- numpy.save(file, arr, allow_pickle=True, fix_imports=True)[source]¶
Save an array to a binary file in NumPy .npy format.
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.
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
>>> 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])