abacusai.forecasting_analysis_graph_data ======================================== .. py:module:: abacusai.forecasting_analysis_graph_data Classes ------- .. autoapisummary:: abacusai.forecasting_analysis_graph_data.ForecastingAnalysisGraphData Module Contents --------------- .. py:class:: ForecastingAnalysisGraphData(client, data=None, xAxis=None, yAxis=None, dataColumns=None, chartName=None, chartTypes=None, itemStatistics={}, chartDescriptions={}) Bases: :py:obj:`abacusai.return_class.AbstractApiClass` Forecasting Analysis Graph Data representation. :param client: An authenticated API Client instance :type client: ApiClient :param data: List of graph data :type data: list :param xAxis: Feature that represents the x axis :type xAxis: str :param yAxis: Feature that represents the y axis :type yAxis: str :param dataColumns: Ordered name of the column for each rowwise data :type dataColumns: list :param chartName: Name of the chart represented by the data :type chartName: str :param chartTypes: Type of charts in that can exist in the current data. :type chartTypes: list :param itemStatistics: In item wise charts, gives the mean, median, count, missing_percent, p10, p90, standard_deviation, min, max :type itemStatistics: ItemStatistics :param chartDescriptions: List of descriptions of what the chart contains :type chartDescriptions: EdaChartDescription .. py:attribute:: data :value: None .. py:attribute:: x_axis :value: None .. py:attribute:: y_axis :value: None .. py:attribute:: data_columns :value: None .. py:attribute:: chart_name :value: None .. py:attribute:: chart_types :value: None .. py:attribute:: item_statistics .. py:attribute:: chart_descriptions .. py:attribute:: deprecated_keys .. py:method:: __repr__() .. py:method:: to_dict() Get a dict representation of the parameters in this class :returns: The dict value representation of the class parameters :rtype: dict