filtering working

rowers/dataprep.py

@@ -95,6 +95,23 @@ from scipy.signal import savgol_filter
 
 import datetime
 
+def filter_df(datadf,fieldname,value,largerthan=True):
+
+    try:
+        x = datadf[fieldname]
+    except KeyError:
+        return datadf
+
+    if largerthan:
+        mask = datadf[fieldname] < value
+    else:
+        mask = datadf[fieldname] >= value
+
+    datadf.loc[mask,fieldname] = np.nan
+
+
+    return datadf
+
 def clean_df_stats(datadf,workstrokesonly=True,ignorehr=True,
                    ignoreadvanced=False):
     # clean data remove zeros and negative values

rowers/forms.py

@@ -300,6 +300,18 @@ parchoices = list(sorted(formaxlabels.items(), key = lambda x:x[1]))
 class BoxPlotChoiceForm(forms.Form):
     yparam = forms.ChoiceField(choices=parchoices,initial='spm',
                                label='Metric')
+    spmmin = forms.FloatField(initial=15,
+                              required=False,label = 'Min SPM')
+    spmmax = forms.FloatField(initial=55,
+                              required=False,label = 'Max SPM')
+    workmin = forms.FloatField(initial=0,
+                              required=False,label = 'Min Work per Stroke')
+    workmax = forms.FloatField(initial=1500,
+                              required=False,label = 'Max Work per Stroke')
+
+    includereststrokes = forms.BooleanField(initial=False,
+                                            required=False,
+                                            label='Include Rest Strokes')
     
 class ChartParamChoiceForm(forms.Form):
     plotchoices = (

rowers/interactiveplots.py

@@ -88,12 +88,19 @@ from rowers.dataprep import nicepaceformat,niceformat
 from rowers.dataprep import timedeltaconv    
 
 def interactive_boxchart(datadf,fieldname,extratitle=''):
+
+    if datadf.empty:
+        return '','It looks like there are no data matching your filter'
+    
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,resize'
+
     plot = BoxPlot(datadf, values=fieldname, label='date',
                    legend=False,
                    title=axlabels[fieldname]+' '+extratitle,
                    outliers=False,
                    tools=TOOLS,
+		   toolbar_location="above",
+                   toolbar_sticky=False,
                    x_mapper_type='datetime')
 
     yrange1 = Range1d(start=yaxminima[fieldname],end=yaxmaxima[fieldname])
@@ -133,12 +140,12 @@ def interactive_boxchart(datadf,fieldname,extratitle=''):
 
 
     plot.xaxis.major_label_orientation = pi/4
-    
+
     script, div = components(plot)
 
-
     return script,div
 
+
 def interactive_forcecurve(theworkouts,workstrokesonly=False):
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,resize,crosshair'
 

rowers/templates/boxplot.html

@@ -34,28 +34,35 @@
 </style>
 
 
-<div id="workouts" class="grid_8 alpha">
-  <h1>Box Chart</h1>
-</div>
-<div class="grid_4 omega">
-  <form enctype="multipart/form-data" action="/rowers/user-boxplot/{{ userid }}" method="post">
-  {% csrf_token %}
-    <table>
-      {{ chartform.as_table }}
-    </table>
-    <div class="grid_1 prefix_2 suffix_1">
-      <p>
-        <input name='workoutselectform' class="button green" type="submit" value="Submit">
-      </p>
-    </div>
-  </form>
-</div>
 <div class="grid_12 alpha">
-  
+    <h1>Box Chart</h1>
-   
+  <div id="workouts" class="grid_8 alpha">
-  
+    <div id="theplot" class="grid_8 alpha flexplot">
-  <div id="theplot" class="grid_12 alpha flexplot">
+      {{ the_div|safe }}
-    {{ the_div|safe }}
+    </div>
+  </div>
+  <div class="grid_4 omega">
+    <div class="grid_4">
+    <form enctype="multipart/form-data" action="/rowers/user-boxplot/{{ userid }}" method="post">
+      {% csrf_token %}
+      <table>
+        {{ chartform.as_table }}
+      </table>
+      <div class="grid_1 prefix_2 suffix_1">
+        <p>
+          <input name='workoutselectform' class="button green" type="submit" value="Submit">
+        </p>
+      </div>
+    </form>
+    </div>
+    <div class="grid_4">
+    <p>
+      You can use the form above to change the metric or filter the data.
+      Set Min SPM and Max SPM to select only strokes in a certain range of
+      stroke rates.
+      Set Work per Stroke to a minimum value to remove "paddle" strokes or turns.
+    </p>
+    </div>
   </div>
 </div>
 

