datastructures_matrix.py

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 # file: datastructures_matrix.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 example of using matrix data structures
 # !*****************************************************************************
 
 #
 ## <a name="DAAL-EXAMPLE-PY-DATASTRUCTURES_MATRIX">
 ## \example datastructures_matrix.py
 #
 
 import sys, os
 import numpy as np
 from daal.data_management import Matrix, BlockDescriptor, 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
 
 if __name__ == "__main__":
 
     print("Matrix numeric table example\n")
 
     nObservations = 10
     nFeatures = 11
     firstReadRow = 0
     nRead = 5
 
     #Example of using a matrix
     data = np.array([(0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1),
                      (1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2),
                      (2.0, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3),
                      (3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4),
                      (4.0, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5),
                      (5.0, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 1),
                      (6.0, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 2),
                      (7.0, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 3),
                      (8.0, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 4),
                      (9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 5)], dtype=np.float32)
 
     dataTable = Matrix(data, ntype=np.float32)
 
     block = BlockDescriptor()
 
     # Read a block of rows
     dataTable.getBlockOfRows(firstReadRow, nRead, readOnly, block)
     print(str(block.getNumberOfRows()) + " rows are read")
     printArray(block.getArray(), nFeatures, nRead, block.getNumberOfColumns(), "Print 5 rows from matrix data array as float:")
     dataTable.releaseBlockOfRows(block)
 
     readFeatureIdx = 2
 
     # Set new values in Matrix
     npdt = dataTable.getArray()
     npdt[firstReadRow, readFeatureIdx] = -1
     npdt[firstReadRow + 1, readFeatureIdx] = -2
     npdt[firstReadRow + 2, readFeatureIdx] = -3
 
     # Read a feature(column) and print it
     dataTable.getBlockOfColumnValues(readFeatureIdx, firstReadRow, nObservations, readOnly, block)
     printArray(block.getArray(), 1, block.getNumberOfRows(), block.getNumberOfColumns(), "Print the third feature of matrix data:")
     dataTable.releaseBlockOfColumnValues(block)
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