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191 lines
3.2 KiB
Python
191 lines
3.2 KiB
Python
"""
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========================================
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Interpolation (:mod:`scipy.interpolate`)
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========================================
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.. currentmodule:: scipy.interpolate
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Sub-package for objects used in interpolation.
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As listed below, this sub-package contains spline functions and classes,
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1-D and multidimensional (univariate and multivariate)
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interpolation classes, Lagrange and Taylor polynomial interpolators, and
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wrappers for `FITPACK <http://www.netlib.org/dierckx/>`__
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and DFITPACK functions.
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Univariate interpolation
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========================
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.. autosummary::
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:toctree: generated/
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interp1d
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BarycentricInterpolator
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KroghInterpolator
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barycentric_interpolate
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krogh_interpolate
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pchip_interpolate
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CubicHermiteSpline
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PchipInterpolator
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Akima1DInterpolator
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CubicSpline
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PPoly
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BPoly
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Multivariate interpolation
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==========================
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Unstructured data:
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.. autosummary::
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:toctree: generated/
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griddata
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LinearNDInterpolator
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NearestNDInterpolator
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CloughTocher2DInterpolator
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Rbf
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interp2d
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For data on a grid:
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.. autosummary::
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:toctree: generated/
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interpn
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RegularGridInterpolator
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RectBivariateSpline
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.. seealso::
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`scipy.ndimage.map_coordinates`
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Tensor product polynomials:
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.. autosummary::
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:toctree: generated/
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NdPPoly
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1-D Splines
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===========
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.. autosummary::
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:toctree: generated/
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BSpline
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make_interp_spline
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make_lsq_spline
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Functional interface to FITPACK routines:
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.. autosummary::
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:toctree: generated/
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splrep
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splprep
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splev
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splint
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sproot
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spalde
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splder
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splantider
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insert
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Object-oriented FITPACK interface:
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.. autosummary::
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:toctree: generated/
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UnivariateSpline
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InterpolatedUnivariateSpline
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LSQUnivariateSpline
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2-D Splines
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===========
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For data on a grid:
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.. autosummary::
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:toctree: generated/
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RectBivariateSpline
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RectSphereBivariateSpline
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For unstructured data:
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.. autosummary::
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:toctree: generated/
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BivariateSpline
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SmoothBivariateSpline
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SmoothSphereBivariateSpline
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LSQBivariateSpline
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LSQSphereBivariateSpline
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Low-level interface to FITPACK functions:
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.. autosummary::
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:toctree: generated/
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bisplrep
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bisplev
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Additional tools
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================
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.. autosummary::
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:toctree: generated/
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lagrange
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approximate_taylor_polynomial
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pade
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.. seealso::
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`scipy.ndimage.map_coordinates`,
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`scipy.ndimage.spline_filter`,
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`scipy.signal.resample`,
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`scipy.signal.bspline`,
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`scipy.signal.gauss_spline`,
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`scipy.signal.qspline1d`,
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`scipy.signal.cspline1d`,
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`scipy.signal.qspline1d_eval`,
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`scipy.signal.cspline1d_eval`,
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`scipy.signal.qspline2d`,
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`scipy.signal.cspline2d`.
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``pchip`` is an alias of `PchipInterpolator` for backward compatibility
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(should not be used in new code).
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"""
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from .interpolate import *
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from .fitpack import *
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# New interface to fitpack library:
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from .fitpack2 import *
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from .rbf import Rbf
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from .polyint import *
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from ._cubic import *
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from .ndgriddata import *
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from ._bsplines import *
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from ._pade import *
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__all__ = [s for s in dir() if not s.startswith('_')]
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from scipy._lib._testutils import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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# Backward compatibility
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pchip = PchipInterpolator
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