diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index 3e8687cf..93d26206 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -1180,13 +1180,13 @@ def getsmallrowdata_db(columns,ids=[],doclean=True,workstrokesonly=True):
     # convert newtons
     
     if 'peakforce' in columns:
-        funits = ((w.id,w.forceunit) for Workout.objects.filter(id__in=ids))
+        funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
         for id,u in funits:
             if u=='lbs':
                 mask = data['workoutid']==id
                 data.loc[mask,'peakforce'] = data.loc[mask,'peakforce']*lbstoN
     if 'averageforce' in columns:
-        funits = ((w.id,w.forceunit) for Workout.objects.filter(id__in=ids))
+        funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
         for id,u in funits:
             if u=='lbs':
                 mask = data['workoutid']==id
@@ -1294,13 +1294,13 @@ def read_cols_df_sql(ids,columns,convertnewtons=True):
     df = df.fillna(value=0)
 
     if 'peakforce' in columns:
-        funits = ((w.id,w.forceunit) for Workout.objects.filter(id__in=ids))
+        funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
         for id,u in funits:
             if u=='lbs':
                 mask = data['workoutid']==id
                 df.loc[mask,'peakforce'] = data.loc[mask,'peakforce']*lbstoN
     if 'averageforce' in columns:
-        funits = ((w.id,w.forceunit) for Workout.objects.filter(id__in=ids))
+        funits = ((w.id,w.forceunit) for w in Workout.objects.filter(id__in=ids))
         for id,u in funits:
             if u=='lbs':
                 mask = data['workoutid']==id