scipy.io.

hb_read

scipy.io.hb_read(path_or_open_file)

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.

Returns:

datascipy.sparse.csc_matrix instance

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

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

Try it in your browser!

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"))  # read a hb file
<Compressed Sparse Column sparse matrix 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

Go BackOpen In Tab