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"""========================================
Interpolation (:mod:`scipy.interpolate`)
========================================
.. currentmodule:: scipy.interpolate
Sub-package for objects used in interpolation.
As listed below, this sub-package contains spline functions and classes,
one-dimensional and multi-dimensional (univariate and multivariate)
interpolation classes, Lagrange and Taylor polynomial interpolators, and
wrappers for `FITPACK <http://www.netlib.org/dierckx/>`__
and DFITPACK functions.
Univariate interpolation
========================
.. autosummary::
:toctree: generated/
interp1d
BarycentricInterpolator
KroghInterpolator
PchipInterpolator
barycentric_interpolate
krogh_interpolate
pchip_interpolate
Akima1DInterpolator
CubicSpline
PPoly
BPoly
Multivariate interpolation
==========================
Unstructured data:
.. autosummary::
:toctree: generated/
griddata
LinearNDInterpolator
NearestNDInterpolator
CloughTocher2DInterpolator
Rbf
interp2d
For data on a grid:
.. autosummary::
:toctree: generated/
interpn
RegularGridInterpolator
RectBivariateSpline
.. seealso:: `scipy.ndimage.interpolation.map_coordinates`
Tensor product polynomials:
NdPPoly
1-D Splines
===========
.. autosummary::
:toctree: generated/
UnivariateSpline
InterpolatedUnivariateSpline
LSQUnivariateSpline
Functional interface to FITPACK functions:
.. autosummary::
:toctree: generated/
splrep
splprep
splev
splint
sproot
spalde
splder
splantider
insert
2-D Splines
===========
For data on a grid:
.. autosummary::
:toctree: generated/
RectBivariateSpline
RectSphereBivariateSpline
For unstructured data:
.. autosummary::
:toctree: generated/
BivariateSpline
SmoothBivariateSpline
SmoothSphereBivariateSpline
LSQBivariateSpline
LSQSphereBivariateSpline
Low-level interface to FITPACK functions:
.. autosummary::
:toctree: generated/
bisplrep
bisplev
Additional tools
================
.. autosummary::
:toctree: generated/
lagrange
approximate_taylor_polynomial
.. seealso::
`scipy.ndimage.interpolation.map_coordinates`,
`scipy.ndimage.interpolation.spline_filter`,
`scipy.signal.resample`,
`scipy.signal.bspline`,
`scipy.signal.gauss_spline`,
`scipy.signal.qspline1d`,
`scipy.signal.cspline1d`,
`scipy.signal.qspline1d_eval`,
`scipy.signal.cspline1d_eval`,
`scipy.signal.qspline2d`,
`scipy.signal.cspline2d`.
Functions existing for backward compatibility (should not be used in
new code):
.. autosummary::
:toctree: generated/
ppform
spleval
spline
splmake
spltopp
pchip
"""
from __future__ import division, print_function, absolute_import
from .interpolate import *
from .fitpack import *
# New interface to fitpack library:
from .fitpack2 import *
from .rbf import Rbf
from .polyint import *
from ._cubic import *
from .ndgriddata import *
__all__ = [s for s in dir() if not s.startswith('_')]
from numpy.testing import Tester
test = Tester().test
bench = Tester().bench
|
