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P. 263
'Year': [2019, 2020, 2021, 2022, 2023],
'Selling Price': [500, 550, 600, 650, 700],
'Original Price': [400, 450, 600, 700, 650]
}
df = pd.DataFrame(data)
# Plotting the line plot for selling price and original price
plt.figure(figsize=(8, 5))
plt.plot(df['Year'], df['Selling Price'], marker='o', label='Selling Price')
plt.plot(df['Year'], df['Original Price'], marker='s', label='Original Price')
plt.xlabel('Year')
plt.ylabel('Price')
plt.title('Selling Price and Original Price Over Years')
plt.legend()
plt.grid(True)
plt.tight_layout()
plt.show()
Output:
12. Plotting bar graphs - Use the bestselling book dataset to plot year wise data and find out what genre was
bestselling across years.
Ans. import pandas as pd
import matplotlib.pyplot as plt
# Create a small dataset with bestselling book data
data = {
'Year': [ 2019, 2019, 2020, 2021, 2021, 2022, 2023,2023],
'Genre': ['Fiction', 'Non-Fiction', 'Fiction', 'Non-Fiction', 'Mystery',
Assignment 261

