hb_read — SciPy v1.15.2 Manual (original) (raw)

scipy.io.

scipy.io.hb_read(path_or_open_file, *, spmatrix=True)[source]#

Read HB-format file.

Parameters:

path_or_open_filepath-like or file-like

If a file-like object, it is used as-is. Otherwise, it is opened before reading.

spmatrixbool, optional (default: True)

If True, return sparse coo_matrix. Otherwise return coo_array.

Returns:

datacsc_array or csc_matrix

The data read from the HB file as a sparse array.

Notes

At the moment not the full Harwell-Boeing format is supported. Supported features are:

• assembled, non-symmetric, real matrices
• integer for pointer/indices
• exponential format for float values, and int format

Examples

We can read and write a harwell-boeing format file:

from scipy.io import hb_read, hb_write from scipy.sparse import csr_array, eye data = csr_array(eye(3)) # create a sparse array hb_write("data.hb", data) # write a hb file print(hb_read("data.hb", spmatrix=False)) # read a hb file <Compressed Sparse Column sparse array of dtype 'float64' with 3 stored elements and shape (3, 3)> Coords Values (0, 0) 1.0 (1, 1) 1.0 (2, 2) 1.0