load_sedative1000_data

MDDC.datasets.load_sedative1000_data(desc=False, as_dataframe=True)

A 1001 by 11 data matrix of a contingency table processed from FDA Adverse Event Reporting System (FAERS) database from the first quarter of 2021 to the fourth quarter of 2023.

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 (1001, 11) is returned. If as_dataframe is False, a numpy.ndarray with shape (1001, 11) is returned along with the description.

Data Source

The quarterly files can be found at https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html .

Examples

>>> from MDDC.datasets import load_sedative1000_data
>>> sedative = load_sedative1000_data()