How to convert CSV to JSON?

Question

I have a CSV file with the header as Key and the data as the Value. My goal is to convert the CSV file into Json to upload into a database and output the data I uploaded. I

Answer 1

You can try to use .to_dict if you load your data in a dataframe.

df = pd.read_csv('so-emissions-by-world-region-in-million-tonnes.csv')
df.T.to_dict().values()

.to_dict() turns your dataframe in a map by columns (for each column you have index->value). By transposing and using .to_dict, this is a map by rows (for each index you have a map column->value). You don't need the keys, so just take .values()

Be careful, this is a dict_values object if you are using python 3.5, so you may want to use list() before converting to json.

By the way, you can also use dict(zip(columns, values)) to get a map column->value for each row, which is faster. In that case you don't need pandas at all.

edit: if the csv has no header, you need to pass it in the pd.read_csv() with keyword names=

Answer 2

You can use the csv.DictReader to read your CSV and then serialise its output with json.dumps.

import csv
import json

data = []
with open('file.csv') as f:
    for row in csv.DictReader(f):
        data.append(row)

json_data = json.dumps(data)

Answer 3

You are currently printing the result which is the dictionary itself, if you want to get the output in a nice format as shown in the question, you need to go through the dictionary to print out each key and its values

for key in keys:  #looking through each key
    print (key)
    for i in results:  #going through the results and printing the value of the index with the current key
        print (results[i][key])

This should give the expected output in the console as mentioned in question