make the following 2 codes into a graph. import matplotlib.pyplot as plt # Stock prices at expirationstock_prices = [45, 50, 55, 60, 65]# Profit/Loss calculationsprofits_losses = [price - 55 for price in stock_prices] # Plotting the graphplt.figure(figsize=(10, 6))plt.plot(stock_prices, profits_losses, marker='o', linestyle='-', color='b', label='Buy and Hold Stock') # Adding labels and titleplt.xlabel('Stock Price at Expiration ($)')plt.ylabel('Profit/Loss per Share ($)')plt.title('Profit/Loss for Buying and Holding Lotus Stock')plt.axhline(0, color='gray', linewidth=0.5)plt.axvline(55, color='gray', linewidth=0.5, linestyle='--')plt.legend()plt.grid(True) # Show the plotplt.show() ----- import matplotlib.pyplot as plt # Stock prices at expirationstock_prices = [45, 50, 55, 60, 65]# Profit/Loss calculationsprofits_losses = [price - 55 for price in stock_prices] # Plotting the graphplt.figure(figsize=(10, 6))plt.plot(stock_prices, profits_losses, marker='o', linestyle='-', color='b', label='Buy and Hold Stock') # Adding labels and titleplt.xlabel('Stock Price at Expiration ($)')plt.ylabel('Profit/Loss per Share ($)')plt.title('Profit/Loss for Buying and Holding Lotus Stock')plt.axhline(0, color='gray', linewidth=0.5)plt.axvline(55, color='gray', linewidth=0.5, linestyle='--')plt.legend()plt.grid(True) # Show the plotplt.show()

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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make the following 2 codes into a graph.

import matplotlib.pyplot as plt

# Stock prices at expiration
stock_prices = [45, 50, 55, 60, 65]
# Profit/Loss calculations
profits_losses = [price - 55 for price in stock_prices]

# Plotting the graph
plt.figure(figsize=(10, 6))
plt.plot(stock_prices, profits_losses, marker='o', linestyle='-', color='b', label='Buy and Hold Stock')

# Adding labels and title
plt.xlabel('Stock Price at Expiration ($)')
plt.ylabel('Profit/Loss per Share ($)')
plt.title('Profit/Loss for Buying and Holding Lotus Stock')
plt.axhline(0, color='gray', linewidth=0.5)
plt.axvline(55, color='gray', linewidth=0.5, linestyle='--')
plt.legend()
plt.grid(True)

# Show the plot
plt.show()

-----

import matplotlib.pyplot as plt

# Stock prices at expiration
stock_prices = [45, 50, 55, 60, 65]
# Profit/Loss calculations
profits_losses = [price - 55 for price in stock_prices]

# Plotting the graph
plt.figure(figsize=(10, 6))
plt.plot(stock_prices, profits_losses, marker='o', linestyle='-', color='b', label='Buy and Hold Stock')

# Adding labels and title
plt.xlabel('Stock Price at Expiration ($)')
plt.ylabel('Profit/Loss per Share ($)')
plt.title('Profit/Loss for Buying and Holding Lotus Stock')
plt.axhline(0, color='gray', linewidth=0.5)
plt.axvline(55, color='gray', linewidth=0.5, linestyle='--')
plt.legend()
plt.grid(True)

# Show the plot
plt.show()

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