seaborn - 如何在 Python 中使用 Seaborn 在条形图中显示带有标准差的误差条

Question

我注意到 sns.barplot 使用标准错误作为误差条默认 1 。有办法把它改成SD吗？

ax = sns.barplot(x="day", y="tip", data=tips, ci=???)

Answer 1

编辑 2017 年:

现在，Seaborn v0.8 中有一个选项可以显示多种绘图类型的标准差。在问题的特定情况下:

ax = sns.barplot(x="day", y="tip", data=tips, ci="sd")

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答案是:直接做是不可能的。

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我问过same question in the GitHub issue tracker for this library :

Could it be possible to represent standard deviation bars instead standard error bars in barplots?

I don't know if it is already possible tweaking ci and estimator. If this feature is not too complex to implement in Seaborn, I could help to develop it as much as I can.

这个库的开发者(mwaskom)回答:

No, it's not possible, sorry.