diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index 57f040e6..50397ff7 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -482,7 +482,7 @@ def clean_df_stats(datadf, workstrokesonly=True, ignorehr=True,
 
 
     try:
-        mask = datadf['wash'] > 1
+        mask = datadf['wash'] < 1
         datadf.loc[mask, 'wash'] = np.nan
     except (KeyError,TypeError):
         pass
diff --git a/rowers/interactiveplots.py b/rowers/interactiveplots.py
index 95c5b5ed..c4ab7eb1 100644
--- a/rowers/interactiveplots.py
+++ b/rowers/interactiveplots.py
@@ -21,7 +21,7 @@ from bokeh.models.glyphs import MultiLine
 import itertools
 from bokeh.plotting import figure, ColumnDataSource, Figure,curdoc
 from bokeh.models import CustomJS,Slider, TextInput,BoxAnnotation
-    
+
 from bokeh.resources import CDN,INLINE
 from bokeh.embed import components
 from bokeh.layouts import layout,widgetbox
@@ -87,14 +87,14 @@ import rowers.datautils as datautils
 
 
 def errorbar(fig, x, y, source=ColumnDataSource(),
-             xerr=False, yerr=False, color='black', 
+             xerr=False, yerr=False, color='black',
              point_kwargs={}, error_kwargs={}):
 
 
     xvalues = source.data[x]
     yvalues = source.data[y]
 
-    
+
     xerrvalues = source.data['xerror']
     yerrvalues = source.data['yerror']
     try:
@@ -102,7 +102,7 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
     except KeyError:
         colorvalues = ["#%02x%02x%02x" % (255,0,0) for x in xvalues]
 
-        
+
     try:
         a = xvalues[0]+1
         if xerr:
@@ -140,7 +140,7 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
                 r, g, b = colorsys.hsv_to_rgb(h, s, v)
                 color2 = "#%02x%02x%02x" % (int(255.*r), int(255.*g), int(255*b))
                 err_color.append(color2)
-                
+
             fig.multi_line(y_err_x, y_err_y, color=err_color,
                            name='yerr',**error_kwargs)
     except TypeError:
@@ -149,7 +149,7 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
     fig.circle(x, y, source=source, name='data',color=color,
                **point_kwargs)
 
-    
+
 def tailwind(bearing,vwind,winddir):
     """ Calculates head-on head/tailwind in direction of rowing
 
@@ -161,23 +161,23 @@ def tailwind(bearing,vwind,winddir):
     w = np.radians(winddir)
 
     vtail = -vwind*np.cos(w-b)
-    
+
     return vtail
 
 
 from rowers.dataprep import nicepaceformat,niceformat
-from rowers.dataprep import timedeltaconv    
+from rowers.dataprep import timedeltaconv
 
 def interactive_boxchart(datadf,fieldname,extratitle='',
                          spmmin=0,spmmax=0,workmin=0,workmax=0):
 
     if datadf.empty:
         return '','It looks like there are no data matching your filter'
-    
+
     tooltips = [
         ('Value', '@'+fieldname),
         ]
-    
+
     hover = HoverTool(tooltips=tooltips)
 
     TOOLS = [hover]
@@ -216,7 +216,7 @@ def interactive_boxchart(datadf,fieldname,extratitle='',
 
     plot.plot_width=920
     plot.plot_height=600
-    
+
     slidertext = 'SPM: {:.0f}-{:.0f}, WpS: {:.0f}-{:.0f}'.format(
         spmmin,spmmax,workmin,workmax
         )
@@ -228,7 +228,7 @@ def interactive_boxchart(datadf,fieldname,extratitle='',
                         )
 
     plot.add_layout(sliderlabel)
-    
+
     script, div = components(plot)
 
     return script,div
@@ -246,15 +246,15 @@ def interactive_planchart(data,startdate,enddate):
 
     if yaxmaximum == 0:
         yaxmaximum = 250
-    
+
     yrange1 = Range1d(start=0,end=1.1*yaxmaximum)
-    
-    
+
+
     tidy_df = data.melt(id_vars=['startdate'],value_vars=['executed','planned'])
     bars = hv.Bars(tidy_df,['startdate','variable'],['value'])
     bars.opts(
         opts.Bars(show_legend=True,tools=['tap','hover'],legend_position='bottom',show_frame=True))
-    
+
     p = hv.render(bars)
 
     p.plot_width=550
@@ -268,7 +268,7 @@ def interactive_planchart(data,startdate,enddate):
     return script,div
 
 def interactive_activitychart(workouts,startdate,enddate,stack='type'):
-    
+
     dates = []
     dates_sorting = []
     types = []
@@ -283,7 +283,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
 
     for w in workouts:
         aantal=1
-        initials = w.user.user.first_name[0:aantal]+w.user.user.last_name[0:aantal]    
+        initials = w.user.user.first_name[0:aantal]+w.user.user.last_name[0:aantal]
         if w.user.id not in idseen:
             while initials in seen:
                 aantal += 1
@@ -293,7 +293,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
             idseen.append(w.user.id)
             rowersinitials[w.user.id] = initials
 
-            
+
 
     for w in workouts:
         dd = w.date.strftime('%m/%d')
@@ -308,7 +308,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
                 code = encoder.encode_hex(w.id)
                 )
         )
-        
+
         types.append(w.workouttype)
         try:
             rowers.append(rowersinitials[w.user.id])
@@ -330,7 +330,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
         dd = d.strftime('%d')
         dates.append(d.strftime('%m/%d'))
 
-            
+
         dates_sorting.append(d.strftime('%Y/%m/%d'))
         durations.append(0)
         links.append('')
@@ -342,7 +342,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
                 rowers.append(str(workouts[0].user))
             except IndexError:
                 rowers.append(' ')
-                
+
         d += datetime.timedelta(days=1)
 
 
@@ -354,7 +354,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
         'rower':rowers,
         'link':links,
         }
-        
+
     df = pd.DataFrame(thedict)
 
     source = ColumnDataSource(df)
@@ -372,14 +372,14 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
 
     bars=table.to.bars(['date',stack],['duration'])
     bars.opts(
-        opts.Bars(color=hv.Cycle('Category10'), show_legend=True, stacked=True, 
+        opts.Bars(color=hv.Cycle('Category10'), show_legend=True, stacked=True,
                   tools=['tap','hover'], width=550, xrotation=45,padding=(0,(0,.1)),
                   legend_position='bottom',show_frame=True))
 
 
 
     p = hv.render(bars)
-    
+
     p.title.text = 'Activity {d1} to {d2}'.format(
                 d1 = startdate.strftime("%Y-%m-%d"),
                 d2 = enddate.strftime("%Y-%m-%d"),
@@ -391,7 +391,7 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
     p.sizing_mode = 'scale_width'
     url = "http://rowsandall.com/rowers/workout/@duration/"
     taptool = p.select(type=TapTool)
-    
+
 
 
     callback = CustomJS(args={'links':df.link}, code="""
@@ -401,10 +401,10 @@ def interactive_activitychart(workouts,startdate,enddate,stack='type'):
       console.log(links[index]);
       window.location.href = links[index]
     """)
-    
+
     taptool.callback = callback
 
-    
+
     script,div = components(p)
     return script,div
 
@@ -414,14 +414,15 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
     ids = [int(w.id) for w in theworkouts]
 
     boattype = theworkouts[0].boattype
-    
+
     columns = ['catch','slip','wash','finish','averageforce',
                'peakforceangle','peakforce','spm','distance',
                'workoutstate','driveenergy']
-    
+
+
     rowdata = dataprep.getsmallrowdata_db(columns,ids=ids,
                                           workstrokesonly=workstrokesonly)
-    
+
     rowdata.dropna(axis=1,how='all',inplace=True)
     rowdata.dropna(axis=0,how='any',inplace=True)
 
