Merge pull request #168 from genenetwork/staging

Staging

1 files changed, 32 insertions, 32 deletions

diff --git a/wqflask/basicStatistics/corestats.py b/wqflask/basicStatistics/corestats.py
index 4f2d122f..eba84c52 100755
--- a/wqflask/basicStatistics/corestats.py
+++ b/wqflask/basicStatistics/corestats.py
@@ -1,8 +1,8 @@
 #!/usr/bin/env python
 
-#  corestats.py (COREy STATS) 
+#  corestats.py (COREy STATS)
 #  Copyright (c) 2006-2007, Corey Goldberg (corey@goldb.org)
-#    
+#
 #    statistical calculation class
 #    for processing numeric sequences
 #
@@ -19,65 +19,65 @@ import sys
 
 
 class Stats:
-        
+
     def __init__(self, sequence):
         # sequence of numbers we will process
-        # convert all items to floats for numerical processing        
+        # convert all items to floats for numerical processing
         self.sequence = [float(item) for item in sequence]
 
-    
+
     def sum(self):
-        if len(self.sequence) < 1: 
+        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: 
+        if len(self.sequence) < 1:
             return None
         else:
             return min(self.sequence)
-    
-    
+
+
     def max(self):
-        if len(self.sequence) < 1: 
+        if len(self.sequence) < 1:
             return None
         else:
             return max(self.sequence)
-    
+
 
     def avg(self):
-        if len(self.sequence) < 1: 
+        if len(self.sequence) < 1:
             return None
-        else: 
-            return sum(self.sequence) / len(self.sequence)    
-    
-    
+        else:
+            return sum(self.sequence) / len(self.sequence)
+
+
     def median(self):
-        if len(self.sequence) < 1: 
+        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: 
+        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: 
+        if len(self.sequence) < 1:
             value = None
         elif (percentile >= 100):
             sys.stderr.write('ERROR: percentile must be < 100.  you supplied: %s\n'% percentile)
@@ -87,17 +87,17 @@ class Stats:
             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)
-# -------------------------------------------  
+# -------------------------------------------