Implementation is (probably) parallel to read_csv:
def read_csv(
filename,
dataset_class=dataset.pandas_dataset.PandasDataset,
expectations_config=None,
*args, **kwargs
):
df = pd.read_csv(filename, *args, **kwargs)
df = _convert_to_dataset_class(df, dataset_class, expectations_config)
return df
I'm working with a lot of SAS datasets nowadays (ugh). Would a read_sas be welcomed?
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I can take a crack at this one!
Most helpful comment
I can take a crack at this one!