我在尝试使用 Pandas 读取 csv 文件时收到 ParserError。下面给出了错误和引发此错误的数据集。
pandas.errors.ParserError: Expected 10 fields in line 8, saw 11. Error could possibly be due to quotes being ignored when a multi-char delimiter is used.
下面给出的是出现这个错误的第 8 行
10/29/18 10:20,85505306, Scott,20181029102023-file.csv, 22.49,-12.18,CITY,,12:15.0,51:00.0,ABCD,9898,320,D231
我正在使用以下命令读取 csv:
df.to_csv('file.csv'), index = False)
csv 文件的示例输出:
File_Received_Time Label1 City FileName Label2 Label3 State Unnamed: 12 cTimestamp dTimestamp Label4 Label5 Label6 Label7 Label8
10/29/18 10:20 56776 Paris file1.csv 29 29 IL 29-10-2018 04:11:11 COL06 620 398 516 451
10/29/18 10:20 46069 Hongkong file2.csv 61 58 VA 29-10-2018 04:03:17 28-10-2018 05:58:00 COL06 576 645 349 374
10/29/18 10:20 47240 Sydney file3.csv 43 42 IL 29-10-2018 04:12:46 COL06 534 2047 56831 372
10/29/18 10:20 47432 NewYork file4.csv 55 61 OH 28-10-2018 09:01:00 COL06 514 2354 640 633
10/29/18 10:20 41794 London file5.csv 39 29 29-10-2018 04:12:46 28-10-2018 09:01:00 COL06 470 2354 56831 550
10/29/18 10:20 49643 LA file6.csv 55 43 TX 29-10-2018 04:05:18 COL06 523 2301 53942 403
10/29/18 10:20 54700 Shangai file7.csv 37 29 AZ 29-10-2018 04:12:15 28-10-2018 12:51:00 COL06 569 2683 53642 538
10/29/18 10:20 37134 Singapore file8.csv 53 62 AZ 29-10-2018 04:09:16 COL06 560 391 54541 542
10/29/18 10:20 51144 Taiwan file9.csv 43 33 TX 29-10-2018 04:12:15 COL06 469 472 458 481
最佳答案
您可以解决 pandas.errors.ParserError: Error could possibly be due to quotes being ignored when a multi-char delimiter is used 通过使用:
df = pd.read_csv("train.tsv",index_col = False,sep="\t")
关于python - Pandas .errors.ParserError : Error could possibly be due to quotes being ignored when a multi-char delimiter is used，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/53066229/