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cnske
/ windowed_anomaly.py
Last active
March 22, 2022 19:39
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| def window_anomaly(df, col, window_length, qlow=0.05, qhigh=0.95): | |
| """ | |
| Anomalie detection on sliding window approach. | |
| Partly based on: https://medium.com/@krzysztofdrelczuk/time-series-anomaly-detection-with-python-example-a92ef262f09a | |
| Input | |
| df: dataframe | |
| col: column name as str | |
| window_length: length of the window in steps of the data | |
| qlow: |