[英]Subtypingclassing ndarray - how to construct from a normal ndarray
Consider the code below: 考虑下面的代码:
class imarray(np.ndarray):
def __new__(subtype, shape, dtype=float, buffer=None, offset=0,
strides=None, order=None):
if isinstance(shape, np.ndarray):
obj = shape #doesn't convert subtype.......
else:
obj = np.ndarray.__new__(subtype, shape, dtype, buffer, offset, strides,
order)
return obj
def __getitem__(self, key):
return np.ndarray.__getitem__(self, key)
z = np.zeros([2,3])
x = imarray((2,3))
y = imarray(z)
print(y, type(y))
print(x, type(x))
The line y = imarray(z)
should just create a copy and change the type of the array. y = imarray(z)
应仅创建一个副本并更改数组的类型。 (but imarray is a subclass of ndarray this should always work anyways). (但是imarray是ndarray的子类,无论如何应该总是可以工作)。
How would one do this? 一个人怎么做?
尝试:
obj = shape.view(imarray)
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