hb_write#

scipy.io.hb_write(path_or_open_file,m,hb_info=None)[source]#

Write 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 openedbefore writing.

msparse array or matrix

the sparse array to write

hb_infoHBInfo

contains the meta-data for write

Returns:

None

Notes

At the moment not the full Harwell-Boeing format is supported. Supportedfeatures are:

• assembled, non-symmetric, real matrices

• integer for pointer/indices

• exponential format for float values, and int format

Examples

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

>>>fromscipy.ioimporthb_read,hb_write>>>fromscipy.sparseimportcsr_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

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