@@ -465,7 +466,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
         x25 = x.quantile(q=0.15)
         x75 = x.quantile(q=0.85)
         x95 = x.quantile(q=0.99)
-    
+
         y05 = y.quantile(q=0.01)
         y25 = y.quantile(q=0.15)
         y75 = y.quantile(q=0.85)
@@ -473,55 +474,55 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
 
         a25 = Rinv[0,0]*x25 + rowdata['peakforceangle'].median()
         F25 = Rinv[1,0]*x25 + rowdata['peakforce'].median()
-        
+
         a25b = Rinv[0,1]*y25 + rowdata['peakforceangle'].median()
         F25b = Rinv[1,1]*y25 + rowdata['peakforce'].median()
-        
+
         a75 = Rinv[0,0]*x75 + rowdata['peakforceangle'].median()
         F75 = Rinv[1,0]*x75 + rowdata['peakforce'].median()
-        
+
         a75b = Rinv[0,1]*y75 + rowdata['peakforceangle'].median()
         F75b = Rinv[1,1]*y75 + rowdata['peakforce'].median()
-        
-    
+
+
         a05 = Rinv[0,0]*x05 + rowdata['peakforceangle'].median()
         F05 = Rinv[1,0]*x05 + rowdata['peakforce'].median()
-        
+
         a05b = Rinv[0,1]*y05 + rowdata['peakforceangle'].median()
         F05b = Rinv[1,1]*y05 + rowdata['peakforce'].median()
-        
+
         a95 = Rinv[0,0]*x95 + rowdata['peakforceangle'].median()
         F95 = Rinv[1,0]*x95 + rowdata['peakforce'].median()
-        
+
         a95b = Rinv[0,1]*y95 + rowdata['peakforceangle'].median()
         F95b = Rinv[1,1]*y95 + rowdata['peakforce'].median()
     except KeyError:
         a25 = 0
         F25 = 0
-        
+
         a25b = 0
         F25b = 0
-        
+
         a75 = 0
         F75 = 0
-        
+
         a75b = 0
         F75b = 0
-        
-    
+
+
         a05 = 0
         F05 = 0
-        
+
         a05b = 0
         F05b = 0
-        
+
         a95 = 0
         F95 = 0
-        
+
         a95b = 0
         F95b = 0
 
-    
+
 
     try:
         catchav = rowdata['catch'].median()
@@ -548,7 +549,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
         finish75 = 0
         finish05 = 0
         finish95 = 0
-        
+
     try:
         washav = (rowdata['finish']-rowdata['wash']).median()
         wash25 = (rowdata['finish']-rowdata['wash']).quantile(q=0.25)
@@ -574,7 +575,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
         slip75 = 0
         slip05 = 0
         slip95 = 0
-        
+
     try:
         peakforceav = rowdata['peakforce'].median()
         peakforce25 = rowdata['peakforce'].quantile(q=0.25)
@@ -588,18 +589,18 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
         peakforce05 = 0
         peakforce95 = 0
 
-    
+
     try:
         averageforceav = rowdata['averageforce'].median()
     except KeyError:
         averageforceav = 0
-        
+
     try:
         peakforceangleav = rowdata['peakforceangle'].median()
         peakforceangle05 = rowdata['peakforceangle'].quantile(q=0.05)
         peakforceangle25 = rowdata['peakforceangle'].quantile(q=0.25)
-        peakforceangle75 = rowdata['peakforceangle'].quantile(q=0.75)        
-        peakforceangle95 = rowdata['peakforceangle'].quantile(q=0.95)        
+        peakforceangle75 = rowdata['peakforceangle'].quantile(q=0.75)
+        peakforceangle95 = rowdata['peakforceangle'].quantile(q=0.95)
     except KeyError:
         peakforceangleav = 0
         peakforceangle25 = 0
@@ -641,7 +642,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
         ]
 
 
-    
+
     angles2575 = []
     forces2575 = []
 
@@ -649,7 +650,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
         angles2575.append(x)
         forces2575.append(y)
 
-    
+
     angles0595 = []
     forces0595 = []
 
@@ -659,8 +660,8 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
 
 
 
-    
-        
+
+
     x = [catchav,
          slipav,
          peakforceangleav,
@@ -672,7 +673,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
          thresholdforce,0]
 
 
-    
+
     source = ColumnDataSource(
         data = dict(
             x = x,
@@ -685,7 +686,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
             yslip = [thresholdforce,thresholdforce]
             )
         )
-    
+
     sourcetrend = ColumnDataSource(
         data = dict(
             x = [peakforceangle25,peakforceangle75],
@@ -699,7 +700,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
             y = slope*np.array([peakforceangle25,peakforceangle75])+intercept
             )
         )
-    
+
     source2 = ColumnDataSource(
         rowdata
         )
@@ -725,7 +726,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
                 peakforceangle = [],
                 peakforce = []
                 ))
-        
+
 
     sourcerange = ColumnDataSource(
         data = dict(
@@ -743,7 +744,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -768,7 +769,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
 
     avf = Span(location=averageforceav,dimension='width',line_color='blue',
                line_dash=[6,6],line_width=2)
-    
+
     plot.patch('x0595','y0595',source=sourcerange,color="red",alpha=0.05)
     plot.patch('x2575','y2575',source=sourcerange,color="red",alpha=0.2)
     plot.line('x','y',source=source,color="red")
@@ -807,26 +808,26 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
             x=multilinedatax,
             y=multilinedatay,
             ))
-            
+
         sourcemultiline2 = ColumnDataSource(dict(
             x=multilinedatax,
             y=multilinedatay,
             ))
-            
+
         glyph = MultiLine(xs='x',ys='y',line_color='black',line_alpha=0.05)
         plot.add_glyph(sourcemultiline,glyph)
     else:
         sourcemultiline = ColumnDataSource(dict(
             x=[],y=[]))
-                
+
         sourcemultiline2 = ColumnDataSource(dict(
             x=[],y=[]))
-                
-    
+
+
     plot.line('x','y',source=source,color="red")
 
     plot.add_layout(avf)
-    
+
     peakflabel = Label(x=410,y=460,x_units='screen',y_units='screen',
                        text="Fpeak: {peakforceav:6.2f}".format(peakforceav=peakforceav),
                        background_fill_alpha=.7,
@@ -903,7 +904,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
                         background_fill_color='white',
                         text_color='black',text_font_size='10pt',
                         )
-    
+
 
     plot.add_layout(peakflabel)
     plot.add_layout(peakforceanglelabel)
@@ -959,7 +960,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
 
        var multilinesx = multilines2['x']
        var multilinesy = multilines2['y']
-                               
+
        var x = data['x']
        var y = data['y']
 
@@ -970,7 +971,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
        var driveenergy1 = data2['driveenergy']
 
        var thresholdforce = y[1]
-       
+
        var c = source2.data['catch']
        var finish = data2['finish']
        var slip = data2['slip']
@@ -1065,7 +1066,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
        console.log(count);
        console.log(multilines['x'].length);
        console.log(multilines['y'].length);
- 
+
        // source.trigger('change');
        source.change.emit();
        sourceslipwash.change.emit()
@@ -1073,14 +1074,14 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
        sourcemultiline.change.emit();
        """)
 
-    annotation = TextInput(title="Type your plot notes here", value="", 
+    annotation = TextInput(title="Type your plot notes here", value="",
                                callback=callback)
     callback.args["annotation"] = annotation
 
     slider_spm_min = Slider(start=15.0, end=55,value=15.0, step=.1,
                 title="Min SPM",callback=callback)
     callback.args["minspm"] = slider_spm_min
-    
+
 
     slider_spm_max = Slider(start=15.0, end=55,value=55.0, step=.1,
                 title="Max SPM",callback=callback)
@@ -1089,18 +1090,18 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
     slider_work_min = Slider(start=0, end=1500,value=0, step=10,
                 title="Min Work per Stroke",callback=callback)
     callback.args["minwork"] = slider_work_min
-    
+
 
     slider_work_max = Slider(start=0, end=1500,value=1500, step=10,
                 title="Max Work per Stroke",callback=callback)
     callback.args["maxwork"] = slider_work_max
 
     distmax = 100+100*int(rowdata['distance'].max()/100.)
-    
+
     slider_dist_min = Slider(start=0,end=distmax,value=0,step=50,
                              title="Min Distance",callback=callback)
     callback.args["mindist"] = slider_dist_min
-    
+
     slider_dist_max = Slider(start=0,end=distmax,value=distmax,
                              step=50,
                              title="Max Distance",callback=callback)
@@ -1123,7 +1124,7 @@ def interactive_forcecurve(theworkouts,workstrokesonly=True,plottype='scatter'):
     js_resources = INLINE.render_js()
     css_resources = INLINE.render_css()
 
- 
+
 
     return [script,div,js_resources,css_resources]
 
@@ -1139,7 +1140,7 @@ def fitnessmetric_chart(fitnessmetrics,user,workoutmode='rower',startdate=None,
 
     if len(power4min) == 0:
         return ['','']
-        
+
     df = pd.DataFrame(
         {'power4min':power4min,
          'power2k':power2k,
@@ -1157,7 +1158,7 @@ def fitnessmetric_chart(fitnessmetrics,user,workoutmode='rower',startdate=None,
     df.loc[mask,'power4min'] = np.nan
     df.dropna(inplace=True,axis=0,how='any')
 
-    
+
     df = df[df['power2k']>0]
     try:
         df = df[df['mode']==workoutmode]
@@ -1218,7 +1219,7 @@ def fitnessmetric_chart(fitnessmetrics,user,workoutmode='rower',startdate=None,
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -1272,7 +1273,7 @@ def fitnessmetric_chart(fitnessmetrics,user,workoutmode='rower',startdate=None,
 
     if not enddate:
         enddate = max(date)
-        
+
     plot.x_range = Range1d(
         startdate,enddate,
     )
@@ -1286,11 +1287,11 @@ def fitnessmetric_chart(fitnessmetrics,user,workoutmode='rower',startdate=None,
         ('Power 1 hour','@power1hr'),
         ('Date','@fdate'),
     ])
-    
+
     script,div = components(plot)
 
     return [script,div]
-    
+
 def interactive_histoall(theworkouts,histoparam,includereststrokes,
                          spmmin=0,spmmax=55,
                          workmin=0,workmax=1500):
@@ -1318,7 +1319,7 @@ def interactive_histoall(theworkouts,histoparam,includereststrokes,
         return "","No data"
     if len(histopwr) == 0:
         return "","No valid data available"
-        
+
     # throw out nans
     histopwr = histopwr[~np.isinf(histopwr)]
     histopwr = histopwr[histopwr > yaxminima[histoparam]]
@@ -1333,7 +1334,7 @@ def interactive_histoall(theworkouts,histoparam,includereststrokes,
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -1374,11 +1375,11 @@ def interactive_histoall(theworkouts,histoparam,includereststrokes,
 
 #    plot.quad(top='hist_norm',bottom=0,left=edges[:-1],right=edges[1:])
     plot.quad(top='hist_norm',bottom=0,left='left',right='right',source=source)
-    
+
     plot.xaxis.axis_label = axlabels[histoparam]
     plot.yaxis.axis_label = "% of strokes"
     plot.y_range = Range1d(0,1.05*max(hist_norm))
-    
+
 
     hover = plot.select(dict(type=HoverTool))
 
@@ -1397,7 +1398,7 @@ def interactive_histoall(theworkouts,histoparam,includereststrokes,
                                axis_label="Cumulative % of strokes"),'right')
 
     plot.sizing_mode = 'scale_width'
-        
+
     annolabel = Label(x=50,y=450,x_units='screen',y_units='screen',
                       text='',
                       background_fill_alpha=0.7,
@@ -1425,7 +1426,7 @@ def interactive_histoall(theworkouts,histoparam,includereststrokes,
     except ValueError:
         script = ''
         div = ''
-    
+
     return [script,div]
 
 def course_map(course):
@@ -1433,7 +1434,7 @@ def course_map(course):
     lat_min, lat_max, long_min, long_max = course_coord_maxmin(course)
 
     coordinates = course_spline(coordinates)
-    
+
     scoordinates = "["
 
     for index,row in coordinates.iterrows():
@@ -1451,7 +1452,7 @@ def course_map(course):
 
     for p in polygons:
         coords = polygon_coord_center(p)
-        
+
         plabels += """
         var marker = L.marker([{latbegin}, {longbegin}]).addTo(mymap);
         marker.bindPopup("<b>{name}</b>");
@@ -1461,7 +1462,7 @@ def course_map(course):
             longbegin = coords[1],
             name = p.name
             )
-    
+
     pcoordinates = """[
     """
 
@@ -1490,8 +1491,8 @@ def course_map(course):
 
     script = """
     <script>
-      
-      
+
+
     var streets = L.tileLayer('https://api.tiles.mapbox.com/v4/{{id}}/{{z}}/{{x}}/{{y}}.png?access_token=pk.eyJ1Ijoic2FuZGVycm9vc2VuZGFhbCIsImEiOiJjajY3aTRkeWQwNmx6MzJvMTN3andlcnBlIn0.MFG8Xt0kDeSA9j7puZQ9hA', {{
                 maxZoom: 18,
                 id: 'mapbox.streets'
@@ -1511,7 +1512,7 @@ def course_map(course):
 
     var mymap = L.map('map_canvas', {{
               center: [{latmean}, {lonmean}],
-              zoom: 13, 
+              zoom: 13,
               layers: [streets, satellite]
               }}).setView([{latmean},{lonmean}], 13);
 
@@ -1540,7 +1541,7 @@ def course_map(course):
     }},{{
         "Navionics":navionics,
     }}).addTo(mymap);
- 
+
     var latlongs = {scoordinates}
     var polyline = L.polyline(latlongs, {{color:'red'}}).addTo(mymap)
     mymap.fitBounds(polyline.getBounds())
@@ -1584,7 +1585,7 @@ def leaflet_chart(lat,lon,name=""):
     lon = df['lon']
     if lat.empty or lon.empty:
         return [0,"invalid coordinate data"]
-    
+
     latmean = lat.mean()
     lonmean = lon.mean()
 
@@ -1605,11 +1606,11 @@ def leaflet_chart(lat,lon,name=""):
             )
 
     scoordinates += "]"
-    
+
     script = """
     <script>
-      
-      
+
+
     var streets = L.tileLayer('https://api.tiles.mapbox.com/v4/{{id}}/{{z}}/{{x}}/{{y}}.png?access_token=pk.eyJ1Ijoic2FuZGVycm9vc2VuZGFhbCIsImEiOiJjajY3aTRkeWQwNmx6MzJvMTN3andlcnBlIn0.MFG8Xt0kDeSA9j7puZQ9hA', {{
                 maxZoom: 18,
                 id: 'mapbox.streets'
@@ -1629,7 +1630,7 @@ def leaflet_chart(lat,lon,name=""):
 
     var mymap = L.map('map_canvas', {{
               center: [{latmean}, {lonmean}],
-              zoom: 13, 
+              zoom: 13,
               layers: [streets, satellite]
               }}).setView([{latmean},{lonmean}], 13);
 
@@ -1658,12 +1659,12 @@ def leaflet_chart(lat,lon,name=""):
     }},{{
         "Navionics":navionics,
     }}).addTo(mymap);
- 
+
     var marker = L.marker([{latbegin}, {longbegin}]).addTo(mymap);
     marker.bindPopup("<b>Start</b>");
     var emarker = new L.marker([{latend}, {longend}]).addTo(mymap);
     emarker.bindPopup("<b>End</b>");
-      
+
     var latlongs = {scoordinates}
     var polyline = L.polyline(latlongs, {{color:'red'}}).addTo(mymap)
     mymap.fitBounds(polyline.getBounds())
@@ -1726,11 +1727,11 @@ def leaflet_chart2(lat,lon,name=""):
             )
 
     scoordinates += "]"
-    
+
     script = """
     <script>
-      
-      
+
+
     var streets = L.tileLayer('https://api.tiles.mapbox.com/v4/{{id}}/{{z}}/{{x}}/{{y}}.png?access_token=pk.eyJ1Ijoic2FuZGVycm9vc2VuZGFhbCIsImEiOiJjajY3aTRkeWQwNmx6MzJvMTN3andlcnBlIn0.MFG8Xt0kDeSA9j7puZQ9hA', {{
                 maxZoom: 18,
                 id: 'mapbox.streets'
@@ -1750,7 +1751,7 @@ def leaflet_chart2(lat,lon,name=""):
 
     var mymap = L.map('map_canvas', {{
               center: [{latmean}, {lonmean}],
-              zoom: 13, 
+              zoom: 13,
               layers: [streets, satellite]
               }}).setView([{latmean},{lonmean}], 13);
 
@@ -1779,12 +1780,12 @@ def leaflet_chart2(lat,lon,name=""):
     }},{{
         "Navionics":navionics,
     }}).addTo(mymap);
- 
+
     var marker = L.marker([{latbegin}, {longbegin}]).addTo(mymap);
     marker.bindPopup("<b>Start</b>");
     var emarker = new L.marker([{latend}, {longend}]).addTo(mymap);
     emarker.bindPopup("<b>End</b>");
-      
+
     var latlongs = {scoordinates}
     var polyline = L.polyline(latlongs, {{color:'red'}}).addTo(mymap)
     mymap.fitBounds(polyline.getBounds())
@@ -1807,14 +1808,14 @@ def leaflet_chart2(lat,lon,name=""):
 
 
     return script,div
-                            
+
 def interactive_agegroupcpchart(age,normalized=False):
     durations = [1,4,30,60]
     distances = [100,500,1000,2000,5000,6000,10000,21097,42195]
 
     fhduration = []
     fhpower = []
-    
+
     for distance in distances:
         worldclasspower = c2stuff.getagegrouprecord(
             age,
@@ -1846,7 +1847,7 @@ def interactive_agegroupcpchart(age,normalized=False):
 
     flduration = []
     flpower = []
-    
+
     for distance in distances:
         worldclasspower = c2stuff.getagegrouprecord(
             age,
@@ -1878,7 +1879,7 @@ def interactive_agegroupcpchart(age,normalized=False):
 
     mlduration = []
     mlpower = []
-    
+
     for distance in distances:
         worldclasspower = c2stuff.getagegrouprecord(
             age,
@@ -1907,11 +1908,11 @@ def interactive_agegroupcpchart(age,normalized=False):
             mlpower.append(worldclasspower)
         except ValueError:
             pass
-        
+
 
     mhduration = []
     mhpower = []
-    
+
     for distance in distances:
         worldclasspower = c2stuff.getagegrouprecord(
             age,
@@ -1940,9 +1941,9 @@ def interactive_agegroupcpchart(age,normalized=False):
             mhpower.append(worldclasspower)
         except ValueError:
             pass
-        
 
-        
+
+
     fitfunc = lambda pars,x: pars[0]/(1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
     errfunc = lambda pars,x,y: fitfunc(pars,x)-y
 
@@ -1968,13 +1969,13 @@ def interactive_agegroupcpchart(age,normalized=False):
                                        args = (mlduration,mlpower))
     else:
         p1ml = None
-        
+
     if len(mhduration)>=4:
         p1mh, success = optimize.leastsq(errfunc, p0[:],
                                        args = (mhduration,mhpower))
     else:
         p1mh = None
-        
+
     fitt = pd.Series(10**(4*np.arange(100)/100.))
 
     fitpowerfh = fitfunc(p1fh,fitt)
@@ -1997,7 +1998,7 @@ def interactive_agegroupcpchart(age,normalized=False):
         mhpower /= facmh
 
 
-        
+
     source = ColumnDataSource(
         data = dict(
             duration = fitt,
@@ -2024,7 +2025,7 @@ def interactive_agegroupcpchart(age,normalized=False):
     plot = Figure(plot_width=900,x_axis_type=x_axis_type,
                   tools=TOOLS)
     plot.sizing_mode = 'scale_width'
-    
+
     plot.line('duration','fitpowerfh',source=source,
               legend='Female HW',color='blue')
     plot.line('duration','fitpowerfl',source=source,
@@ -2053,7 +2054,7 @@ def interactive_agegroupcpchart(age,normalized=False):
 
     plot.xaxis.axis_label = "Duration (seconds)"
     if normalized:
-        plot.yaxis.axis_label = "Power (normalized)"        
+        plot.yaxis.axis_label = "Power (normalized)"
     else:
         plot.yaxis.axis_label = "Power (W)"
 
@@ -2076,8 +2077,8 @@ def interactive_otwcpchart(powerdf,promember=0,rowername=""):
 
     deltas = powerdf['Delta'].apply(lambda x: timedeltaconv(x))
     powerdf['ftime'] = niceformat(deltas)
-    
-    
+
+
     source = ColumnDataSource(
         data = powerdf
         )
@@ -2088,7 +2089,7 @@ def interactive_otwcpchart(powerdf,promember=0,rowername=""):
     theavpower = powerdf['CP']
 
     p1,fitt,fitpower,ratio = datautils.cpfit(powerdf)
-    
+
     message = ""
     #if len(fitpower[fitpower<0]) > 0:
         # message = "CP model fit didn't give correct results"
@@ -2096,7 +2097,7 @@ def interactive_otwcpchart(powerdf,promember=0,rowername=""):
 
     deltas = fitt.apply(lambda x: timedeltaconv(x))
     ftime = niceformat(deltas)
-        
+
     sourcecomplex = ColumnDataSource(
         data = dict(
             CP = fitpower,
@@ -2116,7 +2117,7 @@ def interactive_otwcpchart(powerdf,promember=0,rowername=""):
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -2154,15 +2155,15 @@ def interactive_otwcpchart(powerdf,promember=0,rowername=""):
         ('Power (W)','@CP{int}'),
         ('Power (W) upper','@CPmax{int}'),
         ])
- 
+
     hover.mode = 'mouse'
 
     plot.line('duration','CP',source=sourcecomplex,legend="CP Model",
               color='green')
-    
+
     plot.line('duration','CPmax',source=sourcecomplex,legend="CP Model",
               color='red')
-    
+
     script, div = components(plot)
 
     return [script,div,p1,ratio,message]
@@ -2172,7 +2173,7 @@ def interactive_agegroup_plot(df,distance=2000,duration=None,
 
     if df.empty:
         return '',''
-    
+
     age = df['age']
     power = df['power']
     name = df['name']
@@ -2200,7 +2201,7 @@ def interactive_agegroup_plot(df,distance=2000,duration=None,
 
     expo_vals = fitfunc(p1, age2)
     expo_vals = 0.5*(np.abs(expo_vals)+expo_vals)
-    
+
 
     source = ColumnDataSource(
         data = dict(
@@ -2212,7 +2213,7 @@ def interactive_agegroup_plot(df,distance=2000,duration=None,
             name=name,
             )
     )
-    
+
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
     plot = Figure(tools=TOOLS,plot_width=900)
@@ -2224,7 +2225,7 @@ def interactive_agegroup_plot(df,distance=2000,duration=None,
     plot.xaxis.axis_label = "Age"
     plot.yaxis.axis_label = "Concept2 power"
     plot.title.text = plottitle
-    
+
     hover = plot.select(dict(type=HoverTool))
 
     hover.tooltips = OrderedDict([
@@ -2259,16 +2260,16 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
     p = pd.Series(500./velo)
 
     p2 = p.fillna(method='ffill').apply(lambda x: timedeltaconv(x))
-    
+
     source = ColumnDataSource(
         data = dict(
             dist = thedistances,
             duration = thesecs,
             spm = 0*theavpower,
             tim = niceformat(
-                thesecs.fillna(method='ffill').apply(lambda x: timedeltaconv(x))              
+                thesecs.fillna(method='ffill').apply(lambda x: timedeltaconv(x))
                 ),
-            
+
             power = theavpower,
             fpace = nicepaceformat(p2),
             )
@@ -2319,9 +2320,9 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
                                        args = (wcdurations,wcpower))
     else:
         p1wc = None
-    
+
     # fitting the data to three parameter CP model
-    
+
     success = 0
     p1 = p0
     if len(thesecs)>=4:
@@ -2357,7 +2358,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
         stayerscore = None
         stayerscore2 = None
 
-        
+
     fitt = pd.Series(10**(4*np.arange(100)/100.))
 
     fitpower = fitfunc(p1,fitt)
@@ -2367,7 +2368,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
         fitpowergood = 0.6*fitfunc(p1wc,fitt)
         fitpowerfair = 0.5*fitfunc(p1wc,fitt)
         fitpoweraverage = 0.4*fitfunc(p1wc,fitt)
-        
+
     else:
         fitpowerwc = 0*fitpower
         fitpowerexcellent = 0*fitpower
@@ -2375,7 +2376,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
         fitpowerfair = 0*fitpower
         fitpoweraverage = 0*fitpower
 
-    
+
 
     message = ""
     if len(fitpower[fitpower<0]) > 0:
@@ -2404,7 +2405,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
             )
         )
 
-    
+
 
     # making the plot
     plot = Figure(tools=TOOLS,x_axis_type=x_axis_type,
@@ -2416,7 +2417,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -2457,14 +2458,14 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
 #                  background_fill_color='white',
 #                  text_color='black')
 #            )
-    
+
     cpdata = dataprep.fetchcperg(rower, theworkouts)
 
 
     if cpdata.empty:
         message = 'Calculations are running in the background. Please refresh this page to see updated results'
         return ['','',paulslope,paulintercept,p1,message,p1wc]
-        
+
     velo = cpdata['distance']/cpdata['delta']
 
     p = 500./velo
@@ -2482,11 +2483,11 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
             pace = nicepaceformat(p2),
             )
         )
-    
+
     plot.circle('duration','power',source=source2,
                 fill_color='blue',size=3,
                 legend = 'Power from segments')
-    
+
     hover = plot.select(dict(type=HoverTool))
 
     hover.tooltips = OrderedDict([
@@ -2495,7 +2496,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
         ('Distance (m)','@dist{int}'),
         ('Pace (/500m)','@fpace'),
         ])
- 
+
     hover.mode = 'mouse'
 
     plot.y_range = Range1d(0,1.5*max(theavpower))
@@ -2527,10 +2528,10 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
                   legend="25% percentile",
                   color='SkyBlue',line_dash='dotted')
 
- 
+
     script, div = components(plot)
 
