Extrapolator

A general purpose that takes your data and just extrapolates it. This currently only exists in template format. As I do more work with the Surface stuff I’m sure this will get filled out more. One big target is to use

Properties and Methods

__init__(self, extrapolation_function, warning=False, **opts): 

• extrapolation_function: None | function

  the function to handle extrapolation off the interpolation grid

• warning: bool

  whether to emit a message warning about extrapolation occurring

• opts: Any

  the options to feed into the extrapolator call

find_extrapolated_points(self, gps, vals, extrap_value=nan): 

Currently super rough heuristics to determine at which points we need to extrapolate

• gps: Any

  No description…

• vals: Any

  No description…

• :returns: _

  No description…

extrap2d(self, gps, vals, extrap_kind='linear'): 

Takes a regular grid and creates a function for interpolation/extrapolation. :param gps: x, y data :type gps: ndarray :param vals: z data :type vals: ndarray :param extrap_kind: type of interpolation to do (‘cubic’ | ‘linear’ | ‘nearest’ | …) :type extrap_kind: str :param fillvalues: if true, outer edges are filled with last data point extending out. Otherwise extrapolates according to extrap_kind (default)

• fillvalues: bool

  No description…

• :returns: function

  pf: function fit to grid points for evaluation.

apply(self, gps, vals, extrap_value=nan): 

__call__(self, *args, **kwargs): 

Examples

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