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DataAnalysis.py
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DataAnalysis.py
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#-*-coding:utf-8-*-
import re
import json
import time
import sys
import os
import os.path
import csv
import jieba
from collections import Counter
#import xlrd
'''
餐饮大数据可视化大纲:
1.城市餐馆位置分布
以散点图形式,显示各家参观在城市的具体位置分布。同时还可以通过热力图展现出城市商圈的分布特征。
仅显示 武汉、北京、上海这三座城市
散点图:在地图上显示出各个餐馆的位置,点击图标,弹窗中显示店铺的 店名、经纬度、三项评分 推荐菜
需要 city_loc.tsv数据,将数据传入,
读取 shopname type score lng lat rec 在地图上点击显示
使用百度地图api完成
热力图:需要 dianping_loc.tsv数据
仅需读取 lng 和 lat
暂定百度地图api,如有需要可以更换
2.分店最多的餐厅
以柱状图或其他统计图表,根据jiaba或者python原生方法,获取词频最高的商店名,即分店最多商店
需要 dianping_final.tsv数据
读取店铺名,通过已有函数进行数据清洗,获取店铺出现次数
暂定chart.js
3.各个城市商店类别对比:
以柱状图或其他统计图表,获取词频最高的店铺类型
需要dianping_final.tsv数据
读取店铺类别,通过已有函数进行数据清洗,获取店铺类别出现次数
暂定chart.js
4.各个城市三项评分汇总
以多系列柱状图的形式,得到每个城市所有店铺三项评分的的平均值
需要dianping_final.tsv数据
使用funsioncharts.js
没学会django板块
'''
Pinyin2Characters = {
"beijing": "北京",
"shanghai": "上海",
"tianjin": "天津",
"chongqing": "重庆",
"haerbin": "哈尔滨",
"changchun": "长春",
"shenyang": "沈阳",
"huhehaote": "呼和浩特",
"shijiazhuang": "石家庄",
"wulumuqi": "乌鲁木齐",
"lanzhou": "兰州",
"xining": "西宁",
"xian": "西安",
"yinchuan": "银川",
"zhengzhou": "郑州",
"jinan": "济南",
"taiyuan": "太原",
"hefei": "合肥",
"wuhan": "武汉",
"changsha": "长沙",
"nanjing": "南京",
"chengdu": "成都",
"guiyang": "贵阳",
"kunming": "昆明",
"nanning": "南宁",
"lasa": "拉萨",
"hangzhou": "杭州",
"nanchang": "南昌",
"guangzhou": "广州",
"fuzhou": "福州",
"haikou":"海口"
}
# 读写tsv
csv.register_dialect('mydialect',delimiter='\t',quoting=csv.QUOTE_ALL)
# 防止数据量过大
maxInt = sys.maxsize
while True:
# decrease the maxInt value by factor 10
# as long as the OverflowError occurs.
try:
csv.field_size_limit(maxInt)
break
except OverflowError:
maxInt = int(maxInt/10)
CookingStyle=['炒','煎','贴','炸','熘','烹','焖','烧','氽','蒸','酥','烩','扒','炖','爆','煮'
, '煨','卤','酱','烤','腌','拌','焗']
'''
南昌:螺蛳 粉 臭豆腐 绝味 火锅 酱爆 酱 卤 愤怒 夫妻肺片 毛血旺 爆炒
长沙:口味 粉 臭豆腐 绝味 火锅 酱爆 酱 卤
贵阳:红汤
'''
# 单‘川’字无法判别,还需要对同一道菜的其他字段进行识别
# 川+肠、香、味、麻、四、式、斗
chuan=['肠','香','味','麻','四','斗','火锅']
nanchang=['螺蛳','粉','臭豆腐','绝味','火锅','酱','愤怒','毛血旺','爆炒','火锅']
changsha=['口味','绝味','火锅','卤','酱爆']
guiyang=['红汤','臭豆腐','绝味','宫爆','宫保','爆','卤','炝','毛血旺','火锅','酱','凉拌']
chuanyu=['火锅','爆']
Hot=['椒','辣','麻婆','川','蜀','油泼','红油','湘','牛蛙','愤怒','夫妻肺片']
'''
对店铺+评分+推荐菜的列表进行遍历
若三道菜中某一道菜被识别为辣
辣度值+=1 # 不加了不加了 二值化了
得出辣度值列表
遍历辣度值列表,
'''
# 判断是否为数字
def is_number(s):
try:
float(s)
return True
except ValueError:
pass
try:
import unicodedata
unicodedata.numeric(s)
