50 from daal.data_management
import HomogenNumericTable, BlockDescriptor, readOnly
52 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
53 if utils_folder
not in sys.path:
54 sys.path.insert(0, utils_folder)
55 from utils
import printArray
58 if __name__ ==
"__main__":
60 print(
"Homogeneous numeric table example\n")
62 data = np.array([(0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),
63 (1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2),
64 (2.0, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3),
65 (3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4),
66 (4.0, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5),
67 (5.0, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 1),
68 (6.0, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 2),
69 (7.0, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 3),
70 (8.0, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 4),
71 (9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 5),])
73 nObservations = len(data)
74 nFeatures = len(data[0])
79 dataTable = HomogenNumericTable(data)
80 block = BlockDescriptor()
81 num_cols = block.getNumberOfColumns()
82 dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
83 print(
"%s rows are read" % (block.getNumberOfRows()))
85 block.getArray(), nFeatures, block.getNumberOfRows(), 11,
86 "Print 3 rows from homogeneous data array as double:"
88 dataTable.releaseBlockOfRows(block)
91 dataTable.getBlockOfColumnValues(readFeatureIdx, firstReadRow, nObservations, readOnly, block)
92 printArray(block.getArray(), 1, 10, 1,
"Print the third feature of homogeneous data:")
93 dataTable.releaseBlockOfColumnValues(block)
96 dataFromNumericTable = dataTable.getArray()
97 printArray(dataFromNumericTable, nFeatures, nObservations, 11,
"Data from getArray:")
99 newData = np.array([(1.0, 2.0),
103 nNewVectors = len(newData)
104 nNewFeatures = len(newData[0])
107 dataTable = HomogenNumericTable(newData)
110 dataTable.setNumberOfColumns(nNewFeatures)
111 dataTable.setNumberOfRows(nNewVectors)
115 dataTable.getBlockOfColumnValues(readFeatureIdx, firstReadRow, nNewVectors, readOnly, block)
116 printArray(block.getArray(), 1, 3, 1,
"Print the second feature of new data:")
117 dataTable.releaseBlockOfColumnValues(block)