# HG changeset patch
# User Nicolas Saunier <nicolas.saunier@polymtl.ca>
# Date 1432677322 -7200
# Node ID ab3fdff42624be02af23ef015e20deff5acf6fa7
# Parent  01b89182891aecf3df24e055471ddc4aaa0dafb7
corrected old format for Point.__str__

diff -r 01b89182891a -r ab3fdff42624 python/moving.py
--- a/python/moving.py	Tue May 26 18:16:51 2015 +0200
+++ b/python/moving.py	Tue May 26 23:55:22 2015 +0200
@@ -168,7 +168,7 @@
         self.y = y
 
     def __str__(self):
-        return '(%f,%f)'%(self.x,self.y)
+        return '({:f},{:f})'.format(self.x,self.y)
 
     def __repr__(self):
         return self.__str__()
diff -r 01b89182891a -r ab3fdff42624 python/utils.py
--- a/python/utils.py	Tue May 26 18:16:51 2015 +0200
+++ b/python/utils.py	Tue May 26 23:55:22 2015 +0200
@@ -321,7 +321,7 @@
 def frenchify(s, displayNames):
     return s
 
-def kruskalWallis(data, dependentVariable, independentVariable, plotFigure = False, filenamePrefix = None, figureFileType = 'pdf', saveLatex = False):
+def kruskalWallis(data, dependentVariable, independentVariable, plotFigure = False, filenamePrefix = None, figureFileType = 'pdf', saveLatex = False, displayNames = {}):
     '''Studies the influence of (nominal) independent variable over the dependent variable
 
     Makes tests if the conditional distributions are normal
@@ -348,9 +348,10 @@
                 plt.savefig(filenamePrefix+'-{}-{}.{}'.format(dependentVariable, independentVariable, figureFileType))
         table = tmp.groupby([independentVariable])[dependentVariable].describe().unstack().sort(['50%'], ascending = False)
         if saveLatex:
-            out.write('\begin{table}[htp!]')
+            out.write('\\begin{table}[htp!]\n')
             out.write(frenchify(table.to_latex(), displayNames))
-            out.write('\end{table}[htp!]')
+            out.write('\caption{Test}\n'
+                      +'\end{table}[htp!]')
         else:
             print table
         return kruskal(*[tmp.loc[tmp[independentVariable] == x, dependentVariable] for x in independentVariableValues])