copulas/univariate/gaussian.py
def sample(self, num_samples=1):
        """Returns new data point based on model.

        Arguments:
            n_samples: `int`

        Returns:
            np.ndarray: Generated samples
        """
        self.check_fit()
        return np.random.normal(self.mean, self.std, num_samples)
Returns new data point based on model.

        Arguments:
            n_samples: `int`

        Returns:
            np.ndarray: Generated samples
        
Returns new data point based on model.
Returns new data point based on model .
def sample(self, num_samples=1):
        self.check_fit()
        return np.random.normal(self.mean, self.std, num_samples)
def sample ( self , num_samples = 1 ) : self . check_fit ( ) return np . random . normal ( self . mean , self . std , num_samples )
Returns new data point based on model.
Returns new data point based on model .
"""Returns new data point based on model.

        Arguments:
            n_samples: `int`

        Returns:
            np.ndarray: Generated samples
        """
None
np.ndarray
self
num_samples
n_samples
None