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Python interpolate.barycentric_interpolate方法代码示例

本文整理汇总了Python中scipy.interpolate.barycentric_interpolate方法的典型用法代码示例。如果您正苦于以下问题:Python interpolate.barycentric_interpolate方法的具体用法?Python interpolate.barycentric_interpolate怎么用?Python interpolate.barycentric_interpolate使用的例子?那么, 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scipy.interpolate的用法示例。


在下文中一共展示了interpolate.barycentric_interpolate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_f

# 需要导入模块: from scipy import interpolate [as 别名]
# 或者: from scipy.interpolate import barycentric_interpolate [as 别名]
def test_f(self):
        """Interpolation of function f with a polynomial p at the equidistant
        points x[k] = −1 + 2 * (k / n), k = 0, ..., n."""

        n = 20  # n points, so polynomial would be of degree n - 1.
        xs = [-1 + 2 * (k / n) for k in range(n)]
        ys = [f(x) for x in xs]

        for i in range(20):
            x0 = uniform(-1.0, 1.0)

            y0 = self.algorithm(xs, ys, x0)
            bi0 = barycentric_interpolate(xs, ys, x0)

            self.assertAlmostEqual(bi0, np.array(y0), 4) 
开发者ID:nbro,项目名称:ands,代码行数:17,代码来源:polynomial_interpolation_tests.py

示例2: test_g

# 需要导入模块: from scipy import interpolate [as 别名]
# 或者: from scipy.interpolate import barycentric_interpolate [as 别名]
def test_g(self):
        """Example taken from:
        https://en.wikiversity.org/wiki/Numerical_Analysis/Neville%27s_algorithm_examples"""
        xs = [16, 64, 100]
        ys = [g(x) for x in xs]
        x0 = 81

        y0 = self.algorithm(xs, ys, x0)
        bi0 = barycentric_interpolate(xs, ys, x0)

        self.assertAlmostEqual(bi0, np.array(y0), 4) 
开发者ID:nbro,项目名称:ands,代码行数:13,代码来源:polynomial_interpolation_tests.py

示例3: _interpolate_scipy_wrapper

# 需要导入模块: from scipy import interpolate [as 别名]
# 或者: from scipy.interpolate import barycentric_interpolate [as 别名]
def _interpolate_scipy_wrapper(x, y, new_x, method, fill_value=None,
                               bounds_error=False, order=None, **kwargs):
    """
    passed off to scipy.interpolate.interp1d. method is scipy's kind.
    Returns an array interpolated at new_x.  Add any new methods to
    the list in _clean_interp_method
    """
    try:
        from scipy import interpolate
        from pandas import DatetimeIndex
    except ImportError:
        raise ImportError('{0} interpolation requires Scipy'.format(method))

    new_x = np.asarray(new_x)

    # ignores some kwargs that could be passed along.
    alt_methods = {
        'barycentric': interpolate.barycentric_interpolate,
        'krogh': interpolate.krogh_interpolate,
        'piecewise_polynomial': interpolate.piecewise_polynomial_interpolate,
    }

    if getattr(x, 'is_all_dates', False):
        # GH 5975, scipy.interp1d can't hande datetime64s
        x, new_x = x.values.astype('i8'), new_x.astype('i8')

    try:
        alt_methods['pchip'] = interpolate.pchip_interpolate
    except AttributeError:
        if method == 'pchip':
            raise ImportError("Your version of scipy does not support "
                              "PCHIP interpolation.")

    interp1d_methods = ['nearest', 'zero', 'slinear', 'quadratic', 'cubic',
                        'polynomial']
    if method in interp1d_methods:
        if method == 'polynomial':
            method = order
        terp = interpolate.interp1d(x, y, kind=method, fill_value=fill_value,
                                    bounds_error=bounds_error)
        new_y = terp(new_x)
    elif method == 'spline':
        terp = interpolate.UnivariateSpline(x, y, k=order)
        new_y = terp(new_x)
    else:
        method = alt_methods[method]
        new_y = method(x, y, new_x)
    return new_y 
开发者ID:ktraunmueller,项目名称:Computable,代码行数:50,代码来源:common.py


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