用python脚本通过excel生成文件夹树结构

大概这样写标题是对的吧。。。

目标:

  通过excel目录结构文档生成文件夹树结构。

  也就是:

  通过下面的excel

  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" alt="" />

  生成下面的文档树结构:

  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" alt="" />

方法:

  1、分析:一般文档结构都是事先构思好。可以在txt文档里打草稿,粘贴至excel。如下:

  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" alt="" />

  这里要注意一个问题:从txt文档 -> excel文档粘贴时,默认如果txt分级为空格,那么在excel里只能是一列。如果在txt分级为tab,那么在excel中各为一列。当然,可以自己进行设置。

  2、对excel文档结构进行路劲补全。如图:

  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" alt="" />

  3、写py脚本:

#coding:utf-8

import xlrd
import os
import sys DIRPATH = os.path.dirname(os.path.realpath(__file__))
excelFILE = ur"%s"%sys.argv[1] #对中文字符转码,避免乱码
encodeText = lambda a : a.encode("gb2312") def get_data_by_xls(xlsfile):
'''通过xls文档得到数据列表'''
wb = xlrd.open_workbook(xlsfile)
table = wb.sheets()[0]
rows = table.nrows
for i in range(table.nrows):
yield table.row_values(i) def createDir(dirPath,xList):
'''应用递归,生成文档数'''
try:
rPath = os.path.join(dirPath,encodeText(xList[0]))
try:
os.mkdir(rPath)
rList = xList[1:]
except:
rList = xList[1:]
createDir(rPath,rList)
except:
pass for i in get_data_by_xls(excelFILE):
if i:
createDir(DIRPATH,i) print "create dir complete!"

  4、运行:

  aaarticlea/png;base64,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" alt="" />

  得到结构:

  aaarticlea/png;base64,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" alt="" />

  5、总结:

    (1)生成文档时需对中文进行转码,不然导致乱码。

    (2)生成文件夹时对路径进行递归处理。

    (3)在excel文档目录中,各个目录均要补全为完整的路径。

    (4)在获取目录列表时,该脚本使用了yield生成器,避免excel目录多占用过多内存的问题,但一般的excel倒是用不到。直接返回列表就OK了。

==============================================================================

  人生苦短,我用python!

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