def tstd(a, limits=None, inclusive=(True, True), axis=0, ddof=1):
 return np.sqrt(tvar(a, limits, inclusive, axis, ddof))

def tstd ( a , limits = None , inclusive = ( True , True ) , axis = 0 , ddof = 1 ) : return np . sqrt ( tvar ( a , limits , inclusive , axis , ddof ) )
compute the trimmed sample standard deviation this function finds the sample standard deviation of given values .