scipy.io.
hb_read#
- 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