cnske

## windowed_anomaly.py
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:
	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: