如何将数据帧添加为 python 中的列？

Question

当我使用附加功能时，一个数据框出现在另一个数据框的下方，但我希望它们并排放置。怎么做？我说的是 (Colour_Features) 输出在图像中。

import pandas as pd 

red_data = pd.DataFrame([[255,0,20],[210,30,0],[220,40,5],[240,10,30],[225,60,20]])
green_data = pd.DataFrame([[0,255,0],[10,240,5],[0,240,20],[5,220,30],[30,230,10]])
blue_data = pd.DataFrame([[30,10,220],[10,10,255],[0,0,240],[25,15,210],[0,20,220]])

red_data.columns =["R","G","B"]
green_data.columns =["R","G","B"]
blue_data.columns =["R","G","B"]

print(red_data)
print(green_data)
print(blue_data)


Feature1 = red_data.loc[:,"R"]-red_data.loc[:,"G"]
Feature2 = 2*red_data.loc[:,"B"] - red_data.loc [:,"R"] - red_data.loc [:,"G"]

print(Feature1)
print(Feature2)
Colour_Features= pd.DataFrame([[]])
Colour_Features=Feature1.append(Feature2)
print (Colour_Features)

Answer 1

沿轴 1（列）连接数据帧。

Colour_Features=pd.concat([Feature1, Feature2], axis=1)
print (Colour_Features)

     0    1
0  255 -215
1  180 -240
2  180 -250
3  230 -190
4  165 -245

如何将数据帧添加为 python 中的列？

How to add DataFrames as columns in python?

python

add

dataframe

pandas