def load() -> DataFrame: from linearmodels import datasets return datasets.load(__file__, "munnell.csv.bz2")
def load() -> DataFrame: from linearmodels import datasets data = datasets.load(__file__, "french.csv.bz2") data["dates"] = to_datetime(data.dates) return data
def load() -> DataFrame: from linearmodels import datasets return datasets.load(__file__, "fertility.csv.bz2")
def load() -> DataFrame: from linearmodels import datasets return datasets.load(__file__, "jobtraining.csv.bz2")
def load(): from linearmodels import datasets return datasets.load(__file__, 'card.csv.bz2')
def load() -> DataFrame: from linearmodels import datasets return datasets.load(__file__, "birthweight.csv.bz2")
def load(): from linearmodels import datasets return datasets.load(__file__, 'jobtraining.csv.bz2')
def load(): from linearmodels import datasets return datasets.load(__file__, 'fertility.csv.bz2')
def load(): from linearmodels import datasets data = datasets.load(__file__, 'french.csv.bz2') data['dates'] = pd.to_datetime(data.dates) return data
def load(): from linearmodels import datasets return datasets.load(__file__, 'wage_panel.csv.bz2')