optimus2.py

# Import optimus
import optimus as op
# Choose a column for analyzing
detector = op.OutlierDetector(df,"num")
# With the outliers() method you can use MAD to detect if there is an outlier in your column
detector.outliers()
# And with the run() method you can see which values are not outliers
detector.run()
# Finally with the delete_outliers() method you can delete existing outliers in your column. 
# This will modify the dataframe we have used when instantiating the OutlierDetector
# (deleting the whole row that contains the outlier value), but the original dataframe that we 
# read from disk will be intact.
detector.delete_outliers().show()