diff --git a/py-scripts/csv_to_influx.py b/py-scripts/csv_to_influx.py
index 62c9bfea..f710356f 100755
--- a/py-scripts/csv_to_influx.py
+++ b/py-scripts/csv_to_influx.py
@@ -39,17 +39,19 @@ class CSVtoInflux():
                  _capture_signal_list=[],
                  influxdb=None,
                  _influx_tag=[],
-                 target_csv=None):
+                 target_csv=None,
+                 sep='\t'):
         self.influxdb = influxdb
         self.target_csv = target_csv.replace('/home/lanforge/html-reports/', '')
         self.influx_tag = _influx_tag
+        self.sep = sep
 
     def read_csv(self, file):
         csv = open(file).read().split('\n')
         rows = list()
         for x in csv:
             if len(x) > 0:
-                rows.append(x.split('\t'))
+                rows.append(x.split(self.sep))
         return rows
 
     # Submit data to the influx db if configured to do so.
@@ -57,6 +59,7 @@ class CSVtoInflux():
         df = self.read_csv(self.target_csv)
         length = list(range(0, len(df[0])))
         columns = dict(zip(df[0], length))
+        print('columns: %s' % columns)
         influx_variables = ['script', 'short-description', 'test_details', 'Graph-Group',
                             'DUT-HW-version', 'DUT-SW-version', 'DUT-Serial-Num', 'testbed', 'Units']
         csv_variables = ['test-id', 'short-description', 'test details', 'Graph-Group',
@@ -64,6 +67,7 @@ class CSVtoInflux():
         csv_vs_influx = dict(zip(csv_variables, influx_variables))
         for row in df[1:]:
             tags = dict()
+            print("row: %s" % row)
             short_description = row[columns['short-description']]
             numeric_score = float(row[columns['numeric-score']])
             date = row[columns['Date']]
@@ -138,6 +142,7 @@ python3 csv_to_influx.py --influx_host localhost --influx_org Candela --influx_t
     # This argument is specific to this script, so not part of the generic influxdb parser args
     # method above.
     parser.add_argument('--target_csv', help='CSV file to record to influx database', default="")
+    parser.add_argument('--sep', help='character to split CSV by', default='\t')
 
     args = parser.parse_args()
 
@@ -151,7 +156,8 @@ python3 csv_to_influx.py --influx_host localhost --influx_org Candela --influx_t
 
     csvtoinflux = CSVtoInflux(influxdb=influxdb,
                               target_csv=args.target_csv,
-                              _influx_tag=args.influx_tag)
+                              _influx_tag=args.influx_tag,
+                              sep=args.sep)
     csvtoinflux.post_to_influx()
 
 
diff --git a/py-scripts/grafana_profile.py b/py-scripts/grafana_profile.py
index 6577614b..a4e4ad1f 100755
--- a/py-scripts/grafana_profile.py
+++ b/py-scripts/grafana_profile.py
@@ -98,7 +98,9 @@ class UseGrafana(LFCliBase):
                                 graph_groups_file=None,
                                 testbed=None,
                                 datasource='InfluxDB',
-                                from_date='now-1y'):
+                                from_date='now-1y',
+                                graph_height=8,
+                                graph__width=12):
         options = string.ascii_lowercase + string.ascii_uppercase + string.digits
         uid = ''.join(random.choice(options) for i in range(9))
         input1 = dict()
@@ -137,8 +139,8 @@ class UseGrafana(LFCliBase):
                 panel = dict()
 
                 gridpos = dict()
-                gridpos['h'] = 8
-                gridpos['w'] = 12
+                gridpos['h'] = graph_height
+                gridpos['w'] = graph__width
                 gridpos['x'] = 0
                 gridpos['y'] = 0
 
@@ -343,6 +345,8 @@ def main():
     optional.add_argument('--kpi', help='KPI file(s) which you want to graph form', action='append', default=None)
     optional.add_argument('--datasource', help='Name of Influx database if different from InfluxDB', default='InfluxDB')
     optional.add_argument('--from_date', help='Date you want to start your Grafana dashboard from', default='now-1y')
+    optional.add_argument('--graph_height', help='Custom height for the graph on grafana dashboard', default=8)
+    optional.add_argument('--graph_width', help='Custom width for the graph on grafana dashboard', default=12)
     args = parser.parse_args()
 
     Grafana = UseGrafana(args.grafana_token,
@@ -372,7 +376,9 @@ def main():
                                         graph_groups_file=args.graph_groups_file,
                                         testbed=args.testbed,
                                         datasource=args.datasource,
-                                        from_date=args.from_date)
+                                        from_date=args.from_date,
+                                        graph_height=args.graph_height,
+                                        graph__width=args.graph_width)
 
 
 if __name__ == "__main__":