Load and format a CSV file

[fioranosnake]

Hi, I there a straight forward way to write the pprint output to a text file?

with open('numb.csv') as f,open('out.csv', 'w') as f_out:
    #next(f) # If need to skip header
    data = [i.strip() for i in f]
    data = dict(enumerate(data, 1))
    for k,v in data.items():
        f_out.write(f'{k}: {v}\n')

Output:
1: 1231241231
2: 1235135135
3: 5457345345
4: 4577865568
5: 8654563848

Hi again, I'm totally grateful for you help. I think I may be trying to do things the hard way..... Essentially, I need to create a JSON file from a text file (eg);

1231241231
1235135135
5457345345
4577865568
8654563848


with the following format : (that I can pass as a payload to an API using requests library)

{"1": "1231241231",
"2": "1235135135",
"3": "5457345345",
"4": "4577865568",
"5": "8654563848"}

I guess I have been trying to confuse things by reading in the values, formatting them, writing them to a text file and then re-reading this in to the API app. No doubt it would be quicker (and easier) to do this in the same script.

Im already successfully running the API from a manually formatted 'source' file :

#Specify APIKey
APIKey = 'KEY'

with open("CodestoProcess.txt", "r") as f: 
     Codes =json.load(f)  

payload = {"Parameters":{"UserAccessKey": APIKey
                          },
           "Codes":Codes
          }
 
headers = {'content-type': 'application/json'}
  
response = requests.post(url, data=json.dumps(payload), headers=headers)

Id be so grateful if you could hekp creating a formatted JSON from the source file and make things far more slick.

[perfringo]

I don't fully understand objective but assuming that you have csv file named 'source-json.csv' with data on rows and want to have json one can simply do something along those lines:

import json
with open('source-json.csv', 'r') as f:
    d = {k: v.strip() for (k, v) in enumerate(f, start=1)}
    j = json.dumps(d)

One can write j to file or whatever:

Output:
{"1": "1231241231", "2": "1235135135", "3": "5457345345", "4": "4577865568", "5": "8654563848"}