colorful multiflex

rowers/forms.py

@@ -330,12 +330,12 @@ parchoicesmultiflex = list(sorted(formaxlabelsmultiflex.items(), key = lambda x:
 
 class MultiFlexChoiceForm(forms.Form):
     xparam = forms.ChoiceField(choices=parchoicesmultiflex,
-                               initial='spm',
+                               initial='hr',
                                label='X axis')
     yparam = forms.ChoiceField(choices=parchoicesmultiflex,
-                               initial='power',
+                               initial='pace',
                                label='Y axis')
-    groupby = forms.ChoiceField(choices=groupchoices,initial='date',
+    groupby = forms.ChoiceField(choices=groupchoices,initial='spm',
                                 label='Group By')
     binsize = forms.FloatField(initial=1,required=False,label = 'Bin Size')
     spmmin = forms.FloatField(initial=15,

rowers/interactiveplots.py

@@ -81,17 +81,24 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
 
     xerrvalues = source.data['xerror']
     yerrvalues = source.data['yerror']
-    
-    
+    try:
+        colorvalues = source.data['color']
+    except KeyError:
+        colorvalues = ["#%02x%02x%02x" % (255,0,0) for x in xvalues]
+
+        
     try:
         a = xvalues[0]+1
         if xerr:
             x_err_x = []
             x_err_y = []
-            for px, py, err in zip(xvalues, yvalues, xerrvalues):
+            err_color = []
+            for px, py, err, color in zip(xvalues, yvalues, xerrvalues, colorvalues):
                 x_err_x.append((px - err, px + err))
                 x_err_y.append((py, py))
-            fig.multi_line(x_err_x, x_err_y, color=color,
+                err_color.append(color)
+
+            fig.multi_line(x_err_x, x_err_y, color=err_color,
                            name='xerr',
                            **error_kwargs)
     except TypeError:
@@ -102,10 +109,13 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
         if yerr:
             y_err_x = []
             y_err_y = []
-            for px, py, err in zip(xvalues, yvalues, yerrvalues):
+            err_color = []
+            for px, py, err, color in zip(xvalues, yvalues, yerrvalues, colorvalues):
                 y_err_x.append((px, px))
                 y_err_y.append((py - err, py + err))
-            fig.multi_line(y_err_x, y_err_y, color=color,
+                err_color.append(color)
+                
+            fig.multi_line(y_err_x, y_err_y, color=err_color,
                            name='yerr',**error_kwargs)
     except TypeError:
         pass
@@ -1279,13 +1289,15 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
                    )
 
     errorbar(plot,xparam,yparam,source=source,
-                 xerr=ploterrorbars,
-                 yerr=ploterrorbars,
-                 point_kwargs={
-                     'line_color':None,
-                     'legend':yparamname,
-                     'size':"groupsize",
-                     })
+             xerr=ploterrorbars,
+             yerr=ploterrorbars,
+             point_kwargs={
+                 'line_color':None,
+                 'legend':yparamname,
+                 'size':"groupsize",
+                 'fill_color':"color",
+             },
+    )
 
     if xparam == 'workoutid':
         plot.xaxis.axis_label = 'Workout'

rowers/views.py

@@ -1,4 +1,5 @@
 import time
+import colorsys
 import timestring
 import zipfile
 import bleach
@@ -3571,7 +3572,8 @@ def multiflex_view(request,userid=0,
         
     #groupsize = 15.*np.log10(1+99.*groupsize/float(max(groupsize)))
     groupsize = 30.*np.sqrt(groupsize/float(max(groupsize)))
-                
+
+    
     df = pd.DataFrame({
         xparam:xvalues,
         yparam:yvalues,
@@ -3579,18 +3581,35 @@ def multiflex_view(request,userid=0,
         'yerror':yerror,
         'groupsize':groupsize,
     })
+
+    aantal = len(df)
     
     if groupby != 'date':
         try:
             df['groupval'] = groups.mean()[groupby],
+            groupcols = df['groupval']
         except ValueError:
             df['groupval'] =  groups.mean()[groupby].fillna(value=0)
+            groupcols = df['groupval']
     else:
         try:
             df['groupval'] = [x.strftime("%Y-%m-%d") for x in groups.min()[groupby]]
+            groupcols = 100.*np.arange(aantal)/float(aantal)
         except AttributeError:
             df['groupval'] = groups.mean()['days ago'].fillna(value=0)
+            groupcols = 100.*np.arange(aantal)/float(aantal)
                     
+
+    groupcols = (groupcols-groupcols.min())/(groupcols.max()-groupcols.min())
+    if aantal == 1:
+        groupcols = np.array([1.])
+        
+    groupcols *= 100.
+    rgb = [colorsys.hsv_to_rgb(float(x/100.), 1.0, 1.0) for x in groupcols]
+    RGB = [(int(255.*r),int(255.*g),int(255.*b)) for (r, g, b) in rgb]
+    colors = ["#%02x%02x%02x" % (r, g, b) for (r, g, b) in RGB]
+    df['color'] = colors
+
     if userid == 0:
         extratitle = ''
     else: