def test_transform_4x1_1(data):
bc = BoxCox()
trans = bc.fit_transform(data[0])
assert np.all(trans == data[2])
assert trans.shape == data[2].shape
inverse = bc.inverse_transform(trans)
assert np.allclose(inverse, data[0])
assert inverse.shape == data[0].shape
def test_transform_4x4_1(data):
bc = BoxCox()
bc.fit_transform(data[1])
trans = bc.transform(data[1][:2])
assert trans.shape == data[3][:2].shape
assert np.all(trans == data[3][:2])
inverse = bc.inverse_transform(trans)
assert inverse.shape == data[1][:2].shape
assert np.allclose(inverse, data[1][:2])
def test_transform_4x1_ravel_2(data):
bc = BoxCox()
bc.fit(data[0].ravel())
trans = bc.transform((data[0].ravel())[:2])
assert trans.shape == (data[2].ravel())[:2].shape
assert np.all(trans == (data[2].ravel())[:2])
inverse = bc.inverse_transform(trans)
assert inverse.shape == (data[0].ravel())[:2].shape
assert np.allclose(inverse, (data[0].ravel())[:2])
def test_transform_4x1_2(data):
from scipy.special import boxcox as bc_
shift = 1e-5
bc = BoxCox(shift=shift)
_data = data[0] - 2.
trans = bc.fit_transform(_data)
tmp = bc_(_data + (shift - _data.min()), bc.lambda_[0])
assert np.all(trans == tmp)
inverse = bc.inverse_transform(trans)
assert np.allclose(inverse, _data)
def test_transform_4x1_ravel_1(data):
bc = BoxCox()
trans = bc.fit_transform(data[0].ravel())
assert np.all(trans == data[2].ravel())
inverse = bc.inverse_transform(trans)
assert np.allclose(inverse, data[0].ravel())
def test_transform_err_4x4_3(data):
bc = BoxCox(on_err='log')
trans = bc.fit_transform(data[5])
assert np.all(trans == data[7])
inverse = bc.inverse_transform(trans)
assert np.all(inverse == data[5])
def test_transform_err_4x4(data):
bc = BoxCox()
trans = bc.fit_transform(data[5])
assert np.all(trans == data[5])
inverse = bc.inverse_transform(trans)
assert np.all(inverse == data[5])
def test_transform_4x4_2(data):
bc = BoxCox()
trans = bc.fit_transform(data[1])
assert np.all(trans == data[3])
inverse = bc.inverse_transform(trans)
assert np.allclose(inverse, data[1])