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pythondetectionoutliers

ADTK Outlier detection/filtering in Python

I am trying to fine anomalies in the data set I have. This is CPU usage data for a process.

My data looks something like below enter image description here

My code to find anomalies looks like something below

outlier_detector = OutlierDetector(LocalOutlierFactor(contamination=0.05))
anomalies = outlier_detector.fit_detect(df_anomaly)
print(anomalies)

The anomalies output shows me something like below

enter image description here

How can I filter the anomalies output for all values which have True in the set? Is anomalies output a dataframe or something else?

Solution

  • The question was answered by Contributors on GitHub.

    The anomalies object is a pandas.core.series.Series You can convert it to a list and use the data in your own plot.

    # With datetime and boolean
anomailes_list = anomalies.reset_index().values.tolist()
anomailes_list

    # Just boolean results
anomailes_list = anomalies.to_list()
anomailes_list

# List of values that are True
anomalies_true = [value for value in anomalies.to_list() if value]