openstef.plotting package¶
Submodules¶
openstef.plotting.load_forecast_plotter module¶
- class openstef.plotting.load_forecast_plotter.LoadForecastPlotter(**data)¶
Bases:
BaseModel- colormap: str¶
- colormap_range: Tuple[float, float]¶
- fill_opacity: float¶
- model_config: ClassVar[ConfigDict] = {}¶
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- plot(realized=None, forecast=None, quantiles=None)¶
Create a plot showing forecast quantiles and realized values.
Generates an interactive plotly figure displaying the forecast distribution through quantile bands, the median forecast, and the actual realized values.
- Parameters:
realized (pd.Series) – Time series of realized (actual) values.
forecast (pd.Series) – Time series of forecast values (typically the median).
quantiles (pd.DataFrame) – DataFrame containing quantile predictions. Column names should follow the format ‘quantile_P{percentile:02d}’, e.g., ‘quantile_P10’, ‘quantile_P90’.
- Returns:
A plotly figure object with the configured visualization.
- Return type:
go.Figure
- stroke_opacity: float¶
- stroke_width: float¶