y_tput_max = max(max(y_data), y_tput_max)
nr_of_samples = len(y_data)
- c_data = list()
- for _, row in itm_data.iterrows():
- c_data.append(f"{row['job']}/{row['build']}")
+
+ if itm["testtype"] == "mrr":
+ c_data = [
+ (
+ f"{itm_data['job'].to_list()[0]}/",
+ f"{itm_data['build'].to_list()[0]}"
+ ),
+ ] * nr_of_samples
+ else:
+ c_data = list()
+ for _, row in itm_data.iterrows():
+ c_data.append(f"{row['job']}/{row['build']}")
tput_kwargs = dict(
y=y_data,
name=(