HFEAFEIsolationForest.py

# import the libraries
from sklearn.ensemble import IsolationForest
import pandas as pd

# read your data
data = pd.read_csv("yourData.csv")

# create the isolation forest
outlier_detection = IsolationForest()

# fit and predict the outliers
outliers = outlier_detection.fit_predict(data)

#### OPTIONAL ###
# get index of outliers
outliers_index = np.where(outliers == -1, True, false)

# remove outliers from data.
data = data.loc[~(outliers_index, ]