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numpy.save:保存一个数组到一个二进制文件为 ‘.npy’格式

保存一个数组到一个二进制文件为 ‘.npy’格式

def save(file, arr, allow_pickle=True, fix_imports=True):
    """
    Save an array to a binary file in NumPy ``.npy`` format.
    Parameters
    ----------
    file : file, str, or pathlib.Path
        File or filename to which the data is saved.  If file is a file-object,
        then the filename is unchanged.  If file is a string or Path, a ``.npy``
        extension will be appended to the file name if it does not already
        have one.
    allow_pickle : bool, optional
        Allow saving object arrays using Python pickles. Reasons for disallowing
        pickles include security (loading pickled data can execute arbitrary
        code) and portability (pickled objects may not be loadable on different
        Python installations, for example if the stored objects require libraries
        that are not available, and not all pickled data is compatible between
        Python 2 and Python 3).
        Default: True
    fix_imports : bool, optional
        Only useful in forcing objects in object arrays on Python 3 to be
        pickled in a Python 2 compatible way. If `fix_imports` is True, pickle
        will try to map the new Python 3 names to the old module names used in
        Python 2, so that the pickle data stream is readable with Python 2.
    arr : array_like
        Array data to be saved.
    See Also
    --------
    savez : Save several arrays into a ``.npz`` archive
    savetxt, load
    Notes
    -----
    For a description of the ``.npy`` format, see the module docstring
    of `numpy.lib.format` or the NumPy Enhancement Proposal
    http://docs.scipy.org/doc/numpy/neps/npy-format.html
    Examples
    --------
    >>> from tempfile import TemporaryFile
    >>> outfile = TemporaryFile()
    >>> x = np.arange(10)
    >>> np.save(outfile, x)
    >>> outfile.seek(0) # Only needed here to simulate closing & reopening file
    >>> np.load(outfile)
    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
    """

原创文章,作者:fendouai,如若转载,请注明出处:http://www.buluo360.com/2017/08/08/numpy-save-npy/

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