Configuration Objects#
Configuration builders for the interpolation and filling functions. Each
object is created with its defaults and refined with chained with_*
methods; pass it as the method (regular grids) or config (R-trees,
gap filling) argument instead of the equivalent keyword arguments, e.g.
windowed.Bivariate.bicubic().with_half_window_size_x(10).
Windowed Interpolation on Regular Grids#
Configurations of the windowed methods (splines, polynomials, Akima, …) of Interpolation on Regular Grids.
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Parameters controlling univariate windowed interpolation on one-dimensional signals. |
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Parameters controlling the windowing interpolation on two-dimensional grids. |
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Parameters controlling the windowing interpolation on three-dimensional grids. |
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Parameters controlling the windowing interpolation on four-dimensional grids. |
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Configuration for a single-axis interpolation. |
Configuration for boundary handling in windowed interpolation. |
Geometric Interpolation on Regular Grids#
Configurations of the geometric methods (bilinear, nearest, inverse distance weighting) of Interpolation on Regular Grids.
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Parameters controlling bivariate interpolation on two-dimensional grids. |
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Parameters controlling trivariate interpolation on three-dimensional grids. |
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Parameters controlling quadrivariate interpolation on four-dimensional grids. |
Unstructured Grids#
Configurations of the R-tree interpolators of Interpolation on Unstructured Grids and Optimal Interpolation.
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Configuration for inverse distance weighting interpolation. |
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Configuration for radial basis function interpolation. |
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Configuration for kriging interpolation. |
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Configuration for window function interpolation. |
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Configuration for 4D Optimal Interpolation (BLUE) with an anisotropic covariance kernel and per-observation error variance. |
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Configuration for query operations. |
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Type of boundary check to apply. |
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Type of covariance function for Kriging interpolation. |
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Type of drift function for Universal Kriging interpolation. |
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Type of radial basis kernel. |
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Window kernel function. |
Reduced Gaussian Grids#
Configuration of the interpolation of Reduced Gaussian Grids; the functions
of pyinterp.reduced_gaussian build it from their keyword arguments.
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Parameters controlling the interpolation of reduced Gaussian grids. |
Gap Filling#
Configurations of the algorithms of Gap Filling.
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Configuration for FFT Inpaint fill method. |
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Configuration for Gauss-Seidel fill method. |
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Configuration for LOESS fill method. |
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Configuration for Multigrid fill method. |
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Initial guess strategy for iterative fill methods. |
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Type of values processed by the LOESS filter. |