Add a bottom row that aggregates each metric column for table viz

caravel/assets/visualizations/table.js

@@ -63,6 +63,31 @@ function tableVis(slice) {
           return d;
         });
 
+      var all_columns = form_data.all_columns;
+      if (all_columns == null || all_columns.length == 0) {
+        var sum_row = data.records.pop();
+        var tfoot = table.append('tfoot');
+        tfoot.append('tr')
+          .selectAll('th')
+          .data(data.columns).enter()
+          .append('th')
+          .text(function (d) {
+            return "Total " + d;
+          });
+        tfoot.append('tr')
+          .selectAll('td')
+          .data(data.columns).enter()
+          .append('td')
+          .text(function (d) {
+            var val = sum_row[d];
+            if (metrics.indexOf(d) >= 0) {
+              return slice.d3format(d, val);
+            } else {
+              return val;
+            }
+          });
+      }
+
       table.append('tbody')
         .selectAll('tr')
         .data(data.records)

caravel/viz.py

@@ -423,6 +423,13 @@ def get_df(self, query_obj=None):
                 self.form_data.get("granularity") == "all" and
                 'timestamp' in df):
             del df['timestamp']
+        metrics = self.form_data.get('metrics') or ['count']
+        metrics = list(set(metrics) & set(df.columns.values))
+        if len(metrics) > 0 and not self.form_data.get('all_columns'):
+            sum_metrics = df[metrics].sum()
+            df_sum = pd.DataFrame(data=sum_metrics).T
+            df_sum = df_sum.reindex(columns=df.columns, fill_value="-")
+            df = df.append(df_sum, ignore_index=True)
         return df
 
     def get_data(self):