mdr/utils/utils.py
def entropy(X, base=2):
    """Calculates the entropy, H(X), in the given base

    Parameters
    ----------
    X: array-like (# samples)
        An array of values for which to compute the entropy
    base: integer (default: 2)
        The base in which to calculate entropy

    Returns
    ----------
    entropy: float
        The entropy calculated according to the equation H(X) = -sum(p_x * log p_x) for all states of X

    """
    return scipy.stats.entropy(list(Counter(X).values()), base=base)
def entropy(X, base=2):
    """Calculates the entropy, H(X), in the given base

    Parameters
    ----------
    X: array-like (# samples)
        An array of values for which to compute the entropy
    base: integer (default: 2)
        The base in which to calculate entropy

    Returns
    ----------
    entropy: float
        The entropy calculated according to the equation H(X) = -sum(p_x * log p_x) for all states of X

    """
    return scipy.stats.entropy(list(Counter(X).values()), base=base)
def entropy ( X , base = 2 ) : return scipy . stats . entropy ( list ( Counter ( X ) . values ( ) ) , base = base )
Calculates the entropy, H(X), in the given base

    Parameters
    ----------
    X: array-like (# samples)
        An array of values for which to compute the entropy
    base: integer (default: 2)
        The base in which to calculate entropy

    Returns
    ----------
    entropy: float
        The entropy calculated according to the equation H(X) = -sum(p_x * log p_x) for all states of X
Calculates the entropy H ( X ) in the given base