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')
