所以我有一个看起来像这样的函数:
fid = open('data/data' + str(digit), 'rb')
dim = np.fromfile(fid, dtype=np.uint8) # read in entire dataset
# loop through the thousand examples and smartly index them to get 28x28 images
for i in xrange(0, 1000):
# indices to go through data file
index = i*28*28
nextindex = (i+1)*28*28
# get the images in 28x28 format & convert all pixels to binary
newdim = dim[index:nextindex]
newdim = newdim.reshape(28, 28)
我想回头看起来像这样:
self=[1,2,3,4,5,6,7,8]
def evens(self):
evens=[]
for item in self:
if item%2==0:
evens.append(item)
return 'intlist({})'.format(evens)
但我得到了这个:
intlist[2,4,6,8]
如何在没有单引号的情况下获得回报?
这个函数实际上是我写的一个类。
答案 0 :(得分:3)
你是否在REPL中运行它?
你应该print()
结果。默认情况下,REPL显示结果的repr
。
NB。查看关于使用self
作为变量的评论
>>> self=[1,2,3,4,5,6,7,8]
>>>
>>> def evens(self):
... evens=[]
... for item in self:
... if item%2==0:
... evens.append(item)
... return 'intlist({})'.format(evens)
...
>>> evens(self)
'intlist([2, 4, 6, 8])'
>>> print(evens(self))
intlist([2, 4, 6, 8])
答案 1 :(得分:1)
打印功能正常
python3:
>>> self=[1,2,3,4,5,6,7,8]
>>> print('intlist({})'.format(self))
intlist([1, 2, 3, 4, 5, 6, 7, 8])