如何使用字典设置Python Pandas Dataframe的样式 [英] How to style a Python Pandas Dataframe using dictionary

问题描述

我有以下索引为"NUM"的熊猫数据框:

I have the following pandas dataframe with index "NUM":

我想使用以下字典添加颜色到单元格:

I want to add color to cells using the followin dictionary:

d =  {'R1': [1,2,3,4,5,6,7,8,9,10]
  ,'R2': [3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
  ,'R3': [7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]
  ,'R4': [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]
  ,'R5': [17,18,19,20,21,22,23,24,25,26,27,28]
}

字典值(列表)中的值是数据框中的索引.我想将背景色添加到单元格中，例如在"R1"列颜色1到10，在"R2"中列颜色3到20等.

The values in the dictionary values (lists) are the index in the dataframe. I want to add background color to the cells, for example in "R1" column color 1 to 10, in "R2" column color 3 to 20 and so on.

谢谢

推荐答案

您可以尝试:

df.style.apply(
    lambda x: ['background-color:red' if i in d[x.name] else '' 
               for i in np.arange(len(x))+1]
)

输出:

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