diff --git a/rowers/interactiveplots.py b/rowers/interactiveplots.py
index c4a92124..3cb67bd8 100644
--- a/rowers/interactiveplots.py
+++ b/rowers/interactiveplots.py
@@ -6557,3 +6557,200 @@ def interactive_otw_advanced_pace_chart(id=0,promember=0):
         div = ''
 
     return [script,div]
+
+def get_zones_report(rower,startdate,enddate):
+    duration = enddate-startdate
+
+    totaldays = duration.total_seconds()/(24*3600)
+
+    dates = []
+    dates_sorting = []
+    minutes = []
+    zones = []
+
+    workouts = Workout.objects.filter(
+        user=rower,
+        startdatetime__gte=startdate,
+        startdatetime__lte=enddate,
+        duplicate=False,
+    ).order_by("-startdatetime")
+
+    ids = [w.id for w in workouts]
+
+    columns = ['workoutid','hr','power','time']
+
+    df = dataprep.getsmallrowdata_db(columns,ids=ids)
+    try:
+        df['deltat'] = df['time'].diff().clip(lower=0)
+    except KeyError:
+        pass
+
+    df = dataprep.clean_df_stats(df,workstrokesonly=False,
+                                     ignoreadvanced=True,ignorehr=False)
+
+    #totalmeters,totalhours, totalminutes, totalseconds = get_totals(workouts)
+
+    hrzones = rower.hrzones
+
+    for w in workouts:
+        dd = w.date.strftime('%m/%d')
+        dd2 = w.date.strftime('%Y/%m/%d')
+        dd3 = w.date.strftime('%Y/%m')
+
+        qryw = 'workoutid == {workoutid}'.format(workoutid=w.id)
+
+        qry = 'hr < {ut2}'.format(ut2=rower.ut2)
+        timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
+        if totaldays<30:
+            dates.append(dd)
+            dates_sorting.append(dd2)
+        else: # pragma: no cover
+            dates.append(dd3)
+            dates_sorting.append(dd3)
+        minutes.append(timeinzone)
+        zones.append('<UT2')
+        #print(w,dd,timeinzone,'<UT2')
+
+        qry = '{ut2} <= hr < {ut1}'.format(ut1=rower.ut1,ut2=rower.ut2)
+        timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
+        if totaldays<30:
+            dates.append(dd)
+            dates_sorting.append(dd2)
+        else: # pragma: no cover
+            dates.append(dd3)
+            dates_sorting.append(dd3)
+        minutes.append(timeinzone)
+        zones.append('UT2')
+        #print(w,dd,timeinzone,'UT2')
+
+        qry = '{ut1} <= hr < {at}'.format(ut1=rower.ut1,at=rower.at)
+        timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
+        if totaldays<30:
+            dates.append(dd)
+            dates_sorting.append(dd2)
+        else: # pragma: no cover
+            dates.append(dd3)
+            dates_sorting.append(dd3)
+        minutes.append(timeinzone)
+        zones.append('UT1')
+        #print(w,dd,timeinzone,'UT1')
+
+        qry = '{at} <= hr < {tr}'.format(at=rower.at,tr=rower.tr)
+        timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
+        if totaldays<30:
+            dates.append(dd)
+            dates_sorting.append(dd2)
+        else: # pragma: no cover
+            dates.append(dd3)
+            dates_sorting.append(dd3)
+        minutes.append(timeinzone)
+        zones.append('AT')
+        #print(w,dd,timeinzone,'AT')
+
+        qry = '{tr} <= hr < {an}'.format(tr=rower.tr,an=rower.an)
+        timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
+        if totaldays<30:
+            dates.append(dd)
+            dates_sorting.append(dd2)
+        else: # pragma: no cover
+            dates.append(dd3)
+            dates_sorting.append(dd3)
+        minutes.append(timeinzone)
+        zones.append('TR')
+        #print(w,dd,timeinzone,'TR')
+
+        qry = 'hr >= {an}'.format(an=rower.an)
+        timeinzone = df.query(qry).query(qryw)['deltat'].sum()/(60*1e3)
+        if totaldays<30:
+            dates.append(dd)
+            dates_sorting.append(dd2)
+        else: # pragma: no cover
+            dates.append(dd3)
+            dates_sorting.append(dd3)
+        minutes.append(timeinzone)
+        zones.append('AN')
+        #print(w,dd,timeinzone,'AN')
+
+    try:
+        d = utc.localize(startdate)
+    except (ValueError,AttributeError): # pragma: no cover
+        d = startdate
+
+    try:
+        enddate = utc.localize(enddate)
+    except (ValueError,AttributeError): # pragma: no cover
+        pass
+
+    while d<=enddate:
+        dd = d.strftime('%d')
+        if totaldays < 30:
+            dates.append(d.strftime('%m/%d'))
+            dates_sorting.append(d.strftime('%Y/%m/%d'))
+        else:
+            dates.append(d.strftime('%Y/%m'))
+            dates_sorting.append(d.strftime('%Y/%m'))
+
+        minutes.append(0)
+        zones.append('<UT2')
+
+        d += datetime.timedelta(days=1)
+
+    # this should be renamed with rower zones
+    data = {
+        'date':dates,
+        'date_sorting':dates_sorting,
+        'minutes': minutes,
+        'zones':zones,
+        }
+
+    #print(pd.DataFrame(data).head())
+
+    return data
+
+def interactive_zoneschart(data,startdate,enddate):
+    duration = enddate-startdate
+
+    totaldays = duration.total_seconds()/(24*3600)
+
+    colors = ['gray','yellow','lime','blue','purple','red']
+
+    df = pd.DataFrame(data)
+
+    source = ColumnDataSource(df)
+
+    df.sort_values('date_sorting',inplace=True)
+
+    hv.extension('bokeh')
+
+
+    table = hv.Table(df,[
+        ('date','Date'),
+        ('minutes','minutes'),
+        ('zones','zones')]
+                     )
+
+    bars = hv.Bars(df, kdims = ['date','zones']).aggregate(function=np.sum)
+
+    #bars = table.to.bars(['date','zones'],['minutes'])
+    bars.opts(
+        opts.Bars(cmap=colors,show_legend=True,stacked=True,
+                  tools=['tap','hover'],width=550,xrotation=45,padding=(0,(0,.1)),
+                  legend_position='bottom',show_frame=False)
+    )
+
+    p = hv.render(bars)
+
+    p.title.text = 'Activity {d1} to {d2}'.format(
+                d1 = startdate.strftime("%Y-%m-%d"),
+                d2 = enddate.strftime("%Y-%m-%d"),
+                )
+
+    p.plot_width=550
+    p.plot_height=350
+    p.toolbar_location = 'above'
+    p.y_range.start = 0
+    p.sizing_mode = 'stretch_both'
+
+    script,div = components(p)
+
+    return script,div
diff --git a/rowers/templates/trainingzones.html b/rowers/templates/trainingzones.html
new file mode 100644
index 00000000..ccf4051a
--- /dev/null
+++ b/rowers/templates/trainingzones.html
@@ -0,0 +1,35 @@
+{% extends "newbase.html" %}
+{% load static %}
+{% load rowerfilters %}
+
+{% block title %}Rowsandall Training Plans{% endblock %}
+
+
+{% block main %}
+<script src="https://cdn.pydata.org/bokeh/release/bokeh-2.2.3.min.js"></script>
+<script src="https://cdn.pydata.org/bokeh/release/bokeh-widgets-2.2.3.min.js"></script>
+<script async="true" type="text/javascript">
+  Bokeh.set_log_level("info");
+</script>
+
+
+<h1>Training Zones</h1>
+
+{{ the_script | safe }}
+
+<ul class="main-content">
+  <li class="grid_4">
+    <div id="theplot" class="flexplot">
+      {{ the_div|safe }}
+    </div>
+  </li>
+</ul>
+
+{% endblock %}
+
+{% block scripts %}
+{% endblock %}
+
+{% block sidebar %}
+{% include 'menu_plan.html' %}
+{% endblock %}
diff --git a/rowers/tests/testdata/testdata.tcx.gz b/rowers/tests/testdata/testdata.tcx.gz
index 887f897c..a7bf26c3 100644
Binary files a/rowers/tests/testdata/testdata.tcx.gz and b/rowers/tests/testdata/testdata.tcx.gz differ
diff --git a/rowers/urls.py b/rowers/urls.py
index 82a7cc1b..61b6ee7e 100644
--- a/rowers/urls.py
+++ b/rowers/urls.py
@@ -352,6 +352,8 @@ urlpatterns = [
     re_path(r'^performancemanager/$',views.performancemanager_view,name='performancemanager_view'),
     re_path(r'^performancemanager/user/(?P<userid>\d+)/$',views.performancemanager_view,name='performancemanager_view'),
     re_path(r'^performancemanager/user/(?P<userid>\d+)/(?P<mode>\w+.*)/$',views.performancemanager_view,name='performancemanager_view'),
+    re_path(r'^trainingzones/$',views.trainingzones_view,name='trainingzones_view'),
+    re_path(r'^trainingzones/user/(?P<userid>\d+)/$',views.trainingzones_view,name='trainingzones_view'),
     re_path(r'^ote-bests2/user/(?P<userid>\d+)/$',views.rankings_view2,name='rankings_view2'),
     re_path(r'^ote-bests2/$',views.rankings_view2,name='rankings_view2'),
     re_path(r'^analysisdata/$',views.analysis_view_data,name='analysis_view_data'),
diff --git a/rowers/views/analysisviews.py b/rowers/views/analysisviews.py
index 365bf5dd..3641bce5 100644
--- a/rowers/views/analysisviews.py
+++ b/rowers/views/analysisviews.py
@@ -1049,6 +1049,48 @@ def goldmedalscores_view(request,userid=0,
                       'bestworkouts':bestworkouts,
                   })
 
