fosanalysis.utils.interpolation Namespace Reference

Contains functionality for interpolating data. More...

Functions
np.array	scipy_interpolate1d (np.array x, np.array y, np.array x_new, str method, **kwargs)
	Interpolate one-dimensional data.

Detailed Description

Contains functionality for interpolating data.

Author

Bertram Richter

Date

2023

Function Documentation

scipy_interpolate1d()

np.array fosanalysis.utils.interpolation.scipy_interpolate1d	(	np.array	x,
		np.array	y,
		np.array	x_new,
		str	method,
		**	kwargs )

Interpolate one-dimensional data.

Parameters

x	Original abcissa data.
y	Original ordinate data.
x_new	Abcissa data for the new data points. The interpolation function is evaluated at those points.
method	Name of the interpolation function to use. The interpolation function expects two parameters (x and y) and returns a callable. The returned callable should expect only a single parameter (the x_new). According to scipy.interpolate, the following options are available (consult the scipy documentation for details): "interp1d" (legacy) "BarycentricInterpolator" "KroghInterpolator" "PchipInterpolator" "Akima1DInterpolator" "CubicSpline" "make_interp_spline" "make_smoothing_spline" "UnivariateSpline" "InterpolatedUnivariateSpline"
**kwargs	Additionals keyword arguments. Will be passed to the interpolation function.

Definition at line 11 of file interpolation.py.