nannyml.plots.components.joy_plot module

nannyml.plots.components.joy_plot.alert(fig: Figure, data_distributions: DataFrame, color: str, name: str, alerts: ndarray | Series, chunk_start_dates: ndarray | Series | None = None, chunk_end_dates: ndarray | Series | None = None, chunk_indices: ndarray | Series | None = None, subplot_args: Dict[str, Any] | None = None, alpha=0.3, plot_quartiles: bool = True, **kwargs) Figure[source]
nannyml.plots.components.joy_plot.calculate_chunk_distributions(data: ndarray | Series, chunker: Chunker, timestamps: ndarray | Series | None = None, data_periods: ndarray | Series | None = None, kde_cut=3, kde_clip=(-inf, inf), post_kde_clip=None)[source]
nannyml.plots.components.joy_plot.joy(fig: Figure, data_distributions: DataFrame, color: str, name: str, chunk_start_dates: ndarray | Series | None = None, chunk_end_dates: ndarray | Series | None = None, chunk_indices: ndarray | Series | None = None, subplot_args: Dict[str, Any] | None = None, alpha=0.2, plot_quartiles: bool = True, **kwargs) Figure[source]