-    
+
     return [script,div,paulslope,paulintercept,p1,message,p1wc]
 
 def interactive_windchart(id=0,promember=0):
@@ -2539,10 +2540,10 @@ def interactive_windchart(id=0,promember=0):
     # g = GraphImage.objects.filter(workout=row).order_by("-creationdatetime")
 
     f1 = row.csvfilename
-        
+
     # create interactive plot
     plot = Figure(plot_width=400,plot_height=300)
-    
+
     # get user
     # u = User.objects.get(id=row.user.id)
     r = row.user
@@ -2595,7 +2596,7 @@ def interactive_windchart(id=0,promember=0):
         TOOLS = 'pan,box_zoom,wheel_zoom,reset,tap,crosshair'
 
 
- 
+
     # making the plot
     plot = Figure(tools=TOOLS,plot_width=400,height=500,
 #                 toolbar_location="below",
@@ -2618,7 +2619,7 @@ def interactive_windchart(id=0,promember=0):
               y_range_name="winddirection")
     plot.add_layout(LinearAxis(y_range_name="winddirection",axis_label="Wind Direction (degree)"),'right')
 
- 
+
     script, div = components(plot)
 
     return [script,div]
@@ -2629,7 +2630,7 @@ def interactive_streamchart(id=0,promember=0):
     # g = GraphImage.objects.filter(workout=row).order_by("-creationdatetime")
 
     f1 = row.csvfilename
-        
+
     # create interactive plot
     plot = Figure(plot_width=400,
                   )
@@ -2647,7 +2648,7 @@ def interactive_streamchart(id=0,promember=0):
     rowdata = rdata(f1,rower=rr)
     if rowdata == 0:
         return "","No Valid Data Available"
-    
+
     dist = rowdata.df.loc[:,'cum_dist']
 
     try:
@@ -2665,7 +2666,7 @@ def interactive_streamchart(id=0,promember=0):
         TOOLS = 'pan,box_zoom,wheel_zoom,reset,tap,crosshair'
 
 
- 
+
     # making the plot
     plot = Figure(tools=TOOLS,plot_width=400,height=500,
 #                 toolbar_location="below",
@@ -2679,7 +2680,7 @@ def interactive_streamchart(id=0,promember=0):
     plot.y_range = Range1d(-2,2)
     plot.sizing_mode = 'scale_width'
 
- 
+
     script, div = components(plot)
 
     return [script,div]
@@ -2691,7 +2692,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
     else:
         TOOLS = 'pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
-        
+
     columns = ['time','pace','hr','fpace','ftime']
     datadf = dataprep.getsmallrowdata_db(columns,ids=[id])
 
@@ -2715,7 +2716,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
         pace = datadf['pace']
     except KeyError:
         datadf['pace'] = 0
-        
+
     source = ColumnDataSource(
         datadf
         )
@@ -2730,7 +2731,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -2776,7 +2777,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
     if row.workouttype == 'water':
         ymax = 90.
         ymin = 210.
-    
+
     plot.y_range = Range1d(1.e3*ymin,1.e3*ymax)
 
 
@@ -2787,7 +2788,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
 
     plot.legend.location = "bottom_right"
 
-    
+
     # add shaded bar chart areas
     if intervaldata != {}:
         intervaldf = pd.DataFrame(intervaldata)
@@ -2800,7 +2801,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
         mask = intervaldf['itype'] == 3
         intervaldf.loc[mask,'value'] = 0
         intervaldf['bottom'] = 10
-        
+
         intervalsource = ColumnDataSource(
             intervaldf
         )
@@ -2808,7 +2809,7 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
         plot.quad(left='time',top='value',bottom='bottom',
                   right='time_r',source=intervalsource,color='mediumvioletred',
                   y_range_name='spmax',fill_alpha=0.2,line_alpha=0.2)
- 
+
 
     hover = plot.select(dict(type=HoverTool))
 
@@ -2819,10 +2820,10 @@ def interactive_chart(id=0,promember=0,intervaldata = {}):
         ('HR','@hr{int}'),
         ('SPM','@spm{1.1}'),
         ])
- 
+
     hover.mode = 'mouse'
     hover.names = ["spm","pace"]
-    
+
     script, div = components(plot)
 
     return [script,div]
@@ -2844,14 +2845,14 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
         yparamname = 'Workout'
     else:
         yparamname = axlabels[yparam]
-        
+
     if groupby == 'workoutid':
         groupname = 'Workout'
     elif groupby == 'date':
         groupname = 'Date'
     else:
         groupname = axlabels[groupby]
-        
+
 
     if title==None:
         title = '{y} vs {x} grouped by {gr}'.format(
@@ -2924,7 +2925,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
     hover.mode = 'mouse'
     TOOLS = [SaveTool(),PanTool(),BoxZoomTool(),WheelZoomTool(),
              ResetTool(),TapTool(),hover]
-    
+
 
     plot = Figure(x_axis_type=x_axis_type,y_axis_type=y_axis_type,
                   tools=TOOLS,
@@ -2935,7 +2936,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -2960,7 +2961,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
                    x_range_name = "watermark",
                    y_range_name = "watermark",
                    )
-    
+
     errorbar(plot,xparam,yparam,source=source,
              xerr=ploterrorbars,
              yerr=ploterrorbars,
@@ -3001,7 +3002,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
                             text_font_size=value("0.7em"),
                             angle=90,
                             angle_units='deg')
-    
+
     if xparam == 'workoutid':
         plot.xaxis.axis_label = 'Workout'
     else:
@@ -3029,7 +3030,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
                         background_fill_color='white',
                         text_color='black',text_font_size='10pt',
                         )
-    
+
 
     plot.add_layout(binlabel)
     plot.add_layout(sliderlabel)
@@ -3051,7 +3052,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
 
 
     return [script,div]
-        
+
 def interactive_cum_flex_chart2(theworkouts,promember=0,
                                 xparam='spm',
                                 yparam1='power',
@@ -3093,7 +3094,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
     except KeyError:
         datadf['power'] = 50.
 
-    
+
     yparamname1 = axlabels[yparam1]
     if yparam2 != 'None':
         yparamname2 = axlabels[yparam2]
@@ -3140,13 +3141,13 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
 
     # average values
     x1mean = datadf['x1'].mean()
-        
+
     y1mean = datadf['y1'].mean()
     y2mean = datadf['y2'].mean()
 
 
     xvals = pd.Series(xaxmin+np.arange(100)*(xaxmax-xaxmin)/100.)
-        
+
     x_axis_type = 'linear'
     y_axis_type = 'linear'
     if xparam == 'time':
@@ -3187,7 +3188,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -3223,14 +3224,14 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
                    background_fill_color='white',
                    text_color='green',
     )
-    
+
     sliderlabel = Label(x=10,y=470,x_units='screen',y_units='screen',
                         text='',
                         background_fill_alpha=0.7,
                         background_fill_color='white',
                         text_color='black',text_font_size='10pt',
                         )
-    
+
 
     plot.add_layout(x1means)
     plot.add_layout(xlabel)
@@ -3251,7 +3252,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
     plot.circle('x1','y1',source=source2,fill_alpha=0.3,line_color=None,
                  legend=yparamname1,
                  )
-        
+
     plot.xaxis.axis_label = axlabels[xparam]
     plot.yaxis.axis_label = axlabels[yparam1]
 
@@ -3275,7 +3276,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
         plot.circle('x1','y2',color="red",y_range_name="yax2",
                     legend=yparamname2,
                     source=source2,fill_alpha=0.3,line_color=None)
-        
+
         plot.add_layout(LinearAxis(y_range_name="yax2",
                                    axis_label=axlabels[yparam2]),'right')
 
@@ -3317,7 +3318,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
        var yname1 = data['yname1'][0]
        var yname2 = data['yname2'][0]
        var workoutid1 = data['workoutid'][0]
-       
+
        var minspm = minspm.value
        var maxspm = maxspm.value
        var mindist = mindist.value
@@ -3398,16 +3399,16 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
     slider_spm_min = Slider(start=15.0, end=55,value=15.0, step=.1,
                 title="Min SPM",callback=callback)
     callback.args["minspm"] = slider_spm_min
-    
+
 
     slider_spm_max = Slider(start=15.0, end=55,value=55.0, step=.1,
                 title="Max SPM",callback=callback)
     callback.args["maxspm"] = slider_spm_max
-    
+
     slider_work_min = Slider(start=0.0, end=1500,value=0.0, step=10,
                 title="Min Work per Stroke",callback=callback)
     callback.args["minwork"] = slider_work_min
-    
+
 
     slider_work_max = Slider(start=0.0, end=1500,value=1500.0, step=10,
                 title="Max Work per Stroke",callback=callback)
@@ -3417,11 +3418,11 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
         distmax = 100+100*int(datadf['distance'].max()/100.)
     except KeyError:
         distmax = 1000.
-        
+
     slider_dist_min = Slider(start=0,end=distmax,value=0,step=50,
                              title="Min Distance",callback=callback)
     callback.args["mindist"] = slider_dist_min
-    
+
     slider_dist_max = Slider(start=0,end=distmax,value=distmax,
                              step=50,
                              title="Max Distance",callback=callback)
@@ -3443,7 +3444,7 @@ def interactive_cum_flex_chart2(theworkouts,promember=0,
     js_resources = INLINE.render_js()
     css_resources = INLINE.render_css()
 