+@user_passes_test(ispromember, login_url="/rowers/paidplans",
+                  message="This functionality requires a Pro plan or higher. If you are already a Pro user, please log in to access this functionality",
+                  redirect_field_name=None)
+@permission_required('rower.is_coach',fn=get_user_by_userid,raise_exception=True)
+def trainingzones_view(request,userid=0,mode='rower',
+                            startdate=timezone.now()-timezone.timedelta(days=365),
+                            enddate=timezone.now()):
+
+    is_ajax = request_is_ajax(request)
+
+    r = getrequestrower(request,userid=userid)
+
+    startdate,enddate = get_dates_timeperiod(request)
+    enddate = timezone.now()
+    startdate = enddate-datetime.timedelta(days=29)
+
+    data = get_zones_report(r,startdate,enddate)
+
+
+    script, div = interactive_zoneschart(data,startdate,enddate)
+
+    breadcrumbs = [
+        {
+            'url':'/rowers/analysis',
+            'name':'Analysis'
+        },
+        {
+            'url':reverse('trainingzones_view'),
+            'name': 'Training Zones'
+        }
+    ]
+
+    return render(request,'trainingzones.html',
+                  {
+                      'active':'nav-analysis',
+                      'breadcrumbs':breadcrumbs,
+                      'rower':r,
+                      'the_script':script,
+                      'the_div':div,
+                  }
+                  )
+
 
 @user_passes_test(ispromember, login_url="/rowers/paidplans",
                   message="This functionality requires a Pro plan or higher. If you are already a Pro user, please log in to access this functionality",