def load():
    data = _get_data()
    names = data.columns.tolist()
    dtype = zip(names, ['a45', 'a3', 'a40', 'a14'] + ['<f8'] * 54)
    data = map(tuple, data.values.tolist())
    dataset = du.Dataset(data=np.array(data, dtype=dtype), names=names)
    return dataset
Load the data and return a Dataset class instance.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/datasets/fertility/data.py/load