Remove useless color array

measure-analysis/measure-analysis.py

@@ -134,9 +134,6 @@ class MeasureSetHandler:
 
     def generate_graphs(self, metadata_masks):
 
-        # List of colors to use to superimpose the different plots
-        colors = ['red', 'blue', 'green', 'purple', 'yellow']
-
         # For each type of measure set
         for mtype in self.measure_sets:
 
@@ -169,9 +166,9 @@ class MeasureSetHandler:
                     metadata_infos.append(", ".join(metadata_info))
 
                     if props_type == 'histogram':
-                        subplots.append(measure.generate_histogram(i, colors[j], metadata_info))
+                        subplots.append(measure.generate_histogram(i, metadata_info))
                     else:
-                        subplots.append(measure.generate_chrono_graph(i, colors[j], metadata_info))
+                        subplots.append(measure.generate_chrono_graph(i, metadata_info))
 
                 fig, ax = plt.gcf(), plt.gca()
 
@@ -501,7 +498,7 @@ class MeasureSet:
 
             self.add_chronological(props_names, props)
 
-    def generate_histogram(self, i, color, name):
+    def generate_histogram(self, i, name):
 
         bins = [i for i in range(self.min[i], self.max[i] + 1)]
         vals = self.props[i][self.min[i] + self.middle : self.max[i] + self.middle + 1]
@@ -513,10 +510,10 @@ class MeasureSet:
 
         return plt.bar(bins, vals, alpha=0.4)
 
-    def generate_chrono_graph(self, i, color, name):
+    def generate_chrono_graph(self, i, name):
         prop = self.props[i]
         x = [i for i in range(len(prop))]
-        return plt.plot(x, prop, color=color)
+        return plt.plot(x, prop)
 
     def generate_table(self, headers=True, values=True, metadata_mask=[], props_lens=[]):