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#!/usr/bin/env python
# corestats.py (COREy STATS)
# Copyright (c) 2006-2007, Corey Goldberg (corey@goldb.org)
#
# statistical calculation class
# for processing numeric sequences
#
# license: GNU LGPL
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
import sys
# ZS: Should switch to using some third party library for this; maybe scipy has an equivalent
class Stats:
def __init__(self, sequence):
# sequence of numbers we will process
# convert all items to floats for numerical processing
self.sequence = [float(item) for item in sequence]
def sum(self):
if len(self.sequence) < 1:
return None
else:
return sum(self.sequence)
def count(self):
return len(self.sequence)
def min(self):
if len(self.sequence) < 1:
return None
else:
return min(self.sequence)
def max(self):
if len(self.sequence) < 1:
return None
else:
return max(self.sequence)
def avg(self):
if len(self.sequence) < 1:
return None
else:
return sum(self.sequence) / len(self.sequence)
def stdev(self):
if len(self.sequence) < 1:
return None
else:
avg = self.avg()
sdsq = sum([(i - avg) ** 2 for i in self.sequence])
stdev = (sdsq / (len(self.sequence) - 1)) ** .5
return stdev
def percentile(self, percentile):
if len(self.sequence) < 1:
value = None
elif (percentile >= 100):
sys.stderr.write('ERROR: percentile must be < 100. you supplied: %s\n' % percentile)
value = None
else:
element_idx = int(len(self.sequence) * (percentile / 100.0))
self.sequence.sort()
value = self.sequence[element_idx]
return value
# Sample script using this class:
# -------------------------------------------
# #!/usr/bin/env python
# import corestats
#
# sequence = [1, 2.5, 7, 13.4, 8.0]
# stats = corestats.Stats(sequence)
# print stats.avg()
# print stats.percentile(90)
# -------------------------------------------
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