rowers/views.py

@@ -3043,6 +3043,15 @@ def boxplot_view(request,userid=0,
             cd = form.cleaned_data
             workouts = cd['workouts']
             plotfield = chartform.cleaned_data['yparam']
+            includereststrokes = chartform.cleaned_data['includereststrokes']
+            request.session['includereststrokes'] = includereststrokes
+            workstrokesonly = not includereststrokes
+
+            spmmin = chartform.cleaned_data['spmmin']
+            spmmax = chartform.cleaned_data['spmmax']
+            workmin = chartform.cleaned_data['workmin']
+            workmax = chartform.cleaned_data['workmax']
+
             ids = [int(w.id) for w in workouts]
             request.session['ids'] = ids
 
@@ -3058,12 +3067,25 @@ def boxplot_view(request,userid=0,
     
     
             fieldlist,fielddict = dataprep.getstatsfields()
-            fieldlist = [plotfield,'workoutid']
+            fieldlist = [plotfield,'workoutid','spm','driveenergy',
+                         'workoutstate']
     
             # prepare data frame
             datadf = dataprep.read_cols_df_sql(ids,fieldlist)
             
             datadf = dataprep.clean_df_stats(datadf,workstrokesonly=workstrokesonly)
+
+            datadf = dataprep.filter_df(datadf,'spm',spmmin,
+                                        largerthan=True)
+            datadf = dataprep.filter_df(datadf,'spm',spmmax,
+                                        largerthan=False)
+            datadf = dataprep.filter_df(datadf,'driveenergy',workmin,
+                                        largerthan=True)
+            datadf = dataprep.filter_df(datadf,'driveneergy',workmax,
+                                        largerthan=False)
+
+            datadf.dropna(axis=0,how='any',inplace=True)
+
             datadf['workoutid'].replace(datemapping,inplace=True)
             datadf.rename(columns={"workoutid":"date"},inplace=True)
             datadf = datadf.sort_values(['date'])
@@ -3093,6 +3115,13 @@ def boxplot_view(request,userid=0,
         chartform = BoxPlotChoiceForm(request.POST)
         if chartform.is_valid():
             plotfield = chartform.cleaned_data['yparam']
+            includereststrokes = chartform.cleaned_data['includereststrokes']
+            spmmin = chartform.cleaned_data['spmmin']
+            spmmax = chartform.cleaned_data['spmmax']
+            workmin = chartform.cleaned_data['workmin']
+            workmax = chartform.cleaned_data['workmax']
+            request.session['includereststrokes'] = includereststrokes
+            workstrokesonly = not includereststrokes
             ids = request.session['ids']
             request.session['ids'] = ids
             workouts = [Workout.objects.get(id=id) for id in ids]
@@ -3106,12 +3135,31 @@ def boxplot_view(request,userid=0,
             }
 
             fieldlist,fielddict = dataprep.getstatsfields()
-            fieldlist = [plotfield,'workoutid']
+            fieldlist = [plotfield,'workoutid','spm','driveenergy',
+                         'workoutstate']
     
             # prepare data frame
             datadf = dataprep.read_cols_df_sql(ids,fieldlist)
+
+            # dummy values for drive energy
+            mask = datadf['driveenergy'] == 0
+            datadf.loc[mask,'driveenergy'] = 450
             
-            datadf = dataprep.clean_df_stats(datadf,workstrokesonly=workstrokesonly)
+            datadf = dataprep.clean_df_stats(datadf,
+                                             workstrokesonly=workstrokesonly)
+
+
+            datadf = dataprep.filter_df(datadf,'spm',spmmin,
+                                        largerthan=True)
+            datadf = dataprep.filter_df(datadf,'spm',spmmax,
+                                        largerthan=False)
+            datadf = dataprep.filter_df(datadf,'driveenergy',workmin,
+                                        largerthan=True)
+            datadf = dataprep.filter_df(datadf,'driveneergy',workmax,
+                                        largerthan=False)
+
+            datadf.dropna(axis=0,how='any',inplace=True)
+
             datadf['workoutid'].replace(datemapping,inplace=True)
             datadf.rename(columns={"workoutid":"date"},inplace=True)
             datadf = datadf.sort_values(['date'])
@@ -3136,7 +3184,7 @@ def boxplot_view(request,userid=0,
         else:
             return HttpResponse("invalid form")
     else:
-        url = reverse(workouts_view)
+        url = reverse(user_boxplot_select)
         return HttpResponseRedirect(url)
 
 # List Workouts