def outliers_zscore(data, col, col_zscores):
    outlier_thresh = 3
    mean = data[col].mean()
    stdev = data[col].std()
    data[col_zscores] = (data[col] - mean) / stdev # compute zscore
    data = data[abs(data[col_zscores])<=3] # remove outliers
    return data.drop(col_zscores, axis=1) # drop zscore columns


autos_zscore = outliers_zscore(autos, 'price_dollar', 'price_zscores')
autos_zscore = outliers_zscore(autos_zscore, 'odometer_km', 'Odometer_zscores')