return True
except (TypeError, ValueError):
pass
return False
# 辣度值计算
def GetHotVal(line,f_out,city):
recomments=[]
if line[8]:
recomments += line[8:]
if city=='nanchang':
HotDish=Hot+nanchang
elif city=='guiyang':
HotDish=Hot+guiyang
elif city=='changsha':
HotDish=Hot+changsha
elif city=='chongqing' or city=='chengdu':
HotDish=Hot+chuanyu
else:
HotDish=Hot
hot_val=0
for food in recomments:
f=[]
for h in HotDish:
m=re.search(h,food)
if m :
f.append(m.group())
hot_val+=1
break
# 如果含有“川”字
cz=''
for f_ in f:
cz=re.search('川',f_)
if cz:
cout=0
for c_ in chuan:
# 在食物中表明川菜是辣的
m=re.search(c_,food)
if m :
cout+=1
if cout==0:
hot_val-=1
# # 仅将辣度二分
if hot_val:
hot_val=1
f_out.write(line[0]+"\t"+line[2]+"\t"+line[5]+"\t"+str(hot_val)+"\n")
# print(line[0]+line[2]+line[5]+hot_val)
def Search(lines,CookingStyleScore,CookingStyleNum):
for item in lines[8:11]:
for cs in CookingStyle:
for ch in item:
if ch==cs and is_number(lines[5]):
# print(type(lines[5]))
# print(type(float(lines[5])))
CookingStyleScore["{}".format(cs)]+=float(lines[5])
CookingStyleNum["{}".format(cs)]+=1
pass
# 辣度指数计算
def GetIndex(score,hot_val):
# print(len(score),len(hot_val))
hot_sum=0
all=0
for i in range(len(score)):
if int(hot_val[i])>0:
hot_sum+=float(score[i])*float(hot_val[i])
all+=float(score[i])
# print(str(hot_sum)+"\t"+str(all))
index=hot_sum/all
return index
# pass
# 将城市的辣度值转化为辣度指数
def GetCityHotIndex(fileList):
for filename in fileList:
firstname, lastname = filename.split(".")
city, mode = firstname.split('_')
with open("./output/cookstyle/hot/hot_modify/{}.tsv".format(firstname), "r", encoding="utf8")as f_in, \
open("./output/cookstyle/hotVal.tsv".format(city), "a", encoding="utf-8") as f_out:
file_list = csv.reader(f_in, 'mydialect')
score=[]
hot_val=[]
for line in file_list:
score.append(line[2])
hot_val.append(line[3])
index=GetIndex(score,hot_val)
f_out.write(city+"\t")
f_out.write(str(index)+"\n")
print("{} is {}".format(city,index))
# 获取城市的辣度值
def GetTaste(fileList):
for filename in fileList:
firstname, lastname = filename.split(".")
city, mode = firstname.split('_')
with open("./output/final/{}.tsv".format(firstname), "r", encoding="utf8")as f_in, \
open("./output/cookstyle/hot/hot_modify/{}_hot.tsv".format(city), "w", encoding="utf-8") as f_out:
file_list = csv.reader(f_in, 'mydialect')
for line in file_list:
GetHotVal(line,f_out,city)
print("{} is finish.".format(city))
# 获取城市的所有推荐菜
# 我为啥要写这个函数啊2333
def GetCookStyle(fileList):
for filename in fileList:
firstname, lastname = filename.split(".")
