def isoutlier(df, method = "forest", poutlier = 0.025, sd = 3.5, iqr = 1.5, indicate = False, n_estimators = 100):
    d = outlier(df, method = method, poutlier = poutlier, sd = sd, iqr = iqr, indicate = True, n_estimators = n_estimators)
    if indicate == False: return exc(d.iloc[(d["IsOutlier"]==1).index[d["IsOutlier"]==1]], "IsOutlier")
    else: return d.iloc[(d["IsOutlier"]==1).index[d["IsOutlier"]==1]]