Skip to main content
`Ctrl`+`K`

# scipy.io.hb_read

scipy.io.hb_read(path_or_open_file)

  Read HB-format file.

  Parameters:
    path_or_open_file path-like or file-like

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

  Returns:
    data scipy.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 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