def test_parse_dataframe(self):
s = Series(np.arange(10.0), name='variable')
out = parse_dataframe(s, 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['variable'])
df = DataFrame(s)
out = parse_dataframe(df, 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['variable'])
out = parse_dataframe(np.arange(10.0), 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['y'])
def test_parse_dataframe(self):
s = Series(np.arange(10.0), name='variable')
out = parse_dataframe(s, 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['variable'])
df = DataFrame(s)
out = parse_dataframe(df, 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['variable'])
out = parse_dataframe(np.arange(10.0), 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['y'])
out = parse_dataframe(None, 'name')
assert out[0] == ['name']
assert isinstance(out[1], np.ndarray)
assert out[1].shape == (0, )
def test_parse_dataframe():
s = Series(np.arange(10.0), name="variable")
out = parse_dataframe(s, "y")
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ["variable"])
df = DataFrame(s)
out = parse_dataframe(df, "y")
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ["variable"])
out = parse_dataframe(np.arange(10.0), "y")
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ["y"])
out = parse_dataframe(None, "name")
assert out[0] == ["name"]
assert isinstance(out[1], np.ndarray)
assert out[1].shape == (0,)
def test_parse_dataframe(self):
s = Series(np.arange(10.0), name='variable')
out = parse_dataframe(s, 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['variable'])
df = DataFrame(s)
out = parse_dataframe(df, 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['variable'])
out = parse_dataframe(np.arange(10.0), 'y')
assert_equal(out[1], np.arange(10.0))
assert_equal(out[0], ['y'])
out = parse_dataframe(None, 'name')
assert out[0] == ['name']
assert isinstance(out[1], np.ndarray)
assert out[1].shape == (0,)
def _check_specification(self):
"""Checks the specification for obvious errors """
if self._x is not None:
if self._x.ndim != 2 or self._x.shape[0] != self._y.shape[0]:
raise ValueError(
'x must be nobs by n, where nobs is the same as '
'the number of elements in y')
def_names = ['x' + str(i) for i in range(self._x.shape[1])]
self._x_names, self._x_index = parse_dataframe(self._x, def_names)
self._x = np.asarray(self._x)
def _check_specification(self):
"""Checks the specification for obvious errors """
if self._x is not None:
if self._x.ndim != 2 or self._x.shape[0] != self._y.shape[0]:
raise ValueError(
'x must be nobs by n, where nobs is the same as '
'the number of elements in y')
def_names = ['x' + str(i) for i in range(self._x.shape[1])]
self._x_names, self._x_index = parse_dataframe(self._x, def_names)
self._x = np.asarray(self._x)
def _check_specification(self) -> None:
"""Checks the specification for obvious errors """
if self._x is not None:
if self._x.ndim == 1:
self._x = self._x[:, None]
if self._x.ndim != 2 or self._x.shape[0] != self._y.shape[0]:
raise ValueError(
"x must be nobs by n, where nobs is the same as "
"the number of elements in y")
def_names = ["x" + str(i) for i in range(self._x.shape[1])]
names, self._x_index = parse_dataframe(self._x, def_names)
self._x_names = [str(name) for name in names]
self._x = np.asarray(self._x)
