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(most recent call last): File "read.py", line 8, in <module> data = json.load(f) File "/usr/lib/python2.7/json/__init__.py", line 291, in load **kw) File "/usr/lib/python2.7/json/__init__.py", line 339, in loads return _default_decoder.decode(s) File "/usr/lib/python2.7/json/decoder.py", line 367, in decode raise ValueError(errmsg("Extra data", s, end, len(s)))ValueError: Extra data: line 68 column 1 - line 202 column 1 (char 3182 - 9548)shell returned 1当我运行大文件时。 最佳答案 我有一个包含数百个JSON行的文件。不,您没有,这就是问题所在。数百个JSON文本不是有效的JSON文件。有效的JSON文件只是一个文本。这就是json.load返回错误的原因。数以百计的JSON文本正好位于一行上,并且它们之间的换行符是有效格式的其他格式的文件,例如JSONlines或NDJ。它仍然不是有效的JSON文件,因此您不能使用json.load,但是可以使用JSONlines或NDJ库,或者只是这样解析它:with open('fixed.json') as f: for line in f: data = json.loads(line) # do stuff同样,要编写JSONlines文件,您可以使用JSONlines库,或者可以确保每个JSON文本都没有嵌入的换行符-如果未指定非默认的ensure_ascii或参数-只需为每个值写出indent即可。但是,每条占用多行的数百个JSON文本不是有效的任何文件。这实际上是explained in the json.dumps(data) + "\n" module docs: 注意与json和pickle不同,JSON不是框架协议,因此尝试使用相同的fp重复调用marshal序列化多个对象将导致无效的JSON文件。“非成帧协议”的意思基本上是该格式是模棱两可的。例如,如果先执行dump(),然后再执行json.dump(2, f),则文件中的内容为json.dump(3, f)。您从23获得的结果与此相同。如果您可以将文件修复为有效的东西(例如JSONlines),那么这就是简单的解决方案。如果你不能...好吧,在标准化之前,有一个“ JSON文档”的概念,这基本上意味着一个JSON文本,可以是数组或对象。 JSON文档流也不是模棱两可。由于这不是标准格式,因此您可能不会为其找到解析器,因此您必须自己编写一个。一种方法是使用json.dump(23, f)模块中的raw_decode方法。这将尝试解码JSON文本(可能在其后添加其他内容),并将索引返回到该其他内容。您的情况是下一个JSON文档。由于数百个大小不大的对象,将整个文件读入内存然后进行解析可能更简单,因此我们不必担心缓冲:with open('fixed.json') as f: contents = f.read()decoder = json.JSONDecoder()while contents: data, idx = decoder.raw_decode(contents) do_stuff(data) contents = contents[idx:].lstrip()请记住,这仅在文件是JSON文档流的情况下才有效-也就是说,顶级值始终是Array或Object。此外,如果您正在手动编辑这些文件,则与JSONlines不同,JSONlines可以跳过一个错误的文本并继续解析其余文本,现在这里有一种从错误中恢复的方法,因为您不知道下一个文档的起始位置。关于python - 遍历多个json行,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/51334197/ 10-11 14:14