Python* API Reference for Intel® Data Analytics Acceleration Library 2019

datastructures_rowmerged.py

1 # file: datastructures_rowmerged.py
2 #===============================================================================
3 # Copyright 2014-2018 Intel Corporation.
4 #
5 # This software and the related documents are Intel copyrighted materials, and
6 # your use of them is governed by the express license under which they were
7 # provided to you (License). Unless the License provides otherwise, you may not
8 # use, modify, copy, publish, distribute, disclose or transmit this software or
9 # the related documents without Intel's prior written permission.
10 #
11 # This software and the related documents are provided as is, with no express
12 # or implied warranties, other than those that are expressly stated in the
13 # License.
14 #===============================================================================
15 
16 #
17 # ! Content:
18 # ! Python row merged data structures example.
19 # !*****************************************************************************
20 
21 #
22 
23 
24 #
25 
26 import os
27 import sys
28 
29 import numpy as np
30 
31 from daal.data_management import (
32  DictionaryIface, HomogenNumericTable, RowMergedNumericTable, BlockDescriptor, convertToHomogen, readWrite, readOnly
33 )
34 
35 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
36 if utils_folder not in sys.path:
37  sys.path.insert(0, utils_folder)
38 from utils import printArray, printNumericTable
39 
40 if __name__ == "__main__":
41 
42  print("Row merged numeric table example\n")
43 
44  nObservations1 = 5
45  nObservations2 = 6
46  nFeatures = 5
47  firstReadRow = 3
48  nRead = 6
49  featureIdx = 2
50 
51  # Example of using homogeneous numeric table
52  data1 = np.array([(0.0, 0.1, 0.2, 0.3, 0.4,),
53  (1.0, 1.1, 1.2, 1.3, 1.4,),
54  (2.0, 2.1, 2.2, 2.3, 2.4,),
55  (3.0, 3.1, 3.2, 3.3, 3.4,),
56  (4.0, 4.1, 4.2, 4.3, 4.4,),])
57 
58  data2 = np.array([(0.5, 0.6, 0.7, 0.8, 0.9,),
59  (1.5, 1.6, 1.7, 1.8, 1.9,),
60  (2.5, 2.6, 2.7, 2.8, 2.9,),
61  (3.5, 3.6, 3.7, 3.8, 3.9,),
62  (4.5, 4.6, 4.7, 4.8, 4.9,),
63  (5.5, 5.6, 5.7, 5.8, 5.9,),])
64 
65  # Create row merged numeric table consisting of two homogen numeric tables
66  table1 = HomogenNumericTable(DictionaryIface.equal, data1)
67  table2 = HomogenNumericTable(DictionaryIface.equal, data2)
68 
69  dataTable = RowMergedNumericTable()
70  dataTable.addNumericTable(table1)
71  dataTable.addNumericTable(table2)
72 
73  block = BlockDescriptor()
74 
75  # Read one row from merged numeric table
76  dataTable.getBlockOfRows(0, nObservations1 + nObservations2, readWrite, block)
77  printArray(block.getArray(), nFeatures, block.getNumberOfRows(), block.getNumberOfColumns(),
78  "Print rows from row merged numeric table as float:")
79 
80  # Modify row of the merged numeric table
81  row = block.getArray()
82  for i in range(nObservations1 + nObservations2):
83  row[i][featureIdx] *= row[i][featureIdx]
84  dataTable.releaseBlockOfRows(block)
85 
86  dataTable.getBlockOfRows(0, nObservations1 + nObservations2, readOnly, block)
87  printArray(block.getArray(), nFeatures, block.getNumberOfRows(), block.getNumberOfColumns(),
88  "Print rows from row merged numeric table as float:")
89  dataTable.releaseBlockOfRows(block)
90 
91  finalizedTable = convertToHomogen(dataTable)
92 
93  printNumericTable(finalizedTable, "Row merged table converted to homogen numeric table")

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