X-Git-Url: https://gerrit.fd.io/r/gitweb?a=blobdiff_plain;f=resources%2Ftools%2Fpresentation%2Fgenerator_plots.py;h=0e0faff5bc37639676b342824794d8923a533289;hb=refs%2Fchanges%2F38%2F22338%2F6;hp=d43663f48c0fed44eabf799d89ec170387dddbc3;hpb=1b95782ee3716d09f66524287dc5e93c59c133ea;p=csit.git diff --git a/resources/tools/presentation/generator_plots.py b/resources/tools/presentation/generator_plots.py index d43663f48c..0e0faff5bc 100644 --- a/resources/tools/presentation/generator_plots.py +++ b/resources/tools/presentation/generator_plots.py @@ -111,14 +111,13 @@ def plot_service_density_reconf_box_name(plot, input_data): traces = list() df = pd.DataFrame(y_vals) df.head() - y_max = list() for i, col in enumerate(df.columns): tst_name = re.sub(REGEX_NIC, "", col.lower().replace('-ndrpdr', ''). replace('2n1l-', '')) tst_name = "-".join(tst_name.split("-")[3:-2]) name = "{nr}. ({samples:02d} run{plural}, packets lost average: " \ - "{loss:.1f}, {name}".format( + "{loss:.1f}) {name}".format( nr=(i + 1), samples=nr_of_samples[i], plural='s' if nr_of_samples[i] > 1 else '', @@ -128,25 +127,14 @@ def plot_service_density_reconf_box_name(plot, input_data): traces.append(plgo.Box(x=[str(i + 1) + '.'] * len(df[col]), y=[y if y else None for y in df[col]], name=name, - hoverinfo="x+y", - boxpoints="outliers", - whiskerwidth=0)) - try: - val_max = max(df[col]) - except ValueError as err: - logging.error(repr(err)) - continue - if val_max: - y_max.append(int(val_max) + 1) - + hoverinfo="y+name")) try: # Create plot layout = deepcopy(plot["layout"]) layout["title"] = "Time Lost: {0}".format(layout["title"]) layout["yaxis"]["title"] = "Implied Time Lost [s]" layout["legend"]["font"]["size"] = 14 - if y_max: - layout["yaxis"]["range"] = [0, max(y_max)] + layout["yaxis"].pop("range") plpl = plgo.Figure(data=traces, layout=layout) # Export Plot @@ -236,9 +224,7 @@ def plot_performance_box_name(plot, input_data): traces.append(plgo.Box(x=[str(i + 1) + '.'] * len(df[col]), y=[y / 1000000 if y else None for y in df[col]], name=name, - hoverinfo="x+y", - boxpoints="outliers", - whiskerwidth=0)) + hoverinfo="y+name")) try: val_max = max(df[col]) except ValueError as err: