X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Futils.py;h=8f5630083b0991965935fee974dc4cfe32fbd25f;hb=82094363f6077e1b28845719db3a6191c0c93a99;hp=3fdec857740e5a6f70c8f09810b70f695584b041;hpb=c7cd008e11e76e22b8cebf5397b2b149251cbb4c;p=csit.git diff --git a/resources/tools/presentation/utils.py b/resources/tools/presentation/utils.py index 3fdec85774..8f5630083b 100644 --- a/resources/tools/presentation/utils.py +++ b/resources/tools/presentation/utils.py @@ -16,6 +16,7 @@ import multiprocessing import subprocess +import math import numpy as np import logging import csv @@ -24,8 +25,8 @@ import prettytable from os import walk, makedirs, environ from os.path import join, isdir from shutil import move, Error -from math import sqrt from datetime import datetime +from pandas import Series from errors import PresentationError from jumpavg.BitCountingClassifier import BitCountingClassifier @@ -51,11 +52,7 @@ def stdev(items): :returns: Stdev. :rtype: float """ - - avg = mean(items) - variance = [(x - avg) ** 2 for x in items] - stddev = sqrt(mean(variance)) - return stddev + return Series.std(Series(items)) def relative_change(nr1, nr2): @@ -72,6 +69,32 @@ def relative_change(nr1, nr2): return float(((nr2 - nr1) / nr1) * 100) +def relative_change_stdev(mean1, mean2, std1, std2): + """Compute relative standard deviation of change of two values. + + The "1" values are the base for comparison. + Results are returned as percentage (and percentual points for stdev). + Linearized theory is used, so results are wrong for relatively large stdev. + + :param mean1: Mean of the first number. + :param mean2: Mean of the second number. + :param std1: Standard deviation estimate of the first number. + :param std2: Standard deviation estimate of the second number. + :type mean1: float + :type mean2: float + :type std1: float + :type std2: float + :returns: Relative change and its stdev. + :rtype: float + """ + mean1, mean2 = float(mean1), float(mean2) + quotient = mean2 / mean1 + first = std1 / mean1 + second = std2 / mean2 + std = quotient * math.sqrt(first * first + second * second) + return (quotient - 1) * 100, std * 100 + + def get_files(path, extension=None, full_path=True): """Generates the list of files to process.