使用.to_json将数据帧转换为JSON会弄乱日期时间数据

Question

I have a 4 column dataframe with just one row of data. I convert that row of data to JSON for the purpose of making a POST request to an API with it. I do this by using:

data = local_materials.loc[local_materials['id'] == apicounter]

In the dataframe, one of the columns (date) has the following data:

1971-12-17 00:00:00

When I run data = data.to_json(orient='records') it transforms the data data into "date":61776000000

Does anyone have any advice for maintaining a datetime parse C# format?

Answer 1

use date_format='iso' as in:

data.to_json(orient='records', date_format='iso')

For reference:

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_json.html