plot title in trend flex

rowers/.#interactiveplots.py

@@ -1 +0,0 @@
-E408191@CZ27LT9RCGN72.21108:1499200053

rowers/forms.py

@@ -324,6 +324,7 @@ groupchoices = list(sorted(grouplabels.items(), key = lambda x:x[1]))
 formaxlabelsmultiflex = formaxlabels.copy()
 formaxlabelsmultiflex.pop('time')
 formaxlabelsmultiflex.pop('distance')
+formaxlabelsmultiflex['workoutid'] = 'Workout'
 parchoicesmultiflex = list(sorted(formaxlabelsmultiflex.items(), key = lambda x:x[1]))
 
 

rowers/interactiveplots.py

@@ -1164,14 +1164,34 @@ def interactive_chart(id=0,promember=0):
     return [script,div]
 
 def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
-                          ploterrorbars=False):
+                          ploterrorbars=False,
+                          title=None):
 
     if datadf.empty:
         return ['','<p>No non-zero data in selection</p>']
 
+    if xparam == 'workoutid':
+        xparamname = 'Workout'
+    else:
+        xparamname = axlabels[xparam]
 
-    xparamname = axlabels[xparam]
-    yparamname = axlabels[yparam]
+    if yparam == 'workoutid':
+        yparamname = 'Workout'
+    else:
+        yparamname = axlabels[yparam]
+        
+    if groupby == 'workoutid':
+        groupname = 'Workout'
+    else:
+        groupname = axlabels[groupby]
+        
+
+    if title==None:
+        title = '{y} vs {x} grouped by {gr}'.format(
+            x = xparamname,
+            y = yparamname,
+            gr = groupname,
+            )
 
 
     if xparam=='distance':
@@ -1181,10 +1201,27 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
         tseconds = datadf.ix[:,'time']
         xaxmax = tseconds.max()
         xaxmin = 0
+    elif xparam == 'workoutid':
+        xaxmax = datadf[xparam].max()-5
+        xaxmin = datadf[xparam].min()+5
     else:
 	xaxmax = yaxmaxima[xparam]
 	xaxmin = yaxminima[xparam]
 
+    if yparam=='distance':
+	yaxmax = datadf[yparam].max()
+	yaxmin = datadf[yparam].min()
+    elif yparam=='time':
+        tseconds = datadf.ix[:,'time']
+        yaxmax = tseconds.max()
+        yaxmin = 0
+    elif yparam == 'workoutid':
+        yaxmax = datadf[yparam].max()-5
+        yaxmin = datadf[yparam].min()+5
+    else:
+	yaxmax = yaxmaxima[yparam]
+	yaxmin = yaxminima[yparam]
+
     x_axis_type = 'linear'
     y_axis_type = 'linear'
     if xparam == 'time':
@@ -1207,6 +1244,9 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
     plot.extra_y_ranges = {"watermark": watermarkrange}
     plot.extra_x_ranges = {"watermark": watermarkrange}
 
+    plot.title.text = title
+    plot.title.text_font_size=value("1.0em")
+
     plot.image_url([watermarkurl],watermarkx,watermarky,
                    watermarkw,watermarkh,
                    global_alpha=watermarkalpha,
@@ -1227,14 +1267,21 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
                      'size':10,
                      })
 
-    plot.xaxis.axis_label = axlabels[xparam]
-    plot.yaxis.axis_label = axlabels[yparam]
+    if xparam == 'workoutid':
+        plot.xaxis.axis_label = 'Workout'
+    else:
+        plot.xaxis.axis_label = axlabels[xparam]
+
+    if yparam == 'workoutid':
+        plot.xaxis.axis_label = 'Workout'
+    else:
+        plot.yaxis.axis_label = axlabels[yparam]
 
 
-    yrange1 = Range1d(start=yaxminima[yparam],end=yaxmaxima[yparam])
+    yrange1 = Range1d(start=yaxmin,end=yaxmax)
     plot.y_range = yrange1
 
-    xrange1 = Range1d(start=yaxminima[xparam],end=yaxmaxima[xparam])
+    xrange1 = Range1d(start=xaxmin,end=xaxmax)
     plot.x_range = xrange1
 
     if yparam == 'pace':
@@ -1245,6 +1292,8 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
 
     hover = plot.select(dict(type=HoverTool))
 
+    
+    
     if groupby != 'date':
         hover.tooltips = OrderedDict([
 	    (groupby,'@groupval{1.1}'),