将Pandas DataFrame转换为JSON格式 | DataFrame转换为JSON格式

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问题描述

我有一个熊猫DataFrame，其中有两列-一列是文件名，一列是生成小时的时间:

I have a Pandas DataFrame with two columns – one with the filename and one with the hour in which it was generated:

 File       Hour
  F1         1
  F1         2
  F2         1
  F3         1

我正在尝试将其转换为以下格式的JSON文件:

I am trying to convert it to a JSON file with the following format:

{"File":"F1","Hour":"1"}
{"File":"F1","Hour":"2"}
{"File":"F2","Hour":"1"}
{"File":"F3","Hour":"1"}

当我使用命令DataFrame.to_json(orient = "records")时，我得到以下格式的记录:

When I use the command DataFrame.to_json(orient = "records"), I get the records in the below format:

[{"File":"F1","Hour":"1"},
 {"File":"F1","Hour":"2"},
 {"File":"F2","Hour":"1"},
 {"File":"F3","Hour":"1"}]

我只是想知道是否有一个选项来获取所需格式的JSON文件.任何帮助将不胜感激.

I'm just wondering whether there is an option to get the JSON file in the desired format. Any help would be appreciated.

推荐答案

您在 DF.to_json 是string.因此，您可以根据需要简单地对其进行切片，并从中删除逗号.

The output that you get after DF.to_json is a string. So, you can simply slice it according to your requirement and remove the commas from it too.

out = df.to_json(orient='records')[1:-1].replace('},{', '} {')

要将输出写入文本文件，您可以执行以下操作:

To write the output to a text file, you could do:

with open('file_name.txt', 'w') as f:
    f.write(out)

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