Python to_json function not converting DataFrame to Json in proper format for Date Field

Question

I am facing a problem in receiving correct date formatted data from the CSV using to_json function of pandas.

import pandas as pd
import json

df = pd.read_csv("C:\\Users\\shubham\\Desktop\\Output\\MasterData.csv")
df1 = df.to_json(orient='records')
print(df1)

Current Output:-

[{"invoiceDate":"18\/08\/2019","amount":1140.87}]

I am expecting Output:- "invoiceDate":"18/08/2019"

I already tried to_json arguments:- date_format = "iso" double_precision = 10, force_ascii = True, date_unit = "ms", default_handler = None), and replace is also not working (df.replace("/","")).

score 0 · Answer 1 · answered Sep 18 '19 at 05:27

Create dictionary and write to file with json.dump:

df = pd.DataFrame([{"invoiceDate":"18/08/2019","amount":1140.87}])
print (df)
  invoiceDate   amount
0  18/08/2019  1140.87


import json
with open('data.json', 'w') as f:
    json.dump(df.to_dict(orient='records'), f)

#[{"invoiceDate": "18/08/2019", "amount": 1140.87}]

score 0 · Accepted Answer · edited Nov 13 '19 at 08:42

0

I used the replace function in the data-frame to replace forward slash as per my need.

The following code helped me to archive my desire output.

df1 = df.to_json(orient='records',lines=True).replace('\\r\\n', " ")

edited Nov 13 '19 at 08:42

milanbalazs

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answered Nov 13 '19 at 07:05

shubham jain

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Python to_json function not converting DataFrame to Json in proper format for Date Field

2 Answers2