我有一个现有的数据框,其排序如下:
In [3]: result_GB_daily_average
Out[3]:
NREL Avert
Month Day
1 1 14.718417 37.250000
2 40.381167 45.250000
3 42.512646 40.666667
4 12.166896 31.583333
5 14.583208 50.416667
6 34.238000 45.333333
7 45.581229 29.125000
8 60.548479 27.916667
9 48.061583 34.041667
10 20.606958 37.583333
11 5.418833 70.833333
12 51.261375 43.208333
13 21.796771 42.541667
14 27.118979 41.958333
15 8.230542 43.625000
16 14.233958 48.708333
17 28.345875 51.125000
18 43.896375 55.500000
19 95.800542 44.500000
20 53.763104 39.958333
21 26.171437 50.958333
22 20.372688 66.916667
23 20.594042 42.541667
24 16.889083 48.083333
25 16.416479 42.125000
26 28.459625 40.125000
27 1.055229 49.833333
28 36.798792 42.791667
29 27.260083 47.041667
30 23.584917 55.750000
... ... ...
12 2 34.491604 55.916667
3 26.444333 53.458333
4 15.088333 45.000000
5 10.213500 32.083333
6 19.087688 17.000000
7 23.078292 17.375000
8 41.523667 29.458333
9 17.173854 37.833333
10 11.488687 52.541667
11 15.203479 30.000000
12 8.390917 37.666667
13 70.067062 23.458333
14 24.281729 25.583333
15 31.826104 33.458333
16 5.085271 42.916667
17 3.778229 46.916667
18 31.276958 57.625000
19 7.399458 46.916667
20 18.531958 39.291667
21 26.831937 35.958333
22 55.514000 32.375000
23 24.018875 34.041667
24 54.454125 43.083333
25 57.379812 25.250000
26 94.520833 33.958333
27 49.693854 27.500000
28 2.406438 46.916667
29 7.133833 53.916667
30 7.829167 51.500000
31 5.584646 55.791667
我想将这个数据框分成12个不同的数据框,每个月一个,但问题是它们的长度略有不同,因为一个月的天数变化,这意味着尝试使用np.array_split失败了。如何根据Month索引拆分?
答案 0 :(得分:2)
One solution :
df=result_GB_daily_average
[df.iloc[df.index.get_level_values('Month')==i+1] for i in range(12)]
or, shorter:
[df.ix[i] for i in range(12)]