28 from daal.data_management
import Matrix, BlockDescriptor, readOnly
30 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
31 if utils_folder
not in sys.path:
32 sys.path.insert(0, utils_folder)
33 from utils
import printArray
35 if __name__ ==
"__main__":
37 print(
"Matrix numeric table example\n")
45 data = np.array([(0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),
46 (1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2),
47 (2.0, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3),
48 (3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4),
49 (4.0, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5),
50 (5.0, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 1),
51 (6.0, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 2),
52 (7.0, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 3),
53 (8.0, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 4),
54 (9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 5)], dtype=np.float32)
56 dataTable = Matrix(data, ntype=np.float32)
58 block = BlockDescriptor()
61 dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
62 print(str(block.getNumberOfRows()) +
" rows are read")
63 printArray(block.getArray(), nFeatures, nRead, block.getNumberOfColumns(),
"Print 5 rows from matrix data array as float:")
64 dataTable.releaseBlockOfRows(block)
69 npdt = dataTable.getArray()
70 npdt[firstReadRow, readFeatureIdx] = -1
71 npdt[firstReadRow + 1, readFeatureIdx] = -2
72 npdt[firstReadRow + 2, readFeatureIdx] = -3
75 dataTable.getBlockOfColumnValues(readFeatureIdx, firstReadRow, nObservations, readOnly, block)
76 printArray(block.getArray(), 1, block.getNumberOfRows(), block.getNumberOfColumns(),
"Print the third feature of matrix data:")
77 dataTable.releaseBlockOfColumnValues(block)