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']}")
tput_kwargs = dict(
y=y_data,
name=(
hoverinfo=u"y+name",
boxpoints="all",
jitter=0.3,
- marker=dict(color=get_color(idx))
+ marker=dict(color=get_color(idx)),
+ customdata=c_data
)
tput_traces.append(go.Box(**tput_kwargs))
show_tput = True