一、直接添加

代码：

import pandas as pd

test1 = pd.DataFrame([[1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6], [4, 5, 6, 7]],columns=list('ABCD'))  #
print(test1)
test1['E']=[6,7,8,9]
print(test1)

 

二、通过concat函数添加

import pandas as pd

test1 = pd.DataFrame([[1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6], [4, 5, 6, 7]],columns=list('ABCD'))  #
print(test1)
test2=pd.DataFrame([8,9,10,11],columns=list('F'))
test1=pd.concat([test1,test2],axis=1)
print(test1)

 

三、reindex函数添加

import pandas as pd

test1 = pd.DataFrame([[1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6], [4, 5, 6, 7]],columns=list('ABCD'))  #
print(test1)

test3=test1.reindex(columns=list('MABCDN'),fill_value=1)
print(test3)

 

四、assign函数

import pandas as pd
import numpy as np

df = pd.DataFrame({'A':range(1, 6), 'B':np.random.randn(5)})
print(df)

df01=df.assign(dd=range(5,10))
print(df01)

五、loc函数添加

import pandas as pd

test1 = pd.DataFrame([[1, 2, 3, 4], [2, 3, 4, 5], [3, 4, 5, 6], [4, 5, 6, 7]],columns=list('ABCD'))  # 自己输入
print(test1)

test2=[False,False,True,False]
test2=pd.Series(test2)

test1.loc[test2,'E']=1
print(test1)