def describe(self): df = OrderedDict([("names", ["mean", "stdev", "count", "min", "max"])]) if stats.is_numeric(self.x)==False: return df['value'] = [stats.mean(self.x), stats.stdev(self.x), len([i for i in self if i is not None]), min(self.x), max(self.x)] return DataFrame(df)
def describe(self): df = OrderedDict([("names", ["mean", "stdev", "count", "min", "max"])]) for k, v in self: if stats.is_numeric(v.x)==False: continue df[k] = [ stats.mean(v.x), stats.stdev(v.x), len([i for i in v if i is not None]), v.min(), v.max() ] return DataFrame(df)