finalizing mvp of goldmedalscores chart

rowers/interactiveplots.py

@@ -1820,6 +1820,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
     )
 
     df = pd.DataFrame({
+        'id':outids,
         'date':dates,
         'testpower':testpower,
         'testduration':testduration,
@@ -1830,10 +1831,15 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
     df['testpower'] = df.apply(lambda x: newtestpower(x),axis=1)
     #df['date'] = df.apply(lambda x: newtestpowerdate(x), axis=1)
 
+
+
+
     mask = df['testpower'].isnull()
     dates = df.mask(mask)['date'].dropna().values
     testpower = df.mask(mask)['testpower'].dropna().values
 
+    outids = df.mask(mask)['id'].dropna().unique()
+
     # all workouts
     alldates,alltestpower,allduration = all_goldmedalstandards(workouts,startdate,enddate)
 
@@ -1937,7 +1943,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
                 size=10,
                 legend_label='Marker Workouts')
 
-    plot.legend.location = "top_left"
+    plot.legend.location = "bottom_left"
 
     plot.x_range = Range1d(
         startdate,enddate+datetime.timedelta(days=5),
@@ -1955,7 +1961,7 @@ def goldmedalscorechart(user,startdate=None,enddate=None):
 
     script, div = components(plot)
 
-    return script, div
+    return script, div,outids
 
 def performance_chart(user,startdate=None,enddate=None,kfitness=42,kfatigue=7,
                       metricchoice='trimp',doform=False,dofatigue=False,