Matplotlib图例中的误差带显示为线加阴影区域

Question

我想要一个类似于的图例。

但是虚线和黄色区域需要像这样合并:

- Somebody

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提供一些你已经尝试过的代码将会很有益。 - Nikos Tavoularis

Answer 1

要实现您想要的效果，您需要调用legend函数，并将您想要的两行/补丁组合成一个单独的项目。

为了了解如何在实际操作中完成此操作，以下是一个简单的可行示例：

# Import libraries
import numpy as np
import matplotlib.pyplot as plt

# Create some fake data
xvalue = np.linspace(1,100,100)
pop_mean = xvalue
walker_pos = pop_mean + 10*np.random.randn(100)

# Do the plot
fig, ax = plt.subplots()

# Save the output of 'plot', as we need it later
lwalker, = ax.plot(xvalue, walker_pos, 'b-')

# Save output of 'fill_between' (note there's no comma here)
lsigma = ax.fill_between(xvalue, pop_mean+10, pop_mean-10, color='yellow', alpha=0.5)

# Save the output of 'plot', as we need it later
lmean, = ax.plot(xvalue, pop_mean, 'k--')

# Create the legend, combining the yellow rectangle for the 
# uncertainty and the 'mean line'  as a single item
ax.legend([lwalker, (lsigma, lmean)], ["Walker position", "Mean + 1sigma range"], loc=2)

fig.savefig("legend_example.png")
plt.show()

这段代码生成了这个图形: 您可以查看图例指南来了解其中的细节，并根据需要自定义图例。

- Pablo Arnalte-Mur