python – TypeError:不支持的操作数类型 – :’list’和’list’
作者:互联网
我正在尝试实现Naive Gauss并在执行时获得不受支持的操作数类型错误.
输出:
execfile(filename, namespace)
File "/media/zax/MYLINUXLIVE/A0N-.py", line 26, in <module>
print Naive_Gauss([[2,3],[4,5]],[[6],[7]])
File "/media/zax/MYLINUXLIVE/A0N-.py", line 20, in Naive_Gauss
b[row] = b[row]-xmult*b[column]
TypeError: unsupported operand type(s) for -: 'list' and 'list'
>>>
这是代码
def Naive_Gauss(Array,b):
n = len(Array)
for column in xrange(n-1):
for row in xrange(column+1, n):
xmult = Array[row][column] / Array[column][column]
Array[row][column] = xmult
#print Array[row][col]
for col in xrange(0, n):
Array[row][col] = Array[row][col] - xmult*Array[column][col]
b[row] = b[row]-xmult*b[column]
print Array
print b
print Naive_Gauss([[2,3],[4,5]],[[6],[7]])
解决方法:
您无法从列表中减去列表.
>>> [3, 7] - [1, 2]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: unsupported operand type(s) for -: 'list' and 'list'
简单的方法是使用numpy
:
>>> import numpy as np
>>> np.array([3, 7]) - np.array([1, 2])
array([2, 5])
您也可以使用列表推导,但它需要更改函数中的代码:
>>> [a - b for a, b in zip([3, 7], [1, 2])]
[2, 5]
>>> import numpy as np
>>>
>>> def Naive_Gauss(Array,b):
... n = len(Array)
... for column in xrange(n-1):
... for row in xrange(column+1, n):
... xmult = Array[row][column] / Array[column][column]
... Array[row][column] = xmult
... #print Array[row][col]
... for col in xrange(0, n):
... Array[row][col] = Array[row][col] - xmult*Array[column][col]
... b[row] = b[row]-xmult*b[column]
... print Array
... print b
... return Array, b # <--- Without this, the function will return `None`.
...
>>> print Naive_Gauss(np.array([[2,3],[4,5]]),
... np.array([[6],[7]]))
[[ 2 3]
[-2 -1]]
[[ 6]
[-5]]
(array([[ 2, 3],
[-2, -1]]), array([[ 6],
[-5]]))
标签:python,list,python-2-7,typeerror,operands 来源: https://codeday.me/bug/20190929/1831380.html