def _get_numeric_vars()

in causalml/metrics/visualize.py [0:0]

• 17 lines of code
• 5 McCabe index (conditional complexity)

def _get_numeric_vars(X, threshold=5):
    """Attempt to determine which variables are numeric and which
    are categorical. The threshold for a 'continuous' variable
    is set to 5 by default.
    """

    cont = [
        (not hasattr(X.iloc[:, i], "cat")) and (X.iloc[:, i].nunique() >= threshold)
        for i in range(X.shape[1])
    ]

    prop = [X.iloc[:, i].nunique() == 2 for i in range(X.shape[1])]

    cont_cols = list(X.loc[:, cont].columns)
    prop_cols = list(X.loc[:, prop].columns)

    dropped = set(X.columns) - set(cont_cols + prop_cols)

    if dropped:
        logger.info(
            'Some non-binary variables were dropped because they had fewer than {} unique values or were of the \
                     dtype "cat". The dropped variables are: {}'.format(
                threshold, dropped
            )
        )

    return cont_cols, prop_cols