如何在Seaborn中检索错误栏

问题描述

我使用以下函数在 seaborn 中绘制了条形图:

I've plot a barplot in seaborn using the follow function:

ax = sns.barplot(x='Year', y='Value', data=df)

现在，我想根据以下规则为每个栏着色:

Now I'd like to color each bar according to the following rule:

percentages = []
for bar, yerr_ in zip(bars, yerr):
    low  = bar.get_height() - yerr_
    high = bar.get_height() + yerr_
    percentage = (high-threshold)/(high-low)
    if percentage>1: percentage = 1
    if percentage<0: percentage = 0
    percentages.append(percentage)

我相信我可以通过ax.patches访问条形图，它会返回一组矩形:

I believe I can access the bars through ax.patches, which returns a set of rectangles:

for p in ax.patches:
    height = p.get_height()
    print(p)
>> Rectangle(-0.4,0;0.8x33312.1)
>> Rectangle(0.6,0;0.8x41861.9)
>> Rectangle(1.6,0;0.8x39493.3)
>> Rectangle(2.6,0;0.8x47743.6)

但是，我不知道如何检索seaborn/matplotlib计算出的yerr数据.

However, I don't know how to retrieve the yerr data calculated by seaborn/matplotlib.

推荐答案

就像 ax.patches 一样，您可以使用 ax.lines .当然，我假设误差线是您绘图中唯一的线条，否则您可能需要做一些额外的事情来唯一地识别误差线.以下工作:

Just like ax.patches, you can use ax.lines. Of course, I assume that error bars are the only lines you have in your plot otherwise you may have to do something extra to uniquely identify the error bars. The following works:

    for p in ax.lines:
        width = p.get_linewidth()
        xy = p.get_xydata()
        print(xy)
        print(width)
        print(p)

这篇关于如何在Seaborn中检索错误栏的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！