熊猫行之间的区别

Question

我在用熊猫阅读的csv中有数据。数据具有这种格式-

name    company income  saving  
A       AA       100     10

B       AA       200     20

我希望创建一个新行，名称为A，公司AA，收入和储蓄为A和B的差额。

预期输出-

name    company income  saving  
A       AA       -100     -10

Answer 1

我认为需要：

print (df)
  name company  income  saving
0    A      AA     100      10
1    B      AA     200      20
2    C      AA     300      40

#for select columns by names
df1 = df[['name','company']].join(df[['income','saving']].diff(-1))
#for select columns by positions
#df1 = df.iloc[:, :2].join(df.iloc[:, 2:].diff(-1))

print (df1)
  name company  income  saving
0    A      AA  -100.0   -10.0
1    B      AA  -100.0   -20.0
2    C      AA     NaN     NaN