load_npz(file)

Parameters

file : str or file-like object

Either the file name (string) or an open file (file-like object) where the data will be loaded.

Raises

OSError

If the input file does not exist or cannot be read.

Returns

result : csc_matrix, csr_matrix, bsr_matrix, dia_matrix or coo_matrix

A sparse matrix containing the loaded data.

Load a sparse matrix from a file using .npz format.

See Also

numpy.load

Load several arrays from a .npz archive.

scipy.sparse.save_npz

Save a sparse matrix to a file using .npz format.

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.toarray()
array([[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.toarray()
array([[0, 0, 3],
       [4, 0, 0]], dtype=int64)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.sparse._matrix_io.save_npz scipy.sparse._matrix_io.load_npz

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GitHub : /scipy/sparse/_matrix_io.py#75
type: <class 'function'>
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