Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

basic_statistics.py

1 # file: basic_statistics.py
2 #===============================================================================
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40 #===============================================================================
41 
42 #
43 # ! Content:
44 # ! Python example for using of basic statistics
45 # !*****************************************************************************
46 
47 #
48 
49 
50 #
51 
52 import os
53 import sys
54 import numpy as np
55 
56 from daal.data_management import HomogenNumericTable, NumericTableIface, FileDataSource, DataSourceIface
57 
58 utils_folder = os.path.realpath(os.path.abspath(os.path.dirname(os.path.dirname(__file__))))
59 if utils_folder not in sys.path:
60  sys.path.insert(0, utils_folder)
61 from utils import printNumericTable
62 
63 
64 if __name__ == "__main__":
65 
66  print("Basic statistics example\n")
67 
68  # Input data set parameters
69  datasetFileName = "../data/batch/basic_statistics.csv"
70  data = np.array([(7.0, 3.0, 6.0, 2.0),
71  (1.0, 3.0, 0.0, 2.0),
72  (9.0, 2.0, 6.0, 2.0),
73  (3.0, 4.0, 7.0, 2.0),])
74 
75  # Initialize FileDataSource to retrieve the input data from a .csv file
76  dataSource = FileDataSource(datasetFileName, DataSourceIface.doAllocateNumericTable)
77 
78  dataSource.createDictionaryFromContext()
79  dataSource.loadDataBlock()
80  table = dataSource.getNumericTable()
81 
82  # Get basic statistics from the table. They were calculated inside DataSource for each column.
83  min = table.basicStatistics.get(NumericTableIface.minimum)
84  max = table.basicStatistics.get(NumericTableIface.maximum)
85  sum = table.basicStatistics.get(NumericTableIface.sum)
86  sumSquares = table.basicStatistics.get(NumericTableIface.sumSquares)
87 
88  # Print calculated basic statistics
89  printNumericTable(table, "Basic statistics of table:")
90  printNumericTable(min, "Minimum:")
91  printNumericTable(max, "Maximum:")
92  printNumericTable(sum, "Sum:")
93  printNumericTable(sumSquares, "SumSquares:")
94 
95  # Create NumericTable with the same data. But in this case basic statistics are not calculated.
96  dataTable = HomogenNumericTable(data)
97 
98  # Set basic statistics in the new NumericTable
99  dataTable.basicStatistics.set(NumericTableIface.minimum, min);
100  dataTable.basicStatistics.set(NumericTableIface.maximum, max);
101  dataTable.basicStatistics.set(NumericTableIface.sum, sum);
102  dataTable.basicStatistics.set(NumericTableIface.sumSquares, sumSquares);
103 
104  # Print basic statistics those were set
105  printNumericTable(dataTable, "New table:")
106  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.minimum), "Minimum:")
107  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.maximum), "Maximum:")
108  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.sum), "Sum:")
109  printNumericTable(dataTable.basicStatistics.get(NumericTableIface.sumSquares), "SumSquares:")

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