Python laguerre.lagfit方法代碼示例

本文整理匯總了Python中numpy.polynomial.laguerre.lagfit方法的典型用法代碼示例。如果您正苦於以下問題：Python laguerre.lagfit方法的具體用法？Python laguerre.lagfit怎麽用？Python laguerre.lagfit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numpy.polynomial.laguerre的用法示例。

在下文中一共展示了laguerre.lagfit方法的3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_lagfit

# 需要導入模塊: from numpy.polynomial import laguerre [as 別名]
# 或者: from numpy.polynomial.laguerre import lagfit [as 別名]
def test_lagfit(self):
        def f(x):
            return x*(x - 1)*(x - 2)

        # Test exceptions
        assert_raises(ValueError, lag.lagfit, [1], [1], -1)
        assert_raises(TypeError, lag.lagfit, [[1]], [1], 0)
        assert_raises(TypeError, lag.lagfit, [], [1], 0)
        assert_raises(TypeError, lag.lagfit, [1], [[[1]]], 0)
        assert_raises(TypeError, lag.lagfit, [1, 2], [1], 0)
        assert_raises(TypeError, lag.lagfit, [1], [1, 2], 0)
        assert_raises(TypeError, lag.lagfit, [1], [1], 0, w=[[1]])
        assert_raises(TypeError, lag.lagfit, [1], [1], 0, w=[1, 1])
        assert_raises(ValueError, lag.lagfit, [1], [1], [-1,])
        assert_raises(ValueError, lag.lagfit, [1], [1], [2, -1, 6])
        assert_raises(TypeError, lag.lagfit, [1], [1], [])

        # Test fit
        x = np.linspace(0, 2)
        y = f(x)
        #
        coef3 = lag.lagfit(x, y, 3)
        assert_equal(len(coef3), 4)
        assert_almost_equal(lag.lagval(x, coef3), y)
        coef3 = lag.lagfit(x, y, [0, 1, 2, 3])
        assert_equal(len(coef3), 4)
        assert_almost_equal(lag.lagval(x, coef3), y)
        #
        coef4 = lag.lagfit(x, y, 4)
        assert_equal(len(coef4), 5)
        assert_almost_equal(lag.lagval(x, coef4), y)
        coef4 = lag.lagfit(x, y, [0, 1, 2, 3, 4])
        assert_equal(len(coef4), 5)
        assert_almost_equal(lag.lagval(x, coef4), y)
        #
        coef2d = lag.lagfit(x, np.array([y, y]).T, 3)
        assert_almost_equal(coef2d, np.array([coef3, coef3]).T)
        coef2d = lag.lagfit(x, np.array([y, y]).T, [0, 1, 2, 3])
        assert_almost_equal(coef2d, np.array([coef3, coef3]).T)
        # test weighting
        w = np.zeros_like(x)
        yw = y.copy()
        w[1::2] = 1
        y[0::2] = 0
        wcoef3 = lag.lagfit(x, yw, 3, w=w)
        assert_almost_equal(wcoef3, coef3)
        wcoef3 = lag.lagfit(x, yw, [0, 1, 2, 3], w=w)
        assert_almost_equal(wcoef3, coef3)
        #
        wcoef2d = lag.lagfit(x, np.array([yw, yw]).T, 3, w=w)
        assert_almost_equal(wcoef2d, np.array([coef3, coef3]).T)
        wcoef2d = lag.lagfit(x, np.array([yw, yw]).T, [0, 1, 2, 3], w=w)
        assert_almost_equal(wcoef2d, np.array([coef3, coef3]).T)
        # test scaling with complex values x points whose square
        # is zero when summed.
        x = [1, 1j, -1, -1j]
        assert_almost_equal(lag.lagfit(x, x, 1), [1, -1])
        assert_almost_equal(lag.lagfit(x, x, [0, 1]), [1, -1])

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:60，代碼來源:test_laguerre.py

示例2: test_lagfit

# 需要導入模塊: from numpy.polynomial import laguerre [as 別名]
# 或者: from numpy.polynomial.laguerre import lagfit [as 別名]
def test_lagfit(self) :
        def f(x) :
            return x*(x - 1)*(x - 2)

