small improvement coordinates

rowers/forms.py

@@ -53,7 +53,7 @@ class FlexibleDecimalField(forms.DecimalField):
 
 # Video Analysis creation form
 class VideoAnalysisCreateForm(forms.Form):
-    name = forms.CharField(max_length=255,label='')
+    name = forms.CharField(max_length=255,label='Analysis Name')
     url = forms.CharField(max_length=255,required=True,label='YouTube Video URL')
     delay = forms.IntegerField(initial=0,label='Delay (seconds)')
 

rowers/templates/menu_workout.html

@@ -74,6 +74,11 @@
           <i class="fas fa-map-marked-alt fa-fw"></i>&nbsp;Map
         </a>
       </li>
+      <li id="video-analysis">
+        <a href="/rowers/workout/{{ workout.id|encode }}/video/">
+          <i class="fas fa-video-plus fa-fw"></i>&nbsp;Video Analysis
+        </a>
+      </li>
       <li id="chart-empower">
         <a href="/rowers/workout/{{ workout.id|encode }}/forcecurve/">
           <i class="fas fa-dumbbell fa-fw"></i>&nbsp;Force Curve
@@ -106,7 +111,7 @@
         <a href="/rowers/workout/{{ workout.id|encode }}/addstatic/13/">
           <i class="far fa-chart-pie fa-fw"></i>&nbsp;Power (Pie)
         </a>
-      </li>      
+      </li>
       <li id="chart-hrpie">
         <a href="/rowers/workout/{{ workout.id|encode }}/addstatic/3/">
           <i class="fas fa-heartbeat fa-fw"></i>&nbsp;Heart Rate (Pie)
@@ -266,7 +271,7 @@
     <input type="checkbox" name="group-advanced" id="group-advanced">
     <label for="group-advanced">Advanced</label>
     <ul>
-      {% if workout|water %}      
+      {% if workout|water %}
       <li id="advanced-wind">
         <a href="/rowers/workout/{{ workout.id|encode }}/wind/">
           <i class="fas fa-pennant fa-fw"></i>&nbsp;Wind

rowers/views/workoutviews.py

@@ -88,11 +88,12 @@ def workout_video_view(request,id=0):
     spm = (10*df2['spm']).astype(int)/10.
 
     coordinates = dataprep.get_latlon_time(w.id)
+
+    coordinates.set_index(pd.to_timedelta(coordinates['time'],unit='s'),inplace=True)
+    coordinates = coordinates.resample('1s').mean().interpolate()
     mask = coordinates['time'] < delay
     coordinates = coordinates.mask(mask).dropna()
     coordinates['time'] = coordinates['time']-coordinates['time'].min()
-    coordinates.set_index(pd.to_timedelta(coordinates['time'],unit='s'),inplace=True)
-    coordinates = coordinates.resample('1s').mean().interpolate()
     latitude = coordinates['latitude']
     longitude = coordinates['longitude']