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)
