我所拥有的:
Series\ u dataframe=数据帧
0 {‘a’:0, ‘b’:’one’, ‘c’:0}
1 {‘a’:1, ‘b’:’two’, ‘c’:1}
2 {‘a’:2, ‘b’:’three’, ‘c’:2}
3 {‘a’:3, ‘b’:’four; ‘c’:3}
4 {‘a’:4, ‘b’:’five’, ‘c’:4}
5 {‘a’:5, ‘b’:’six’, ‘c’:5}
6 {‘a’:6, ‘b’:’seven’, ‘c’:6}
7 {‘a’:7, ‘b’:’eight’, ‘c’:7}
8 {‘a’:8, ‘b’:’nine’, ‘c’:8}
9 {‘a’:9, ‘b’:’ten’, ‘c’:9}
10 {‘a’:10, ‘b’:’eleven’, ‘c’:10}
如果我输入多个分区…例如,如果分区=5:
我想要的是:一个数据帧,其中的值是一个字典列表
数据帧
0 [{‘a’:0, ‘b’:’one’, ‘c’:0}, {‘a’:1, ‘b’:’two’, ‘c’:1}, {‘a’:2, ‘b’:’three’, ‘c’:2}, {‘a’:3, ‘b’:’four; ‘c’:3}, {‘a’:4, ‘b’:’five’, ‘c’:4}]
1 [{‘a’:5, ‘b’:’six’, ‘c’:5}, {‘a’:6, ‘b’:’seven’, ‘c’:6}, {‘a’:7, ‘b’:’eight’, ‘c’:7}, {‘a’:8, ‘b’:’nine’, ‘c’:8}, {‘a’:9, ‘b’:’ten’, ‘c’:9}]
2 [{‘a’:10, ‘b’:’eleven’, ‘c’:10}]
我尝试的是:
Series_dataframe.groupby(np.arange(Series_dataframe.shape[0]) // partitions)
使用
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