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-rw-r--r--csit.infra.dash/app/cdash/report/graphs.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/csit.infra.dash/app/cdash/report/graphs.py b/csit.infra.dash/app/cdash/report/graphs.py
index 50a3be287a..44c57d4183 100644
--- a/csit.infra.dash/app/cdash/report/graphs.py
+++ b/csit.infra.dash/app/cdash/report/graphs.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023 Cisco and/or its affiliates.
+# Copyright (c) 2024 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
@@ -73,8 +73,8 @@ def select_iterative_data(data: pd.DataFrame, itm:dict) -> pd.DataFrame:
return df
-def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
- normalize: bool) -> tuple:
+def graph_iterative(data: pd.DataFrame, sel: list, layout: dict,
+ normalize: bool=False) -> tuple:
"""Generate the statistical box graph with iterative data (MRR, NDR and PDR,
for PDR also Latencies).
@@ -84,7 +84,7 @@ def graph_iterative(data: pd.DataFrame, sel:dict, layout: dict,
:param normalize: If True, the data is normalized to CPU frequency
Constants.NORM_FREQUENCY.
:param data: pandas.DataFrame
- :param sel: dict
+ :param sel: list
:param layout: dict
:param normalize: bool
:returns: Tuple of graphs - throughput and latency.