python实现xlsx文件分析详解

python脚本实现xlsx文件解析，供大家参考，具体内容如下

环境配置：

1.系统环境：Windows 7 64bit
2.编译环境：Python3.4.3
3.依赖库： os sys xlrd re
4.其他工具：none
5.前置条件：待处理的xlsx文件

脚本由来

最近的工作是做测试，而有一项任务呢，就是分析每天机器人巡检时采集的数据，包括各种传感器，CO2、O2、噪声等等，每天的数据也有上千条，通过站控的导出数据功能，会把数据库里面导出成xlsx文件，而这项任务要分析一下当天采集的数据是否在正常范围，要计算摄像头的识别率和识别准确率，自己傻呵呵的每天都在手动操作，突然觉得很浪费时间，索性写个python脚本吧，这样每天一条命令，就能得到自己想看的数据结果。每天至少节省10分钟！
这是要解析的xlsx文件： 

一般手动就得筛选、排序、打开计算器计算 - - 繁琐枯燥乏味
还是python * 好

代码浅析

流程图

脚本demo

#-*- coding:utf-8 -*-
import xlrd
import os
import sys
import logging
import re
#logging.basicConfig(level=logging.DEBUG)

xfile = sys.argv[1]

dateList = []
InspectionType = []
InspectionRresult = []

def load_data():

CO2Type = []
 O2Type = []
 NoiseType = []
 SupwareType = []
 TowareType = []
 TemperatureType = []
 HumidityType = []
 InfraredType = []

CO2Result = []
 O2Result = []
 NoiseResult = []
 SupwareResult = []
 TowareResult = []
 TemperatureResult = []
 HumidityResult = []
 InfraredResult = []

logging.debug(InspectionType)
 logging.debug(InspectionRresult)

for index, value in enumerate(InspectionType):
   if value == "二氧化碳":                   #CO2Type
     CO2Type.extend(value)
     logging.debug(index)
     logging.debug("CO2 RESULT:  "+InspectionRresult[index])
     CO2Result.append(InspectionRresult[index])

if value == "氧气传感器":                  #O2Type
     O2Type.extend(value)
     O2Result.append(InspectionRresult[index])

if value == "噪声传感器":                  #NoiseType
     NoiseType.extend(value)
     NoiseResult.append(InspectionRresult[index])

if value == "局放(超声波测量)":               #SupwareType
     SupwareType.extend(value)
     SupwareResult.append(InspectionRresult[index])

if value == "局放(地电波测量)":               #SupwareType
     TowareType.extend(value)
     TowareResult.append(InspectionRresult[index])

if value == "温度传感器":                  #TemperatureType
     TemperatureType.extend(value)
     TemperatureResult.append(InspectionRresult[index])      

if value == "湿度传感器":                  #TemperatureType
     HumidityType.extend(value)
     HumidityResult.append(InspectionRresult[index])

if value == "温度(红外测量)":                  #TemperatureType
     InfraredType.extend(value)
     InfraredResult.append(InspectionRresult[index])      
 logging.debug(CO2Result)
 logging.debug(O2Result)
 logging.debug(NoiseResult)
 logging.debug(SupwareResult)
 logging.debug(TowareResult)
 logging.debug(TemperatureResult)
 logging.debug(HumidityResult)    
 logging.debug(InfraredResult)  
 return CO2Result,O2Result,NoiseResult,SupwareResult,TowareResult,TemperatureResult,HumidityResult,InfraredResult

def get_data_print(co2,o2,noise,supware,toware,temperature,humidity,infrared):
 co2 = list(map(eval,co2))
 o2 = list(map(eval,o2))
 noise = list(map(eval,noise))
 supware = list(map(eval,supware))
 toware = list(map(eval,toware))
 temperature = list(map(eval,temperature))
 humidity = list(map(eval,humidity))
 infrared = list(map(eval,infrared))

co2Min = min(co2)
 co2Max = max(co2)
 logging.debug("CO2 min value :~~"+str(co2Min))
 logging.debug("CO2 max value :~~"+str(co2Max))

o2Min = min(o2)
 o2Max = max(o2)
 noiseMin = min(noise)
 noiseMax = max(noise)

supwareMin = min(supware)
 supwareMax = max(supware)

towareMin = min(toware)
 towareMax = max(toware)

temperatureMin = min(temperature)
 temperatureMax = max(temperature)

humidityMin = min(humidity)
 humidityMax = max(humidity)

