本文整理匯總了Python中statsmodels.tsa.statespace.representation.Representation.bind方法的典型用法代碼示例。如果您正苦於以下問題：Python Representation.bind方法的具體用法？Python Representation.bind怎麽用？Python Representation.bind使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類statsmodels.tsa.statespace.representation.Representation的用法示例。
在下文中一共展示了Representation.bind方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_bind
# 需要導入模塊: from statsmodels.tsa.statespace.representation import Representation [as 別名]
# 或者: from statsmodels.tsa.statespace.representation.Representation import bind [as 別名]
def test_bind():
mod = Representation(1, k_states=2)
# Test invalid endogenous array (it must be ndarray)
assert_raises(ValueError, lambda: mod.bind([1,2,3,4]))
# Test valid (nobs x 1) endogenous array
mod.bind(np.arange(10)*1.)
assert_equal(mod.nobs, 10)
# Test valid (k_endog x 0) endogenous array
mod.bind(np.zeros(0,dtype=np.float64))
# Test invalid (3-dim) endogenous array
assert_raises(ValueError, lambda: mod.bind(np.arange(12).reshape(2,2,3)*1.))
# Test valid F-contiguous
mod.bind(np.asfortranarray(np.arange(10).reshape(1,10)))
assert_equal(mod.nobs, 10)
# Test valid C-contiguous
mod.bind(np.arange(10).reshape(10,1))
assert_equal(mod.nobs, 10)
# Test invalid F-contiguous
assert_raises(ValueError, lambda: mod.bind(np.asfortranarray(np.arange(10).reshape(10,1))))
# Test invalid C-contiguous
assert_raises(ValueError, lambda: mod.bind(np.arange(10).reshape(1,10)))示例2: test_bind
# 需要導入模塊: from statsmodels.tsa.statespace.representation import Representation [as 別名]
# 或者: from statsmodels.tsa.statespace.representation.Representation import bind [as 別名]
def test_bind():
# Test binding endogenous data to Kalman filter
mod = Representation(2, k_states=2)
# Test invalid endogenous array (it must be ndarray)
assert_raises(ValueError, lambda: mod.bind([1,2,3,4]))
# Test valid (nobs x 1) endogenous array
mod.bind(np.arange(10).reshape((5,2))*1.)
assert_equal(mod.nobs, 5)
# Test valid (k_endog x 0) endogenous array
mod.bind(np.zeros((0,2),dtype=np.float64))
# Test invalid (3-dim) endogenous array
assert_raises(ValueError, lambda: mod.bind(np.arange(12).reshape(2,2,3)*1.))
# Test valid F-contiguous
mod.bind(np.asfortranarray(np.arange(10).reshape(2,5)))
assert_equal(mod.nobs, 5)
# Test valid C-contiguous
mod.bind(np.arange(10).reshape(5,2))
assert_equal(mod.nobs, 5)
# Test invalid F-contiguous
assert_raises(ValueError, lambda: mod.bind(np.asfortranarray(np.arange(10).reshape(5,2))))
# Test invalid C-contiguous
assert_raises(ValueError, lambda: mod.bind(np.arange(10).reshape(2,5)))
if NumpyVersion(np.__version__) < '0.10.0':
mod = Representation(1, k_states=2)
# Test valid F-contiguous
mod.bind(np.asfortranarray(np.arange(10).reshape(1,10)))
assert_equal(mod.nobs, 10)
# Test valid C-contiguous
mod.bind(np.arange(10).reshape(10,1))
assert_equal(mod.nobs, 10)
# Test invalid F-contiguous
assert_raises(ValueError, lambda: mod.bind(np.asfortranarray(np.arange(10).reshape(10,1))))
# Test invalid C-contiguous
assert_raises(ValueError, lambda: mod.bind(np.arange(10).reshape(1,10)))