Vous êtes un professionnel et vous avez besoin d'une formation ? Programmation Python
Les compléments Voir le programme détaillé

Module « numpy.matlib »

Fonction savez_compressed - module numpy.matlib

Signature de la fonction savez_compressed

def savez_compressed(file, *args, allow_pickle=True, **kwds) 

Description

help(numpy.matlib.savez_compressed)

Save several arrays into a single file in compressed ``.npz`` format.

Provide arrays as keyword arguments to store them under the
corresponding name in the output file: ``savez_compressed(fn, x=x, y=y)``.

If arrays are specified as positional arguments, i.e.,
``savez_compressed(fn, x, y)``, their names will be `arr_0`, `arr_1`, etc.

Parameters
----------
file : file, str, or pathlib.Path
    Either the filename (string) or an open file (file-like object)
    where the data will be saved. If file is a string or a Path, the
    ``.npz`` extension will be appended to the filename if it is not
    already there.
args : Arguments, optional
    Arrays to save to the file. Please use keyword arguments (see
    `kwds` below) to assign names to arrays.  Arrays specified as
    args will be named "arr_0", "arr_1", and so on.
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
kwds : Keyword arguments, optional
    Arrays to save to the file. Each array will be saved to the
    output file with its corresponding keyword name.

Returns
-------
None

See Also
--------
numpy.save : Save a single array to a binary file in NumPy format.
numpy.savetxt : Save an array to a file as plain text.
numpy.savez : Save several arrays into an uncompressed ``.npz`` file format
numpy.load : Load the files created by savez_compressed.

Notes
-----
The ``.npz`` file format is a zipped archive of files named after the
variables they contain.  The archive is compressed with
``zipfile.ZIP_DEFLATED`` and each file in the archive contains one variable
in ``.npy`` format. For a description of the ``.npy`` format, see
:py:mod:`numpy.lib.format`.


When opening the saved ``.npz`` file with `load` a `~lib.npyio.NpzFile`
object is returned. This is a dictionary-like object which can be queried
for its list of arrays (with the ``.files`` attribute), and for the arrays
themselves.

Examples
--------
>>> import numpy as np
>>> test_array = np.random.rand(3, 2)
>>> test_vector = np.random.rand(4)
>>> np.savez_compressed('/tmp/123', a=test_array, b=test_vector)
>>> loaded = np.load('/tmp/123.npz')
>>> print(np.array_equal(test_array, loaded['a']))
True
>>> print(np.array_equal(test_vector, loaded['b']))
True

Vous êtes un professionnel et vous avez besoin d'une formation ? Deep Learning avec Python
et Keras et Tensorflow Voir le programme détaillé