python – nump.load跟随numpy.savez的断言错误

array([1,2,3,4,5,6,7,8,9])

我正在保存这些数组：

np.savez_compressed('tmp/test',a=a,b=b,c=c,d=d,e=e)

这会导致创建一个test.npz文件.

但是我在尝试加载数据时遇到问题(如下例所示)：

>>> f=np.load('tmp/test.npz')
>>> f.files
['a','c','b','e','d']
>>> f['a']

给出一大串错误,结尾于：

File "C:Python27libcompilertransformer.py",line 754,in atom_lbrace
return self.com_dictorsetmaker(nodelist[1])
File "C:Python27libcompilertransformer.py",line 1214,in com_dictorsetmaker
assert nodelist[0] == symbol.dictorsetmaker
AssertionError

我考虑过使用泡菜.但是这会导致文件大小是.npz文件的四倍,所以我想使用savez或savez_compressed.

有没有人知道我做错了什么,或者建议采用其他方法？

这是一个会产生错误的脚本：

def saver():
    import numpy as np
    a= np.arange(1,10)
    b=a
    c=a
    d=a
    e=a
    np.savez_compressed('tmp/test',e=e)
    f=np.load('tmp/test.npz')
    print f.files
    print f['a']

这是完整的追溯：

Traceback (most recent call last):
  File "<pyshell#16>",line 1,in <module>
    saver.saver()
  File "C:Python27saver.py",line 14,in saver
    print f['a']
  File "C:Python27libsite-packagesnumpylibnpyio.py",line 241,in __getitem__
    return format.read_array(value)
  File "C:Python27libsite-packagesnumpylibformat.py",line 440,in read_array
    shape,fortran_order,dtype = read_array_header_1_0(fp)
  File "C:Python27libsite-packagesnumpylibformat.py",line 336,in read_array_header_1_0
    d = safe_eval(header)
  File "C:Python27libsite-packagesnumpylibutils.py",line 1156,in safe_eval
    ast = compiler.parse(source,mode="eval")
  File "C:Python27libcompilertransformer.py",line 53,in parse
    return Transformer().parseexpr(buf)
  File "C:Python27libcompilertransformer.py",line 132,in parseexpr
    return self.transform(parser.expr(text))
  File "C:Python27libcompilertransformer.py",line 124,in transform
    return self.compile_node(tree)
  File "C:Python27libcompilertransformer.py",line 159,in compile_node
    return self.eval_input(node[1:])
  File "C:Python27libcompilertransformer.py",line 194,in eval_input
    return Expression(self.com_node(nodelist[0]))
  File "C:Python27libcompilertransformer.py",line 805,in com_node
    return self._dispatch[node[0]](node[1:])
  File "C:Python27libcompilertransformer.py",line 578,in testlist
    return self.com_binary(Tuple,nodelist)
  File "C:Python27libcompilertransformer.py",line 1082,in com_binary
    return self.lookup_node(n)(n[1:])
  File "C:Python27libcompilertransformer.py",line 596,in test
    then = self.com_node(nodelist[0])
  File "C:Python27libcompilertransformer.py",line 610,in or_test
    return self.com_binary(Or,line 615,in and_test
    return self.com_binary(And,line 619,in not_test
    result = self.com_node(nodelist[-1])
  File "C:Python27libcompilertransformer.py",line 626,in comparison
    node = self.com_node(nodelist[0])
  File "C:Python27libcompilertransformer.py",line 659,in expr
    return self.com_binary(Bitor,line 663,in xor_expr
    return self.com_binary(Bitxor,line 667,in and_expr
    return self.com_binary(Bitand,line 671,in shift_expr
    node = self.com_node(nodelist[0])
  File "C:Python27libcompilertransformer.py",line 683,in arith_expr
    node = self.com_node(nodelist[0])
  File "C:Python27libcompilertransformer.py",line 695,in term
    node = self.com_node(nodelist[0])
  File "C:Python27libcompilertransformer.py",line 715,in factor
    node = self.lookup_node(nodelist[-1])(nodelist[-1][1:])
  File "C:Python27libcompilertransformer.py",line 727,in power
    node = self.com_node(nodelist[0])
  File "C:Python27libcompilertransformer.py",line 739,in atom
    return self._atom_dispatch[nodelist[0][0]](nodelist)
  File "C:Python27libcompilertransformer.py",in atom_lbrace
    return self.com_dictorsetmaker(nodelist[1])
  File "C:Python27libcompilertransformer.py",in com_dictorsetmaker
    assert nodelist[0] == symbol.dictorsetmaker
AssertionError