def _fitstart(self, x):
 loc = np.min([x.min(), 0])
 a = (4 / (stats.skew(x) ** 2))
 scale = (np.std(x) / np.sqrt(a))
 return (a, loc, scale)

def _fitstart ( self , x ) : loc = np . min ( [ x . min ( ) , 0 ] ) a = ( 4 / ( stats . skew ( x ) ** 2 ) ) scale = ( np . std ( x ) / np . sqrt ( a ) ) return ( a , loc , scale )
example method .