Python3.7应用实验（2）

一：文件和目录操作

1：文件操作

>>> fp=open('d:/aaa.txt','w')

>>> fp.close()

2：目录操作

（1）获取当前路径

>>> import os

>>> print (os.getcwd())

C:Python37

（2）创建目录

>>> import os

>>> print (os.mkdir('d:/test'))

（3）判断目录是否存在

>>> import os

>>> print (os.path.isdir('d:/test'))

True

（4）判断是否为文件

>>> import os

>>> print (os.path.isfile('d:/test'))

二：案例--编写脚本，采集web质量数据到excel中

1：部署web平台（centos）

注意关闭firewalld和selinux

2：用pip安装模块

Pycurl和XlsxWriter

3：编写脚本

#__.__coding:utf-8 __.__

import os,sys

import pycurl

import xlsxwriter

URL="http://192.168.10.105"

c=pycurl.Curl()

c.setopt(pycurl.URL,URL)

c.setopt(pycurl.CONNECTTIMEOUT,10)

c.setopt(pycurl.TIMEOUT,10)

c.setopt(pycurl.NOPROGRESS,1)

c.setopt(pycurl.FORBID_REUSE,1)

c.setopt(pycurl.MAXREDIRS,1)

c.setopt(pycurl.DNS_CACHE_TIMEOUT,30)

indexfile=open(os.path.dirname(os.path.realpath(__file__))+"/content.txt","wb")

c.setopt(pycurl.WRITEHEADER,indexfile)

c.setopt(pycurl.WRITEDATA,indexfile)

c.perform()

NAMELOOKUP_TIME=c.getinfo(c.NAMELOOKUP_TIME)

CONNECT_TIME=c.getinfo(c.CONNECT_TIME)

TOTAL_TIME=c.getinfo(c.TOTAL_TIME)

HTTP_CODE=c.getinfo(c.HTTP_CODE)

SIZE_DOWNLOAD=c.getinfo(c.SIZE_DOWNLOAD)

HEADER_SIZE=c.getinfo(c.HEADER_SIZE)

SPEED_DOWNLOAD=c.getinfo(c.SPEED_DOWNLOAD)

print (u"HTTP状态码：%s" %(HTTP_CODE))

print (u"DNS解析时间：%.2f ms" %(NAMELOOKUP_TIME*1000))

print (u"建立连接时间：%.2f ms"%(CONNECT_TIME*1000))

print (u"传输总时间：%.2f ms" %(TOTAL_TIME*1000))

print (u"下载数据包大小：%d bytes/s" %(SIZE_DOWNLOAD))

print (u"HTTP头部大小：%d bytes/s" %(HEADER_SIZE))

print (u"平均下载速度：%d bytes/s" %(SPEED_DOWNLOAD))

indexfile.close()

c.close()

f=open('chart.txt','a')

f.write(str(HTTP_CODE)+','+str(NAMELOOKUP_TIME*1000)+','+str(CONNECT_TIME*1000)+','+str(TOTAL_TIME*1000)+','+str(SIZE_DOWNLOAD/1024)+','+str(HEADER_SIZE)+','+str(SPEED_DOWNLOAD/1024)+' ')

f.close()

workbook=xlsxwriter.Workbook('chart.xlsx')

worksheet=workbook.add_worksheet()

chart=workbook.add_chart({'type':'column'})

title=[URL,u'HTTP状态码',u'DNS解析时间',u'建立连接时间',u'传输结束时间',u'下载数据包时间',u'HTTP头部大小',u'平均下载速度']

format=workbook.add_format()

format.set_border(1)

format_title=workbook.add_format()

format_title.set_border(1)

format_title.set_bg_color('#00ff00')

format_title.set_align('center')

format_title.set_bold()

worksheet.write_row(0,0,title,format_title)

f=open('chart.txt','r')

line=1

for i in f:

    head=[line]

    lineList=i.split(',')

    lineList=list(map(lambda i2:int(float(i2.replace(" ",''))),lineList))

    lineList=head+lineList

    worksheet.write_row(line,0,lineList,format)

    line+=1

average=[u'平均值','=AVERAGE(B2:B)'+str((line-1))+')','=AVERAGE(C2:C)'+str((line-1))+')','=AVERAGE(D2:D)'+str((line-1))+')','=AVERAGE(E2:E)'+str((line-1))+')','=AVERAGE(F2:F)'+str((line-1))+')','=AVERAGE(G2:G)'+str((line-1))+')','=AVERAGE(H2:H)'+str((line-1))+')']

worksheet.write_row(line,0,average,format)

f.close()

def chart_series(cur_row,line):

    chart.add_series({

        'categories': '=Sheet1!$B$1:$H$1',

        'values': '=Sheet1!$B$'+cur_row+':$H$'+cur_row,

        'line': {'color':'black'},

        'name': '=Sheet1!$A'+cur_row,

        })

for row in range(2,line+1):

    chart_series(str(row),line)

chart.set_size({'width':876,'height':287})

worksheet.insert_chart(line+2,0,chart)

workbook.close()