infraredMin = min(infrared)
 infraredMax = max(infrared)

print("CO2 values :",co2Min,'~~~~~~~',co2Max)
 print("o2 values :",o2Min,'~~~~~~~',o2Max)
 print("noise values :",noiseMin,'~~~~~~~',noiseMax)
 print("supware values :",supwareMin,'~~~~~~~',supwareMax)
 print("toware values :",towareMin,'~~~~~~~',towareMax)
 print("temperature values :",temperatureMin,'~~~~~~~',temperatureMax)
 print("humidity values :",humidityMin,'~~~~~~~',humidityMax)
 print("infrared values :",infraredMin,'~~~~~~~',infraredMax)

def cal_picture():
 result7to19List = []
 result19to7List = []
 count7to19List = []
 count19to7List = []
 count7to19Dict = {}
 count19to7Dict = {}

failfind7to19cnt = 0
 failfind19to7cnt = 0
 photoType = []
 photoDateList = []
 allPhotoResult = []

for index,value in enumerate(InspectionType):            #按照巡检类型筛选出视觉类，通过索引值同步时间、巡检结果
   if value == "开关(视觉识别)" or value == "旋钮(视觉识别)" or \
     value == "电流表(视觉识别)" or value == "电压表(视觉识别)":
     photoType.extend(value)
     photoDateList.append(dateList[index])
     allPhotoResult.append(InspectionRresult[index])
 for index,value in enumerate(photoDateList):
   if value[-8:] > '07:00:00' and value[-8:] < '19:00:00':
     result7to19List.append(allPhotoResult[index])
   if value[-8:] > '19:00:00' or value[-8:] < '7:00:00':
     result19to7List.append(allPhotoResult[index])

logging.debug(result7to19List[-20:])
 logging.debug(result19to7List[:20])

noduplicate7to19Set=set(result7to19List)              #里面无重复项
 for item in noduplicate7to19Set:
   count7to19List.append(result7to19List.count(item))
 logging.debug(count7to19List)
 count7to19Dict= dict(zip(list(noduplicate7to19Set),count7to19List))

noduplicate19to7Set=set(result19to7List)              
 for item in noduplicate19to7Set:
   count19to7List.append(result19to7List.count(item))
 count19to7Dict= dict(zip(list(noduplicate19to7Set),count19to7List))

logging.debug(count7to19Dict)

None7to19cnt = count7to19Dict['']
 all7to19cnt = len(result7to19List)
 None19to7cnt = count19to7Dict['']
 all19to7cnt = len(result19to7List)

logging.debug(None7to19cnt)

for key in count7to19Dict:
   if count7to19Dict[key] == 1 :
     failfind7to19cnt = failfind7to19cnt+1
   if re.match('识别失败:*',key):
     failfind7to19cnt = failfind7to19cnt+ count7to19Dict[key]

for key in count19to7Dict:
   if count19to7Dict[key] == 1 :
     failfind19to7cnt = failfind19to7cnt+1
   if re.match('识别失败:*',key):
     failfind19to7cnt = failfind19to7cnt+count19to7Dict[key]
 logging.debug(all19to7cnt)

print("7:00 ~~~ 19:00 识别率：",(all7to19cnt-None7to19cnt)/all7to19cnt)
 print("7:00 ~~~ 19:00 识别准确率：",(all7to19cnt-None7to19cnt-failfind7to19cnt)/(all7to19cnt-None7to19cnt))
 print("19:00 ~~~ 7:00 识别率：",(all19to7cnt-None19to7cnt)/all19to7cnt)
 print("19:00 ~~~ 7:00 识别准确率：",(all19to7cnt-None19to7cnt-failfind19to7cnt)/(all19to7cnt-None19to7cnt))
#读取xlsx文件
xlsxdata=xlrd.open_workbook(xfile)
tablepage=xlsxdata.sheets()[0]
dateList.extend(tablepage.col_values(5))
InspectionType.extend(tablepage.col_values(3))
InspectionRresult.extend(tablepage.col_values(6))

cal_picture()
co2,o2,noise,supware,toware,temperature,humidity,infrared=load_data()
get_data_print(co2,o2,noise,supware,toware,temperature,humidity,infrared)

结果图

回顾与总结

渐渐体会到python脚本的优势所在。
python在代码保密上可能是解释性语言共有的小小缺陷，做项目还是C/C++，当然是指传统项目
写python很开心啊

来源：http://blog.csdn.net/qq_30650153/article/details/78935666