for key, value in zip(xaxis, data_y_pps):
data_pd[key] = value
- anomaly_classification, avgs_pps, stdevs_pps = classify_anomalies(data_pd)
+ try:
+ anomaly_classification, avgs_pps, stdevs_pps = \
+ classify_anomalies(data_pd)
+ except ValueError as err:
+ logging.info(f"{err} Skipping")
+ return
avgs_mpps = [avg_pps / 1e6 for avg_pps in avgs_pps]
stdevs_mpps = [stdev_pps / 1e6 for stdev_pps in stdevs_pps]