numpy-fromstring已被弃用，请改用frombruffer

Question

在Python代码中使用numpy 1.18.1

`def printBoard(self(：current=self.playerother=self-layer%2+1

currBin   = '{:049b}'.format(self.current_position)
currRev = currBin[::-1]
cArr = (np.fromstring(currRev,'u1') - ord('0'))*current
other_position = self.current_position^self.mask
othBin   = '{:049b}'.format(other_position)
othRev = othBin[::-1]
oArr = (np.fromstring(othRev,'u1') - ord('0'))*other
tArr =  oArr+cArr
brd = np.reshape(tArr,(7,7),order = 'F')
for y in range(bitBoard.HEIGHT,-1,-1):
for x in range(bitBoard.WIDTH):
print(brd[y,x],end = ' ')
print()
print()
`

线路：

cArr = (np.fromstring(currRev,'u1') - ord('0'))*current

发出以下警告：

DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on    unicode inputs. Use frombuffer instead
cArr = (np.fromstring(currRev,'u1') - ord('0'))*current

将"fromstring"替换为"fromsbuffer"会出现以下错误：

cArr = (np.frombuffer(currRev,'u1') - ord('0'))*current
TypeError: a bytes-like object is required, not 'str'

尽管我在谷歌上搜索了一下，但还是找不到应该用什么。有人能帮忙吗？

谢谢。

Alan

Answer 1

代码的相关部分是生成currRev的部分。由此，我可以构建这个例子：

In [751]: astr = '{:049b}'.format(123)[::-1]                                                   
In [752]: astr                                                                                 
Out[752]: '1101111000000000000000000000000000000000000000000'

您的警告：

In [753]: np.fromstring(astr, 'u1')                                                            
/usr/local/bin/ipython3:1: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead
#!/usr/bin/python3
Out[753]: 
array([49, 49, 48, 49, 49, 49, 49, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48,
48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48,
48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48],
dtype=uint8)

frombuffer想要一个字节串，所以让我们创建一个：

In [754]: astr.encode()                                                                        
Out[754]: b'1101111000000000000000000000000000000000000000000'
In [755]: np.frombuffer(astr.encode(),'u1')                                                    
Out[755]: 
array([49, 49, 48, 49, 49, 49, 49, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48,
48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48,
48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48],
dtype=uint8)

其余部分：

In [756]: _-ord('0')                                                                           
Out[756]: 
array([1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0], dtype=uint8)

获得相同阵列的另一种方法：

In [758]: np.array(list(astr),'uint8')                                                         
Out[758]: 
array([1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0], dtype=uint8)