Python：如何正確地將沒有標頭的 CSV 轉換為 JSON

Question

我必須將很多 CSV 文件轉換為 JSON 文件。 正如您在下面看到的，沒有標題。 我已經設法為此創建代碼：

import gspread
import os
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload


import csv
import json
import pandas as pd
from pathlib import Path


#Odczyt pliku CSV
def read_CSV(file, json_file):
    csv_rows = []
    with open(file) as csvfile:
        reader = csv.DictReader(csvfile)
        field = reader.fieldnames
        for row in reader:
            csv_rows.extend([{field[i]:row[field[i]] for i in range(len(field))}])
        convert_write_json(csv_rows, json_file) #definicja funkcji ponizej

#Zamiana CSV na JSON
def convert_write_json(data, json_file):
    with open(json_file, "w") as f:
        f.write(json.dumps(data, sort_keys=False, indent=4, separators=(',', ': '))) 
        f.write(json.dumps(data))

#pętla w folderze
pliki = "/users/user/CSVtoGD/"

files = Path(pliki).glob('*.csv') 

for f in files:
    read_CSV(f, str(f.with_suffix('.json'))) 

CSV 類似於以下示例：

Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Bold_0.ttf,Roboto,Bold,Roboto Bold,Roboto-Bold,Version 2.137; 2017,Roboto Bold,Google,Christian Robertson,Google.com,Roboto is a trademark of Google.,Copyright 2011 Google Inc. All Rights Reserved.,http://www.apache.org/licenses/LICENSE-2.0,,GOOG
Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Medium_0.ttf,Roboto Medium,Regular,Roboto Medium,Roboto-Medium,Roboto,,Version 2.137; 2017,Roboto Medium,Google,Christian Robertson,Google.com,Roboto is a trademark of Google.,Copyright 2011 Google Inc. All Rights Reserved.,http://www.apache.org/licenses/LICENSE-2.0,,GOOG
(...)

但結果並不十分壯觀：

[
    {
        "Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Bold_0.ttf": "Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Medium_0.ttf",
        "Roboto": "Roboto Medium",
        "Bold": "Regular",
        "Roboto Bold": "",
        "Roboto-Bold": "Roboto-Medium",
        "Version 2.137; 2017": "Roboto",
        "Google": "Version 2.137; 2017",
        "Christian Robertson": "Roboto Medium",
        "Google.com": "Google",
        "Roboto is a trademark of Google.": "Christian Robertson",
        "Copyright 2011 Google Inc. All Rights Reserved.": "Google.com",
        "http://www.apache.org/licenses/LICENSE-2.0": "Roboto is a trademark of Google.",
        "": "Copyright 2011 Google Inc. All Rights Reserved.",
        "GOOG": "http://www.apache.org/licenses/LICENSE-2.0"
    }
][{"Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Bold_0.ttf": "Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Medium_0.ttf", "Roboto": "Roboto Medium", "Bold": "Regular", "Roboto Bold": "", "Roboto-Bold": "Roboto-Medium", "Version 2.137; 2017": "Roboto", "Google": "Version 2.137; 2017", "Christian Robertson": "Roboto Medium", "Google.com": "Google", "Roboto is a trademark of Google.": "Christian Robertson", "Copyright 2011 Google Inc. All Rights Reserved.": "Google.com", "http://www.apache.org/licenses/LICENSE-2.0": "Roboto is a trademark of Google.", "": "Copyright 2011 Google Inc. All Rights Reserved.", "GOOG": "http://www.apache.org/licenses/LICENSE-2.0"}]

我不知道如何對 JSON 文件中的信息進行排序。 如您所見，CSV 只是每一行中一個 TTF 的數據。 （例如家庭、供應商等）

Answer 1

我不知道你期望什么結果，但你可以簡單地添加自己的帶有標題的列表

fields = ["Family", "Vendor", "Other1", "Other2", "Other3", ...]

代替

field = reader.fieldnames

---

最少的工作代碼。

我使用io只在內存中創建文件，所以每個人都可以簡單地復制它，但你應該使用open()

我只發現一個問題。 您的示例行在不同的列中有一些值 - 即。 版本。

data = '''Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Bold_0.ttf,Roboto,Bold,Roboto Bold,Roboto-Bold,Version 2.137; 2017,Roboto Bold,Google,Christian Robertson,Google.com,Roboto is a trademark of Google.,Copyright 2011 Google Inc. All Rights Reserved.,http://www.apache.org/licenses/LICENSE-2.0,,GOOG
Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Medium_0.ttf,Roboto Medium,Regular,Roboto Medium,Roboto-Medium,Version 2.137; 2017,Roboto Medium,Google,Christian Robertson,Google.com,Roboto is a trademark of Google.,Copyright 2011 Google Inc. All Rights Reserved.,http://www.apache.org/licenses/LICENSE-2.0,,GOOG
'''

import csv
import json
import io

# --- load CVS ---

input_filename  = 'input.csv'
output_filename = 'output.json'

fields = ["Family", "Vendor", "Other1", "Other2", "Other3", "Other4", "Other5", "Other6", "Other7"]
csv_rows = []

#with open(input_filename) as fh_in:
with io.StringIO(data) as fh_in:
    reader = csv.reader(fh_in)
    for row in reader:
        dictionary = dict(zip(fields, row))
        csv_rows.append(dictionary)

# --- write JSON in file ---

with open(output_filename, "w") as fh_out:
    json.dump(csv_rows, fh_out, indent=4)

# --- display JSON ---

print(json.dumps(csv_rows, indent=4))

結果：

[
    {
        "Family": "Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Bold_0.ttf",
        "Vendor": "Roboto",
        "Other1": "Bold",
        "Other2": "Roboto Bold",
        "Other3": "Roboto-Bold",
        "Other4": "Version 2.137; 2017",
        "Other5": "Roboto Bold",
        "Other6": "Google",
        "Other7": "Christian Robertson"
    },
    {
        "Family": "Assets/Lakeside/Resources/Graphics/font_ttf/Roboto-Medium_0.ttf",
        "Vendor": "Roboto Medium",
        "Other1": "Regular",
        "Other2": "Roboto Medium",
        "Other3": "Roboto-Medium",
        "Other4": "Version 2.137; 2017",
        "Other5": "Roboto Medium",
        "Other6": "Google",
        "Other7": "Christian Robertson"
    }
]