Use the df property to return the DataFrame that is used to ingest features while running the feature process.
Example setup
>>> load_example_data('dataframe', 'sales')
>>> df = DataFrame("sales")
Example
Create a feature process.
>>> fp = FeatureProcess(repo="vfs_test", ... df=df, ... entity="accounts", ... features=["Jan", "Feb", "Mar", "Apr"] ... )
>>> fp.df
accounts Feb Jan Mar Apr datetime 0 Blue Inc 90.0 50.0 95.0 101.0 04/01/2017 1 Alpha Co 210.0 200.0 215.0 250.0 04/01/2017 2 Jones LLC 200.0 150.0 140.0 180.0 04/01/2017 3 Yellow Inc 90.0 NaN NaN NaN 04/01/2017 4 Red Inc 200.0 150.0 140.0 NaN 04/01/2017 5 Orange Inc 210.0 NaN NaN 250.0 04/01/2017