python+pandas分析nginx日志的实例

#创建日志目录，用于存放日志mkdir /home/test/python/log/log#创建文件，用于存放从nginx日志中提取的$uri $upstream_response_time字段touch /home/test/python/log/log.txt#安装相关模块conda create -n science numpy scipy matplotlib pandas#安装生成execl表格的相关模块pip install xlwt

#!/usr/local/miniconda2/envs/science/bin/python#-*- coding: utf-8 -*-#统计每个接口的响应时间#请提前创建log.txt并设置logdirimport sysimport osimport pandas as pdmulu=os.path.dirname(__file__)#日志文件存放路径logdir="/home/test/python/log/log"#存放统计所需的日志相关字段logfile_format=os.path.join(mulu,"log.txt")print "read from logfile /n"for eachfile in os.listdir(logdir): logfile=os.path.join(logdir,eachfile) with open(logfile, 'r') as fo:  for line in fo:   spline=line.split()   #过滤字段中异常部分   if spline[6]=="-":    pass   elif spline[6]=="GET":    pass   elif spline[-1]=="-":    pass   else:    with open(logfile_format, 'a') as fw:     fw.write(spline[6])     fw.write('/t')     fw.write(spline[-1])     fw.write('/n')print "output panda"#将统计的字段读入到dataframe中reader=pd.read_table(logfile_format,sep='/t',engine='python',names=["interface","reponse_time"] ,header=None,iterator=True)loop=Truechunksize=10000000chunks=[]while loop: try:  chunk=reader.get_chunk(chunksize)  chunks.append(chunk) except StopIteration:  loop=False  print "Iteration is stopped."df=pd.concat(chunks)#df=df.set_index("interface")#df=df.drop(["GET","-"])df_groupd=df.groupby('interface')df_groupd_max=df_groupd.max()df_groupd_min= df_groupd.min()df_groupd_mean= df_groupd.mean()df_groupd_size= df_groupd.size()#print df_groupd_max#print df_groupd_min#print df_groupd_meandf_ana=pd.concat([df_groupd_max,df_groupd_min,df_groupd_mean,df_groupd_size],axis=1,keys=["max","min","average","count"])print "output excel"df_ana.to_excel("test.xls")