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Module « numpy »

Fonction save - module numpy

Signature de la fonction save

def save(file, arr, allow_pickle=True, fix_imports=<no value>) 

Description

help(numpy.save)

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 filename if it does not
    already have one.
arr : array_like
    Array data to be saved.
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 different versions of Python).
    Default: True
fix_imports : bool, optional
    The `fix_imports` flag is deprecated and has no effect.

    .. deprecated:: 2.1
        This flag is ignored since NumPy 1.17 and was only needed to
        support loading some files in Python 2 written in Python 3.

See Also
--------
savez : Save several arrays into a ``.npz`` archive
savetxt, load

Notes
-----
For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`.

Any data saved to the file is appended to the end of the file.

Examples
--------
>>> import numpy as np

>>> from tempfile import TemporaryFile
>>> outfile = TemporaryFile()

>>> x = np.arange(10)
>>> np.save(outfile, x)

>>> _ = outfile.seek(0) # Only needed to simulate closing & reopening file
>>> np.load(outfile)
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])


>>> with open('test.npy', 'wb') as f:
...     np.save(f, np.array([1, 2]))
...     np.save(f, np.array([1, 3]))
>>> with open('test.npy', 'rb') as f:
...     a = np.load(f)
...     b = np.load(f)
>>> print(a, b)
# [1 2] [1 3]

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