def test_patsy_577():
X = np.random.random((10, 2))
df = pandas.DataFrame(X, columns=["var1", "var2"])
from patsy import dmatrix
endog = dmatrix("var1 - 1", df)
np.testing.assert_(data._is_using_patsy(endog, None))
exog = dmatrix("var2 - 1", df)
np.testing.assert_(data._is_using_patsy(endog, exog))
def test_patsy_577():
X = np.random.random((10, 2))
df = pandas.DataFrame(X, columns=["var1", "var2"])
from patsy import dmatrix
endog = dmatrix("var1 - 1", df)
np.testing.assert_(data._is_using_patsy(endog, None))
exog = dmatrix("var2 - 1", df)
np.testing.assert_(data._is_using_patsy(endog, exog))
def handle_data(endog, exog, missing='none', hasconst=None, **kwargs):
"""
Given inputs
"""
# deal with lists and tuples up-front
if isinstance(endog, (list, tuple)):
endog = np.asarray(endog)
if isinstance(exog, (list, tuple)):
exog = np.asarray(exog)
if data_util._is_using_ndarray_type(endog, exog):
klass = ModelData
elif data_util._is_using_pandas(endog, exog):
klass = PandasData
elif data_util._is_using_patsy(endog, exog):
klass = PatsyData
# keep this check last
elif data_util._is_using_ndarray(endog, exog):
klass = ModelData
else:
raise ValueError('unrecognized data structures: %s / %s' %
(type(endog), type(exog)))
return klass(endog,
exog=exog,
missing=missing,
hasconst=hasconst,
**kwargs)
def handle_data(endog, exog):
"""
Given inputs
"""
# deal with lists and tuples up-front
if isinstance(endog, (list, tuple)):
endog = np.asarray(endog)
if isinstance(exog, (list, tuple)):
exog = np.asarray(exog)
if data_util._is_using_pandas(endog, exog):
klass = PandasData
elif data_util._is_using_larry(endog, exog):
klass = LarryData
elif data_util._is_using_timeseries(endog, exog):
klass = TimeSeriesData
elif data_util._is_using_patsy(endog, exog):
klass = PatsyData
# keep this check last
elif data_util._is_using_ndarray(endog, exog):
klass = ModelData
else:
raise ValueError("unrecognized data structures: %s / %s" % (type(endog), type(exog)))
return klass(endog, exog=exog)
def handle_data_class_factory(endog, exog):
"""
Given inputs
"""
if data_util._is_using_ndarray_type(endog, exog):
klass = ModelData
elif data_util._is_using_pandas(endog, exog):
klass = PandasData
elif data_util._is_using_patsy(endog, exog):
klass = PatsyData
# keep this check last
elif data_util._is_using_ndarray(endog, exog):
klass = ModelData
else:
raise ValueError("unrecognized data structures: %s / %s" % (type(endog), type(exog)))
return klass
def handle_data_class_factory(endog, exog):
"""
Given inputs
"""
if data_util._is_using_ndarray_type(endog, exog):
klass = ModelData
elif data_util._is_using_pandas(endog, exog):
klass = PandasData
elif data_util._is_using_patsy(endog, exog):
klass = PatsyData
# keep this check last
elif data_util._is_using_ndarray(endog, exog):
klass = ModelData
else:
raise ValueError('unrecognized data structures: %s / %s' %
(type(endog), type(exog)))
return klass
def handle_data(endog, exog, missing="none", hasconst=None, **kwargs):
"""
Given inputs
"""
# deal with lists and tuples up-front
if isinstance(endog, (list, tuple)):
endog = np.asarray(endog)
if isinstance(exog, (list, tuple)):
exog = np.asarray(exog)
if data_util._is_using_ndarray_type(endog, exog):
klass = ModelData
elif data_util._is_using_pandas(endog, exog):
klass = PandasData
elif data_util._is_using_patsy(endog, exog):
klass = PatsyData
# keep this check last
elif data_util._is_using_ndarray(endog, exog):
klass = ModelData
else:
raise ValueError("unrecognized data structures: %s / %s" % (type(endog), type(exog)))
return klass(endog, exog=exog, missing=missing, hasconst=hasconst, **kwargs)
