将地图数组json转换为csv

Question

Hello all I'm very new to python, so just bear with me. I have a sample json file in this format.

[{
"5":"5",
"0":"0",
"1":"1"},{
"14":"14",
"11":"11",
"15":"15"},{
"25":"25",
"23":"23",
"22":"22"}]

I would like to convert the json file to csv in a specific way. All the values in 1 map ie, { and } in the json should be converted to a csv file(say FILE_A.csv).

For the above example,

FILE_A.csv,

DAILY,COUNT
5,5
0,0
1,1

FILE_B.csv,

WEEKLY,COUNT
14,14
11,11
15,15

FILE_C.csv,

MONTHLY,COUNT
25,25
23,23
22,22

There will only be 3 maps in the json.

Can anyone suggest the best way to convert the 3 maps in the json to 3 different csv files of the above structure?

Thanks in advance.

Answer 1

You can use a simple loop with all the data you need, should look like this:

jsondata = [{
"5":"5",
"0":"0",
"1":"1"},{
"14":"14",
"11":"11",
"15":"15"},{
"25":"25",
"23":"23",
"22":"22"}]

for name, timelapse, data in zip(("A", "B", "C"), 
                                 ("DAILY", "WEEKLY","MONTHLY",), 
                                 jsondata): #get data together
    with open("path/to/your/FILE_{}".format(name), "w") as f:
        f.write("{}, COUNT\n".format(timelapse)) # write header
        f.write("\n".join(",".join((k,v)) for k,v in data.items())) #write data separated by ','

Here you have a live example

Also take a look at the csv module

Answer 2

data_list = [{
"5":"5",
"0":"0",
"1":"1"},{
"14":"14",
"11":"11",
"15":"15"},{
"25":"25",
"23":"23",
"22":"22"}]

temp_dct = { "DAILY": data_list[0], "WEEKLY": data_list[1], "MONTHLY": data_list[2]}
file_name_ord = 65
for k in ["DAILY", "WEEKLY", "MONTHLY"]:
    v = temp_dct[k]
    file_name = "FILE_"+str(chr(file_name_ord))+".csv"
    file_name_ord+=1
    data = k + ","+ "COUNT\n" 
    for inner_k, inner_v in v.items():
        data += inner_k + ","+inner_v+"\n"

    with open(file_name, "w") as f:
        f.write(data)

Try this one also. Hope you will get your answer.

Answer 3

Straight-forward solution:

import json, csv    

with open('FILE_A.csv', 'w', newline='') as fa, open('FILE_B.csv', 'w', newline='') as fb, \
     open('FILE_C.csv', 'w', newline='') as fc:

    a_writer, b_writer, c_writer = csv.writer(fa), csv.writer(fb), csv.writer(fc)
    da, db, dc = json.load(open('your.json'))

    a_writer.writerow(('DAILY','COUNT'))
    a_writer.writerows(da.items())

    b_writer.writerow(('WEEKLY','COUNT'))
    b_writer.writerows(db.items())

    c_writer.writerow(('MONTHLY','COUNT'))
    c_writer.writerows(dc.items())