使用lambda功能：
q = 0.22
df1 = df.groupby('lvl_1')['value'].agg(['min','max',lambda x: x.quantile(q)])
print (df1)
min max <lambda>
lvl_1
di 0.275401 0.530000 0.294589
fi 0.054363 0.848818 0.136555
q = 0.22
f = lambda x: x.quantile(q)
f.__name__ = 'custom_quantile'
df1 = df.groupby('lvl_1')['value'].agg(['min','max',f])
print (df1)
min max custom_quantile
lvl_1
di 0.275401 0.530000 0.294589
fi 0.054363 0.848818 0.136555
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