最近需要各种转格式,这里对相关代码作一个记录,方便日后查询。
xlsx文件转csv文件
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import xlrd import csv def 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() |
在2个文件之间转换,需要注意一个文件的字符转码问题
使用第三方库pandas将xlsx文件转csv文件
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import pandas as pd def 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() |
csv文件转换成xlsx文件
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import csv import xlwt def 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Excel if __name__ = = '__main__' : csv_to_xlsx() |
使用pandas将csv文件转成xlsx文件
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import pandas as pd def 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() |
xlsx文件转json文件
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from collections import OrderedDict import json import codecs wb = 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) |
csv文件转化为json文件
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# 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, json tip = """ 请确保: 1. CSV格式是UTF-8 2. 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 = 1 total_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 + 1 json_str = json.dumps(parsed_datas, ensure_ascii = False , indent = 4 ) output_file = input_file.replace( "csv" , "json" ) # write to the file f = open (output_file, "w" , encoding = "utf-8" ) f.write(json_str) f.close() print ( "解析结束!" ) |
这段代码产生的键值不是按顺序来的,个人觉得可以改进一下。
以上这篇对python中xlsx,csv以及json文件的相互转化方法详解就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/qq_26591517/article/details/79742936