from adtk.detector import OutlierDetector
from sklearn.neighbors import LocalOutlierFactor
outlier_detector = OutlierDetector(LocalOutlierFactor(contamination=0.05))
anomalies = outlier_detector.fit_detect(df)
plot(df, anomaly=anomalies, ts_linewidth=1, ts_markersize=3, anomaly_color='red', anomaly_alpha=0.3, curve_group='all');
AttributeError: 'Series' object has no attribute 'iteritems'
replace
for t, v in time_window_end_series.iteritems()
in *\adtk\data_data.py
into
for t, v in time_window_end_series.items()
That's all right.