Python scipy.interpolate.PPoly() Examples

The following are 3 code examples of scipy.interpolate.PPoly(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module scipy.interpolate , or try the search function .
Example #1
Source File: _bvp.py    From lambda-packs with MIT License 6 votes vote down vote up 
def create_spline(y, yp, x, h):
    """Create a cubic spline given values and derivatives.

    Formulas for the coefficients are taken from interpolate.CubicSpline.

    Returns
    -------
    sol : PPoly
        Constructed spline as a PPoly instance.
    """
    from scipy.interpolate import PPoly

    n, m = y.shape
    c = np.empty((4, n, m - 1), dtype=y.dtype)
    slope = (y[:, 1:] - y[:, :-1]) / h
    t = (yp[:, :-1] + yp[:, 1:] - 2 * slope) / h
    c[0] = t / h
    c[1] = (slope - yp[:, :-1]) / h - t
    c[2] = yp[:, :-1]
    c[3] = y[:, :-1]
    c = np.rollaxis(c, 1)

    return PPoly(c, x, extrapolate=True, axis=1)
Example #2
Source File: _bvp.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up 
def create_spline(y, yp, x, h):
    """Create a cubic spline given values and derivatives.

    Formulas for the coefficients are taken from interpolate.CubicSpline.

    Returns
    -------
    sol : PPoly
        Constructed spline as a PPoly instance.
    """
    from scipy.interpolate import PPoly

    n, m = y.shape
    c = np.empty((4, n, m - 1), dtype=y.dtype)
    slope = (y[:, 1:] - y[:, :-1]) / h
    t = (yp[:, :-1] + yp[:, 1:] - 2 * slope) / h
    c[0] = t / h
    c[1] = (slope - yp[:, :-1]) / h - t
    c[2] = yp[:, :-1]
    c[3] = y[:, :-1]
    c = np.rollaxis(c, 1)

    return PPoly(c, x, extrapolate=True, axis=1)
Example #3
Source File: _bvp.py    From Splunking-Crime with GNU Affero General Public License v3.0 6 votes vote down vote up 
def create_spline(y, yp, x, h):
    """Create a cubic spline given values and derivatives.

    Formulas for the coefficients are taken from interpolate.CubicSpline.

    Returns
    -------
    sol : PPoly
        Constructed spline as a PPoly instance.
    """
    from scipy.interpolate import PPoly

    n, m = y.shape
    c = np.empty((4, n, m - 1), dtype=y.dtype)
    slope = (y[:, 1:] - y[:, :-1]) / h
    t = (yp[:, :-1] + yp[:, 1:] - 2 * slope) / h
    c[0] = t / h
    c[1] = (slope - yp[:, :-1]) / h - t
    c[2] = yp[:, :-1]
    c[3] = y[:, :-1]
    c = np.rollaxis(c, 1)

    return PPoly(c, x, extrapolate=True, axis=1)