Load

Get underlying data

forecast.load(file: str, file_types: Optional[List[str]] = None, data_files: Optional[Dict[Any, Any]] = None, add_extension: bool = False) -> pandas.core.frame.DataFrame

Load custom file into dataframe.

Parameters
----------
file: str
    Path to file
file_types: list
    Supported file types
data_files: dict
    Contains all available data files within the Export folder
add_extension:
    Takes a file name and tries loading with csv or xlsx extension

Returns
-------
pd.DataFrame:
    Dataframe with custom data