city,mode=firstname.split('_')
with open("./output/final/{}.tsv".format(firstname), "r", encoding="utf8")as f_in, \
open("./output/cookstyle/{}.tsv".format(city), "w", encoding="utf-8") as f_out:
file_list = csv.reader(f_in, 'mydialect')
recomments=[]
# 将所有店铺的推荐菜都存放在一个列表里,然后将这个列表输出到对应城市的文件中
for line in file_list:
if line[8]:
recomments+=line[8:]
for li in line[8:]:
f_out.write(li+"\t")
f_out.write("\n")
print("{} is finish.".format(city))
# 获取文件夹内的所有文件名
def GetFile(rootdir):
FileList=[]
for parent, dirnames, filenames in os.walk(rootdir): # 三个参数:分别返回1.父目录 2.所有文件夹名字(不含路径) 3.所有文件名字
for filename in filenames:
FileList.append(filename)
# print(FileList)
return FileList
# 对读到的辣度指数进行归一化
def Normalization():
hotVal=dict()
hotVal_Nor=dict()
index=[]
with open('./output/CookStyle/hotVal.tsv','r',encoding='utf-8') as f_in:
with open('./output/CookStyle/hotVal_Nor.tsv','w',encoding='utf-8')as f_out:
file_list = csv.reader(f_in, 'mydialect')
for line in file_list:
hotVal[line[0]]=line[1]
index.append(line[1])
# 对指数进行正序排序
index.sort()
min=float(index[0])
max=float(index[-1])
for key in hotVal:
x=float(hotVal[key])
x_=(x-min)/(max-min)
hotVal_Nor[key]=x_
for key in hotVal_Nor:
f_out.write(key+"\t"+str(hotVal_Nor[key])+"\n")
print(key+"\t"+str(hotVal_Nor[key]))
def GetFendian(line,shopList):
# shopname = '坚果印象野生板栗'
shopname=line[2]
# shopList = []
m = re.search('[(]', shopname)
if m:
# print(m)
dianpu, fendian1 = re.split("[(]", shopname)
else:
# print(1)
dianpu = shopname
fendian1 = ''
shopList.append(dianpu)
print(dianpu)
def Fendian(fileList):
for filename in fileList:
firstname, lastname = filename.split(".")
city,mode=firstname.split('_')
shopList=[]
with open('./output/final/data/{}.tsv'.format(firstname),'r',encoding='utf-8')as f_in,\
open('./output/analysis/{}_analysis.tsv'.format(city),'w',encoding='utf-8')as f_out:
file_list = csv.reader(f_in, 'mydialect')
for line in file_list:
print(city)
print(line[0])
GetFendian(line,shopList)
for item in shopList:
f_out.write(item+"\n")
# 词频统计
def get_words(txt):
seg_list = jieba.cut(txt)
c = Counter()
for x in seg_list:
if len(x)>1 and x != '\r\n':
c[x] += 1
print('常用词频度统计结果')
for (k,v) in c.most_common(100):
print('%s %d' % ( k, v))
def ShopAnalysis(fileList):
# filelist是存储一个文件夹中所有文件文件名的列表
# 遍历这个列表,获取每一个文件名 eg:wuhan_analysis.tsv
for filename in fileList:
firstname, lastname = filename.split(".") # 对文件名进行分割 分为 wuhan_analysis 和 tsv
city,mode=firstname.split('_') # 对文件名 以 “_” 来分割,分为 wuhan 和 analysis
# 打开文件
with open('./output/analysis/{}.tsv'.format(firstname),'r',encoding='utf-8') as f_in,\
open('./output/analysis/result/{}_result.tsv'.format(city),"w",encoding="utf-8") as f_out:
# file_list = csv.reader(f_in, 'mydialect')
# 读文件,tsv文件的读取有两种方式,一种是上面的,一种是下面的。下面的读取为一个str对象
data=f_in.read()
# get_words(data)
# 建立存放词频的字典
frequency={}
#
shop=data.split("\t")
for shopname in data.split("\n"):
# print(shopname)
if shopname not in frequency:
frequency[shopname]=1
else:
frequency[shopname]+=1
