load_statin49_data#
- MDDC.datasets.load_statin49_data(desc=False, as_dataframe=True)#
A 50 by 7 data matrix of a contingency table processed from FDA Adverse Event Reporting System (FAERS) database from the third quarter of 2014 to the fourth quarter of 2020.
Read more in the User Guide.
Parameters#
- descboolean, optional
If set to True, the function will return the description along with the data. If set to False, the description will not be included. Defaults to False.
- as_dataframeboolean, optional
Determines whether the function should return the data as a pandas DataFrame (Trues) or as a numpy array (False). Defaults to True.
Returns#
- datapandas.DataFrame, if as_dataframe is True
Dataframe of the data with shape (n_samples, n_features + class).
- (desc, data)tuple, if desc is True.
If as_dataframe is True, a tuple containing the description and a pandas.DataFrame with shape (50, 7) is returned. If as_dataframe is False, a numpy.ndarray with shape (50, 7) is returned along with the description.
Data Source#
Examples#
>>> from MDDC.datasets import load_statin49_data >>> statin49 = load_statin49_data()