对python中xlsx,csv以及json文件的相互转化方法详解

import xlrdimport csvdef xlsx_to_csv():  workbook = xlrd.open_workbook('1.xlsx')  table = workbook.sheet_by_index(0)  with codecs.open('1.csv', 'w', encoding='utf-8') as f:    write = csv.writer(f)    for row_num in range(table.nrows):      row_value = table.row_values(row_num)      write.writerow(row_value)if __name__ == '__main__':  xlsx_to_csv()

import pandas as pddef xlsx_to_csv_pd():  data_xls = pd.read_excel('1.xlsx', index_col=0)  data_xls.to_csv('1.csv', encoding='utf-8')if __name__ == '__main__':  xlsx_to_csv_pd()

import csvimport xlwtdef csv_to_xlsx():  with open('1.csv', 'r', encoding='utf-8') as f:    read = csv.reader(f)    workbook = xlwt.Workbook()    sheet = workbook.add_sheet('data') # 创建一个sheet表格    l = 0    for line in read:      print(line)      r = 0      for i in line:        print(i)        sheet.write(l, r, i) # 一个一个将单元格数据写入        r = r + 1      l = l + 1    workbook.save('1.xlsx') # 保存Excelif __name__ == '__main__':  csv_to_xlsx()

import pandas as pddef csv_to_xlsx_pd():  csv = pd.read_csv('1.csv', encoding='utf-8')  csv.to_excel('1.xlsx', sheet_name='data')if __name__ == '__main__':  csv_to_xlsx_pd()

from collections import OrderedDictimport jsonimport codecswb = xlrd.open_workbook('positive_previous.xlsx')convert_list = []sh = wb.sheet_by_index(0)title = sh.row_values(0)for rownum in range(1, sh.nrows):  rowvalue = sh.row_values(rownum)  single = OrderedDict()  for colnum in range(0, len(rowvalue)):    print(title[colnum], rowvalue[colnum])    single[title[colnum]] = rowvalue[colnum]  convert_list.append(single)j = json.dumps(convert_list)with codecs.open('positive_previous.json', "w", "utf-8") as f:  f.write(j)

# 下面的工具可以方便的将CSV格式文件转换成json文件格式import sys, jsontip = """请确保：1. CSV格式是UTF-82. CSV第一行是键值用法：python csv2json.py foobar.csv其中foobar.csv是需要转换的源数据文件运行环境：Python 3.4.3日期：2015年12月29日"""print(tip)# 获取输入数据input_file = sys.argv[1]lines = open(input_file, "r", encoding="utf_8_sig").readlines()lines = [line.strip() for line in lines]# 获取键值keys = lines[0].split(',')line_num = 1total_lines = len(lines)parsed_datas = []while line_num < total_lines:    values = lines[line_num].split(",")    parsed_datas.append(dict(zip(keys, values)))    line_num = line_num + 1json_str = json.dumps(parsed_datas, ensure_ascii=False, indent=4)output_file = input_file.replace("csv", "json")# write to the filef = open(output_file, "w", encoding="utf-8")f.write(json_str)f.close()print("解析结束！")