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bundles / scipy 1.18.0 / scipy / sparse / _matrix_io / save_npz

function

scipy.sparse._matrix_io:save_npz

source: /scipy/sparse/_matrix_io.py:11

Signature

def save_npz(file, matrix, compressed = True)

Summary

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

Examples

Store sparse matrix to disk, and load it again:
import numpy as np
import scipy as sp
sparse_array = sp.sparse.csc_array([[0, 0, 3], [4, 0, 0]])
✓
sparse_array
sparse_array.toarray()
✗
array([[0, 0, 3],
       [4, 0, 0]])
sp.sparse.save_npz('/tmp/sparse_array.npz', sparse_array)
sparse_array = sp.sparse.load_npz('/tmp/sparse_array.npz')
✓
sparse_array
sparse_array.toarray()
✗
array([[0, 0, 3],
       [4, 0, 0]])

See also

numpy.savez

Save several arrays into a .npz archive.

numpy.savez_compressed

Save several arrays into a compressed .npz archive.

scipy.sparse.load_npz

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

Aliases

  • scipy.sparse.save_npz

Referenced by