ess.reduce.time_of_flight.interpolator_scipy.Interpolator#

class ess.reduce.time_of_flight.interpolator_scipy.Interpolator(time_edges, distance_edges, pulse_edges, values, method='linear', bounds_error=False, fill_value=nan, **kwargs)[source]#
__init__(time_edges, distance_edges, pulse_edges, values, method='linear', bounds_error=False, fill_value=nan, **kwargs)[source]#

Interpolator for 3D regular grid data (SciPy implementation).

Parameters:

  • time_edges (ndarray) – 1D array of time edges.

  • distance_edges (ndarray) – 1D array of distance edges.

  • pulse_edges (ndarray) – 1D array of pulse edges.

  • values (ndarray) – 3D array of values on the grid. The shape must be (nz, ny, nx).

  • method (str, default: 'linear') – Method of interpolation. Default is “linear”.

  • bounds_error (bool, default: False) – If True, when interpolated values are requested outside of the domain, a ValueError is raised. If False, fill_value is used.

  • fill_value (float, default: nan) – Value to use for points outside of the grid.

  • kwargs – Additional arguments to pass to scipy.interpolate.RegularGridInterpolator.

Methods

__init__(time_edges, distance_edges, ...[, ...])

Interpolator for 3D regular grid data (SciPy implementation).