nirs4all.controllers.charts.spectra module

SpectraChartController - Unified 2D and 3D spectra visualization controller.

class nirs4all.controllers.charts.spectra.SpectraChartController[source]

Bases: OperatorController

execute(step_info: ParsedStep, dataset: SpectroDataset, context: ExecutionContext, runtime_context: Any, source: int = -1, mode: str = 'train', loaded_binaries: Any = None, prediction_store: Any = None) → Tuple[ExecutionContext, Any][source]

Execute spectra visualization for both 2D and 3D plots. Skips execution in prediction mode.

Supports optional parameters via dict syntax:

{“chart_2d”: {“include_excluded”: True, “highlight_excluded”: True}}

Parameters:

  • include_excluded – If True, include excluded samples in visualization

  • highlight_excluded – If True, highlight excluded samples with different style

Returns:

Tuple of (context, StepOutput)

classmethod matches(step: Any, operator: Any, keyword: str) → bool[source]

Check if the operator matches the step and keyword.

priority: int = 10
classmethod supports_prediction_mode() → bool[source]

Chart controllers should skip execution during prediction mode.

classmethod use_multi_source() → bool[source]

Check if the operator supports multi-source datasets.