# 对字典进行排序
A = sorted(frequency.items(), key=lambda frequency: frequency[1], reverse=True)
for item in A:
for i in item:
f_out.write(str(i)+"\t")
# print(i,end="\t")
# print()
f_out.write("\n")
print("{} is finish.".format(city))
# 将xlsx数据转化为JSON数据
'''
{
"name": "北京",
"value": [116.404158,39.910072],
"symbolSize": 2,
"itemStyle": {
"normal": {
"color": "#F58158"
}
}
}
'''
def xlsx2JSON1():
data=[]
with open("./data/location.csv","r",encoding="utf-8") as f_in:
file_list = csv.reader(f_in, 'mydialect')
for line in file_list:
temp=line[0].split(",")
data.append(temp)
f_in.close()
dataall=[]
temp=[]
for item in data:
temp.append(item[0])
temp.append(item[1][1:])
temp.append(item[2][0:-1])
temp.append(item[3])
dataall.append(temp)
temp=[]
return dataall
# print(dataall)
# with open("./output/JSON/file1.JSON","w",encoding="utf-8") as f_out:
# for line in dataall:
# color='#53868B'
# if line[3]=='8':
# color='#FF6A6A'
# #}"\n\t\t}\n\t}'
#
# f_out.write("{\n")
# f_out.write('\t"name":"{}",\n\t"value":[{},{}],\n\t"symbolSize":{},\n'.format(line[0],line[1],line[2],line[3]))
# f_out.write('\t"itemStyle": {\n\t\t"normal": {\n\t\t\t"color": "'+color+'"\n\t\t}\n\t}')
# f_out.write("\n},")
# # print("{")
# # print('\t"name":"{}",\n\t"value":[{},{}],\n\t"symbolSize":{},'.format(line[0],line[1],line[2],line[3]))
# # print('\t"itemStyle": {\n\t\t"normal": {\n\t\t\t"color": "'+color+'"\n\t\t}\n\t}')
# # print("},")
# # print(line)
# f_out.close()
'''
{
"fromName": "北京",
"toName": "上海",
"coords": [
[116.404158,39.910072],
[121.475605,31.223183]
],
"value":78796
}
'''
def csv2JSON(filelist,loc):
# 用来存放地名和坐标的字典
NoneList = []
for filename in filelist:
firstname, lastname = filename.split(".")
# print(firstname)
with open("./data/出/{}".format(filename),"r",encoding="gbk")as f_in,open("./output/JSON/fileOut2.JSON","a",encoding="utf-8")as f_out:
file_list = csv.reader(f_in, 'mydialect')
for line in file_list:
fromname,toname,value=line[0].split(",")
print("{")
f_out.write("{\n")
if fromname not in loc or toname not in loc:
print('\t"fromname":"{}",\n\t"toname":"{}",\n\t"coords":[\n\t\t[{},{}],\n\t\t[{},{}]\n\t],\n\t"value":{}'.format(
fromname,toname,
'0.0',
'0.0',
'0.0',
'0.0',
int(float(value))))
f_out.write(
'\t"fromname":"{}",\n\t"toname":"{}",\n\t"coords":[\n\t\t[{},{}],\n\t\t[{},{}]\n\t],\n\t"value":{}\n'.format(
fromname,toname,
'0.0',
'0.0',
'0.0',
'0.0',
str(int(float(value)))))
NoneList.append(fromname)
NoneList.append(toname)
else:
print('\t"fromname":"{}",\n\t"toname":"{}",\n\t"coords":[\n\t\t[{},{}],\n\t\t[{},{}]\n\t],\n\t"value":{}'.format( fromname,toname,
loc[fromname][0],
loc[fromname][1],
loc[toname][0],
loc[toname][1],
int(float(value))))
f_out.write('\t"fromname":"{}",\n\t"toname":"{}",\n\t"coords":[\n\t\t[{},{}],\n\t\t[{},{}]\n\t],\n\t"value":{}\n'.format( fromname,toname,
loc[fromname][0],
loc[fromname][1],
loc[toname][0],
loc[toname][1],str(int(float(value)))))
print("},")
f_out.write("},\n")
# print(line[0])
print(NoneList)
