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Reading and writing Excel documents with Python

Apr 04, 2018 pm 04:01 PM
excel python document

本篇文章给大家分享的是用Python读写Excel文档 ,有需要的朋友可以参考一下文中的内容

1.读取Excel(需要安装xlrd):

import xlrd
  
fname = "reflect.xls"
bk = xlrd.open_workbook(fname)
shxrange = range(bk.nsheets)
try:
 sh = bk.sheet_by_name("Sheet1")
except:
 print "no sheet in %s named Sheet1" % fname
#获取行数
nrows = sh.nrows
#获取列数
ncols = sh.ncols
print "nrows %d, ncols %d" % (nrows,ncols)
#获取第一行第一列数据
cell_value = sh.cell_value(1,1)
#print cell_value
  
row_list = []
#获取各行数据
for i in range(1,nrows):
 row_data = sh.row_values(i)
 row_list.append(row_data)
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2.写入Excel(需安装pyExcelerator)

from pyExcelerator import *
 
w = Workbook()  #创建一个工作簿
ws = w.add_sheet('Hey, Hades')  #创建一个工作表
ws.write(0,0,'bit') #在1行1列写入bit
ws.write(0,1,'huang') #在1行2列写入huang
ws.write(1,0,'xuan') #在2行1列写入xuan
w.save('mini.xls')  #保存
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3.再举个自己写的读写Excel的例子

读取reflect.xls中的某些信息进行处理后写入mini.xls文件中。 

import xlrd
from pyExcelerator import *
  
w = Workbook()
ws = w.add_sheet('Sheet1')
 
fname = "reflect.xls"
bk = xlrd.open_workbook(fname)
shxrange = range(bk.nsheets)
try:
 sh = bk.sheet_by_name("Sheet1")
except:
 print "no sheet in %s named Sheet1" % fname
 
nrows = sh.nrows
ncols = sh.ncols
print "nrows %d, ncols %d" % (nrows,ncols)
  
cell_value = sh.cell_value(1,1)
#print cell_value
  
row_list = []
mydata = []
for i in range(1,nrows):
 row_data = sh.row_values(i)
 pkgdatas = row_data[3].split(',')
 #pkgdatas.split(',')
 #获取每个包的前两个字段
 for pkgdata in pkgdatas:
  pkgdata = '.'.join((pkgdata.split('.'))[:2])
  mydata.append(pkgdata)
 #将列表排序
 mydata = list(set(mydata))
 print mydata
 #将列表转化为字符串
 mydata = ','.join(mydata)
 #写入数据到每行的第一列
 ws.write(i,0,mydata)
 mydata = []
 row_list.append(row_data[3])
#print row_list
 
w.save('mini.xls')
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4.需要根据Excel文件中满足特定要求的apk的md5值来从服务器获取相应的apk样本,这样做: 

import xlrd
import os
import shutil
  
fname = "./excelname.xls"
bk = xlrd.open_workbook(fname)
shxrange = range(bk.nsheets)
try:
 #打开Sheet1工作表
 sh = bk.sheet_by_name("Sheet1")
except:
 print "no sheet in %s named Sheet1" % fname
#获取行数
nrows = sh.nrows
#获取列数
ncols = sh.ncols
#print "nrows %d, ncols %d" % (nrows,ncols)
#获取第一行第一列数据
cell_value = sh.cell_value(1,1)
#print cell_value
  
row_list = []
#range(起始行,结束行)
for i in range(1,nrows):
 row_data = sh.row_values(i)
 if row_data[6] == "HXB":
  filename = row_data[3]+".apk"
  #print "%s %s %s" %(i,row_data[3],filename)
  filepath = r"./1/"+filename
  print "%s %s %s" %(i,row_data[3],filepath)
  if os.path.exists(filepath):
   shutil.copy(filepath, r"./myapk/")
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使用xlwt3进行Excel文件的写操作:

import xlwt3
 
if __name__ == '__main__':
     
    datas = [['a', 'b', 'c'], ['d', 'e', 'f'], ['g', 'h']]#二维数组
    file_path = 'D:\\test.xlsx'
     
    wb = xlwt3.Workbook()
    sheet = wb.add_sheet('test')#sheet的名称为test
     
    #单元格的格式
    style = 'pattern: pattern solid, fore_colour yellow; '#背景颜色为黄色
    style += 'font: bold on; '#粗体字
    style += 'align: horz centre, vert center; '#居中
    header_style = xlwt3.easyxf(style)
     
    row_count = len(datas)
    col_count = len(datas[0])
    for row in range(0, row_count):
        col_count = len(datas[row])
        for col in range(0, col_count):
            if row == 0:#设置表头单元格的格式
                sheet.write(row, col, datas[row][col], header_style)
            else:
                sheet.write(row, col, datas[row][col])
    wb.save(file_path)
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输出的文件内容如下图:


挺容易的吧!那么,快来试试!

相关推荐:

如何使用python读写json文件

Python读写sqlite3数据库的方法并且将数据写入Excel的实例详解

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