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authoracenteno2020-04-21 17:35:34 -0500
committerGitHub2020-04-21 17:35:34 -0500
commit660589b9c2a507529e8e51ca6ce66ca97ad982c5 (patch)
tree27f63957278581bc2fce2b88744bfe20c8a81558 /wqflask/basicStatistics/corestats.py
parentd97fdc18359233f07c1a1c7b83fe7e88eb225043 (diff)
parentf2a3ae13231a7d270a5bb6911c248aa713f1ef91 (diff)
downloadgenenetwork2-660589b9c2a507529e8e51ca6ce66ca97ad982c5.tar.gz
Merge pull request #1 from genenetwork/testing
Updating my testing branch
Diffstat (limited to 'wqflask/basicStatistics/corestats.py')
-rw-r--r--wqflask/basicStatistics/corestats.py103
1 files changed, 0 insertions, 103 deletions
diff --git a/wqflask/basicStatistics/corestats.py b/wqflask/basicStatistics/corestats.py
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--- a/wqflask/basicStatistics/corestats.py
+++ /dev/null
@@ -1,103 +0,0 @@
-#!/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
-
-
-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 median(self):
- if len(self.sequence) < 1:
- return None
- else:
- self.sequence.sort()
- return self.sequence[len(self.sequence) // 2]
-
-
- 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)
-# -------------------------------------------