| import matplotlib.pyplot as plt |
|
|
| years = list(range(2010, 2020)) |
|
|
| country_a = [20, 25, 30, 35, 40, 45, 50, 55, 60, 65] |
| country_b = [15, 18, 20, 25, 30, 35, 40, 45, 50, 55] |
| country_c = [10, 12, 15, 20, 25, 30, 35, 40, 45, 50] |
| country_d = [30, 32, 34, 36, 38, 40, 42, 44, 46, 48] |
| country_e = [25, 28, 30, 33, 35, 38, 40, 43, 45, 48] |
|
|
| plt.stackplot(years, country_a, country_b, country_c, country_d, country_e, labels=['Country A','Country B', 'Country C' , 'Country D', 'Country E']) |
|
|
| for i, area in enumerate(plt.gca().collections): |
| if i == 2: |
| area.set_alpha(0.25) |
|
|
| plt.legend(loc='upper left') |
| plt.ylabel('Percentage of renewable energy consumption') |
| plt.xlabel('Years') |
| plt.title('Renewable energy consumption: 2010-2019') |
|
|
| plt.tight_layout() |
| plt.savefig("Edit_figure.png") |
