scipy.io.hb_read#

scipy.io.hb_read(path_or_open_file)[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.

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

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

>>> from scipy.io.harwell_boeing import hb_read, hb_write
>>> from scipy.sparse import csr_matrix, eye
>>> data = csr_matrix(eye(3))  # create a sparse matrix
>>> hb_write("data.hb", data)  # write a hb file
>>> print(hb_read("data.hb"))  # read a hb file
  (0, 0)    1.0
  (1, 1)    1.0
  (2, 2)    1.0

scipy.io.netcdf_variable.typecode

scipy.io.hb_write