技術標籤：python

根據目錄下的所有json檔案生成excel

import json
import os

import pandas as pd
class download():
      def __init__(self):
            self.bool = True
      def transcsv(self, jsondata, csvpath):
            csv_file = open(csvpath, 'a', newline='', encoding='utf-8')
            # 讀檔案
            ls =
 
 json.loads(jsondata)  # 將json格式的字串轉換成python的資料型別，解碼過程
            if ls:
                  if self.bool:
                        data = [list(ls[0].keys())]  # 獲取列名,即key
                        self.bool = False
                  else:
                        data = []
                  for item in ls:
 

                        data.append(map(str, list(item.values())))  # 獲取每一行的值value
                  # 寫入檔案
                  for line in data:
                        csv_file.write(repr("@@".join(line))[1:-1] + "\n")  # 以逗號分隔一行的每個元素，最後換行 fw.close() #關閉csv檔案
                  # 關閉檔案
 

            csv_file.close()

      # 匯出指定表資料
      def download_data(self,file_dir,csvpath):

            for root, dirs, files in os.walk(file_dir):
                  for i in files:
                        path = os.path.join(root,i)
                        with open(path,encoding='utf-8') as f:
                              self.transcsv(f.read(), csvpath)
            df = pd.read_csv(csvpath, encoding='utf-8', sep="@@", engine='python',skipinitialspace=True)
            writer = pd.ExcelWriter(csvpath.split('.')[0] + '.xlsx', engine='xlsxwriter',
                                    options={'strings_to_urls': False})
            df.to_excel(writer)
            writer.close()

c = download()
c.download_data('d:/test/','d:/test.csv')