答案 0 :(得分:2)
使用fill_bettween
绘制数据将自动包含图例中的填充区域。
要包括两个数据集重叠的区域,您可以将两个数据集中的图例句柄合并为一个图例句柄。
正如评论中所指出的,您还可以使用代理定义任意图例句柄。
最后,无论图表中绘制的数据如何,您都可以准确定义要在图例中显示的句柄和标签。
请参阅下面的MWE,其中说明了上述要点:
import matplotlib.pyplot as plt
import numpy as np
plt.close('all')
# Gererate some datas:
x = np.random.rand(50)
y = np.arange(len(x))
# Plot data:
fig, ax = plt.subplots(figsize=(11, 4))
fillA = ax.fill_between(y, x-0.25, 0.5, color='darkolivegreen', alpha=0.65, lw=0)
fillB = ax.fill_between(y, x, 0.5, color='indianred', alpha=0.75, lw=0)
linec, = ax.plot(y, np.zeros(len(y))+0.5, color='blue', lw=1.5)
linea, = ax.plot(y, x, color='orange', lw=1.5)
lineb, = ax.plot(y, x-0.25, color='black', lw=1.5)
# Define an arbitrary legend handle with a proxy:
rec1 = plt.Rectangle((0, 0), 1, 1, fc='blue', lw=0, alpha=0.25)
# Generate the legend:
handles = [linea, lineb, linec, fillA, fillB, (fillA, fillB),
rec1, (fillA, fillB, rec1)]
labels = ['a', 'b', 'c', 'A', 'B', 'A+B', 'C', 'A+B+C']
ax.legend(handles, labels, loc=2, ncol=4)
ax.axis(ymin=-1, ymax=2)
plt.show()
答案 1 :(得分:1)
是的,你绝对正确ian_itor,tacaswell和Jean-Sébastien,用户定义的图例似乎是唯一的解决方案,此外我为这些区域做了不同的线宽,可以与曲线区分开来,和 alpha 一起玩是正确的颜色。
handles, labels = ax.get_legend_handles_labels()
display = (0,1,2,3,4)
overlap_1 = plt.Line2D((0,1),(0,0), color='firebrick', linestyle='-',linewidth=15, alpha = 0.85)
overlap_2= plt.Line2D((0,1),(0,0), color='darkolivegreen',linestyle='-',linewidth=15, alpha = 0.65)
over_lo_3= plt.Line2D((0,1),(0,0), color='indianred',linestyle='-',linewidth=15, alpha = 0.75)
ax.legend([handle for i,handle in enumerate(handles) if i in display]+[overlap_1 , overlap_2 , overlap_3 ],
[label for i,label in enumerate(labels) if i in display]+['D','F','G'])