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

        Args:
            U(numpy.array): cdf values in [0,1]

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

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

        Args:
            U(numpy.array): cdf values in [0,1]

        Returns:
            numpy.array: 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()
        return scipy.optimize.brentq(self._brentq_cdf(U), -1000.0, 1000.0)
def percent_point ( self , U ) : self . check_fit ( ) return scipy . optimize . brentq ( self . _brentq_cdf ( U ) , - 1000.0 , 1000.0 )
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(numpy.array): cdf values in [0,1]

        Returns:
            numpy.array: value in original space
        """
value in original space
value in original space
numpy.array
self
U
cdf values in [0,1]
cdf values in [ 0 1 ]