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Python-Pandas库实现EXCEL数据拆分成不同的表，并批量命名，顺带复习一下文本进度条的显示
<>Python-Pandas库实现EXCEL数据拆分成不同的表
事情原由：坚持懒才是第一生产力，同事说有大概十万行的数据，需要根据某一列中的值来拆分成不同的表，同时文件名要改成为对应的大区+小区+代码+名称，方便发邮件。
<>Pandas库+os库实现
用os库实现创建文件夹，Pandas实现拆分，顺带复习一下文本进度条的显示：
* os库 ，os.path.exists(path)判断是否存在对应的路径；os.mkdir(path)创建
* Pandas库：对需要拆分的列去重后，选取对应的行数，通过索引实现需要选取大区、小区、代码、名称来合并命名，最后to_excel方法实现
* 文本进度条：通过count实时统计已经生成的EXCEL个数，通过与len（去重后的拆分列）比较实现拆分进度显示。
<>代码部分
#-*- coding = utf-8 -*- #@Time:2020/4/24 19:02 #@Author:OULA-WANG
#@File:SplitExcel.PY import pandas as pd import os data = pd.read_excel(
'./data.xlsx')#读取数据 data_list = list(data['名称'].drop_duplicates())#去重处理 longth =
len(data_list)#计算共有多少数量 path = './SplitExcel' if not os.path.exists(path):
#当前文件夹下是否有此文件夹 os.mkdir(path)#创建此文件夹 count = 0 for item in data_list:
data_select= data[data['名称']==item]#选出item对应的行 Bigzone = data_select.iat[0,0]
#需要参与文件命名的值 Smallzone = data_select.iat[0,1] service_code = data_select.iat[0,2]
data_select.to_excel('./SplitExcel/{0:}-{1:}-{2:}-{3:}.xlsx'.format(Bigzone,
Smallzone,service_code,item),index=False)#按照对应的值生成EXCEL文件 count += 1 print(
'\rEXCEL表中共有 {} 个名称，正在拆分第 {} 家的数据，拆分进度：{:.2%}'.format(longth, count, count /
longth),end="") print('\n{}个名称已经全部拆分完毕，请前往SplitExcel文件夹下查看拆分后的各文件数据.'.format(
longth))
#人生苦短，我用Python#，学了刚好两个月，感觉都没入门。Python确实好用，继续努力，争取当个业余程序猿。。
