scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
Notes
Returns :
——- :
d : array
If the interpolator’s values are R-dimensional then the returned array will be the
number of derivatives by N by R. If x is a scalar, the middle dimension will be
dropped; if the yi are scalars then the last dimension will be dropped.
Construction of the interpolating polynomial is a relatively expensive process. If you want to evaluate it repeatedly
consider using the class KroghInterpolator (which is what this function uses).
piecewise_polynomial_interpolate(xi, yi, x, orders=None, der=0)
Convenience function for piecewise polynomial interpolation
Notes
Parameters
xi : array-like of length N
a sorted list of x-coordinates
yi : list of lists of length N
yi[i] is the list of derivatives known at xi[i]
x : scalar or array-like of length M
orders : list of integers, or integer
a list of polynomial orders, or a single universal order
der : integer
which single derivative to extract
Returns
y : scalar or array-like of length R or length M or M by R
If orders is None, or orders[i] is None, then the degree of the polynomial segment is exactly the degree required
to match all i available derivatives at both endpoints. If orders[i] is not None, then some derivatives will be
ignored. The code will try to use an equal number of derivatives from each end; if the total number of derivatives
needed is odd, it will prefer the rightmost endpoint. If not enough derivatives are available, an exception is raised.
Construction of these piecewise polynomials can be an expensive process; if you repeatedly evaluate the same
polynomial, consider using the class PiecewisePolynomial (which is what this function does).
3.5.2 Multivariate interpolation
interp2d(x, y, z[, kind, Interpolate over a 2D grid.
copy, ...])
Rbf(*args) A class for radial basis function approximation/interpolation of n-dimensional
scattered data.
class interp2d(x, y, z, kind=’linear’, copy=True, bounds_error=False, fill_value=nan)
Interpolate over a 2D grid.
Parameters
x, y : 1D arrays
192 Chapter 3. Reference