abacusai.forecasting_analysis_graph_data — AbacusAI documentation

# `abacusai.forecasting_analysis_graph_data`

## Module Contents

### Classes

`ForecastingAnalysisGraphData` | Forecasting Analysis Graph Data representation.

class abacusai.forecasting_analysis_graph_data.ForecastingAnalysisGraphData(client, data=None, xAxis=None, yAxis=None, dataColumns=None, chartName=None, chartTypes=None, itemStatistics={}, chartDescriptions={})

  Bases: `abacusai.return_class.AbstractApiClass`

  Forecasting Analysis Graph Data representation.

  Parameters:

    - client (ApiClient) – An authenticated API Client instance

    - data (list) – List of graph data

    - xAxis (str) – Feature that represents the x axis

    - yAxis (str) – Feature that represents the y axis

    - dataColumns (list) – Ordered name of the column for each rowwise data

    - chartName (str) – Name of the chart represented by the data

    - chartTypes (list) – Type of charts in that can exist in the current data.

    - itemStatistics (ItemStatistics) – In item wise charts, gives the mean, median, count, missing_percent, p10, p90, standard_deviation, min, max

    - chartDescriptions (EdaChartDescription) – List of descriptions of what the chart contains

  __repr__()

    Return repr(self).

  to_dict()

    Get a dict representation of the parameters in this class

    Returns:

      The dict value representation of the class parameters

    Return type:

      dict