adding athlete names to analysis

rowers/interactiveplots.py

@@ -365,6 +365,9 @@ def interactive_boxchart(datadf, fieldname, extratitle='',
     plot.y_range = yrange1
     plot.sizing_mode = 'stretch_both'
 
+    if extratitle:
+        plot.title.text = extratitle
+
     plot.xaxis.axis_label = 'Date'
     plot.yaxis.axis_label = axlabels[fieldname]
 
@@ -1970,6 +1973,7 @@ def performance_chart(user, startdate=None, enddate=None, kfitness=42, kfatigue=
 
 def interactive_histoall(theworkouts, histoparam, includereststrokes,
                          spmmin=0, spmmax=55,
+                         extratitle='',
                          workmin=0, workmax=1500):
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
@@ -2013,6 +2017,10 @@ def interactive_histoall(theworkouts, histoparam, includereststrokes,
                   toolbar_location="above"
                   )
 
+    if extratitle:
+        plot.title.text = extratitle
+
+
     # add watermark
     watermarkurl = "/static/img/logo7.png"
     watermarkrange = Range1d(start=0, end=1)
@@ -4470,6 +4478,9 @@ def interactive_multiflex(datadf, xparam, yparam, groupby, extratitle='',
             gr=groupname,
         )
 
+    if extratitle is not None:
+        title = title+' '+extratitle
+
     if xparam == 'cumdist':  # pragma: no cover
         res = make_cumvalues(datadf[xparam])
         datadf[xparam] = res[0]
@@ -4659,6 +4670,7 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
                                 yparam1='power',
                                 yparam2='spm',
                                 workstrokesonly=False,
+                                extratitle='',
                                 trendline=False):
 
     # datadf = dataprep.smalldataprep(theworkouts,xparam,yparam1,yparam2)
@@ -4789,6 +4801,10 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
     plot.extra_x_ranges = {"watermark": watermarkrange}
     plot.sizing_mode = 'stretch_both'
 
+    if extratitle:
+        plot.title.text = extratitle
+
+
     plot.image_url([watermarkurl], watermarkx, watermarky,
                    watermarkw, watermarkh,
                    global_alpha=watermarkalpha,