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bundles / scipy 1.17.1 / scipy / sparse / _matrix_io / load_npz

function

scipy.sparse._matrix_io:load_npz

source: /scipy/sparse/_matrix_io.py :84

Signature

def   load_npz ( file )

Summary

Load a sparse array/matrix from 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 loaded.

Returns

result : csc_array, csr_array, bsr_array, dia_array or coo_array

A sparse array/matrix containing the loaded data.

Raises

: OSError

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

Examples

Store sparse array/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()
✗
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()
✗
In this example we force the result to be csr_array from csr_matrix 
sparse_matrix = sp.sparse.csc_matrix([[0, 0, 3], [4, 0, 0]])
sp.sparse.save_npz('/tmp/sparse_matrix.npz', sparse_matrix)
tmp = sp.sparse.load_npz('/tmp/sparse_matrix.npz')
sparse_array = sp.sparse.csr_array(tmp)
✓

See also

numpy.load

Load several arrays from a .npz archive.

scipy.sparse.save_npz

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

Aliases

  • scipy.sparse.load_npz

Referenced by

This package