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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def iris(display=False):
 """ Return the classic iris data in a nice package. """


    d = sklearn.datasets.load_iris()
    df = pd.DataFrame(data=d.data, columns=d.feature_names) # pylint: disable=E1101
    if display:
        return df, [d.target_names[v] for v in d.target] # pylint: disable=E1101
    else:
        return df, d.target