我试图了解numpy.getfromtxt方法和io.StringIO是如何工作的。我在官网(https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.genfromtxt.html#numpy.genfromtxt)上找到了一些例子。以下是其中之一:
s = StringIO("1,1.3,abcde")
data = np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'),('mystring','S5')], delimiter=",")但是,当我在我的计算机上运行这段代码时,我得到: TypeError:必须是str或空,而不是字节
请告诉我怎么修理它?
发布于 2018-02-10 17:11:05
In [200]: np.__version__
Out[200]: '1.14.0'这个例子适用于我:
In [201]: s = io.StringIO("1,1.3,abcde")
In [202]: np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'),
...: ... ('mystring','S5')], delimiter=",")
Out[202]:
array((1, 1.3, b'abcde'),
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', 'S5')])它也适用于字节字符串:
In [204]: s = io.BytesIO(b"1,1.3,abcde")
In [205]: np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'),
...: ... ('mystring','S5')], delimiter=",")
Out[205]:
array((1, 1.3, b'abcde'),
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', 'S5')])genfromtxt适用于任何输入其行的内容,因此我通常直接使用字节串列表(当测试问题时):
In [206]: s = [b"1,1.3,abcde"]
In [207]: np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'),
...: ... ('mystring','S5')], delimiter=",")
Out[207]:
array((1, 1.3, b'abcde'),
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', 'S5')])或者有几行
In [208]: s = b"""1,1.3,abcde
...: 4,1.3,two""".splitlines()
In [209]: s
Out[209]: [b'1,1.3,abcde', b'4,1.3,two']
In [210]: np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','f8'),
...: ... ('mystring','S5')], delimiter=",")
Out[210]:
array([(1, 1.3, b'abcde'), (4, 1.3, b'two')],
dtype=[('myint', '<i8'), ('myfloat', '<f8'), ('mystring', 'S5')])过去使用dtype=None,genfromtxt创建了S字符串。
NumPy dtype问题在genfromtxt()中,将字符串读入为字节串
使用1.14,我们可以控制默认的字符串dtype:
In [219]: s = io.StringIO("1,1.3,abcde")
In [220]: np.genfromtxt(s, dtype=None, delimiter=",")
/usr/local/bin/ipython3:1: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.
#!/usr/bin/python3
Out[220]:
array((1, 1.3, b'abcde'),
dtype=[('f0', '<i4'), ('f1', '<f8'), ('f2', 'S5')])
In [221]: s = io.StringIO("1,1.3,abcde")
In [222]: np.genfromtxt(s, dtype=None, delimiter=",",encoding=None)
Out[222]:
array((1, 1.3, 'abcde'),
dtype=[('f0', '<i4'), ('f1', '<f8'), ('f2', '<U5')])https://docs.scipy.org/doc/numpy/release.html#encoding-argument-for-text-io-functions
现在,我可以用Py3字符串生成示例,而不必生成所有丑陋的b'string'结果(但要记住,并非每个人都升级到1.14):
In [223]: s = """1,1.3,abcde
...: 4,1.3,two""".splitlines()
In [224]: np.genfromtxt(s, dtype=None, delimiter=",",encoding=None)
Out[224]:
array([(1, 1.3, 'abcde'), (4, 1.3, 'two')],
dtype=[('f0', '<i4'), ('f1', '<f8'), ('f2', '<U5')])发布于 2018-02-10 17:06:12
考虑升级numpy,因为对于当前版本的numpy,您的代码只是按编写的方式工作。有关1.14.0发布说明中提到的重点的相关更改,请参阅np.genfromtxt和文本IO函数的编码参数一节。
对于较老的numpy,输入使用string对象,但链接的文档如下:
Note that generators must return byte strings in Python 3k. 那么,按照文档的话做,并给它一个字节字符串:
import io
s = io.BytesIO(b"1,1.3,abcde")https://stackoverflow.com/questions/48723311
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