map2loop.interpolators.DipDipDirectionInterpolator#

class map2loop.interpolators.DipDipDirectionInterpolator(data_type=None)#

Initialiser of for IDWInterpolator

Methods

`__init__`([data_type])	Initialiser of for IDWInterpolator
`interpolate`(ni[, interpolator])	Inverse Distance Weighting interpolation method
`setup_grid`(bounding_box)	Setup the grid for interpolation
`setup_interpolation`(structure_data)	Setup the interpolation method
`type`()	Getter for subclass type label

interpolate(ni: ~numpy.ndarray | list, interpolator: ~typing.Any = <class 'scipy.interpolate._rbf.Rbf'>)#

Inverse Distance Weighting interpolation method

Parameters:

ni (int) – value to interpolate
interpolator – type of interpolator to use by default SciPy Rbf interpolator

Returns:

Rbf – radial basis function object

setup_grid(bounding_box: dict)#

Setup the grid for interpolation

Parameters:

bounding_box (dict) – a dictionary containing the bounding box of the map data.
format (The bounding box dictionary should comply with the following) –
{ “minx”: value, “maxx”: value, “miny”: value, “maxy”: value,
}

setup_interpolation(structure_data: DataFrame)#

Setup the interpolation method

Parameters:: structure_data (pandas.DataFrame) – sampled structural data

type()#

Getter for subclass type label