nlargest hierarchy series pandas

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Vanessa
20 Aug 2019
1print (grouped.groupby(level='yearmonth').nlargest(3).reset_index(level=0, drop=True))
2yearmonth  product
3201601     E          180
4           A          100
5           B           90
6201602     F          220
7           A          200
8           C          120
9201603     B          120
10           C          110
11           D          110
12Name: val, dtype: int64
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