| import matplotlib.pyplot as plt |
|
|
| |
| data = { |
| "pre-lockdown": { |
| "CO2": [1000, 1500, 800, 1200], |
| "NO2": [100, 150, 80, 120], |
| "PM2.5": [50, 70, 40, 60], |
| "SO2": [20, 30, 15, 35] |
| }, |
| "lockdown": { |
| "CO2": [600, 900, 500, 800], |
| "NO2": [70, 120, 50, 90], |
| "PM2.5": [30, 60, 20, 50], |
| "SO2": [15, 25, 10, 30] |
| } |
| } |
|
|
| pollutants = ["CO2", "NO2", "PM2.5", "SO2"] |
|
|
| fig, ax = plt.subplots() |
|
|
| |
| for period in ['pre-lockdown', 'lockdown']: |
| ax.stackplot(['Country A', 'Country B', 'Country C', 'Country D'], |
| [data[period][pollutant] for pollutant in pollutants], labels=pollutants) |
|
|
| ax.set_xlabel('Countries') |
| ax.set_ylabel('Emissions in metric tons') |
| ax.set_title('Impact of COVID-19 Lockdowns on Global Emissions') |
| ax.legend(loc='upper right') |
|
|
| |
| ax.set_xlim('Country A', 'Country D') |
|
|
|
|
| plt.tight_layout() |
| plt.savefig("figure.png") |
