Python3.4如何读写Excel

在python3.x（散仙使用的版本是python3.4）里，我们应该如何操作excel。 

首先在python3.4里，我们可以使用新的python类库，来支持3.x之后的读写excel 

针对 03版excel（xls结尾的），我们可以使用xlrd读，xlwt包来写 
针对 07版excel（xlsx结尾的）,我们可以使用openpyxl来操作读写excel 


xlwt的下载地址https://pypi.python.org/pypi/xlwt3 
xlrd的下载地址https://pypi.python.org/pypi/xlrd3 
openpyx1的下载地址https://pypi.python.org/pypi/openpyxl 




下载完扩展的包库之后，直接解压某个目录，然后执行命令进行安装包系统的python类库里： 

python setup.py install

核心代码，如下所示： 

#读取excel使用(支持03)
import xlrd
#写入excel使用(支持03)
import xlwt3
#读取execel使用(支持07)
from openpyxl import Workbook
#写入excel使用(支持07)
from openpyxl import load_workbook


def showexcel(path):
    workbook=xlrd.open_workbook(path)
    sheets=workbook.sheet_names();
    #多个sheet时，采用下面的写法打印
    #for sname in sheets:
        #print(sname)
    worksheet=workbook.sheet_by_name(sheets[0])
    #nrows=worksheet.nrows
    #nclows=worksheet.ncols
    for i in range(0,worksheet.nrows):
        row=worksheet.row(i)

        for j in range(0,worksheet.ncols):
            print(worksheet.cell_value(i,j),"	",end="")

        print()



def writeexcel03(path):

    wb=xlwt3.Workbook()
    sheet=wb.add_sheet("xlwt3数据测试表")
    value = [["名称", "hadoop编程实战", "hbase编程实战", "lucene编程实战"], ["价格", "52.3", "45", "36"], ["出版社", "机械工业出版社", "人民邮电出版社", "华夏人民出版社"], ["中文版式", "中", "英", "英"]]
    for i in range(0,4):
        for j in range(0,len(value[i])):
            sheet.write(i,j,value[i][j])
    wb.save(path)
    print("写入数据成功！")

def writeexcel07(path):

    wb=Workbook()
    #sheet=wb.add_sheet("xlwt3数据测试表")
    sheet=wb.create_sheet(0,"xlwt3数据测试表")

    value = [["名称", "hadoop编程实战", "hbase编程实战", "lucene编程实战"], ["价格", "52.3", "45", "36"], ["出版社", "机械工业出版社", "人民邮电出版社", "华夏人民出版社"], ["中文版式", "中", "英", "英"]]
    #for i in range(0,4):
        #for j in range(0,len(value[i])):
            #sheet.write(i,j,value[i][j])

            #sheet.append(value[i])
    sheet.cell(row = 1,column= 2).value="温度"
    wb.save(path)
    print("写入数据成功！")


def read07excel(path):
    wb2=load_workbook(path)
    #print(wb2.get_sheet_names())
    ws=wb2.get_sheet_by_name("详单一")
    row=ws.get_highest_row()
    col=ws.get_highest_column()
    print("列数: ",ws.get_highest_column())
    print("行数: ",ws.get_highest_row())

    for i  in range(0,row):
        for j in range(0,col):
            print(ws.rows[i][j].value,"		",end="")

        print()

    #print(ws.rows[0][0].value)
    #print(ws.rows[1][0].value)
    #print(ws.rows[0][1].value)






#excelpath=r"D://名称.xlsx"
#writepath=r"D://书籍明细07.xlsx"
#writeexcel03(writepath)
#writeexcel07(writepath)

read07path="D://名称.xlsx";


read03path=r"E:同义词词库.xls";
#read07excel(read07path)
#read07excel(read03path)
#showexcel(excelpath);
showexcel(read03path);

最后，分享三个格式数字和日期，以及随机数生成3个小知识点 

#浮点数格式化成百分比
pp="{:.1%}".format(0.2356)
print(pp)

#格式化日期
import  datetime
s=(2014,12,11,0,0,0)
d="%02d-%02d-%02d" % s[:3]
print(d)

#打印随机数
import random
#浮点数随机数
f=random.uniform(1.0,100)
#整数范围随机数
f1=random.randint(1,23)
print(f1)
print(f)

结果如下： 

D:pythonpython.exe D:/pythonide/pythonprojectworkspace/tnssolve/f.py
23.6%
2014-12-11
17
84.57222433948785

Process finished with exit code 0

原文链接:http://qindongliang.iteye.com/blog/2163700