Presentation

import matplotlib.pyplot as plt # Data for the graph years = [0.5, 1, 2, 3, 4, 5] active_users = [500, 1000, 10000, 100000, 1000000, 10000000, 100000000] revenue = [7608.792, 22826.376, 152175.84, 1521758.4, 15217584, 152175840, 1521758400] # Create a plot with a night mode theme plt.style.use('dark_background') fig, ax1 = plt.subplots() # Plotting the first curve for active users (blue curve) ax1.set_xlabel('Years since Launch') ax1.set_ylabel('Active Users', color='cyan') ax1.plot([0.16] + years, active_users, 'o-', color='cyan', label="Active Users") ax1.tick_params(axis='y', labelcolor='cyan') # Annotating the data points for active users for i, txt in enumerate(active_users): ax1.annotate(f'{txt}', (years[i-1] if i > 0 else 0.16, active_users[i]), textcoords="offset points", xytext=(0,10), ha='center', color='white') # Create a second y-axis for the revenue (green curve) ax2 = ax1.twinx() ax2.set_ylabel('Revenue (USD)', color='lime') ax2.plot([0.16] + years, revenue, 'o-', color='lime', label="Revenue") ax2.tick_params(axis='y', labelcolor='lime') # Annotating the data points for revenue for i, txt in enumerate(revenue): ax2.annotate(f'{txt:.0f}', (years[i-1] if i > 0 else 0.16, revenue[i]), textcoords="offset points", xytext=(0,10), ha='center', color='white') # Adding title and improving layout plt.title('Projected Growth of Active Users and Revenue (Night Mode)') fig.tight_layout() # Show the plot plt.show()