
A sample dataset with products and their revenue is created using a dictionary.
-
Converted to a
pandas.DataFrame.
🔹 Filtering:
-
The DataFrame is sorted by
'Revenue'in descending order. -
.head(5)selects the top 5 products.
🔹 Plotting:
-
A bar chart is created for the top 5 products.
-
plt.bar()takes product names and their corresponding revenue. -
Bar color set to
'skyblue'.
🔹 Formatting:
-
Title and axis labels added.
-
plt.grid(axis='y')enables grid lines on the y-axis for readability. -
plt.tight_layout()ensures labels don’t overlap.
🔹 Displaying the Plot:
-
plt.show()displays the final chart.
Program:
import pandas as pd
import matplotlib.pyplot as plt
# Sample product revenue data
data = {
'Product': ['A', 'B', 'C', 'D', 'E', 'F', 'G'],
'Revenue': [1200, 2500, 1800, 2200, 2700, 1600, 2100]
}
df = pd.DataFrame(data)
# Sort the data by revenue and select top 5 products
top5_df = df.sort_values(by='Revenue', ascending=False).head(5)
# Plotting the top 5 products by revenue
plt.figure(figsize=(8, 5))
plt.bar(top5_df['Product'], top5_df['Revenue'], color='skyblue')
# Formatting
plt.title('Top 5 Products by Revenue')
plt.xlabel('Product')
plt.ylabel('Revenue')
plt.grid(axis='y')
plt.tight_layout()
# Show the plot
plt.show()
Output:
