[英]PYTHON Pandas - Using Pandas Styling for dataframe based on values in other dataframe
I´m dealing with this challenge quite a while and I couldn´t come up with a decent solution.我正在处理这个挑战很长一段时间,我无法想出一个像样的解决方案。
I have two dataframes with the same shape.我有两个形状相同的数据框。
The thing I want to do is, is to color dataframe 1 based on the values contained in dataframe 2.我想要做的是,根据数据帧 2 中包含的值为数据帧 1 着色。
I´m able to color Dataframe 2 based on its own values but I couldn´t manage to transfer the 'Styling' to Dataframe 1.我能够根据自己的值为 Dataframe 2 着色,但我无法将“样式”传输到 Dataframe 1。
Here is my code for this:这是我的代码:
df1 = ...
df2 = ...
def apply_color(val):
colors = {1: 'green',2: 'blue', 3: 'yellow', 4: 'orange', 5: 'grey'}
return 'background-color: {}'.format(colors[val]) if val else ''
df2.style.applymap(df2)
Can anyone guide me to finalize this?谁能指导我完成这个? :-)
:-)
Thanks a lot!非常感谢!
Best Regards, MG最好的问候,MG
Use applymap
with get
by dict for DataFrame
for colors and pass to Styler.apply
:使用
applymap
和get
by dict for DataFrame
获取颜色并传递给Styler.apply
:
df1 = pd.DataFrame({
'B':[4,5,4],
'C':[7,8,9],
'D':[1,3,5],
})
df2 = pd.DataFrame({
'B':[1,np.nan,4],
'C':[np.nan,2,np.nan],
'D':[1,3,np.nan],
})
def apply_color(x):
colors = {1: 'green',2: 'blue', 3: 'yellow', 4: 'orange', 5: 'grey'}
return df2.applymap(lambda val: 'background-color: {}'.format(colors.get(val,'')))
df1.style.apply(apply_color, axis=None)
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