# print(dataall)
pass
'''
{name:'北京',datas:['4','3','4','5','5','6','6','7','星巴克','133','222','120','333','100','444','90','555','80','666','70','777','60','888','50','999','32','10','12']},
4 3 4 5 5 6 6 7
data=[
[4,3,4,5,5,6,6,7],
[4,3,4,5,5,6,6,7],
]
citylist=["北京","长春"]
'''
data=[[4,3,4,5,5,6,6,7],[3,3,5,3,10,6,4,7],[8,8,1,4,2,10,2,8],[10,10,3,3,4,7,0,4],[9,9,1,4,0,8,1,4],
[1,1,3,7,2,4,4,1],[0,2,2,6,6,2,10,2],[6,7,7,5,3,4,2,6],[4,4,4,4,9,3,3,6],[1,1,3,6,2,0,4,1],[2,2,4,9,4,3,4,0],
[4,1,2,4,5,6,3,4],[4,2,1,3,4,5,1,6],[3,4,5,3,5,6,2,10],[6,3,6,2,1,4,5,7],[5,2,4,1,4,2,3,3],[5,3,2,2,3,5,4,5],
[7,6,3,4,2,9,7,4],[3,3,2,9,5,7,5,4],[6,0,9,2,1,5,3,3],[2,4,4,10,2,7,6,1],[5,4,3,2,9,4,4,9],[4,1,2,3,6,6,5,6],
[3,1,8,4,8,4,6,6],[3,3,2,3,4,5,7,9],[7,6,2,3,3,8,4,3],[4,4,0,0,5,3,5,2],[6,7,10,2,3,6,8,5],[4,4,5,3,1,7,4,5],
[3,6,2,2,3,5,3,2],[3,4,2,2,4,6,4,5],
]
citylist=['北京','长春','长沙','成都','重庆','福州','广州','贵阳','哈尔滨',
'海口','杭州','合肥','呼和浩特','济南','昆明','兰州','拉萨','南昌',
'南京','南宁','上海','沈阳','石家庄','太原','天津','武汉','乌鲁木齐','西安','西宁','银川','郑州',
]
# help华姐
def helphuasister(filelist):
for filename in filelist:
firstname, lastname = filename.split(".")
city,a=firstname.split("_")
with open("./output/analysis/result/{}.tsv".format(firstname),"r",encoding="utf-8")as f_in,open("./output/analysis/huajie/output.txt".format(city),"a",encoding="utf-8")as f_out:
no=0
city_chara = Pinyin2Characters[city]
for j in range(len(citylist)):
if citylist[j] == city_chara:
no = j
taste = data[no]
f_out.write("{ ")
f_out.write("name:\'{}\',datas:[".format(city_chara))
for t in taste:
f_out.write("\'{}\',".format(t))
i = 0
file_list = csv.reader(f_in, 'mydialect')
for line in file_list:
if i<19:
shopname = line[0]
num = line[1]
f_out.write("\'{}\',\'{}\',".format(shopname,num))
elif i==19:
shopname = line[0]
num = line[1]
f_out.write("\'{}\',\'{}\'".format(shopname, num))
else:
break
i+=1
f_out.write("]},\n")
pass
def helpLaowang():
with open("./data/bou1_4l.JSON","r",encoding="utf-8")as f,open("output2.txt","w",encoding="utf-8")as f_out:
data = json.load(f)
for item in data["features"]:
f_out.write(str(item["geometry"]["coordinates"])+"\n")
print(item["geometry"]["coordinates"])
if __name__ == '__main__':
rootdir1="./output/analysis/result"
# rootdir2 = "./output/CookStyle/hot/hot_modify"
FileList1=GetFile(rootdir1)
# FileList1=['wuhan_analysis.tsv']
# FileList2 = GetFile(rootdir2)
# print(FileList1)
# 以下四个函数都是求辣度指数特征向量的
# helphuasister(FileList1)
helpLaowang()
# 将xlsx 修改为JSON
# dataall=xlsx2JSON1()
#
#
#
#
# loc = dict()
#
# for lines in dataall:
# # print(lines)
# loc[lines[0]] = [lines[1], lines[2]]
# #
# # print(loc['遵义'][0])
# #
# csv2JSON(FileList1,loc)
#
# a='123.4253'
# print(type(a))
# b=int(float(a))
# print(b)
# shopname='魔王烧肉 ox deamon king'
# shopList=[]
# m=re.search('[(]',shopname)
# if m:
# print(m)
# dianpu,fendian1=re.split("[(]",shopname)
# else:
# # print(1)
# dianpu=shopname
# fendian1=''
# shopList.append(dianpu)
#
# print(dianpu,fendian1)