datastructures_rowmerged.py

Deprecation Notice: With the introduction of daal4py, a package that supersedes PyDAAL, Intel is deprecating PyDAAL and will discontinue support starting with Intel® DAAL 2021 and Intel® Distribution for Python 2021. Until then Intel will continue to provide compatible pyDAAL pip and conda packages for newer releases of Intel DAAL and make it available in open source. However, Intel will not add the new features of Intel DAAL to pyDAAL. Intel recommends developers switch to and use daal4py.

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 # file: datastructures_rowmerged.py
 #===============================================================================
 # Copyright 2014-2019 Intel Corporation.
 #
 # This software and the related documents are Intel copyrighted  materials,  and
 # your use of  them is  governed by the  express license  under which  they were
 # provided to you (License).  Unless the License provides otherwise, you may not
 # use, modify, copy, publish, distribute,  disclose or transmit this software or
 # the related documents without Intel's prior written permission.
 #
 # This software and the related documents  are provided as  is,  with no express
 # or implied  warranties,  other  than those  that are  expressly stated  in the
 # License.
 #===============================================================================
 
 #
 # !  Content:
 # !    Python row merged data structures example.
 # !*****************************************************************************
 
 #
 ## <a name="DAAL-EXAMPLE-PY-DATASTRUCTURES_ROWMERGED"></a>
 ## \example datastructures_rowmerged.py
 #
 
 import os
 import sys
 
 import numpy as np
 
 from daal.data_management import (
     DictionaryIface, HomogenNumericTable, RowMergedNumericTable, BlockDescriptor, convertToHomogen, readWrite, readOnly
 )
 
 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
 if utils_folder not in sys.path:
     sys.path.insert(0, utils_folder)
 from utils import printArray, printNumericTable
 
 if __name__ == "__main__":
 
     print("Row merged numeric table example\n")
 
     nObservations1 = 5
     nObservations2 = 6
     nFeatures = 5
     firstReadRow = 3
     nRead = 6
     featureIdx = 2
 
     # Example of using homogeneous numeric table
     data1 = np.array([(0.0, 0.1, 0.2, 0.3, 0.4,),
                       (1.0, 1.1, 1.2, 1.3, 1.4,),
                       (2.0, 2.1, 2.2, 2.3, 2.4,),
                       (3.0, 3.1, 3.2, 3.3, 3.4,),
                       (4.0, 4.1, 4.2, 4.3, 4.4,),])
 
     data2 = np.array([(0.5, 0.6, 0.7, 0.8, 0.9,),
                       (1.5, 1.6, 1.7, 1.8, 1.9,),
                       (2.5, 2.6, 2.7, 2.8, 2.9,),
                       (3.5, 3.6, 3.7, 3.8, 3.9,),
                       (4.5, 4.6, 4.7, 4.8, 4.9,),
                       (5.5, 5.6, 5.7, 5.8, 5.9,),])
 
     # Create row merged numeric table consisting of two homogen numeric tables
     table1 = HomogenNumericTable(DictionaryIface.equal, data1)
     table2 = HomogenNumericTable(DictionaryIface.equal, data2)
 
     dataTable = RowMergedNumericTable()
     dataTable.addNumericTable(table1)
     dataTable.addNumericTable(table2)
 
     block = BlockDescriptor()
 
     # Read one row from merged numeric table
     dataTable.getBlockOfRows(0, nObservations1 + nObservations2, readWrite, block)
     printArray(block.getArray(), nFeatures, block.getNumberOfRows(), block.getNumberOfColumns(),
                "Print rows from row merged numeric table as float:")
 
     # Modify row of the merged numeric table
     row = block.getArray()
     for i in range(nObservations1 + nObservations2):
         row[i][featureIdx] *= row[i][featureIdx]
     dataTable.releaseBlockOfRows(block)
 
     dataTable.getBlockOfRows(0, nObservations1 + nObservations2, readOnly, block)
     printArray(block.getArray(), nFeatures, block.getNumberOfRows(), block.getNumberOfColumns(),
                "Print rows from row merged numeric table as float:")
     dataTable.releaseBlockOfRows(block)
 
     finalizedTable = convertToHomogen(dataTable)
 
     printNumericTable(finalizedTable, "Row merged table converted to homogen numeric table")
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