podpac.interpolators.ScipyPoint

class podpac.interpolators.ScipyPoint(**kwargs: Any)[source]

Bases: Interpolator

Scipy Point Interpolation

method

Current interpolation method to use in Interpolator (i.e. ‘nearest’). This attribute is set during node evaluation when a new Interpolation class is constructed. See the podpac.data.DataSource interpolation attribute for more information on specifying the interpolator method.

Type:

str

methods_supported

List of methods supported by the interpolator. This attribute should be defined by the implementing Interpolator. See podpac.data.INTERPOLATION_METHODS for list of available method strings.

Type:

list

dims_supported

List of unstacked dimensions supported by the interpolator. This attribute should be defined by the implementing Interpolator. Used by private convience method _filter_udims_supported().

Type:

list

Methods

__init__(**kwargs)

can_interpolate(udims, source_coordinates, ...)

Evaluate if this interpolation method can handle the requested coordinates and source_coordinates.

can_select(udims, source_coordinates, ...)

Evaluate if interpolator can downselect the source coordinates from the requested coordinates for the unstacked dims supplied.

init()

Overwrite this method if a Interpolator needs to do any additional initialization after the standard initialization.

interpolate(udims, source_coordinates, ...)

Interpolate data from requested coordinates to source coordinates.

select_coordinates(udims, ...[, index_type])

Downselect coordinates with interpolator method

trait_defaults(*names, **metadata)

Return a trait's default value or a dictionary of them

trait_has_value(name)

Returns True if the specified trait has a value.

trait_values(**metadata)

A dict of trait names and their values.

Attributes

definition

Interpolator definition

dims_supported

method

A trait for unicode strings.

methods_supported

name

Interpolator definition

spatial_tolerance

A float trait.

time_tolerance

A trait type representing a Union type.

Members:

__init__(**kwargs)
can_interpolate(udims, source_coordinates, eval_coordinates)[source]

Evaluate if this interpolation method can handle the requested coordinates and source_coordinates. If not overwritten, this method returns an empty tuple (tuple())

Parameters:
Returns:

Returns a tuple of dimensions that can be interpolated with this interpolator If no dimensions can be interpolated, method should return an emtpy tuple

Return type:

tuple

dims_supported = ['lat', 'lon']
interpolate(udims, source_coordinates, source_data, eval_coordinates, output_data)[source]

Interpolate data from requested coordinates to source coordinates.

Parameters:
  • udims (tuple) – dimensions to interpolate

  • source_coordinates (podpac.Coordinates) – Description

  • source_data (podpac.core.units.UnitsDataArray) – Description

  • eval_coordinates (podpac.Coordinates) – Description

  • output_data (podpac.core.units.UnitsDataArray) – Description

Raises:

NotImplementedError

Returns:

returns the updated output of interpolated data

Return type:

podpac.core.units.UnitDataArray

method

A trait for unicode strings.

methods_supported = ['nearest']
spatial_tolerance

A float trait.

time_tolerance

A trait type representing a Union type.