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authorAlexander_Kabui2024-01-02 13:21:07 +0300
committerAlexander_Kabui2024-01-02 13:21:07 +0300
commit70c4201b332e0e2c0d958428086512f291469b87 (patch)
treeaea4fac8782c110fc233c589c3f0f7bd34bada6c /wqflask/utility/corestats.py
parent5092eb42f062b1695c4e39619f0bd74a876cfac2 (diff)
parent965ce5114d585624d5edb082c710b83d83a3be40 (diff)
downloadgenenetwork2-70c4201b332e0e2c0d958428086512f291469b87.tar.gz
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diff --git a/wqflask/utility/corestats.py b/wqflask/utility/corestats.py
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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)
-# -------------------------------------------