diff --git a/rowers/interactiveplots.py b/rowers/interactiveplots.py
index d8d0c035..f279ae32 100644
--- a/rowers/interactiveplots.py
+++ b/rowers/interactiveplots.py
@@ -796,24 +796,38 @@ def interactive_activitychart2(workouts,startdate,enddate,stack='type',toolbar_l
 
     dim_expr = hv.dim('type').categorize(mytypes.color_map)
 
+
+
     df = pd.DataFrame(thedict)
 
+    if totaldays>30 and yaxis=='duration': # pragma: no cover
+        df['duration'] = df['duration']/60
+    elif yaxis == 'TRIMP':
+        df.drop('duration',inplace=True,axis='columns')
+        df.drop('rscore',inplace=True,axis='columns')
+    elif yaxis == 'rScore': # pragma: no cover
+        df.drop('duration',inplace=True,axis='columns')
+        df.drop('trimp',inplace=True,axis='columns' )
+
     df['color'] = df['type'].apply(lambda x:mapcolors(x))
 
     df.sort_values('date_sorting',inplace=True)
+
     #clrs = hv.Cycle(df['colors'].values)
     source = ColumnDataSource(df)
 
     hv.extension('bokeh')
 
 
-    table = hv.Table(df,[('date','Date'),('type','Workout Type')],
-                     [('duration','Minutes'),('trimp','TRIMP'),('rscore','rScore'),('link','link')])
-
-
-    bars=table.to.bars(['date',stack],[yaxis])
+    #table = hv.Table(df,[('date','Date'),('type','Workout Type')],
+    #                 [('duration','Minutes'),('trimp','TRIMP'),('rscore','rScore'),('link','link')])
+
+    types_order = mytypes.workouttypes_ordered
+    #bars=table.to.bars(['date',stack],[yaxis])
+    bars = hv.Bars(df, kdims=['date',stack]).aggregate(function=np.sum)
 
 
+    #print(mytypes.color_map)
     bars.opts(
         opts.Bars(cmap=mytypes.color_map, show_legend=True, stacked=True,
                 tools=['tap','hover'], width=550, xrotation=45,padding=(0,(0,.1)),
@@ -829,6 +843,18 @@ def interactive_activitychart2(workouts,startdate,enddate,stack='type',toolbar_l
                 d2 = enddate.strftime("%Y-%m-%d"),
                 )
 
+    p.xaxis.axis_label = 'Period'
+    if yaxis == 'duration':
+        p.yaxis.axis_label = 'Duration (min)'
+        if totaldays>30: # pragma: no cover
+            p.yaxis.axis_label = 'Duration (h)'
+    elif yaxis == 'TRIMP':
+        p.yaxis.axis_label = 'TRIMP'
+    else: # pragma: no cover
+        p.yaxis.axis_label = 'rScore'
+
+
+
     p.plot_width=550
     p.plot_height=350
     p.toolbar_location = toolbar_location
diff --git a/rowers/mytypes.py b/rowers/mytypes.py
index 881cd311..50ec4541 100644
--- a/rowers/mytypes.py
+++ b/rowers/mytypes.py
@@ -319,7 +319,7 @@ rowtypes = (
     )
 
 
-checktypes = [i[0] for i in workouttypes]
+checktypes = [i[0] for i in workouttypes_ordered.items()]
 
 from bokeh.palettes import Category10,Category20, Category20c
 
diff --git a/rowers/tasks.py b/rowers/tasks.py
index 427ce4b9..c1e2c228 100644
--- a/rowers/tasks.py
+++ b/rowers/tasks.py
@@ -3045,7 +3045,7 @@ def df_from_summary(data):
 
     try:
         splits = data['workout']['splits']
-    except KeyError:
+    except KeyError: # pragma: no cover
         splits = [0]
     time = starttimeunix
     elapsed_distance = 0
@@ -3053,7 +3053,7 @@ def df_from_summary(data):
     distances = [0]
     try:
         spms = [splits[0]['stroke_rate']]
-    except KeyError:
+    except KeyError: # pragma: no cover
         spms = [0]
     try:
         hrs = [splits[0]['heart_rate']['average']]