Module « scipy.sparse »

Fonction save_npz - module scipy.sparse

Signature de la fonction save_npz

def save_npz(file, matrix, compressed=True) 

Description

save_npz.__doc__

 Save a sparse matrix 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 (format: ``csc``, ``csr``, ``bsr``, ``dia`` or coo``)
        The sparse matrix to save.
    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 scipy.sparse
    >>> sparse_matrix = scipy.sparse.csc_matrix(np.array([[0, 0, 3], [4, 0, 0]]))
    >>> sparse_matrix
    <2x3 sparse matrix of type '<class 'numpy.int64'>'
       with 2 stored elements in Compressed Sparse Column format>
    >>> sparse_matrix.todense()
    matrix([[0, 0, 3],
            [4, 0, 0]], dtype=int64)

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

    >>> sparse_matrix
    <2x3 sparse matrix of type '<class 'numpy.int64'>'
       with 2 stored elements in Compressed Sparse Column format>
    >>> sparse_matrix.todense()
    matrix([[0, 0, 3],
            [4, 0, 0]], dtype=int64)