i = 0
for g in data_gb.groups:
rMean = data_gb.get_group(g).mean()
rMean['分类'] = g;
dMean = dMean.append(rMean, ignore_index=True)
subData = data_gb.get_group(g)
for column in cloumns_fix1:
i = i+1;
p = plt.subplot(3, 5, i)
p.set_title(column)
p.set_ylabel(str(g) + "分类")
plt.hist(subData[column], bins=20)