- 
+
 
     return [script,div,js_resources,css_resources]
 
@@ -3460,7 +3461,7 @@ def interactive_flex_chart2(id=0,promember=0,
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -3469,7 +3470,7 @@ def interactive_flex_chart2(id=0,promember=0,
     watermarkh = 35
     watermarkanchor = 'bottom_right'
 
-    
+
     #rowdata,row = dataprep.getrowdata_db(id=id)
     columns = [xparam,yparam1,yparam2,
                'ftime','distance','fpace',
@@ -3494,12 +3495,12 @@ def interactive_flex_chart2(id=0,promember=0,
         yparam2 = 'None'
 
 
-        
+
     try:
         tests = rowdata[yparam1]
     except KeyError:
         yparam1 = 'None'
-        
+
 
     # test if we have drive energy
     nowork = 1
@@ -3519,7 +3520,7 @@ def interactive_flex_chart2(id=0,promember=0,
 
     # replace nans
     rowdata.fillna(value=0,inplace=True)
-        
+
     row = Workout.objects.get(id=id)
     if rowdata.empty:
         return "","No valid data",'','',workstrokesonly
@@ -3544,7 +3545,7 @@ def interactive_flex_chart2(id=0,promember=0,
     except KeyError:
         return '','No time data - cannot make flex plot','','',workstrokesonly
 
-    
+
     try:
         rowdata['x1'] = rowdata.loc[:,xparam]
         rowmin = rowdata[xparam].min()
@@ -3557,7 +3558,7 @@ def interactive_flex_chart2(id=0,promember=0,
     except KeyError:
         rowdata['y1'] = 0*rowdata.loc[:,'time']
         rowdata[yparam1] = rowdata['y1']
-        
+
     if yparam2 != 'None':
         try:
             rowdata['y2'] = rowdata.loc[:,yparam2]
@@ -3590,7 +3591,7 @@ def interactive_flex_chart2(id=0,promember=0,
             x1mean = 0
     else:
         x1mean = 0
-        
+
     y1mean = rowdata['y1'].mean()
     y2mean = rowdata['y2'].mean()
 
@@ -3603,7 +3604,7 @@ def interactive_flex_chart2(id=0,promember=0,
     if yparam1 == 'driveenergy':
         if xparam == 'spm':
             yconstantpower = rowdata['y1'].mean()*rowdata['x1'].mean()/xvals
-        
+
     x_axis_type = 'linear'
     y_axis_type = 'linear'
     if xparam == 'time':
@@ -3632,7 +3633,7 @@ def interactive_flex_chart2(id=0,promember=0,
     else:
         rowdata['yname2'] = rowdata['yname1']
 
-        
+
     # prepare data
     source = ColumnDataSource(
         rowdata
@@ -3642,7 +3643,7 @@ def interactive_flex_chart2(id=0,promember=0,
     source2 = ColumnDataSource(
         rowdata.copy()
         )
-    
+
     # Add hover to this comma-separated string and see what changes
     if (promember==1):
         TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
@@ -3655,14 +3656,14 @@ def interactive_flex_chart2(id=0,promember=0,
                   tools=TOOLS,toolbar_location='above',
                   toolbar_sticky=False
                   )
-                                   
+
 
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -3684,7 +3685,7 @@ def interactive_flex_chart2(id=0,promember=0,
                    x_range_name = "watermark",
                    y_range_name = "watermark",
                    )
-    
+
     x1means = Span(location=x1mean,dimension='height',line_color='green',
                    line_dash=[6,6], line_width=2)
 
@@ -3698,7 +3699,7 @@ def interactive_flex_chart2(id=0,promember=0,
         )
     except KeyError:
         xlabeltext = xparam+": {x1mean:6.2f}".format(x1mean=x1mean)
-        
+
     xlabel = Label(x=50,y=80,x_units='screen',y_units='screen',
                    text=xlabeltext,
                    background_fill_alpha=.7,
@@ -3719,7 +3720,7 @@ def interactive_flex_chart2(id=0,promember=0,
                         background_fill_color='white',
                         text_color='black',text_font_size='10pt',
                         )
-    
+
 
     if (xparam != 'time') and (xparam != 'distance') and (xparam != 'cumdist'):
         plot.add_layout(x1means)
@@ -3749,7 +3750,7 @@ def interactive_flex_chart2(id=0,promember=0,
     if yparam1 != 'time' and yparam1 != 'pace':
         plot.add_layout(y1label)
     y2label = y1label
-    
+
     # average values
     if yparam1 == 'driveenergy':
         if xparam == 'spm':
@@ -3766,7 +3767,7 @@ def interactive_flex_chart2(id=0,promember=0,
 
     plot.sizing_mode = 'scale_width'
     plot.xaxis.axis_label = xaxlabel
-        
+
     plot.yaxis.axis_label = yaxlabel
 
 
@@ -3787,7 +3788,7 @@ def interactive_flex_chart2(id=0,promember=0,
         except KeyError:
             xrange1 = Range1d(start=rowdata[xparam].min(),
                               end=rowdata[xparam].max())
-            
+
         plot.x_range = xrange1
 
     if xparam == 'time':
@@ -3809,7 +3810,7 @@ def interactive_flex_chart2(id=0,promember=0,
                 minutes = ["%M"]
             )
 
-        
+
     if yparam2 != 'None':
         try:
             yrange2 = Range1d(start=yaxminima[yparam2],
@@ -3817,7 +3818,7 @@ def interactive_flex_chart2(id=0,promember=0,
         except KeyError:
             yrange2 = Range1d(start=rowdata[yparam2].min(),
                               end=rowdata[yparam2].max())
-            
+
         plot.extra_y_ranges["yax2"] = yrange2
         #= {"yax2": yrange2}
         try:
@@ -3834,7 +3835,7 @@ def interactive_flex_chart2(id=0,promember=0,
             plot.scatter('x1','y2',source=source2,legend=axlegend,
                          fill_alpha=0.4,
                          line_color=None,color="red",y_range_name="yax2")
-        
+
         plot.add_layout(LinearAxis(y_range_name="yax2",
                                    axis_label=axlegend),'right')
 
@@ -3863,10 +3864,10 @@ def interactive_flex_chart2(id=0,promember=0,
         ('SPM','@spm{1.1}'),
         ('Power','@power{int}'),
         ])
- 
+
     hover.mode = 'mouse'
 
-    
+
     callback = CustomJS(args = dict(source=source,source2=source2,
                                     x1means=x1means,
                                     y1means=y1means,
@@ -3898,7 +3899,7 @@ def interactive_flex_chart2(id=0,promember=0,
        var workoutid1 = data['workoutid'][0]
        var workoutstate1 = data['workoutstate'][0]
 
-       
+
        var annotation = annotation.value
        var minspm = minspm.value
        var maxspm = maxspm.value
@@ -3936,7 +3937,7 @@ def interactive_flex_chart2(id=0,promember=0,
        data2['xname'] = []
        data2['yname1'] = []
        data2['yname2'] = []
-       
+
 
        for (i=0; i<x1.length; i++) {
           if (spm1[i]>=minspm && spm1[i]<=maxspm) {
@@ -3993,23 +3994,23 @@ def interactive_flex_chart2(id=0,promember=0,
        source2.change.emit();
        """)
 
