Dynamically create a DataFrameModel

[tjboller]

I much prefer DataFrameModel over DataFrameSchema for a few reasons:

I like being able to do type hinting as well as being able to dynamically access the column names so hard coding strings is a thing of the past

for example:

def foo(df: pa.DataFrame[MyDataFrameModel]) -> float:
    return df[MyDataFrameModel.my_column].mean()

However, often I cant make a DataFrameModel if the output schema depends on some runtime parameters - and thus forced to use DataFrameSchema but sadly cant use the nice features in the function above (as far as im aware).

Does anyone any workarounds?

Something like https://docs.python.org/3/library/dataclasses.html#dataclasses.make_dataclass?