将 Pandas 数据帧转换为 JSON 文件

Question

I am trying to convert a pandas DataFrame to JSON file. Following image shows my data: Screenshot of the dataset from Ms. excel

I am using the following code:

import pandas as pd

os.chdir("G:\\My Drive\\LEC dashboard\\EnergyPlus simulation files\\DEC\\Ahmedabad\\Adaptive set point\\CSV")

df = pd.read_csv('Adap_40-_0_0.1_1.5_0.6.csv')
df2 = df.filter(like = '[C](Hourly)',axis =1)
df3 = df.filter(like = '[C](Hourly:ON)',axis =1)
df4 = df.filter(like = '[%](Hourly)',axis =1)
df5 = df.filter(like = '[%](Hourly:ON)',axis =1)

df6 = pd.concat([df2,df3,df4,df5],axis=1)
df6.to_json("123.json",orient='columns')

I the output, I am getting a dictionary in of values. However, I need a list as value.

The output I am getting: The JSON output I am getting by using above code

The out put that is desired: The output that is desired.

I have tried different orientations of json but nothing works.

Answer 1

There might be other ways of doing this but one way is this.

import json
test = pd.DataFrame({'a':[1,2,3,4,5,6]})
with open('test.json', 'w') as f:
    json.dump(test.to_dict(orient='list'), f)

Result file will look like this '{"a": [1, 2, 3, 4, 5, 6]}'

Answer 2

There is a built-in function of pandas called to_json:

df.to_json(r'Path_to_file\file_name.json')

Take a look at the documentation if you need more specifics: https://pandas.pydata.org/pandas-docs/version/0.24/reference/api/pandas.DataFrame.to_json.html