| import matplotlib.pyplot as plt |
| import numpy as np |
| import matplotlib.patheffects as path_effects |
|
|
| |
| weeks = [i for i in range(1, 27)] |
| age_groups = ['0-10', '11-20', '21-30', '31-40', '41-50', '51-60', '61-70', '71-80', '80+'] |
| cases = [np.linspace(25, 50, 26), |
| np.linspace(50, 70, 26), |
| np.linspace(70, 100, 26), |
| np.linspace(90, 120, 26), |
| np.linspace(120, 150, 26), |
| np.linspace(100, 70, 26), |
| np.linspace(80, 60, 26), |
| np.linspace(60, 40, 26), |
| np.linspace(40, 25, 26)] |
|
|
| |
| plt.figure(figsize=(10, 7)) |
| plt.stackplot(weeks, cases, labels=age_groups) |
|
|
| |
| for i, area in enumerate(plt.gca().collections): |
| if i == 2: |
| area.set_visible(False) |
| |
| plt.xlabel('Weeks') |
| plt.ylabel('Number of Cases') |
| plt.title('Distribution of COVID-19 Cases Among Various Age Groups Over 6 Months') |
| plt.legend(loc='upper left') |
|
|
| |
| plt.tight_layout() |
| plt.savefig("Edit_figure.png") |
