import pandas as pd
from sklearn.ensemble import IsolationForest

df = pd.read_csv('/datasets/sales.csv')
data = df[['Sales', 'Profit']]

sales = df['Sales'].values.reshape(-1, 1)
profit = df['Profit'].values.reshape(-1, 1)

isolation_forest = IsolationForest(n_estimators=100)
isolation_forest.fit(data)
#estimator = isolation_forest.predict(data)
estimator = isolation_forest.fit_predict(data)

outliers = (estimator == -1).tolist()