def _get_data(): data = du.load_csv(__file__, 'Mroz.csv', sep=',') data['lfp'] = data['lfp'] == 'yes' data['wc'] = data['wc'] == 'yes' data['hc'] = data['hc'] == 'yes' data = du.strip_column_names(data) return data
def _get_data(): data = du.load_csv(__file__, 'organ_donation.csv', sep=',') data = du.strip_column_names(data) data['Quarter_Num'] = 1 data.loc[data['Quarter'] == 'Q12011', 'Quarter_Num'] = 2 data.loc[data['Quarter'] == 'Q22011', 'Quarter_Num'] = 3 data.loc[data['Quarter'] == 'Q32011', 'Quarter_Num'] = 4 data.loc[data['Quarter'] == 'Q42011', 'Quarter_Num'] = 5 data.loc[data['Quarter'] == 'Q12012', 'Quarter_Num'] = 6 return data
def load_pandas(): """ Load the China smoking/lung cancer data and return a Dataset class. Returns ------- Dataset See DATASET_PROPOSAL.txt for more information. """ raw_data = du.load_csv(__file__, 'china_smoking.csv') data = raw_data.set_index('Location') dset = du.Dataset(data=data, title="Smoking and lung cancer in Chinese regions") dset.raw_data = raw_data return dset
def load_pandas(): """ Load the China smoking/lung cancer data and return a Dataset class. Returns ------- Dataset instance: See DATASET_PROPOSAL.txt for more information. """ raw_data = du.load_csv(__file__, 'china_smoking.csv') data = raw_data.set_index('Location') dset = du.Dataset(data=data, title="Smoking and lung cancer in Chinese regions") dset.raw_data = raw_data return dset
def _get_data(): data = du.load_csv(__file__, 'star98.csv') names = ["NABOVE","NBELOW","LOWINC","PERASIAN","PERBLACK","PERHISP", "PERMINTE","AVYRSEXP","AVSALK","PERSPENK","PTRATIO","PCTAF", "PCTCHRT","PCTYRRND","PERMINTE_AVYRSEXP","PERMINTE_AVSAL", "AVYRSEXP_AVSAL","PERSPEN_PTRATIO","PERSPEN_PCTAF","PTRATIO_PCTAF", "PERMINTE_AVYRSEXP_AVSAL","PERSPEN_PTRATIO_PCTAF"] data.columns = names nabove = data['NABOVE'].copy() nbelow = data['NBELOW'].copy() data['NABOVE'] = nbelow # successes data['NBELOW'] = nabove - nbelow # now failures return data
def _get_data(): return du.load_csv(__file__, 'statecrime.csv')
def _get_data(): return du.load_csv(__file__, 'co2.csv')
def _get_data(): data = du.load_csv(__file__, 'longley.csv') data = data.iloc[:, [1, 2, 3, 4, 5, 6, 7]].astype(float) return data
def _get_data(): return du.load_csv(__file__, 'elnino.csv', convert_float=True)
def _get_data(): return du.load_csv(__file__, 'cancer.csv', convert_float=True)
def _get_data(): return du.load_csv(__file__, 'elnino.csv', convert_float=True)
def _get_data(): return du.load_csv(__file__, 'heart.csv')
def _get_data(): return du.load_csv(__file__, 'statecrime.csv')
def _get_data(): return du.load_csv(__file__, 'sunspots.csv').astype(float)
def _get_data(): return du.load_csv(__file__, 'randhie.csv')
def _get_data(): return du.load_csv(__file__, 'nile.csv').astype(float)
def _get_data(): data = du.load_csv(__file__, 'anes96.csv', sep='\s') data = du.strip_column_names(data) data['logpopul'] = log(data['popul'] + .1) return data.astype(float)
def _get_data(): return du.load_csv(__file__, 'modechoice.csv', sep=';', convert_float=True)
def _get_data(): return du.load_csv(__file__, 'modechoice.csv', sep=';', convert_float=True)
def _get_data(): data = du.load_csv(__file__, 'committee.csv') data = data.iloc[:, 1:7].astype(float) return data
def _get_data(): data = du.load_csv(__file__, 'copper.csv') data = data.iloc[:, 1:7] return data.astype(float)
def _get_data(): return du.load_csv(__file__, 'fertility.csv')
def _get_data(): data = du.load_csv(__file__, 'grunfeld.csv') return data
def _get_data(): data = du.load_csv(__file__, 'committee.csv') data = data.iloc[:, 1:7].astype(float) return data
def _get_data(): return du.load_csv(__file__, 'DatasetName.csv')
def _get_data(): data = du.load_csv(__file__, 'Cai_2015.csv', sep=',') data = du.strip_column_names(data) return data
def _get_data(): return du.load_csv(__file__, 'stackloss.csv').astype(float)
def _get_data(): data = du.load_csv(__file__, 'restaurant_data.csv', sep=',') data = du.strip_column_names(data) return data
def _get_data(): data = du.load_csv(__file__, 'grunfeld.csv') return data
def _get_data(): data = du.load_csv(__file__, 'fetter_mortgages.csv', sep=',') data = du.strip_column_names(data) return data
def _get_data(): data = du.load_csv(__file__, 'scotvote.csv') data = data.iloc[:, 1:9] return data.astype(float)
def _get_data(): return du.load_csv(__file__, 'sunspots.csv').astype(float)
def _get_data(): data = du.load_csv(__file__, 'Government_Transfers_RDD_Data.csv', sep=',') data = du.strip_column_names(data) return data
def _get_data(): data = du.load_csv(__file__, 'longley.csv') data = data.iloc[:, [1, 2, 3, 4, 5, 6, 7]].astype(float) return data
def _get_data(): data = du.load_csv(__file__, 'copper.csv') data = data.iloc[:, 1:7] return data.astype(float)
def _get_data(): data = du.load_csv(__file__, 'black_politicians.csv', sep=',') data = du.strip_column_names(data) return data
def _get_data(): return du.load_csv(__file__, 'randhie.csv')
def _get_data(): data = du.load_csv(__file__, 'cpunish.csv') data = data.iloc[:, 1:8].astype(float) return data
def _get_data(): return du.load_csv(__file__, 'stackloss.csv').astype(float)
def _get_data(): data = du.load_csv(__file__, 'spector.csv', sep='\s') data = du.strip_column_names(data) data = data.iloc[:, [1, 2, 3, 4]] return data.astype(float)
def _get_data(): data = du.load_csv(__file__, 'spector.csv', sep='\s') data = du.strip_column_names(data) data = data.iloc[:, [1, 2, 3, 4]] return data.astype(float)
def _get_data(): return du.load_csv(__file__, 'DatasetName.csv')
def _get_data(): return du.load_csv(__file__, 'nile.csv').astype(float)
def _get_data(): return du.load_csv(__file__, 'heart.csv')
def _get_data(): return du.load_csv(__file__, 'engel.csv')
def _get_data(): return du.load_csv(__file__, 'engel.csv')