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ParametersRaisesReturnsBackRef

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.

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

import numpy as np
import scipy.sparse
sparse_matrix = scipy.sparse.csc_matrix(np.array([[0, 0, 3], [4, 0, 0]]))
sparse_matrix

sparse_matrix.toarray()

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

sparse_matrix

sparse_matrix.toarray()

Back References

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

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them