3.6.0 for py39

rowers/dataprep.py

@@ -786,9 +786,9 @@ def split_workout(r, parent, splitsecond, splitmode):
     data1.fillna(method='bfill', inplace=True)
 
     # Some new stuff to try out
-    data1 = data1.groupby('time', axis=0).mean()
+    #data1 = data1.groupby('time', axis=0).mean()
-    data1['time'] = data1.index
+    #data1['time'] = data1.index
-    data1.reset_index(drop=True, inplace=True)
+    #data1.reset_index(drop=True, inplace=True)
 
     data2 = data2.sort_values(['time'])
     data2 = data2.interpolate(method='linear', axis=0, limit_direction='both',
@@ -796,9 +796,9 @@ def split_workout(r, parent, splitsecond, splitmode):
     data2.fillna(method='bfill', inplace=True)
 
     # Some new stuff to try out
-    data2 = data2.groupby('time', axis=0).mean()
+    #data2 = data2.groupby('time', axis=0).mean()
-    data2['time'] = data2.index
+    #data2['time'] = data2.index
-    data2.reset_index(drop=True, inplace=True)
+    #data2.reset_index(drop=True, inplace=True)
 
     data1['pace'] = data1['pace'] / 1000.
     data2['pace'] = data2['pace'] / 1000.

rowers/dataroutines.py

@@ -1480,7 +1480,7 @@ def datafusion(id1, id2, columns, offset):
         'fpace',
         'workoutid',
         'id'],
-        1, errors='ignore')
+        axis=1, errors='ignore')
 
     # Add coordinates to DataFrame
     latitude, longitude = get_latlon(id1)
@@ -1503,7 +1503,7 @@ def datafusion(id1, id2, columns, offset):
 
     for c in df1.columns:
         if c not in keep1:
-            df1 = df1.drop(c, 1, errors='ignore')
+            df1 = df1.drop(c, axis=1, errors='ignore')
 
     df = pd.concat([df1, df2], ignore_index=True)
     df = df.sort_values(['time'])
@@ -1512,9 +1512,9 @@ def datafusion(id1, id2, columns, offset):
     df.fillna(method='bfill', inplace=True)
 
     # Some new stuff to try out
-    df = df.groupby('time', axis=0).mean()
+    #df = df.groupby('time',axis=0).mean()
-    df['time'] = df.index
+    #df['time'] = df.index
-    df.reset_index(drop=True, inplace=True)
+    #df.reset_index(drop=True, inplace=True)
 
     df['time'] = df['time'] / 1000.
     df['pace'] = df['pace'] / 1000.

rowers/interactiveplots.py

@@ -4655,7 +4655,7 @@ def interactive_chart(id=0, promember=0, intervaldata={}):
     ])
 
     hover.mode = 'mouse'
-    hover.names = ["spm", "pace"]
+    # hover.name = ["spm", "pace"]
 
     script, div = components(plot)
 

rowers/scoring.py

@@ -137,6 +137,8 @@ def save_scoring(name, user, filename, id=0, notes=""):
                 adaptiveclass = 'None'
         except KeyError:  # pragma: no cover
             adaptiveclass = 'None'
+        except AttributeError:
+            adaptiveclass = 'None'
 
         try:
             skillclass = row['SkillClass']

rowers/tasks.py

@@ -3691,13 +3691,14 @@ def handle_c2_async_workout(alldata, userid, c2token, c2id, delaysec,
     newc2id = workout.uploadedtoc2
 
     parkedids = []
-    with open('c2blocked.json', 'r') as c2blocked:
+    with open('c2blocked.json', 'a+') as c2blocked:
         try:
             jsondata = json.load(c2blocked)
             parkedids = jsondata['ids']
         except JSONDecodeError:  # pragma: no cover
             parkedids = []
         
+
     newparkedids = [id for id in parkedids if id != newc2id]
     with open('c2blocked.json', 'wt') as c2blocked:
         tdata = {'ids': newparkedids}

templates/newbase.html

@@ -12,8 +12,6 @@
     <title>{% block title %}Rowsandall Rowing Data Analytics{% endblock %}</title>
     {% analytical_head_top %}
 
-    <link rel="stylesheet" href="https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.css" type="text/css" />
-    <link rel="stylesheet" href="https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.css" type="text/css" />
     <link rel="stylesheet" type="text/css" href="/static/admin/css/forms.css"/>
     <link rel="stylesheet" type="text/css" href="/static/admin/css/widgets.css"/>
     <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" >