line_plot.py

import matplotlib.pyplot as plt
from datetime import datetime, timedelta
import random
import matplotlib.dates as mdates

# Generate monthly dates from 2020 to 2022
dates = [datetime(2020, 1, 1) + timedelta(days=30*i) for i in range(36)]

# Generate corresponding house prices with some randomness
prices = [200000 + 5000*i + random.randint(-5000, 5000) for i in range(36)]

plt.figure(figsize=(10,5))

# Plot data
plt.plot(dates, prices)

# Format x-axis to display dates
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
plt.gca().xaxis.set_major_locator(mdates.MonthLocator(interval=6)) # set interval to 6 months
plt.gcf().autofmt_xdate() # Rotation

# Set plot title and labels
plt.title('House Prices Over Years')
plt.xlabel('Year-Month')
plt.ylabel('House Price ($)')

# Show the plot
plt.show()