def load_pandas():
data = _get_data()
##### SET THE INDICES #####
#NOTE: None for exog_idx is the complement of endog_idx
return du.process_recarray_pandas(data,
endog_idx=0,
exog_idx=None,
dtype=float)
def load_pandas():
"""Load the credit card data and returns a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
return du.process_recarray_pandas(data, endog_idx=0)
def load_pandas():
"""Load the anes96 data and returns a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
return du.process_recarray_pandas(data, endog_idx=5, dtype=float)
def load_pandas():
"""
Load the strikes data and return a Dataset class instance.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
return du.process_recarray_pandas(data, endog_idx=0, dtype=float)
def load_pandas():
"""
Load the Longley data and return a Dataset class.
Returns
-------
Dataset instance
See DATASET_PROPOSAL.txt for more information.
"""
data = _get_data()
return du.process_recarray_pandas(data, endog_idx=0)
def load_pandas():
"""
Loads the RAND HIE data and returns a Dataset class.
----------
endog - response variable, mdvis
exog - design
Returns
Load instance:
a class of the data with array attrbutes 'endog' and 'exog'
"""
from pandas import read_csv
data = read_csv(PATH)
return du.process_recarray_pandas(data, endog_idx=0)
def load_pandas():
"""
Loads the RAND HIE data and returns a Dataset class.
----------
endog - response variable, mdvis
exog - design
Returns
Load instance:
a class of the data with array attrbutes 'endog' and 'exog'
"""
from pandas import read_csv
data = read_csv(PATH)
return du.process_recarray_pandas(data, endog_idx=0)
def load_pandas():
"""
Loads the Grunfeld data and returns a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
Notes
-----
raw_data has the firm variable expanded to dummy variables for each
firm (ie., there is no reference dummy)
"""
from pandas import DataFrame
data = _get_data()
raw_data = categorical(data, col='firm', drop=True)
ds = du.process_recarray_pandas(data, endog_idx=0)
ds.raw_data = DataFrame(raw_data)
return ds
def load_pandas():
"""
Loads the Grunfeld data and returns a Dataset class.
Returns
-------
Dataset instance:
See DATASET_PROPOSAL.txt for more information.
Notes
-----
raw_data has the firm variable expanded to dummy variables for each
firm (ie., there is no reference dummy)
"""
from pandas import DataFrame
data = _get_data()
raw_data = categorical(data, col='firm', drop=True)
ds = du.process_recarray_pandas(data, endog_idx=0)
ds.raw_data = DataFrame(raw_data)
return ds
def load_pandas():
data = _get_data()
##### SET THE INDICES #####
# NOTE: None for exog_idx is the complement of endog_idx
return du.process_recarray_pandas(data, endog_idx=0, exog_idx=None, dtype=float)
def load_pandas():
data = _get_data()
return du.process_recarray_pandas(data, endog_idx=0, dtype=float)
def load_pandas():
data = _get_data()
return du.process_recarray_pandas(data, endog_idx=['NABOVE', 'NBELOW'],
dtype=float)
def load_pandas():
data = _get_data()
return du.process_recarray_pandas(data,
endog_idx=['NABOVE', 'NBELOW'],
dtype=float)