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  • 【python】numpy数据load报错

    使用numpy.load(‘xxx.npy’)数据时,报错UnicodeError: Unpickling a python object failed: UnicodeDecodeError

    解决办法

    由于默认编码问题,造成无法对数据解包:
    encoding must be 'ASCII', 'latin1', or 'bytes'
    所以在使用np.load()时需要加入编码选项:
    data = np.load('mynpy.npy',encoding='latin1')
    即可顺利载入。

    原因

    如果使用python3读取python2生成的npy就有可能产生编码错误,在numpy的源码里有说明:

    # https://github.com/numpy/numpy/blob/v1.16.1/numpy/lib/npyio.py#L287-L453
    # line 317
    encoding : str, optional
            What encoding to use when reading Python 2 strings. Only useful when
            loading Python 2 generated pickled files in Python 3, which includes
            npy/npz files containing object arrays. Values other than 'latin1',
            'ASCII', and 'bytes' are not allowed, as they can corrupt numerical
            data. Default: 'ASCII'
    
    
    # 编码方式只允许选择下面三个中的一个
    # line 390
    if encoding not in ('ASCII', 'latin1', 'bytes'):
            # The 'encoding' value for pickle also affects what encoding
            # the serialized binary data of NumPy arrays is loaded
            # in. Pickle does not pass on the encoding information to
            # NumPy. The unpickling code in numpy.core.multiarray is
            # written to assume that unicode data appearing where binary
            # should be is in 'latin1'. 'bytes' is also safe, as is 'ASCII'.
            #
            # Other encoding values can corrupt binary data, and we
            # purposefully disallow them. For the same reason, the errors=
            # argument is not exposed, as values other than 'strict'
            # result can similarly silently corrupt numerical data.
            raise ValueError("encoding must be 'ASCII', 'latin1', or 'bytes'")
    

    ref:
    numpy:https://docs.scipy.org/doc/numpy/reference/generated/numpy.load.html
    https://blog.csdn.net/qq_36718092/article/details/87983922

    https://images.pexels.com/photos/1983021/pexels-photo-1983021.jpeg

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  • 原文地址:https://www.cnblogs.com/Tom-Ren/p/11054596.html
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