Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import pandas as pd
- import matplotlib.pyplot as plt
- data = {
- 'Members': [0, 2500, 5000, 7500, 10000, 12500, 15000],
- 'Date': ['Apr 2015', 'Nov 2019', 'Apr 2020', 'Nov 2020', 'Sep 2021', 'Nov 2022', 'Jul 2023'],
- 'Months': [0, 55, 5, 7, 10, 14, 8]
- }
- df = pd.DataFrame(data)
- df['Date'] = pd.to_datetime(df['Date'], format='%b %Y')
- df.set_index('Date', inplace=True)
- plt.plot(df.index, df['Members'], marker='o', label='Members')
- plt.plot(df.index, df['Months'], marker='o', label='Months')
- plt.xlabel('Date')
- plt.ylabel('Count')
- plt.title('Membership Growth')
- plt.legend()
- plt.xticks(rotation=45)
- plt.show()
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement