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Module « scipy.sparse »

Fonction save_npz - module scipy.sparse

Signature de la fonction save_npz

def save_npz(file, matrix, compressed=True) 

Description

help(scipy.sparse.save_npz)

Save a sparse matrix or array to a file using ``.npz`` format.

Parameters
----------
file : str or file-like object
    Either the file name (string) or an open file (file-like object)
    where the data will be saved. If file is a string, the ``.npz``
    extension will be appended to the file name if it is not already
    there.
matrix: spmatrix or sparray
    The sparse matrix or array to save.
    Supported formats: ``csc``, ``csr``, ``bsr``, ``dia`` or ``coo``.
compressed : bool, optional
    Allow compressing the file. Default: True

See Also
--------
scipy.sparse.load_npz: Load a sparse matrix from a file using ``.npz`` format.
numpy.savez: Save several arrays into a ``.npz`` archive.
numpy.savez_compressed : Save several arrays into a compressed ``.npz`` archive.

Examples
--------
Store sparse matrix to disk, and load it again:

>>> import numpy as np
>>> import scipy as sp
>>> sparse_matrix = sp.sparse.csc_matrix([[0, 0, 3], [4, 0, 0]])
>>> sparse_matrix
<Compressed Sparse Column sparse matrix of dtype 'int64'
    with 2 stored elements and shape (2, 3)>
>>> sparse_matrix.toarray()
array([[0, 0, 3],
       [4, 0, 0]], dtype=int64)

>>> sp.sparse.save_npz('/tmp/sparse_matrix.npz', sparse_matrix)
>>> sparse_matrix = sp.sparse.load_npz('/tmp/sparse_matrix.npz')

>>> sparse_matrix
<Compressed Sparse Column sparse matrix of dtype 'int64'
    with 2 stored elements and shape (2, 3)>
>>> sparse_matrix.toarray()
array([[0, 0, 3],
       [4, 0, 0]], dtype=int64)

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