| import matplotlib.pyplot as plt |
| import matplotlib.patheffects as path_effects |
| from random import choice |
|
|
| |
| years = list(range(2010, 2020)) |
| wheat = [2.5, 2.4, 2.6, 2.3, 2.2, 2.1, 2.0, 1.8, 1.7, 1.5] |
| rice = [3.2, 3.0, 2.8, 2.7, 2.6, 2.4, 2.3, 2.1, 2.0, 1.8] |
| maize = [4.0, 3.8, 3.5, 3.3, 3.0, 2.8, 2.5, 2.3, 2.2, 2.0] |
|
|
| |
| plt.figure(figsize=(10,7)) |
| plt.stackplot(years, wheat, rice, maize, labels=['Wheat', 'Rice', 'Maize'], alpha=0.7) |
|
|
| for i, area in enumerate(plt.gca().collections): |
| if i == 1: |
| area.set_animated(True) |
| area.set_zorder(20) |
| shadow_color = 'gold' |
| area.set_path_effects([path_effects.SimplePatchShadow(offset=(3.13, 3.40), shadow_rgbFace=shadow_color), path_effects.Normal()]) |
|
|
| |
| plt.xlabel('Years') |
| plt.ylabel('Crop yield (t/ha)') |
| plt.title('Effects of Climate Change on Global Crop Yields (2010-2019)') |
| plt.legend(loc='upper right') |
|
|
| |
| plt.tight_layout() |
| plt.savefig("Edit_figure.png") |
