:py:mod:`abacusai.forecasting_analysis_graph_data`
==================================================

.. py:module:: abacusai.forecasting_analysis_graph_data


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   abacusai.forecasting_analysis_graph_data.ForecastingAnalysisGraphData




.. 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:method:: __repr__()

      Return repr(self).


   .. 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



