total time instead of perc

rowers/interactiveplots.py

@@ -184,66 +184,45 @@ def interactive_hr_piechart(df,rower,title):
     sumtimehr = df['deltat'].sum()
 
     qry = 'hr < {ut2}'.format(ut2=rower.ut2)
-    frac_lut2 = df.query(qry)['deltat'].sum()/sumtimehr
+    frac_lut2 = df.query(qry)['deltat'].sum()
 
-    qry = 'hr < {ut1}'.format(ut1=rower.ut1,ut2=rower.ut2)
-    frac_ut2 = df.query(qry)['deltat'].sum()/sumtimehr
+    qry = '{ut2} <= hr < {ut1}'.format(ut1=rower.ut1,ut2=rower.ut2)
+    frac_ut2 = df.query(qry)['deltat'].sum()
 
-    qry = 'hr < {at}'.format(ut1=rower.ut1,at=rower.at)
-    frac_ut1 = df.query(qry)['deltat'].sum()/sumtimehr
+    qry = '{ut2} <= hr < {at}'.format(ut2=rower.ut2,at=rower.at)
+    frac_ut1 = df.query(qry)['deltat'].sum()
 
-    qry = 'hr < {tr}'.format(at=rower.at,tr=rower.tr)
-    frac_at = df.query(qry)['deltat'].sum()/sumtimehr
+    qry = '{at} <= hr < {tr}'.format(at=rower.at,tr=rower.tr)
+    frac_at = df.query(qry)['deltat'].sum()
 
-    qry = 'hr < {an}'.format(tr=rower.tr,an=rower.an)
-    frac_tr = df.query(qry)['deltat'].sum()/sumtimehr
+    qry = '{tr} <= hr < {an}'.format(tr=rower.tr,an=rower.an)
+    frac_tr = df.query(qry)['deltat'].sum()
 
-    frac_an = 1.
+    qry = 'hr >= {an}'.format(an=rower.an)
+    frac_an = df.query(qry)['deltat'].sum()
 
-    source_starts = 2*pi*pd.Series([
-        0,
-        frac_lut2,
-        frac_ut2,
-        frac_ut1,
-        frac_at,
-        frac_tr,
-        ])
-
-    source_ends = 2*pi*pd.Series([
-        frac_lut2,
-        frac_ut2,
-        frac_ut1,
-        frac_at,
-        frac_tr,
-        frac_an,
-        ])
-
-    source_legends = [
-        '<ut2',
-        'ut2',
-        'ut1',
-        'at',
-        'tr',
-        'an',
-    ]
+    datadict = {
+        '<ut2':frac_lut2,
+        'ut2': frac_ut2,
+        'ut1': frac_ut1,
+        'at': frac_at,
+        'tr': frac_tr,
+        'an': frac_an,
+    }
 
     colors = ['gray','yellow','lime','blue','purple','red']
 
+    data = pd.Series(datadict).reset_index(name='value').rename(columns={'index':'zone'})
+    data['angle'] = data['value']/data['value'].sum() * 2*pi
+    data['color'] = colors
+    data['totaltime'] = pd.Series([pretty_timedelta(v/1000.) for v in data['value']])
 
     size=350
     TOOLS = 'save,hover'
 
-    percts = 100.*(source_ends-source_starts)/(2*pi)
-    data = {}
-    data['zone'] = source_legends
-    data['value'] = percts
-    data['angle'] = data['value']/data['value'].sum() * 2*pi
-    data['color'] = colors
-    data['percentage'] = pd.Series(['{x:4.1f}%'.format(x=x) for x in percts])
-
 
     z = figure(title="HR "+title, x_range=(-0.5,1), plot_height=350,
-               tools=TOOLS,toolbar_location=None,tooltips="@zone: @percentage",
+               tools=TOOLS,toolbar_location=None,tooltips="@zone: @totaltime",
           )
 
     z.wedge(x=0,y=1, radius=0.4,

rowers/views/analysisviews.py

@@ -4700,7 +4700,7 @@ def history_view(request,userid=0):
     tscript,tdiv = interactive_workouttype_piechart(g_workouts)
 
     totalmeters,totalhours, totalminutes, totalseconds = get_totals(g_workouts)
-    totalminutes = "{totalminutes:02d}".format(totalminutes=totalminutes)
+    
 
     # meters, duration per workout type
     wtypes = list(set([w.workouttype for w in g_workouts]))
@@ -4738,10 +4738,10 @@ def history_view(request,userid=0):
     totaldiv = get_call()
 
     totalsdict = {}
-    totalsdict['duration'] = "{totalhours}:{totalminutes}:{totalseconds}".format(
+    totalsdict['duration'] = "{totalhours:02d}:{totalminutes:02d}:{totalseconds:02d}".format(
         totalhours=totalhours,
         totalminutes=totalminutes,
-        totalseconds=totalseconds
+        totalseconds=totalseconds,
     )
 
     totalsdict['distance'] = totalmeters