scipy.io.
mmread#
- scipy.io.mmread(source, *, spmatrix=True)[source]#
- Reads the contents of a Matrix Market file-like ‘source’ into a matrix. - Parameters:
- sourcestr or file-like
- Matrix Market filename (extensions .mtx, .mtz.gz) or open file-like object. 
- spmatrixbool, optional (default: True)
- If - True, return sparse- coo_matrix. Otherwise return- coo_array.
 
- Returns:
- andarray or coo_array
- Dense or sparse array depending on the matrix format in the Matrix Market file. 
 
 - Notes - Changed in version 1.12.0: C++ implementation. - Examples - >>> from io import StringIO >>> from scipy.io import mmread - >>> text = '''%%MatrixMarket matrix coordinate real general ... 5 5 7 ... 2 3 1.0 ... 3 4 2.0 ... 3 5 3.0 ... 4 1 4.0 ... 4 2 5.0 ... 4 3 6.0 ... 4 4 7.0 ... ''' - mmread(source)returns the data as sparse array in COO format.- >>> m = mmread(StringIO(text), spmatrix=False) >>> m <COOrdinate sparse array of dtype 'float64' with 7 stored elements and shape (5, 5)> >>> m.toarray() array([[0., 0., 0., 0., 0.], [0., 0., 1., 0., 0.], [0., 0., 0., 2., 3.], [4., 5., 6., 7., 0.], [0., 0., 0., 0., 0.]]) - This method is threaded. The default number of threads is equal to the number of CPUs in the system. Use threadpoolctl to override: - >>> import threadpoolctl >>> >>> with threadpoolctl.threadpool_limits(limits=2): ... m = mmread(StringIO(text), spmatrix=False)