[FIXED] PYTHON convert multidimensionale list to JSON data

Issue

I'm struggling to bring my array to the right format for the JSON file! Might be an easy question for people with knowledge. I grep the data from different CSV files in the format:

[['Dec', '196610'], ['Oct', '196699'], ['Sep', '131073'], ['Jul', '122050']]

I need to bring it in the format:

{
    "Year_2021": [
        {
            "Dec": "196610",
            "oct": "196699",
            "Sep": "131073",
            "Jul": "122050"
        }
    ]
}

i have tried different possibilities and got the craziest constellations, just not the right one.

My current code:

import csv
import datetime
import time
import os.path
import json
from collections import defaultdict

sys_time = datetime.datetime.now()
format_sys_time = sys_time.strftime('[%Y-%m-%d] %H:%M:%S')      # Other Datetime Format

act_month = int(sys_time.strftime('%m'))
#print act_month

output_json_file    = "/var/www/json/EXP_MONTHLY_POWER_" + sys_time.strftime('%Y') + ".json"

start_time = time.time()    # measure how long a programm run takes

columns = defaultdict(list) # each value in each column is appended to a list

# Help function to build dword
def word_to_dword(val_1, val_2):
    result = val_1
    result |= val_2 << 16
    return result

# Calculate past days of the current month
dates = []
for act_month in range(act_month+1, 1, -1):
    act_month -= 1
    if act_month <=9:
     INPUTFILE= "/var/www/csv/EXP_POWER_" + sys_time.strftime('%Y-0') + str(act_month) + ".csv"
    else:
     INPUTFILE= "/var/www/csv/EXP_POWER_" + sys_time.strftime('%Y-') + str(act_month) + ".csv"
    dates.append(INPUTFILE)

#print(dates)
outputfields = [];

#Delete old file to avoid double entrys
if os.path.exists(output_json_file):
    os.remove(output_json_file)


for dayfile in dates:
    if os.path.exists(dayfile):
        with open(dayfile) as csvdatei:
            mvg_reader = csv.DictReader(csvdatei , delimiter=';')   # read rows into a dictionary format
            for row in mvg_reader:                                  # read a row as {column1: value1, column2: value2,...}
                for (fieldname, value) in row.items():              # go over each column name and value
                    columns[fieldname].append(value)                # append the value into the appropriate list
                                                                    # based on column name

        outfields1=[]

        for value in columns['Power_Value(kwh)']:
        #    print(int(value))
            outfields1.append(int(value))

        # Build Power Value from last values of list
        if (len(outfields1) != 0):
            DL_Actual_Power_Value = outfields1[-1]
        else:
            print("Keine Daten gefunden!")

        compString = ""
        compString = dayfile[28:30]     # Build compString from Filename
        
        switcher = {
                "01": "Jan",
                "02": "Feb",
                "03": "Mar",
                "04": "Apr",
                "05": "May",
                "06": "Jun",
                "07": "Jul",
                "08": "Aug",
                "09": "Sep",
                "10": "Oct",
                "11": "Nov",
                "12": "Dec"
            }        
            
        outputfields.append([switcher.get(compString, "Invalid month"), str(DL_Actual_Power_Value)]       )
             
print(outputfields)


    

export_json_main = {}
export_json_main.clear()
export_KEY = 'Year_' + sys_time.strftime('%Y')      # Name des Keys festlegen 
export_json_main[export_KEY] = []
export_json_main[export_KEY].append(      outputfields    )


    
#jsonStr = json.dumps(outputfields)
#print(jsonStr)
#for keys in (outputfields):
#    print(keys[0])
#export_json_main[export_KEY].append({
#    json.dumps(outputfields)
#})
with open(output_json_file, 'w') as outfile:
    json.dump(export_json_main, outfile, indent=4)

This brings me the following output:

{
    "Year_2021": [
        [
            [
                "Dec", 
                "196610"
            ], 
            [
                "Oct", 
                "196699"
            ], 
            [
                "Sep", 
                "131073"
            ], 
            [
                "Jul", 
                "122050"
            ]
        ]
    ]
}

Solution

not sure what your code does. However you mean something like this

arr = [['Dec', '196610'], ['Oct', '196699'], ['Sep', '131073'], ['Jul', '122050']]

d = {}
for a in arr:
    d[a[0]] = a[1]
    
result = { "Year_2021": d }

?

Answered By - user3732793