-    annotation = TextInput(title="Type your plot notes here", value="", 
+    annotation = TextInput(title="Type your plot notes here", value="",
                            callback=callback)
     callback.args["annotation"] = annotation
-    
+
     slider_spm_min = Slider(start=15.0, end=55,value=15.0, step=.1,
                 title="Min SPM",callback=callback)
     callback.args["minspm"] = slider_spm_min
-    
+
 
     slider_spm_max = Slider(start=15.0, end=55,value=55.0, step=.1,
                 title="Max SPM",callback=callback)
     callback.args["maxspm"] = slider_spm_max
-    
+
     slider_work_min = Slider(start=0.0, end=1500,value=0.0, step=10,
                 title="Min Work per Stroke",callback=callback)
     callback.args["minwork"] = slider_work_min
-    
+
 
     slider_work_max = Slider(start=0.0, end=1500,value=1500.0, step=10,
                 title="Max Work per Stroke",callback=callback)
@@ -4019,7 +4020,7 @@ def interactive_flex_chart2(id=0,promember=0,
         distmax = 100+100*int(rowdata['distance'].max()/100.)
     except (KeyError,ValueError):
         distmax = 100
-        
+
     slider_dist_min = Slider(start=0,end=distmax,value=0,step=50,
                              title="Min Distance",callback=callback)
     callback.args["mindist"] = slider_dist_min
@@ -4062,7 +4063,7 @@ def thumbnails_set(r,id,favorites):
 
     columns += ['time']
     rowdata = dataprep.getsmallrowdata_db(columns,ids=[id],doclean=True)
-        
+
     rowdata.dropna(axis=1,how='all',inplace=True)
 
     if rowdata.empty:
@@ -4082,7 +4083,7 @@ def thumbnails_set(r,id,favorites):
              'div':"",
              'notes':""
              }]
-        
+
     #    else:
     #        try:
     #            rowdata.sort_values(by='time',ascending=True,inplace=True)
@@ -4095,7 +4096,7 @@ def thumbnails_set(r,id,favorites):
         bins = np.linspace(rowdata['time'].min(),rowdata['time'].max(),maxlength)
         groups = rowdata.groupby(np.digitize(rowdata['time'],bins))
         rowdata = groups.mean()
-        
+
     for f in favorites:
         workstrokesonly = not f.reststrokes
         script,div = thumbnail_flex_chart(
@@ -4114,7 +4115,7 @@ def thumbnails_set(r,id,favorites):
             'notes':f.notes})
 
     return charts
-        
+
 
 def thumbnail_flex_chart(rowdata,id=0,promember=0,
                          xparam='time',
@@ -4133,7 +4134,7 @@ def thumbnail_flex_chart(rowdata,id=0,promember=0,
         tests = rowdata[yparam1]
     except KeyError:
         yparam1 = 'None'
-        
+
 
 
     try:
@@ -4141,7 +4142,7 @@ def thumbnail_flex_chart(rowdata,id=0,promember=0,
     except KeyError:
         return '','No time data - cannot make flex plot'
 
-    
+
     try:
         rowdata['x1'] = rowdata.loc[:,xparam]
     except KeyError:
@@ -4201,7 +4202,7 @@ def thumbnail_flex_chart(rowdata,id=0,promember=0,
     plot = Figure(x_axis_type=x_axis_type,y_axis_type=y_axis_type,
                   plot_width=200,plot_height=150,
                   )
-                                   
+
 
 
 #    plot.sizing_mode = 'scale_width'
@@ -4234,7 +4235,7 @@ def thumbnail_flex_chart(rowdata,id=0,promember=0,
         yrange1 = Range1d(start=yaxminima[yparam1],end=yaxmaxima[yparam1])
     except KeyError:
         yrange1 = Range1d(start=yparam1.min(), end=yparam1.max())
-        
+
     plot.y_range = yrange1
 
     if (xparam != 'time') and (xparam != 'distance') and (xparam != 'cumdist'):
@@ -4260,7 +4261,7 @@ def thumbnail_flex_chart(rowdata,id=0,promember=0,
                 minutes = ["%M"]
             )
 
-        
+
     if yparam2 != 'None':
         yrange2 = Range1d(start=yaxminima[yparam2],end=yaxmaxima[yparam2])
         plot.extra_y_ranges["yax2"] = yrange2
@@ -4274,7 +4275,7 @@ def thumbnail_flex_chart(rowdata,id=0,promember=0,
             plot.scatter('x1','y2',source=source,
                          fill_alpha=0.4,
                          line_color=None,color="red",y_range_name="yax2")
-        
+
         plot.add_layout(LinearAxis(y_range_name="yax2",
                                    axis_label=axlabels[yparam2],
                                    major_label_text_font_size="7pt",
@@ -4302,7 +4303,7 @@ def interactive_bar_chart(id=0,promember=0):
         TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
     else:
         TOOLS = 'pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
-    
+
     source = ColumnDataSource(
         rowdata
         )
@@ -4316,7 +4317,7 @@ def interactive_bar_chart(id=0,promember=0):
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -4363,7 +4364,7 @@ def interactive_bar_chart(id=0,promember=0):
     if row.workouttype == 'water':
         ymax = 1.0e3*90
         ymin = 1.0e3*210
-    
+
     plot.y_range = Range1d(ymin,ymax)
 
 
@@ -4376,7 +4377,7 @@ def interactive_bar_chart(id=0,promember=0):
         ('HR','@hr{int}'),
         ('SPM','@spm{1.1}'),
         ])
- 
+
     hover.mode = 'mouse'
 
     plot.extra_y_ranges["hr"] = Range1d(start=100,end=200)
@@ -4404,7 +4405,7 @@ def interactive_bar_chart(id=0,promember=0):
 
     plot.line('time','pace',source=source,legend="Pace",color="black")
 
- 
+
     script, div = components(plot)
 
     return [script,div]
@@ -4415,7 +4416,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
 
     message = ''
     errormessage = ''
-    
+
     columns = [xparam,yparam,
                'ftime','distance','fpace',
                'power','hr','spm',
@@ -4426,7 +4427,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
     datadf.dropna(axis=1,how='all',inplace=True)
     datadf.dropna(axis=0,how='any',inplace=True)
 
-    
+
     nrworkouts = len(ids)
 
     try:
@@ -4436,13 +4437,13 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
             tseconds = datadf.loc[:,xparam]
         except:
             return ['','<p>A chart data error occurred</p>','','A chart data error occurred']
-            
+
     yparamname = axlabels[yparam]
 
     #datadf = datadf[datadf[yparam] > 0]
-        
+
     #datadf = datadf[datadf[xparam] > 0]
-        
+
     # check if dataframe not empty
     if datadf.empty:
         return ['','<p>No non-zero data in selection</p>','','No non-zero data in selection']
@@ -4466,7 +4467,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
     else:
         yaxmin = yaxminima[yparam]
         yaxmax = yaxmaxima[yparam]
-        
+
     x_axis_type = 'linear'
     y_axis_type = 'linear'
 
@@ -4480,7 +4481,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
         y_axis_type = 'datetime'
         yaxmax = 90.*1e3
         yaxmin = 150.*1e3
-        
+
     if xparam == 'time':
         x_axis_type = 'datetime'
 
@@ -4499,7 +4500,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -4532,11 +4533,11 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
         items = itertools.izip(ids,colors)
     except AttributeError:
         items = zip(ids,colors)
-        
+
     for id,color in items:
         group = datadf[datadf['workoutid']==int(id)].copy()
 
-        
+
         group.sort_values(by='time',ascending=True,inplace=True)
         try:
             group['x'] = group[xparam]
@@ -4548,7 +4549,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
         except KeyError:
             group['y'] = 0.0*group['x']
 
-            
+
         ymean = group['y'].mean()
         ylabel = Label(x=100,y=60+nrworkouts*20-20*cntr,
                        x_units='screen',y_units='screen',
@@ -4579,7 +4580,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
             legend=labeldict[id]
         else:
             legend=str(id)
-            
+
         if plottype=='line':
             l1.append(plot.line('x','y',source=source,color=color,legend=legend,line_width=2))
         else:
@@ -4599,7 +4600,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
 
     yrange1 = Range1d(start=yaxmin,end=yaxmax)
     plot.y_range = yrange1
-        
+
     if xparam == 'time':
         xrange1 = Range1d(start=xaxmin,end=xaxmax)
         plot.x_range = xrange1
@@ -4618,7 +4619,7 @@ def interactive_multiple_compare_chart(ids,xparam,yparam,plottype='line',
                 seconds = ["%S"],
                 minutes = ["%M"]
             )
-        
+
     script, div = components(plot)
 
     return [script,div,message,errormessage]
@@ -4635,7 +4636,7 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
                'ftime','distance','fpace',
                'power','hr','spm',
                'time','pace','workoutstate']
-    
+
     # check if valid ID exists (workout exists)
     #rowdata1,row1 = dataprep.getrowdata_db(id=id1)
     #rowdata2,row2 = dataprep.getrowdata_db(id=id2)
@@ -4664,7 +4665,7 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
         return "","No Valid Data Available"
 #    else:
 #        rowdata1.sort_values(by='time',ascending=True,inplace=True)
-    
+
     if rowdata2.empty:
         return "","No Valid Data Available"
 #    else:
@@ -4740,18 +4741,18 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
         ).dropna()
 
