为什么numpy会为以下代码抛出异常? foo/3
工作正常。
import numpy as np
class item(object):
def __init__(self, val = 0.0):
self._val = val
@property
def value(self):
return self._val
def __add__(self, other):
return item(self.value + other.value)
def __sub__(self, other):
return item(self.value - other.value)
def __mul__(self, other):
if isinstance(other, item):
return self.value * other.value
if isinstance(other, (int, float, long)):
return item(other*self.value)
raise TypeError("unsupported operand")
def __div__(self, other):
if isinstance(other, (int, float, long)):
return item(self.value/other)
raise TypeError("unsupported operand")
def __cmp__(self, other):
if self.value < other.value:
return -1
if self.value == other.value:
return 0
return 1
def __str__(self):
return "item <%f>" % self.value
data = [ item(x) for x in np.random.random(size = 1000) ]
foo = item(3.1)
foo/3
np.mean(data)
错误消息:
45 foo/3
46
---> 47 np.mean(data)
48
/usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.pyc in mean(a, axis, dtype, out, keepdims) 2714 2715 return
_methods._mean(a, axis=axis, dtype=dtype,
-> 2716 out=out, keepdims=keepdims) 2717 2718 def std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False):
/usr/lib/python2.7/dist-packages/numpy/core/_methods.pyc in _mean(a, axis, dtype, out, keepdims)
67 ret = ret.dtype.type(ret / rcount)
68 else:
---> 69 ret = ret / rcount
70
71 return ret
TypeError: unsupported operand type(s) for /: 'item' and 'int'
答案 0 :(得分:3)
我需要定义__truediv__
。文档说:
对象。
__div__
(自我,其他)对象。
__truediv__
(自我,其他)除法运算符(/)由这些方法实现。该
__truediv__()
生效时使用__future__.division
方法,否则使用__div__()
。如果这两种方法中只有一种是 定义后,该对象将不支持替代中的除法 上下文;将引发TypeError。
请参阅https://docs.python.org/2.7/reference/datamodel.html?highlight=len#object.truediv