手动将误差线添加到 seaborn 线标记图

Question

我有 x、mean 和 std 列。我想用使用 seaborn 的标记绘制线：

import seaborn as sns
import matplotlib.pyplot as plt

x = [0,1,2]
mean = [2,1,3]
std = [0.1,0.4,0.2]

sns.lineplot(x=x,y=mean,marker='o')

如何添加 std 作为误差线？

Answer 1

来自 seaborn 文档，

markers : boolean, list, or dictionary, optional
    Object determining how to draw the markers for different levels of the
    ``style`` variable. Setting to ``True`` will use default markers, or
    you can pass a list of markers or a dictionary mapping levels of the
    ``style`` variable to markers. Setting to ``False`` will draw
    marker-less lines.  Markers are specified as in matplotlib.

markers 与 lineplot 的 style 选项配合使用。在你的情况下，使用 marker，它被传递给 plt.plot，而不是 markers:

sns.lineplot(x=x,y=mean,marker='o')

输出：

Answer 2

我找到了适合我的答案：

df = pd.DataFrame({'x':x,'y':mean,'std':std})

g = sns.FacetGrid(df, size=5)
g.map(plt.errorbar, "x", "y", "std", marker="o")

手动将误差线添加到 seaborn 线标记图

Add error bars manually to seaborn line marker plots

python

matplotlib

seaborn

errorbar