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# -*- coding: utf-8 -*-
import os
import pandas as pd
import numpy as np
#from os import sys
def appendStr(strs):
return "BOQ" + strs
def addBOQ(dirs, csv_file):
data = pd.read_csv(os.path.join(dirs, csv_file), encoding = "gbk" )
data = data[data[u "BOQ条码" ] ! = 'None' ]
data[u "BOQ条码" ] = data[u "BOQ条码" ].astype(np. str )
data[u "BOQ条码" ] = data[u "BOQ条码" ]. apply (appendStr, 1 )
data.to_csv(os.path.join(dirs, csv_file), index = False , encoding = "gbk" )
def execl2csvbypandas(dirs, excel_file, addStr):
newdir = os.path.join(dirs, "csvdir" )
if not os.path.isdir(newdir):
os.makedirs(newdir)
filename = os.path.splitext(excel_file)
data_xls = pd.read_excel(os.path.join(dirs, excel_file), 'Sheet1' , index_col = 0 )
csvname = os.path.join(newdir, filename[ 0 ].join([ 'sheet1' , '.csv' ]))
data_xls.to_csv(csvname, encoding = 'gbk' )
if True = = addStr:
addBOQ(newdir, csvname)
def procExeclFiles(arg, dirs, files):
print arg
for f in files:
file_path = os.path.join(dirs, f)
if os.path.isfile(file_path):
print f
execl2csvbypandas(dirs, f, arg)
print "end...."
if __name__ = = "__main__" :
#遍历目录,并把改目录下的execl转为csv,然后存入该目录下csvdir目录下,传参数True时,是给csv中BOQ条码列添加BOQ字符串,一般为False
os.path.walk(r "C:\Users\Desktop\test" , procExeclFiles, ( True ))
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以上这篇python pands实现execl转csv 并修改csv指定列的方法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/u013870094/article/details/53174536