pyair/stats.py
def min(a, rep=0.75, **kwargs):
    """Compute the min along a 1D array like ma.mean,
    but with a representativity coefficient : if ma.count(a)/ma.size(a)>=rep,
    then the result is a masked value
    """
    return rfunc(a, ma.min, rep, **kwargs)
def min(a, rep=0.75, **kwargs):
    """Compute the min along a 1D array like ma.mean,
    but with a representativity coefficient : if ma.count(a)/ma.size(a)>=rep,
    then the result is a masked value
    """
    return rfunc(a, ma.min, rep, **kwargs)
def min ( a , rep = 0.75 , * * kwargs ) : return rfunc ( a , ma . min , rep , * * kwargs )
Compute the min along a 1D array like ma.mean,
    but with a representativity coefficient : if ma.count(a)/ma.size(a)>=rep,
    then the result is a masked value
Compute the min along a 1D array like ma . mean but with a representativity coefficient : if ma . count ( a ) / ma . size ( a ) > = rep then the result is a masked value