improving correlation matrix

rowers/dataprep.py

@@ -537,8 +537,39 @@ def clean_df_stats(datadf, workstrokesonly=True, ignorehr=True,
 
     return datadf
 
-
 def getstatsfields():
+    fielddict = {name:d['verbose_name'] for name,d in rowingmetrics}
+
+#    fielddict.pop('ergpace')
+#    fielddict.pop('hr_an')
+#    fielddict.pop('hr_tr')
+#    fielddict.pop('hr_at')
+#    fielddict.pop('hr_ut2')
+#    fielddict.pop('hr_ut1')
+    fielddict.pop('time')
+    fielddict.pop('distance')
+#    fielddict.pop('nowindpace')
+#    fielddict.pop('fnowindpace')
+#    fielddict.pop('fergpace')
+#    fielddict.pop('equivergpower')
+#    fielddict.pop('workoutstate')
+#    fielddict.pop('fpace')
+#    fielddict.pop('pace')
+#    fielddict.pop('id')
+#    fielddict.pop('ftime')
+#    fielddict.pop('x_right')
+#    fielddict.pop('hr_max')
+#    fielddict.pop('hr_bottom')
+    fielddict.pop('cumdist')
+
+    try:
+        fieldlist = [field for field, value in fielddict.iteritems()]
+    except AttributeError:
+        fieldlist = [field for field, value in fielddict.items()]
+
+    return fieldlist, fielddict
+
+def getstatsfields_old():
     # Get field names and remove those that are not useful in stats
     fields = StrokeData._meta.get_fields()