 
-    
+
     source1 = ColumnDataSource(
-        data1 
+        data1
         )
 
     source2 = ColumnDataSource(
-        data2 
+        data2
         )
 
     ymean1 = data1['y1'].mean()
     ymean2 = data2['y2'].mean()
-    
+
     # create interactive plot
     plot = Figure(x_axis_type=x_axis_type,y_axis_type=y_axis_type,
                   tools=TOOLS,
@@ -4762,7 +4763,7 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -4784,21 +4785,21 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
                    x_range_name = "watermark",
                    y_range_name = "watermark",
                    )
-    
+
     TIPS = OrderedDict([
         ('time','@ftime1'),
         ('pace','@fpace1'),
         ('hr','@hr1'),
         ('spm','@spm1{1.1}'),
         ('distance','@distance1{5}'),
-        ]) 
+        ])
     TIPS2 = OrderedDict([
         ('time','@ftime2'),
         ('pace','@fpace2'),
         ('hr','@hr2'),
         ('spm','@spm2{1.1}'),
         ('distance','@distance2{5}'),
-        ]) 
+        ])
 
 
 
@@ -4806,8 +4807,8 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
     hover1.tooltips = TIPS
     hover2 = plot.select(type=HoverTool)
     hover2.tooltips = TIPS2
-    
- 
+
+
     if plottype=='line':
         l1 = plot.line('x1','y1',source=source1,
                        color="blue",legend=row1.name,
@@ -4870,7 +4871,7 @@ def interactive_comparison_chart(id1=0,id2=0,xparam='distance',yparam='spm',
 
         plot.y_range = Range1d(ymin,ymax)
 
-        
+
     script, div = components(plot)
 
     return [script,div]
@@ -4894,8 +4895,8 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
         rowdata
         )
 
-    
-    
+
+
 
 
     plot = Figure(x_axis_type="datetime",y_axis_type="datetime",
@@ -4907,7 +4908,7 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
     watermarkurl = "/static/img/logo7.png"
     watermarksource = ColumnDataSource(dict(
         url = [watermarkurl],))
-    
+
     watermarkrange = Range1d(start=0,end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -4949,7 +4950,7 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
 
     ymax = 1.0e3*90
     ymin = 1.0e3*210
-    
+
     plot.y_range = Range1d(ymin,ymax)
 
 
@@ -4965,7 +4966,7 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
         ('HR','@hr{int}'),
         ('SPM','@spm{1.1}'),
         ])
- 
+
     hover.mode = 'mouse'
 
     try:
@@ -4975,4 +4976,3 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
         div = ''
 
     return [script,div]
-
diff --git a/rowers/tests/test_units.py b/rowers/tests/test_units.py
index dabd31c6..82e3b428 100644
--- a/rowers/tests/test_units.py
+++ b/rowers/tests/test_units.py
@@ -121,6 +121,41 @@ class ForceUnits(TestCase):
         average_N = int(df['averageforce'].mean())
         self.assertEqual(average_N,267)
 
+def test_upload_speedcoach_colin(self):
+    login = self.c.login(username=self.u.username, password=self.password)
+    self.assertTrue(login)
+
+    filename = 'rowers/tests/testdata/colinforce.csv'
+    f = open(filename,'rb')
+    file_data = {'file': f}
+    form_data = {
+    'title':'test',
+    'workouttype':'rower',
+    'boattype':'1x',
+    'notes':'aap noot mies',
+    'make_plot':False,
+    'upload_to_c2':False,
+    'plottype':'timeplot',
+    'file': f,
+    }
+
+    form = DocumentsForm(form_data,file_data)
+    response = self.c.post('/rowers/workout/upload/', form_data, follow=True)
+
+    self.assertRedirects(response, expected_url='/rowers/workout/'+encoded1+'/edit/',
+                         status_code=302,target_status_code=200)
+
+    self.assertEqual(response.status_code, 200)
+
+    f.close()
+
+    w = Workout.objects.get(id=1)
+    self.assertEqual(w.forceunit,'lbs')
+
+    df = dataprep.getsmallrowdata_db(['averageforce'],ids=[1])
+    average_N = int(df['averageforce'].mean())
+    self.assertEqual(average_N,106)
+
 @override_settings(TESTING=True)
 class TestForceUnit(TestCase):
     def setUp(self):
diff --git a/rowers/tests/testdata/colinforce.csv b/rowers/tests/testdata/colinforce.csv
new file mode 100644
index 00000000..46b42ed5
--- /dev/null
+++ b/rowers/tests/testdata/colinforce.csv
@@ -0,0 +1,1472 @@
+Session Information:,,,,Device Information:,,,,Oarlock Information:,,,,Oarlock Settings:
+
+Name:,JustGo-9.617KM,,,Name:,6-2019-SpdCch2429518,,,Firmware:,001.01.01,,,Boat ID:,BOAT1
+Start Time:,10/31/19 08:57am,,,Model:,SpeedCoach GPS Pro,,,,,,,Seat Number:,1
+Type:,Just Go,,,Serial:,2429518,,,,,,,Port Starboard:,Starboard
+System of Units:,Kilometers/Split500,,,Firmware Version:,2.22,,,,,,,Oar Length:,279
+Speed Input:,Impeller,,,Profile Version:,0.03,,,,,,,Inboard Length:,87
+,,,,Hardware Version:,Rev 11
+,,,,LiNK Version:,1.30
+
+
+Session Summary:
+
+Total Intervals,Total Distance (GPS),Total Distance (IMP),Total Elapsed Time,Avg Split (GPS),Avg Speed (GPS),Avg Split (IMP),Avg Speed (IMP),Avg Stroke Rate,Total Strokes,Distance/Stroke (GPS),Distance/Stroke (IMP),Avg Heart Rate,Avg Power,Avg Catch,Avg Slip,Avg Finish,Avg Wash,Avg Force Avg,Avg Work,Avg Force Max,Avg Max Force Angle,Start GPS Lat.,Start GPS Lon.
+(Interval),(Kilometers),(Kilometers),(HH:MM:SS.tenths),(/500),(KPH),(/500),(KPH),(SPM),(Strokes),(Meters),(Meters),(BPM),(Watts),(Degrees),(Degrees),(Degrees),(Degrees),(Newtons),(Joules),(Newtons),(Degrees),(Degrees),(Degrees)
+1,9.719,9.617,01:19:58.4,00:04:06.8,7.292,00:04:10.0,7.200,20.0,1177,8.3,8.2,132,55,-36,9,35,19,106,164,216,0,27.18158460,-82.49561770
+
+
+Interval Summaries:
+
+Interval,Total Distance (GPS),Total Distance (IMP),Total Elapsed Time,Avg Split (GPS),Avg Speed (GPS),Avg Split (IMP),Avg Speed (IMP),Avg Stroke Rate,Total Strokes,Distance/Stroke (GPS),Distance/Stroke (IMP),Avg Heart Rate,Avg Power,Avg Catch,Avg Slip,Avg Finish,Avg Wash,Avg Force Avg,Avg Work,Avg Force Max,Avg Max Force Angle,Start GPS Lat.,Start GPS Lon.
+(Interval),(Kilometers),(Kilometers),(HH:MM:SS.tenths),(/500),(KPH),(/500),(KPH),(SPM),(Strokes),(Meters),(Meters),(BPM),(Watts),(Degrees),(Degrees),(Degrees),(Degrees),(Newtons),(Joules),(Newtons),(Degrees),(Degrees),(Degrees)
+1,9.719,9.617,01:19:58.4,00:04:06.8,7.292,00:04:10.0,7.200,20.0,1177,8.3,8.2,131,55,-36,9,35,19,106,164,216,0,27.18158460,-82.49561770
+
+
+
+Per-Stroke Data:
+
+Interval,Distance (GPS),Distance (IMP),Elapsed Time,Split (GPS),Speed (GPS),Split (IMP),Speed (IMP),Stroke Rate,Total Strokes,Distance/Stroke (GPS),Distance/Stroke (IMP),Heart Rate,Power,Catch,Slip,Finish,Wash,Force Avg,Work,Force Max,Max Force Angle,GPS Lat.,GPS Lon.
+(Interval),(Kilometers),(Kilometers),(HH:MM:SS.tenths),(/500),(KPH),(/500),(KPH),(SPM),(Strokes),(Meters),(Meters),(BPM),(Watts),(Degrees),(Degrees),(Degrees),(Degrees),(Newtons),(Joules),(Newtons),(Degrees),(Degrees),(Degrees)
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