Python中csv轉json(對錶格元素加入條件判斷)

import csv
import json
import pandas as pd

csv_filename = 'tmdb_5000_movies.csv'
json_filename = 'tmdb_5000_movies.json'


def main():
    csvfile = open(csv_filename, 'r', encoding='UTF-8')
    jsonfile = open(json_filename, 'w', encoding='UTF-8')
    dataframe = pd.read_csv(csv_filename, encoding='UTF-8')
	
	# 獲取表頭
    fieldnames = dataframe.columns
    fieldnames = tuple(fieldnames)

    # print(fieldnames)

    reader = csv.DictReader(csvfile, fieldnames=fieldnames)

    count01 = 0
    for row in reader:
        # 跳過第一行的標題
        if count01 == 0:
            count01 += 1
            continue

        # 確保每一行都能成功地解析
        for k in row.keys():
            # 如果表格中字段以是json數組，則將其轉換成python的list
            if str(row[k]).startswith('['):
                try:
                    row[k] = json.loads(row[k])
                except:
                    # 該列表爲空
                    continue

        # 寫入文件
        json.dump(row, jsonfile, ensure_ascii=False)
        jsonfile.write('\n')

    jsonfile.close()
    csvfile.close()
    print("succees!")


if __name__ == '__main__':
    main()

解析結果：