copulas/univariate/truncnorm.py
def fit(self, X):
        """Prepare necessary params and call super().fit."""
        min_ = X.min() - EPSILON
        max_ = X.max() + EPSILON
        self.mean = X.mean()
        self.std = X.std()

        super().fit(X, min_, max_)
Prepare necessary params and call super().fit.
Prepare necessary params and call super().fit.
Prepare necessary params and call super () . fit .
def fit(self, X):
        min_ = X.min() - EPSILON
        max_ = X.max() + EPSILON
        self.mean = X.mean()
        self.std = X.std()
        super().fit(X, min_, max_)
def fit ( self , X ) : min_ = X . min ( ) - EPSILON max_ = X . max ( ) + EPSILON self . mean = X . mean ( ) self . std = X . std ( ) super ( ) . fit ( X , min_ , max_ )
Prepare necessary params and call super().fit.
Prepare necessary params and call super () . fit .
"""Prepare necessary params and call super().fit."""
self
X