Reputation: 51
I want to convert a CSV to a JSON format using pandas. I am a tester and want to send some events to Event Hub for that I want to maintain a CSV file and update my records/data using the CSV file. I created a CSV file by reading a JSON using pandas for reference. Now when I am again converting the CSV into JSON using pandas< the data is not getting displayed in the correct format. Can you please help.
Step 1: Converted JSON to CSV using pandas:
df = pd.read_json('C://Users//DAMALI//Desktop/test.json')
df.to_csv('C://Users//DAMALI//Desktop/test.csv')
Step2: Now if I try to convert the JSON again to CSV, it's not getting converted in the same format as earlier:
df = pd.read_csv('C://Users//DAMALI//Desktop/test.csv')
df.to_json('C://Users//DAMALI//Desktop/test1.json')
Providing JSON below:
{
"body": {
"deviceId": "UDM",
"registrationDate": "12/11/2019",
"testRegistration": false,
"serialNumber": "25",
"articleNumber": "R91",
"deviceName": "UDM-test",
"locationId": "lc0",
"sapSoldToId": "1138474",
"crmDomainAccountId": "1234566",
"crmAccountDetails": {
"accountName": "ProjectX",
"accountId": "Instal",
"region": "AP"
},
"productLine": "UD",
"state": "registered",
"installerName": "ABC Rooms",
"installationAddress": {
"street": "Benelu",
"zipCode": "850",
"city": "Kortr",
"state": "OVL",
"country": "Belgi"
},
"customerDetails": {
"name": "John D",
"contactName": "John Doe",
"phone": "+32 999999999",
"email": "[email protected]"
},
"wallConnect": {
"wallSize": "Width 5 x Height 4",
"wallOrientation": "LANDSCAPE",
"displayType": "BVD-D55M21H321A1C300",
"softwareVersion": "1.13.1.1.3"
},
"projector": {
"name": "UDX 40K-123456789",
"subType": "UDX 40K"
},
"featureLicense": ["UDX-aa00213a-5719-440e-a3b5", "UDX-aa00a-571"],
"cloudServiceLicense": ["EN04d5-4d2a-9131-875ad37c5883", "E15-4d2a-9131-875ad37c5154"],
"metadata": {
"cusQuesAns": [{
"ques": "End ucal industry",
"ans": "Hosity",
"key": "CUST_ANSWER"
},
{
"ques": "End user video wall application",
"ans": "Simulation & Virtual Reality",
"key": "CUSSECOND_ANSWER"
}
]
},
"frequency": "realtime",
"subDevices": [{
"deviceType": "DISPLAY",
"serialNumber": "68960",
"articleNumber": "R792",
"wallConnect": {
"displayFMWVersion": "3.0.0",
"displayVariant": "KVD21H331A1C300"
}
}]
},
"properties": {
"drs": {
"type": "salesforce-lm"
}
},
"systemProperties": {
"user-id": "data-cvice",
"message-id": "1b1012cc-9b18c192"
}
}
Upvotes: 4
Views: 19825
Reputation: 91
Try this for converting CSV to JSON
import pandas as pd
df = pd.read_csv (r'Fayzan-Bhatti\test.csv')
df.to_json (r'Fayzan-Bhatti\new_test.json')
Upvotes: 4