在python 3中处理尽可能通用的json文件以便仅保留某些字段的最佳方法是什么？
脚本必须保留一个字段列表，仅保留这些字段并重写json文件。 没有浮点数和完全相同的类型。
示例：
输入文件（以换行符分隔的json）：
{"var_1":"result_1", "var_2": 11.2, "var_3": "result_3", "nested_obj" : { "var_4": 0.0000000333, "var_5" = "result_5"}}
{"var_1":"result_1", "var_2": 11.2, "var_3": "result_3", "nested_obj" : { "var_4": 0.0000000333, "var_5" = "result_5"}}
{"var_1":"result_1", "var_2": 11.2, "var_3": "result_3", "nested_obj" : { "var_4": 0.0000000333, "var_5" = "result_5"}}
{"var_1":"result_1", "var_2": 11.2, "var_3": "result_3", "nested_obj" : { "var_4": 0.0000000333, "var_5" = "result_5"}}
{"var_1":"result_1", "var_2": 11.2, "var_3": "result_3", "nested_obj" : { "var_4": 0.0000000333, "var_5" = "result_5"}}
Args：
fields_to_keep = [“ var_1”，“ nested_obj.var_4”]
输出文件：
{"var_1":"result_1","nested_obj" : { "var_4": 0.0000000333 }}
{"var_1":"result_1","nested_obj" : { "var_4": 0.0000000333 }}
{"var_1":"result_1","nested_obj" : { "var_4": 0.0000000333 }}
{"var_1":"result_1","nested_obj" : { "var_4": 0.0000000333 }}
{"var_1":"result_1","nested_obj" : { "var_4": 0.0000000333 }}
{"var_1":"result_1","nested_obj" : { "var_4": 0.0000000333 }}
使用pandas或json库时，我的浮动对象上有一个回合。
感谢您的帮助！