remove trailing spaces

pymath/stat/__init__.py

@@ -7,4 +7,4 @@ from .weightedDataset import WeightedDataset
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del 
+# cursor: 16 del

pymath/stat/dataset.py

@@ -15,7 +15,7 @@ from .random_generator import random_generator
 
 class Dataset(list):
     """ A dataset (a list) with statistics and latex rendering methods
-    
+
     >>> s = Dataset(range(100))
     >>> s.sum()
     4950
@@ -52,11 +52,11 @@ class Dataset(list):
             exact_mean)
 
         return cls(data, data_name = data_name)
-    
+
     def __init__(self, data = [], data_name = "Valeurs"):
-        """ 
+        """
         Create a numeric data set
-        
+
         :param data: values of the data set
         :param data_name: name of the data set
         """
@@ -83,10 +83,10 @@ class Dataset(list):
     @number_factory
     def sum(self):
         return sum(self)
-    
+
     @number_factory
     def mean(self):
-        return self.sum()/self.effectif_total() 
+        return self.sum()/self.effectif_total()
 
     @number_factory
     def deviation(self):
@@ -97,7 +97,7 @@ class Dataset(list):
     @number_factory
     def variance(self):
         return self.deviation()/self.effectif_total()
-    
+
     @number_factory
     def sd(self):
         """ Compute the standard deviation """
@@ -150,18 +150,18 @@ class Dataset(list):
             return self[ceil(position)]
 
     def posi_quartile(self, quartile = 1):
-        """ 
+        """
         Calcul la position du quartile
 
         :param quartile: le quartile concerné
-        
+
         :return : la position du quartile (arondis à l'entier suppérieur, non arrondis)
         """
         return quartile * self.effectif_total() / 4
-    
+
     # --------------------------
     # Rendu latex
-    
+
     def tabular_latex(self, nbr_lines = 1):
         """ Latex code to display dataset as a tabular """
         d_per_line = self.effectif_total() // nbr_lines
@@ -188,5 +188,5 @@ class Dataset(list):
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del 
+# cursor: 16 del
 

pymath/stat/number_tools.py

@@ -23,5 +23,5 @@ def number_factory(fun):
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del 
+# cursor: 16 del
 

pymath/stat/random_generator.py

@@ -70,5 +70,5 @@ def random_generator(length,\
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del 
+# cursor: 16 del
 

pymath/stat/weightedDataset.py

@@ -16,7 +16,7 @@ from .number_tools import number_factory
 
 class WeightedDataset(dict):
     """ A weighted dataset with statistics and latex rendering methods
-    
+
     >>> w = WeightedDataset([1, 2, 3, 4], "Enfants", [10, 11, 12, 13])
     >>> print(w)
     {1: 10, 2: 11, 3: 12, 4: 13}
@@ -32,12 +32,12 @@ class WeightedDataset(dict):
     1.24
     >>> w.sd()
     1.11
-    
+
     """
-    
+
     def __init__(self, datas = [], data_name = "Valeurs", weights = [], weight_name = "Effectifs"):
-        """ 
-        Initiate the WeightedDataset 
+        """
+        Initiate the WeightedDataset
         """
         if datas and not weights:
             weightedDatas = Counter(datas)
@@ -51,7 +51,7 @@ class WeightedDataset(dict):
 
         self.data_name = data_name
         self.weight_name = weight_name
-    
+
     def add_data(self, data, weight = 1):
         try:
             self[data] += weight
@@ -72,7 +72,7 @@ class WeightedDataset(dict):
 
     @number_factory
     def mean(self):
-        return self.sum()/self.effectif_total() 
+        return self.sum()/self.effectif_total()
 
     @number_factory
     def deviation(self):
@@ -83,7 +83,7 @@ class WeightedDataset(dict):
     @number_factory
     def variance(self):
         return self.deviation()/self.effectif_total()
-    
+
     @number_factory
     def sd(self):
         """ Compute the standard deviation """
@@ -141,19 +141,19 @@ class WeightedDataset(dict):
             return expanded_values[ceil(position)]
 
     def posi_quartile(self, quartile = 1):
-        """ 
+        """
         Calcul la position du quartile
 
         :param quartile: le quartile concerné
-        
+
         :return : la position du quartile (arondis à l'entier suppérieur, non arrondis)
         """
         return quartile * self.effectif_total() / 4
-    
-    
+
+
     # --------------------------
     # Rendu latex
-    
+
     def tabular_latex(self):
         """ Latex code to display dataset as a tabular """
         latex = "\\begin{{tabular}}{{|c|*{{{nbr_col}}}{{c|}}}} \n".format(nbr_col = len(self.keys()))
@@ -176,5 +176,5 @@ class WeightedDataset(dict):
 # -----------------------------
 # Reglages pour 'vim'
 # vim:set autoindent expandtab tabstop=4 shiftwidth=4:
-# cursor: 16 del 
+# cursor: 16 del