copulas/univariate/kde.py
def percent_point(self, U):
        """Given a cdf value, returns a value in original space.

        Args:
            U: `int` or `float` cdf value in [0,1]

        Returns:
            float: value in original space
        """
        self.check_fit()

        if not 0 < U < 1:
            raise ValueError('cdf value must be in [0,1]')

        return scipy.optimize.brentq(self.cumulative_distribution, -1000.0, 1000.0, args=(U))
Given a cdf value, returns a value in original space.

        Args:
            U: `int` or `float` cdf value in [0,1]

        Returns:
            float: value in original space
        
Given a cdf value, returns a value in original space.
Given a cdf value returns a value in original space .
def percent_point(self, U):
        self.check_fit()
        if not 0 < U < 1:
            raise ValueError('cdf value must be in [0,1]')
        return scipy.optimize.brentq(self.cumulative_distribution, -1000.0, 1000.0, args=(U))
def percent_point ( self , U ) : self . check_fit ( ) if not 0 < U < 1 : raise ValueError ( 'cdf value must be in [0,1]' ) return scipy . optimize . brentq ( self . cumulative_distribution , - 1000.0 , 1000.0 , args = ( U ) )
Given a cdf value, returns a value in original space.
Given a cdf value returns a value in original space .
"""Given a cdf value, returns a value in original space.

        Args:
            U: `int` or `float` cdf value in [0,1]

        Returns:
            float: value in original space
        """
value in original space
value in original space
float
self
U
`int` or `float` cdf value in [0,1]
` int ` or ` float ` cdf value in [ 0 1 ]