package scipy

Get an attribute of this module as a Py.Object.t. This is useful to pass a Python function to another function.

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.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

Write 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 writing. m : sparse-matrix the sparse matrix to write hb_info : HBInfo contains the meta-data for write

Returns ------- None

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