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问题描述
我想知道如何使用df.style
方法突出显示熊猫数据框的对角线元素.
I was wondering how to highlight diagonal elements of pandas dataframe using df.style
method.
我找到了这个官方链接,他们在其中讨论了如何突出显示最大值,但是我很难创建功能来突出显示对角线元素.
I found this official link where they discuss how to highlight maximum value, but I am having difficulty creating function to highlight the diagonal elements.
这里是一个例子:
import numpy as np
import pandas as pd
df = pd.DataFrame({'a':[1,2,3,4],'b':[1,3,5,7],'c':[1,4,7,10],'d':[1,5,9,11]})
def highlight_max(s):
'''
highlight the maximum in a Series yellow.
'''
is_max = s == s.max()
return ['background-color: yellow' if v else '' for v in is_max]
df.style.apply(highlight_max)
这给出了以下输出:
This gives following output:
我只希望在对角线元素1,3,7,11上有一个黄色突出显示.
I am wanting a yellow highlight across the diagonal elements 1,3,7,11 only.
该怎么做?
推荐答案
另一个答案很好,但是我已经这样写了.
The other answer is pretty good but I already wrote this so....
def style_diag(data):
diag_mask = pd.DataFrame("", index=data.index, columns=data.columns)
min_axis = min(diag_mask.shape)
diag_mask.iloc[range(min_axis), range(min_axis)] = 'background-color: yellow'
return diag_mask
df = pd.DataFrame({'a':[1,2,3,4],'b':[1,3,5,7],'c':[1,4,7,10],'d':[1,5,9,11]})
df.style.apply(style_diag, axis=None)
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