expand docstrings

camoco/COB.py

@@ -1993,6 +1993,8 @@ def coordinates(self,iterations=50,force=False,max_edges=100000):
 
 
     def cluster_ellipse(self, cluster_number, nstd=2):
+        # Solution inspired by: 
+        # https://stackoverflow.com/questions/12301071/multidimensional-confidence-intervals
         # Get the coordinates of the MCL cluster
         coor = self.coordinates()
         points = coor.loc[self.clusters.iloc[self.clusters.cluster.values == cluster_number].index.values]

camoco/cli/commands/health.py

@@ -108,9 +108,9 @@ def cob_health(args):
     log('Plotting Degree Distribution ---------------------------------------')
     if not path.exists('{}_DegreeDist.png'.format(args.out)):
         degree = cob.degree['Degree'].values
-        #Using powerlaw makes run-time warning the first time you use it.
-        #This is still an open issue on the creators github.
-        #The creator recommends removing this warning as long as there is a fit.
+        # Using powerlaw makes run-time warning the first time you use it.
+        # This is still an open issue on the creators github.
+        # The creator recommends removing this warning as long as there is a fit.
         np.seterr(divide='ignore', invalid='ignore')
         fit = powerlaw.Fit(degree,discrete=True,xmin=1)
         # get an axis