traces.append(trace_anomalies)
if show_moving_median:
+ min_periods = moving_win_size / 2 + 1
data_mean_y = pd.Series(data_y).rolling(
- window=moving_win_size).median()
+ window=moving_win_size, min_periods=min_periods).median()
trace_median = plgo.Scatter(
x=data_x,
y=data_mean_y,
"width": 1,
"color": color,
},
- name='{name}-trend'.format(name=name, size=moving_win_size)
+ name='{name}-trend'.format(name=name)
)
traces.append(trace_median)
chart_data[test_name][int(idx)] = \
test["result"]["throughput"]
except (KeyError, TypeError):
- chart_data[test_name][int(idx)] = None
+ pass
# Add items to the csv table:
for tst_name, tst_data in chart_data.items():
result = "PASS"
elif item == 0.33 or item == 0.0:
result = "FAIL"
- print(results)
- print(result)
- if result == "FAIL":
- return 1
- else:
- return 0
+
+ logging.info("Partial results: {0}".format(results))
+ logging.info("Result: {0}".format(result))
+
+ return result