Question

我想将txt文件中的数据重新组织到Python中，但这是我第一次尝试，我很难弄清楚该怎么做。我想有一个DataFrame，其输出提取如下。该文件看起来像下面的摘录，但是此摘录以不同的编号重复其自身。因此，DataFrame示例中的索引列（第一个提取的索引为1，第二个索引为2，依此类推...）。请注意，我只需要文件中的3个字段：出价/要求，[]之间的第一个和第二个数据。我认为最好在Pandas下进行，但是请随时对此发表评论。

文件：

{"offset":"14726172634","bids": 
[["871094.22000","0.00200000","0.00200000","0","1081537351","29194","5","14726172633","1"],
...
["0.00050","835520.00000000","835520.00000000","0","391768510","545540","5","12603499158","0"]],"asks":[["876256.20000","0.00500000","0.00500000","0","1081621054","29194","5","14726396226","1"],
...
["9999999.00000","0.01000000","0.01000000","0","568775590","75620","5","12301971393","1"]]}

输出：

index  side  P                Q
1      bids  871094.22000     0.00200000
...
       bids  0.00050          835520.00000000
1      asks  876256.200000    0.00500000
...
       asks  9999999.00000    0.01000000

如何将txt文件转换为python

0 个答案: