Traceback (most recent call last): File "/home/k/Desktop/json_csv_interconv_movie.py", line 28, in <module> json2csv(file_name) File "/home/k/Desktop/json_csv_interconv_movie.py", line 17, in json2csv listf=json.load(jsonfile) File "/usr/lib/python3.10/json/__init__.py", line 293, in load return loads(fp.read(), File "/usr/lib/python3.10/json/__init__.py", line 346, in loads return _default_decoder.decode(s) File "/usr/lib/python3.10/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/usr/lib/python3.10/json/decoder.py", line 353, in raw_decode obj, end = self.scan_once(s, idx) json.decoder.JSONDecodeError: Expecting ',' delimiter: line 2 column 14 (char 16)
时间: 2024-02-23 19:56:14 浏览: 21
这个错误提示是JSON解码错误,说明读取JSON文件时出现了问题。具体来说,提示的错误是“Expecting ',' delimiter”,意思是期望在第二行的第14个字符(即第二行的第二个字段后面)有一个逗号分隔符(,),但是找不到这个逗号,导致解码失败。
你需要检查一下你的JSON文件是否符合JSON格式,特别是检查第二行的格式是否正确。如果第二行确实需要有逗号分隔符,则可以手动添加逗号来修复这个错误。如果JSON文件中有其他错误,也需要逐一检查并修复。
相关问题
Traceback ( most recent call last ) :File " C:/python/kfc.py " , line 8
Traceback (most recent call last): File "C:/python/kfc.py", line 8
这是Python中的错误追踪信息,通常在程序出现错误时会显示。它告诉我们在哪个文件的哪一行出现了错误。
具体来说,"Traceback (most recent call last)" 表示错误追踪的开始,它告诉我们下面的信息是最近一次调用的错误。
"File "C:/python/kfc.py", line 8" 表示错误发生在文件 "C:/python/kfc.py" 的第8行。
如果你想解决这个错误,可以打开 "C:/python/kfc.py" 文件,并检查第8行的代码,看看是否有语法错误或逻辑错误。
Broken DAG: [/root/airflow/dags/sqoop_airflow.py] Traceback (most recent call last):
As an AI language model, I cannot see the full error trace, but the error seems to indicate that there is an issue with the DAG file located at "/root/airflow/dags/sqoop_airflow.py". It is likely that there is a syntax error or an import issue within the file that is preventing it from being properly parsed by Airflow.
To troubleshoot this issue, you can try the following steps:
1. Check the syntax of the DAG file and ensure that all required packages and modules are imported correctly.
2. Verify that the file is located in the correct directory and has the correct file permissions.
3. Restart the Airflow scheduler and webserver to see if the issue persists.
4. Check Airflow's log files for more detailed error messages that may provide additional insight into the issue.