        # Test exceptions
        assert_raises(ValueError, lag.lagfit, [1],    [1],     -1)
        assert_raises(TypeError,  lag.lagfit, [[1]],  [1],      0)
        assert_raises(TypeError,  lag.lagfit, [],     [1],      0)
        assert_raises(TypeError,  lag.lagfit, [1],    [[[1]]],  0)
        assert_raises(TypeError,  lag.lagfit, [1, 2], [1],      0)
        assert_raises(TypeError,  lag.lagfit, [1],    [1, 2],   0)
        assert_raises(TypeError,  lag.lagfit, [1],    [1],   0, w=[[1]])
        assert_raises(TypeError,  lag.lagfit, [1],    [1],   0, w=[1, 1])

        # Test fit
        x = np.linspace(0, 2)
        y = f(x)
        #
        coef3 = lag.lagfit(x, y, 3)
        assert_equal(len(coef3), 4)
        assert_almost_equal(lag.lagval(x, coef3), y)
        #
        coef4 = lag.lagfit(x, y, 4)
        assert_equal(len(coef4), 5)
        assert_almost_equal(lag.lagval(x, coef4), y)
        #
        coef2d = lag.lagfit(x, np.array([y, y]).T, 3)
        assert_almost_equal(coef2d, np.array([coef3, coef3]).T)
        # test weighting
        w = np.zeros_like(x)
        yw = y.copy()
        w[1::2] = 1
        y[0::2] = 0
        wcoef3 = lag.lagfit(x, yw, 3, w=w)
        assert_almost_equal(wcoef3, coef3)
        #
        wcoef2d = lag.lagfit(x, np.array([yw, yw]).T, 3, w=w)
        assert_almost_equal(wcoef2d, np.array([coef3, coef3]).T)
        # test scaling with complex values x points whose square
        # is zero when summed.
        x = [1, 1j, -1, -1j]
        assert_almost_equal(lag.lagfit(x, x, 1), [1, -1])

開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:44，代碼來源:test_laguerre.py

示例3: test_lagfit

# 需要導入模塊: from numpy.polynomial import laguerre [as 別名]
# 或者: from numpy.polynomial.laguerre import lagfit [as 別名]
def test_lagfit(self):
        def f(x):
            return x*(x - 1)*(x - 2)

        # Test exceptions
        assert_raises(ValueError, lag.lagfit, [1], [1], -1)
        assert_raises(TypeError, lag.lagfit, [[1]], [1], 0)
        assert_raises(TypeError, lag.lagfit, [], [1], 0)
        assert_raises(TypeError, lag.lagfit, [1], [[[1]]], 0)
        assert_raises(TypeError, lag.lagfit, [1, 2], [1], 0)
        assert_raises(TypeError, lag.lagfit, [1], [1, 2], 0)
        assert_raises(TypeError, lag.lagfit, [1], [1], 0, w=[[1]])
        assert_raises(TypeError, lag.lagfit, [1], [1], 0, w=[1, 1])

        # Test fit
        x = np.linspace(0, 2)
        y = f(x)
        #
        coef3 = lag.lagfit(x, y, 3)
        assert_equal(len(coef3), 4)
        assert_almost_equal(lag.lagval(x, coef3), y)
        #
        coef4 = lag.lagfit(x, y, 4)
        assert_equal(len(coef4), 5)
        assert_almost_equal(lag.lagval(x, coef4), y)
        #
        coef2d = lag.lagfit(x, np.array([y, y]).T, 3)
        assert_almost_equal(coef2d, np.array([coef3, coef3]).T)
        # test weighting
        w = np.zeros_like(x)
        yw = y.copy()
        w[1::2] = 1
        y[0::2] = 0
        wcoef3 = lag.lagfit(x, yw, 3, w=w)
        assert_almost_equal(wcoef3, coef3)
        #
        wcoef2d = lag.lagfit(x, np.array([yw, yw]).T, 3, w=w)
        assert_almost_equal(wcoef2d, np.array([coef3, coef3]).T)
        # test scaling with complex values x points whose square
        # is zero when summed.
        x = [1, 1j, -1, -1j]
        assert_almost_equal(lag.lagfit(x, x, 1), [1, -1])

開發者ID:pfchai，項目名稱:ImageFusion，代碼行數:44，代碼來源:test_laguerre.py

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