pdstools.ih.Plots ================= .. py:module:: pdstools.ih.Plots Classes ------- .. autoapisummary:: pdstools.ih.Plots.Plots Module Contents --------------- .. py:class:: Plots(ih: pdstools.ih.IH.IH) Bases: :py:obj:`pdstools.utils.namespaces.LazyNamespace` .. py:attribute:: ih .. py:method:: overall_gauges(condition: Union[str, polars.Expr], *, metric: Optional[str] = 'Engagement', by: Optional[str] = 'Channel', reference_values: Optional[Dict[str, float]] = None, title: Optional[str] = None, query: Optional[pdstools.utils.types.QUERY] = None, return_df: Optional[bool] = False) .. py:method:: response_count_tree_map(*, by: Optional[List[str]] = None, title: Optional[str] = None, query: Optional[pdstools.utils.types.QUERY] = None, facet: Optional[str] = None, return_df: Optional[bool] = False) .. py:method:: success_rate_tree_map(*, metric: Optional[str] = 'Engagement', by: Optional[List[str]] = None, title: Optional[str] = None, query: Optional[pdstools.utils.types.QUERY] = None, facet: Optional[str] = None, return_df: Optional[bool] = False) .. py:method:: action_distribution(*, by: Optional[str] = 'Name', title: Optional[str] = 'Action Distribution', query: Optional[pdstools.utils.types.QUERY] = None, facet: Optional[str] = None, return_df: Optional[bool] = False) .. py:method:: success_rate(*, metric: Optional[str] = 'Engagement', every: Union[str, datetime.timedelta] = '1d', title: Optional[str] = None, query: Optional[pdstools.utils.types.QUERY] = None, facet: Optional[str] = None, return_df: Optional[bool] = False) .. py:method:: response_count(*, every: Union[str, datetime.timedelta] = '1d', title: Optional[str] = 'Responses', query: Optional[pdstools.utils.types.QUERY] = None, facet: Optional[str] = None, return_df: Optional[bool] = False) .. py:method:: model_performance_trend(*, metric: Optional[str] = 'Engagement', every: Union[str, datetime.timedelta] = '1d', by: Optional[str] = None, title: Optional[str] = 'Model Performance over Time', query: Optional[pdstools.utils.types.QUERY] = None, facet: Optional[str] = None, return_df: Optional[bool] = False)