Python 行和列的csv到数据帧转换

我有这个CSV数据

C,kernel,error
0.001,linear,0.03
0.001,poly,0.04
0.01,linear,0.01
0.01,poly,0.03
0.1,linear,0.00
0.1,poly,0.02
1.0,linear,0.00
1.0,poly,0.01
10.0,linear,0.00
10.0,poly,0.01

使用pandas，如何创建包含唯一C值列、与该C值关联的内核以及错误的数据帧

预期产量

C, linear, poly
0.001,0.03,0.04  <-- error values
0.01,0.01,0.03
0.1,0.00,0.02
1.0,0.00,0.01
10,0.00,0.01

C，线性，多边形
0.001,0.03,0.04您可以使用：

我也试图绘制这些数据，但我在X轴上看到6个值。但是只有5行，C表示错误。为什么会这样？还有，我怎样才能在X轴上得到C值作为标签？@liondacer，不确定。你应该这样做，因为这是一个不同的问题。
res = df.pivot(index='C', columns='kernel', values='error')

print(res)

kernel  linear  poly
C                   
0.001     0.03  0.04
0.010     0.01  0.03
0.100     0.00  0.02
1.000     0.00  0.01
10.000    0.00  0.01