所以，在编程方面，我总是一个菜鸟，特别是python。我正在尝试合并两个文件（根据我的要求）并将结果存储到输出文件中。我很容易做到合并，但我面临的问题是数据格式。 您看，输出文件中的数据必须与输入文件的格式相同
这些是我的输入文件：
File1中：
ID,CLASS,BOARD_ID
3620694,Smart,233049933699
3620724,Smart,233200309044
3620819,Smart,233200971094
3620831,Smart,233201075614
3620865,Smart,233201516374
3620870,Smart,233201553354
3620906,Smart,233201863244
3620929,Smart,233201972254
3620963,Smart,233202244014
3621008,Smart,233202600234
3621107,Smart,233203534474
3621158,Smart,233204019454
3621179,Smart,233204093854
3621252,Smart,233204801364
3621254,Smart,233204815324
3621266,Smart,233205000144
3621275,Smart,233205104774
3621288,Smart,233205182584
文件2：
CDUS,CBSCS,CTRS,CTRS_ID
0,0,0.000000000375,233010056572
0,0,4.0746,233200309044
0,0,0.6182,233200971094
0,0,15.4834,233201075614
0,0,2.2459,233201516374
0,0,0.148,233201553354
0,0,0.0468,233201863244
0,0,0.5045,233201972254
0,0,0.0000000000485,233049933699
所以这是我的python脚本：
import pandas
#pandas.set_option('display.precision',13)
csv1 = pandas.read_csv('OUTPUT_1707000867_BundleCrossCellData_45432477_0_0.txt',dtype={'BOARD_ID': str})
csv2 = pandas.read_csv('I2.txt',dtype={'CTRS_ID': str}).rename(columns={'CTRS_ID':'BOARD_ID'})
merged = pandas.merge(csv1, csv2,left_on=['BOARD_ID'],right_on=['BOARD_ID'],how='left',suffixes=('#x', '#y'), sort=True)
merged.to_csv("Op2.txt", index=False,date_format='%Y/%m/%d %H:%M:%S.000',float_format='%.13f')
执行时收到的输出：
Op.txt
ID,CLASS,BOARD_ID,CDUS,CBSCS,CTRS
3620694,Smart,233049933699,0.0000000000000,0.0000000000000,0.0000000000485
3620724,Smart,233200309044,0.0000000000000,0.0000000000000,4.0746000000000
3620819,Smart,233200971094,0.0000000000000,0.0000000000000,0.6182000000000
3620831,Smart,233201075614,0.0000000000000,0.0000000000000,15.4834000000000
3620865,Smart,233201516374,0.0000000000000,0.0000000000000,2.2459000000000
3620870,Smart,233201553354,0.0000000000000,0.0000000000000,0.1480000000000
3620906,Smart,233201863244,0.0000000000000,0.0000000000000,0.0468000000000
3620929,Smart,233201972254,0.0000000000000,0.0000000000000,0.5045000000000
3620963,Smart,233202244014,,,
3621008,Smart,233202600234,,,
3621107,Smart,233203534474,,,
3621158,Smart,233204019454,,,
3621179,Smart,233204093854,,,
3621252,Smart,233204801364,,,
3621254,Smart,233204815324,,,
3621266,Smart,233205000144,,,
3621275,Smart,233205104774,,,
3621288,Smart,233205182584,,,
预期产出：
ID,CLASS,BOARD_ID,CDUS,CBSCS,CTRS
3620694,Smart,233049933699,0,0,0.0000000000485
3620724,Smart,233200309044,0,0,4.0746000000000
3620819,Smart,233200971094,0,0,0.6182000000000
3620831,Smart,233201075614,0,0,15.4834000000000
3620865,Smart,233201516374,0,0,2.2459000000000
3620870,Smart,233201553354,0,0,0.1480000000000
3620906,Smart,233201863244,0,0,0.0468000000000
3620929,Smart,233201972254,0,0,0.5045000000000
3620963,Smart,233202244014,,,
3621008,Smart,233202600234,,,
3621107,Smart,233203534474,,,
3621158,Smart,233204019454,,,
3621179,Smart,233204093854,,,
3621252,Smart,233204801364,,,
3621254,Smart,233204815324,,,
3621266,Smart,233205000144,,,
3621275,Smart,233205104774,,,
3621288,Smart,233205182584,,,
正如您在Op.txt中看到的，CDUS和CBSCS的值与File2.txt中的格式不同。出于显而易见的原因，两者必须采用相同的格式。
有没有办法解决这个问题？
此外，由于输入文件是在运行时生成的，因此我无法静态地将某个列类型转换为特定类型。
我还引用了以下链接，但没有找到合适的解决方案。非常感谢任何帮助。
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