Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

basic_statistics.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.

Note: To find daal4py examples, refer to daal4py documentation or browse github repository.

1 # file: basic_statistics.py
2 #===============================================================================
3 # Copyright 2014-2019 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 example for using of basic statistics
19 # !*****************************************************************************
20 
21 #
22 ## <a name = "DAAL-EXAMPLE-PY-BASIC_STATISTICS"></a>
23 ## \example basic_statistics.py
24 #
25 
26 import os
27 import sys
28 import numpy as np
29 
30 from daal.data_management import HomogenNumericTable, NumericTableIface, FileDataSource, DataSourceIface
31 
32 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
33 if utils_folder not in sys.path:
34  sys.path.insert(0, utils_folder)
35 from utils import printNumericTable
36 
37 
38 if __name__ == "__main__":
39 
40  print("Basic statistics example\n")
41 
42  # Input data set parameters
43  datasetFileName = "../data/batch/basic_statistics.csv"
44  data = np.array([(7.0, 3.0, 6.0, 2.0),
45  (1.0, 3.0, 0.0, 2.0),
46  (9.0, 2.0, 6.0, 2.0),
47  (3.0, 4.0, 7.0, 2.0),])
48 
49  # Initialize FileDataSource to retrieve the input data from a .csv file
50  dataSource = FileDataSource(datasetFileName, DataSourceIface.doAllocateNumericTable)
51 
52  dataSource.createDictionaryFromContext()
53  dataSource.loadDataBlock()
54  table = dataSource.getNumericTable()
55 
56  # Get basic statistics from the table. They were calculated inside DataSource for each column.
57  min = table.basicStatistics.get(NumericTableIface.minimum)
58  max = table.basicStatistics.get(NumericTableIface.maximum)
59  sum = table.basicStatistics.get(NumericTableIface.sum)
60  sumSquares = table.basicStatistics.get(NumericTableIface.sumSquares)
61 
62  # Print calculated basic statistics
63  printNumericTable(table, "Basic statistics of table:")
64  printNumericTable(min, "Minimum:")
65  printNumericTable(max, "Maximum:")
66  printNumericTable(sum, "Sum:")
67  printNumericTable(sumSquares, "SumSquares:")
68 
69  # Create NumericTable with the same data. But in this case basic statistics are not calculated.
70  dataTable = HomogenNumericTable(data)
71 
72  # Set basic statistics in the new NumericTable
73  dataTable.basicStatistics.set(NumericTableIface.minimum, min);
74  dataTable.basicStatistics.set(NumericTableIface.maximum, max);
75  dataTable.basicStatistics.set(NumericTableIface.sum, sum);
76  dataTable.basicStatistics.set(NumericTableIface.sumSquares, sumSquares);
77 
78  # Print basic statistics those were set
79  printNumericTable(dataTable, "New table:")
80  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.minimum), "Minimum:")
81  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.maximum), "Maximum:")
82  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.sum), "Sum:")
83  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.sumSquares), "SumSquares:")

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