Home  >  Article  >  Backend Development  >  Reading and writing Excel documents with Python

Reading and writing Excel documents with Python

不言
不言Original
2018-04-04 16:01:322914browse

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)

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

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')

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/")

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)

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

The above is the detailed content of Reading and writing Excel documents with Python. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Previous article:Define strings in PythonNext article:Define strings in Python