def __init__(self, **kwargs):
Data.__init__(self)
self.count = 0
self.mean = None
self.variance = None
self.skew = None
self.kurtosis = None
if "samples" in kwargs:
s = ZeroMoment2Stats(ZeroMoment.new_instance(kwargs["samples"]))
self.count = s.count
self.mean = s.mean
self.variance = s.variance
self.skew = s.skew
self.kurtosis = s.kurtosis
return
if "count" not in kwargs:
self.count = 0
self.mean = None
self.variance = None
self.skew = None
self.kurtosis = None
elif "mean" not in kwargs:
self.count = kwargs["count"]
self.mean = None
self.variance = None
self.skew = None
self.kurtosis = None
elif "variance" not in kwargs and "std" not in kwargs:
self.count = kwargs["count"]
self.mean = kwargs["mean"]
self.variance = 0
self.skew = None
self.kurtosis = None
elif "skew" not in kwargs:
self.count = kwargs["count"]
self.mean = kwargs["mean"]
self.variance = kwargs["variance"] if "variance" in kwargs else kwargs["std"] ** 2
self.skew = None
self.kurtosis = None
elif "kurtosis" not in kwargs:
self.count = kwargs["count"]
self.mean = kwargs["mean"]
self.variance = kwargs["variance"] if "variance" in kwargs else kwargs["std"] ** 2
self.skew = kwargs["skew"]
self.kurtosis = None
else:
self.count = kwargs["count"]
self.mean = kwargs["mean"]
self.variance = kwargs["variance"] if "variance" in kwargs else kwargs["std"] ** 2
self.skew = kwargs["skew"]
self.kurtosis = kwargs["kurtosis"]
