本文整理汇总了Python中numpy.polynomial.chebyshev.chebvander方法的典型用法代码示例。如果您正苦于以下问题:Python chebyshev.chebvander方法的具体用法?Python chebyshev.chebvander怎么用?Python chebyshev.chebvander使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.polynomial.chebyshev
的用法示例。
在下文中一共展示了chebyshev.chebvander方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_chebvander
# 需要导入模块: from numpy.polynomial import chebyshev [as 别名]
# 或者: from numpy.polynomial.chebyshev import chebvander [as 别名]
def test_chebvander(self):
# check for 1d x
x = np.arange(3)
v = cheb.chebvander(x, 3)
assert_(v.shape == (3, 4))
for i in range(4):
coef = [0]*i + [1]
assert_almost_equal(v[..., i], cheb.chebval(x, coef))
# check for 2d x
x = np.array([[1, 2], [3, 4], [5, 6]])
v = cheb.chebvander(x, 3)
assert_(v.shape == (3, 2, 4))
for i in range(4):
coef = [0]*i + [1]
assert_almost_equal(v[..., i], cheb.chebval(x, coef))
示例2: test_chebvander
# 需要导入模块: from numpy.polynomial import chebyshev [as 别名]
# 或者: from numpy.polynomial.chebyshev import chebvander [as 别名]
def test_chebvander(self) :
# check for 1d x
x = np.arange(3)
v = cheb.chebvander(x, 3)
assert_(v.shape == (3, 4))
for i in range(4) :
coef = [0]*i + [1]
assert_almost_equal(v[..., i], cheb.chebval(x, coef))
# check for 2d x
x = np.array([[1, 2], [3, 4], [5, 6]])
v = cheb.chebvander(x, 3)
assert_(v.shape == (3, 2, 4))
for i in range(4) :
coef = [0]*i + [1]
assert_almost_equal(v[..., i], cheb.chebval(x, coef))
示例3: test_100
# 需要导入模块: from numpy.polynomial import chebyshev [as 别名]
# 或者: from numpy.polynomial.chebyshev import chebvander [as 别名]
def test_100(self):
x, w = cheb.chebgauss(100)
# test orthogonality. Note that the results need to be normalized,
# otherwise the huge values that can arise from fast growing
# functions like Laguerre can be very confusing.
v = cheb.chebvander(x, 99)
vv = np.dot(v.T * w, v)
vd = 1/np.sqrt(vv.diagonal())
vv = vd[:, None] * vv * vd
assert_almost_equal(vv, np.eye(100))
# check that the integral of 1 is correct
tgt = np.pi
assert_almost_equal(w.sum(), tgt)