diff --git a/rowers/interactiveplots.py b/rowers/interactiveplots.py
index c08ef90d..316f7fe5 100644
--- a/rowers/interactiveplots.py
+++ b/rowers/interactiveplots.py
@@ -94,6 +94,7 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
     xvalues = source.data[x]
     yvalues = source.data[y]
 
+    
     xerrvalues = source.data['xerror']
     yerrvalues = source.data['yerror']
     try:
@@ -2362,10 +2363,13 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
     if yparam == 'pace':
         y_axis_type = 'datetime'
 
+    datadf.index.names = ['index']
+
     source = ColumnDataSource(
         datadf,
         )
 
+
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,resize'
 
     if groupby != 'date':
diff --git a/rowers/views.py b/rowers/views.py
index 790209f4..4dd98d9b 100644
--- a/rowers/views.py
+++ b/rowers/views.py
@@ -5979,6 +5979,7 @@ def multiflex_data(request,userid=0,
     if userid==0:
         userid = request.user.id
 
+        
     palette = options['palette']
     groupby = options['groupby']
     binsize = options['binsize']
@@ -6010,6 +6011,9 @@ def multiflex_data(request,userid=0,
     # prepare data frame
     datadf,extracols = dataprep.read_cols_df_sql(ids,fieldlist)
 
+    if xparam == groupby:
+        datadf['groupby'] = datadf[xparam]
+        groupy = 'groupby'
 
     datadf = dataprep.clean_df_stats(datadf,workstrokesonly=workstrokesonly)
 
@@ -6060,14 +6064,18 @@ def multiflex_data(request,userid=0,
                                            labels=False))
             
 
-    xvalues = groups.mean()[xparam]
+    xvalues = groups.mean()[xparam]    
     yvalues = groups.mean()[yparam]
     xerror = groups.std()[xparam]
     yerror = groups.std()[yparam]
     groupsize = groups.count()[xparam]
 
+    print groupsize.sum(),groupsize.mean()
+
     mask = groupsize <= min([0.01*groupsize.sum(),0.2*groupsize.mean()])
+    print '--------------------------'
     xvalues.loc[mask] = np.nan
+
     yvalues.loc[mask] = np.nan
     xerror.loc[mask] = np.nan
     yerror.loc[mask] = np.nan
@@ -6079,7 +6087,6 @@ def multiflex_data(request,userid=0,
     yerror.dropna(inplace=True)
     groupsize.dropna(inplace=True)
 
-    
     if len(groupsize) == 0:
         messages.error(request,'No data in selection')
         url = reverse(user_multiflex_select)
@@ -6097,6 +6104,7 @@ def multiflex_data(request,userid=0,
         'groupsize':groupsize,
     })
 
+
     if yparam == 'pace':
         df['y'] = dataprep.paceformatsecs(df['y']/1.0e3)
     
@@ -6128,8 +6136,9 @@ def multiflex_data(request,userid=0,
             df['groupval'] = groups.mean()['days ago'].fillna(value=0)
             groupcols = 100.*np.arange(aantal)/float(aantal)
                     
-
+            
     groupcols = (groupcols-groupcols.min())/(groupcols.max()-groupcols.min())
+
     if aantal == 1:
         groupcols = np.array([1.])