Python从SQL查询创建复杂的dict

在我的项目中，我运行了一个复杂的postgresql查询，创建如下输出：

"25"    "000006"    "191215002N"    1   1.800000    "2017-01-31 00:00:00+00"    589
"25"    "000009"    "112036402G"    100 0.970000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "213008200I"    200 1.660000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "213008200N"    150 1.660000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "213008500V1"   53.5    1.930000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "213008500E"    61  1.930000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "213008500R"    56  1.930000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "213008200G"    50  1.660000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "113066592N"    20  5.583000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "199900502N"    321 0.725000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "199900602N"    360 0.680000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "217001100F"    1200    2.036000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "112031102N"    1200    0.198000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "112044602N"    800 0.600000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "112036402N"    800 0.500000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "113066702N"    800 0.600000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "113066602N"    800 0.550000    "2017-01-31 00:00:00+00"    318
"25"    "000009"    "112530780N3"   5000    0.178000    "2017-01-31 00:00:00+00"    318

现在，在python中使用for循环，我将创建一个复杂的dict，其子ct由上一个按此示例分组的列索引

 {'<last column value unique>': {<second column>: {'total':<sum of 3 column>, 'fdata': <fourth column value>},...}, '<second unique value of last column>':  {<second column>: {'total':<sum of 3 column>, 'fdata': <fourth column value>}}, ...}

但是我不明白如何用python为像这样的dict创建n my循环

有人能帮我吗

非常感谢

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A

我认为最好是根据输入而不是列数包含预期的输出。您能包括预期的输出吗？好的，添加带有数据的示例，对不起，谢谢

{'589': {'191215002N': {'total':1.80, 'fdata': '2017-01-31'}}, '318':  {'112036402G': {'total':970 'fdata': '2017-01-31'},'213008200I': {'total':332 , 'fdata': '2017-01-31'},'213008200N': {'total':249 ', fdata': '2017-01-31'}, ...}, ...}