legend

rowers/interactiveplots.py

@@ -11,7 +11,7 @@ from django.utils import timezone
 from bokeh.palettes import Dark2_8 as palette
 import itertools
 from bokeh.plotting import figure, ColumnDataSource, Figure,curdoc
-from bokeh.models import CustomJS,Slider, TextInput
+from bokeh.models import CustomJS,Slider, TextInput,BoxAnnotation
 from bokeh.charts import Histogram,HeatMap,Area,BoxPlot
 from bokeh.resources import CDN,INLINE
 from bokeh.embed import components
@@ -1189,7 +1189,7 @@ def interactive_chart(id=0,promember=0):
 
 def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
                           ploterrorbars=False,
-                          title=None,binsize=1):
+                          title=None,binsize=1,colorlegend=[]):
 
     if datadf.empty:
         return ['','<p>No non-zero data in selection</p>']
@@ -1259,18 +1259,17 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
         datadf,
         )
 
-    
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,resize'
 
     if groupby != 'date':
         hover = HoverTool(names=['data'],
                           tooltips = [
-                              (groupby,'@groupval{1.1}')
+                              (groupby,'@groupval{1.1}'),
                           ])
     else:
         hover = HoverTool(names=['data'],
                           tooltips = [
-                              (groupby,'@groupval')
+                              (groupby,'@groupval'),
                           ])
 
     hover.mode = 'mouse'
@@ -1281,7 +1280,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
     plot = Figure(x_axis_type=x_axis_type,y_axis_type=y_axis_type,
 		  tools=TOOLS,
 		  toolbar_location="above",
-		  toolbar_sticky=False)
+		  toolbar_sticky=False) #,plot_width=500,plot_height=500)
 
     # add watermark
     plot.extra_y_ranges = {"watermark": watermarkrange}
@@ -1311,6 +1310,34 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
              },
     )
 
+
+
+    for nr, gvalue, color in colorlegend:
+        box = BoxAnnotation(bottom=500-20*nr,left=550,top=520-20*nr,
+                            right=570,
+                            bottom_units='screen',
+                            top_units='screen',
+                            left_units='screen',
+                            right_units='screen',
+                            fill_color=color)
+        legendlabel = Label(x=571,y=503-20*nr,x_units='screen',
+                            y_units='screen',
+                            text = "{gvalue:3.0f}".format(gvalue=gvalue),
+                            background_fill_alpha=1.0,
+                            text_color='black',
+                            text_font_size=value("0.7em"))
+        plot.add_layout(box)
+        plot.add_layout(legendlabel)
+
+    if colorlegend:
+        legendlabel = Label(x=372,y=300,x_units='screen',
+                            y_units='screen',
+                            text = 'group legend',
+                            text_color='black',
+                            text_font_size=value("0.7em"),
+                            angle=90,
+                            angle_units='deg')
+    
     if xparam == 'workoutid':
         plot.xaxis.axis_label = 'Workout'
     else:

rowers/utils.py

@@ -1,9 +1,20 @@
 import math
 import numpy as np
 import pandas as pd
+import colorsys
 
 lbstoN = 4.44822
 
+def range_to_color_hex(groupcols):
+    rgb = [colorsys.hsv_to_rgb((207-4*x)/360.,
+                               0.06+0.89*x,
+                               1-0.38*x) 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]
+
+    return colors
+
 def str2bool(v):
   return v.lower() in ("yes", "true", "t", "1")
 

rowers/views.py

@@ -272,7 +272,7 @@ def splitstdata(lijst):
 	
 from utils import (
     geo_distance,serialize_list,deserialize_list,uniqify,
-    str2bool
+    str2bool,range_to_color_hex
     )
 
 import datautils
@@ -3570,9 +3570,12 @@ def multiflex_view(request,userid=0,
     yerror = groups.std()[yparam]
     groupsize = groups.count()[xparam]
         
-    #groupsize = 15.*np.log10(1+99.*groupsize/float(max(groupsize)))
-    groupsize = 30.*np.sqrt(groupsize/float(max(groupsize)))
-
+    if len(groupsize) == 0:
+        messages.error(request,'No data in selection')
+        url = reverse(user_multiflex_select)
+        return HttpResponseRedirect(url)
+    else:
+        groupsize = 30.*np.sqrt(groupsize/float(groupsize.max()))
     
     df = pd.DataFrame({
         xparam:xvalues,
@@ -3604,16 +3607,19 @@ def multiflex_view(request,userid=0,
     if aantal == 1:
         groupcols = np.array([1.])
         
-    # rgb = [colorsys.hsv_to_rgb(float(x/100.), 1.0, 1.0) for x in groupcols]
-    rgb = [colorsys.hsv_to_rgb((207-4*x)/360.,
-                               0.06+0.89*x,
-                               1-0.38*x) for x in groupcols]
 
-    groupcols *= 100.
-    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]
+    colors = range_to_color_hex(groupcols)
+    
     df['color'] = colors
 
+    clegendx = np.arange(0,1.2,.2)
+    legcolors = range_to_color_hex(clegendx)
+    clegendy = df['groupval'].min()+clegendx*(df['groupval'].max()-df['groupval'].min())
+
+    
+    colorlegend =  zip(range(6),clegendy,legcolors)
+
+
     if userid == 0:
         extratitle = ''
     else:
@@ -3626,7 +3632,8 @@ def multiflex_view(request,userid=0,
                                        groupby,
                                        extratitle=extratitle,
                                        ploterrorbars=ploterrorbars,
-                                       binsize=binsize)
+                                       binsize=binsize,
+                                       colorlegend=colorlegend)