import os
pwd = "d:"
print(os.walk(pwd))
for i in os.walk(pwd):
    print(i)
for path,dirs,files in os.walk(pwd):
    print(files)
#得到的结果就不展示了

path1 = ‘G:\\a‘
path2 = ‘aa.txt‘
print(os.path.join(path1,path2))
#结果G:\a\aa.txt

import xlsxwriter

# 这一步相当于创建了一个新的"工作簿"；
# "demo.xlsx"文件不存在，表示新建"工作簿"；
# "demo.xlsx"文件存在，表示新建"工作簿"覆盖原有的"工作簿"；
workbook = xlsxwriter.Workbook("demo.xlsx")

# close是将"工作簿"保存关闭，这一步必须有，否则创建的文件无法显示出来。
workbook.close() 

import xlsxwriter

workbook = xlsxwriter.Workbook("cc.xlsx")
worksheet = workbook.add_worksheet("2018年销售量")
workbook.close()   

import xlsxwriter

# 创建一个名为【demo.xlsx】工作簿；
workbook = xlsxwriter.Workbook("demo.xlsx")

# 创建一个名为【2018年销售量】工作表；
worksheet = workbook.add_worksheet("2018年销售量")

# 使用write_row方法，为【2018年销售量】工作表，添加一个表头；
headings = [‘产品‘,‘销量‘,"单价"] 
worksheet.write_row(‘A1‘,headings)
# 使用write方法，在【2018年销售量】工作表中插入一条数据；
# write语法格式：worksheet.write(行,列,数据) 

data = ["苹果",500,8.9]
for i in range(len(headings)):
    worksheet.write(1,i,data[i]) 
workbook.close()

# 这里所说的"打开"并不是实际意义上的打开，只是将该表加载到内存中打开。
# 我们并看不到"打开的这个效果"
import xlrd 
file = r"G:\Jupyter\test.xlsx"
xlrd.open_workbook(file)
#结果如下
#<xlrd.book.Book at 0x29bb8e4eda0>

import xlrd
file = r"G:\Jupyter\test.xlsx"
fh = xlrd.open_workbook(file)
fh.sheet_names()
#[‘2018年销售量‘, ‘2019年销售量‘]

import xlrd
file = r"G:\Jupyter\test.xlsx"
fh = xlrd.open_workbook(file)
fh.sheets()
#[<xlrd.sheet.Sheet at 0x29bb8f07a90>, <xlrd.sheet.Sheet at 0x29bb8ef1390>]
#我们可以利用索引，获取每一个sheet表的对象，然后可以针对每一个对象，进行操作

fh.sheets()[0]
#<xlrd.sheet.Sheet at 0x29bb8f07a90>

fh.sheets()[1]
#<xlrd.sheet.Sheet at 0x29bb8ef1390>

import xlrd
file = r"G:\Jupyter\test.xlsx"
fh = xlrd.open_workbook(file)
fh.sheets()
fh.sheets()[0].nrows  # 结果是：4
fh.sheets()[0].ncols  # 结果是：3
fh.sheets()[1].nrows  # 结果是：4
fh.sheets()[1].ncols  # 结果是：3

import xlrd
file = r"G:\Jupyter\test.xlsx"
fh = xlrd.open_workbook(file)
sheet1 = fh.sheets()[0]
for row in range(fh.sheets()[0].nrows):
   value = sheet1.row_values(row)
   print(value)

import pandas as pd
import os
pwd = "G:\\b"
df_list = []
for path,dirs,files in os.walk(pwd):
    for file in files:
        file_path = os.path.join(path,file)                        
        df = pd.read_excel(file_path) 
        df_list.append(df)
result = pd.concat(df_list)
print(result)
result.to_excel(‘G:\\b\\result.xlsx‘,index=False)

import xlrd
import xlsxwriter
import os

# 打开一个Excel文件，创建一个工作簿对象
def open_xlsx(file):
    fh=xlrd.open_workbook(file)
    return fh
    
# 获取sheet表的个数
def get_sheet_num(fh):
    x = len(fh.sheets())
    return x

# 读取文件内容并返回行内容
def get_file_content(file,shnum):
    fh=open_xlsx(file)
    table=fh.sheets()[shnum]
    num=table.nrows
    for row in range(num):
        rdata=table.row_values(row)
        datavalue.append(rdata)
    return datavalue

def get_allxls(pwd):
    allxls = []
    for path,dirs,files in os.walk(pwd):
        for file in files:
            allxls.append(os.path.join(path,file))
    return allxls

# 存储所有读取的结果
datavalue = []  
pwd = "G:\\d"                          
for fl in get_allxls(pwd):
    fh = open_xlsx(fl)     
    x = get_sheet_num(fh)  
    for shnum in range(x):
        print("正在读取文件："+str(fl)+"的第"+str(shnum)+"个sheet表的内容...")
        rvalue = get_file_content(fl,shnum)   

# 定义最终合并后生成的新文件
endfile = "G:\\d\\concat.xlsx"
wb1=xlsxwriter.Workbook(endfile)
# 创建一个sheet工作对象
ws=wb1.add_worksheet()
for a in range(len(rvalue)):
    for b in range(len(rvalue[a])):
        c=rvalue[a][b]
        ws.write(a,b,c)
wb1.close()
print("文件合并完成")

import xlrd
import pandas as pd
from pandas import DataFrame
from openpyxl import load_workbook

excel_name = r"D:\pp.xlsx"
wb = xlrd.open_workbook(excel_name)
sheets = wb.sheet_names()

alldata = DataFrame()
for i in range(len(sheets)):
    df = pd.read_excel(excel_name, sheet_name=i, index=False, encoding=‘utf8‘)
    alldata = alldata.append(df)       

writer = pd.ExcelWriter(r"C:\Users\Administrator\Desktop\score.xlsx",engine=‘openpyxl‘)
book = load_workbook(writer.path)
writer.book = book  
# 必须要有上面这两行，假如没有这两行，则会删去其余的sheet表，只保留最终合并的sheet表

alldata.to_excel(excel_writer=writer,sheet_name="ALLDATA")
writer.save()
writer.close()

import pandas as pd
import xlsxwriter
data=pd.read_excel(r"C:\Users\Administrator\Desktop\chaifen.xlsx",encoding=‘gbk‘)

area_list=list(set(data[‘店铺‘]))

writer=pd.ExcelWriter(r"C:\Users\Administrator\Desktop\拆好的表1.xlsx",engine=‘xlsxwriter‘)
data.to_excel(writer,sheet_name="总表",index=False)

for j in area_list:
    df=data[data[‘店铺‘]==j]
    df.to_excel(writer,sheet_name=j,index=False)

writer.save()  #一定要加上这句代码，“拆好的表”才会显示出来