getEchartsData.py
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from utils.getPublicData import *
articleList = getAllArticleData()
commentList = getAllCommentsData()
def getTypeList():# 返回爬取到的所有文章的类型(已去重)
return list(set([x[8] for x in getAllArticleData()]))
def getArticleByType(type):# 根据特定文章类型筛选文章
articles = []
for i in articleList:
if i[8] == type:
articles.append(i)
return articles
def getArticleCharLikeCount(type):# 统计特定类型文章的点赞数分布
articles = getArticleByType(type)
xData = ['0-100','100-1000','1000-5000','5000-15000','15000-30000','30000-50000','50000-~']
yData = [0 for x in range(len(xData))]# 初始化为长度和xData相同但是每一个元素都是零的列表
for article in articles:
likeCount = int(article[1])
if likeCount < 100:
yData[0] += 1
elif likeCount < 1000:
yData[1] += 1
elif likeCount < 5000:
yData[2] += 1
elif likeCount < 15000:
yData[3] += 1
elif likeCount < 30000:
yData[4] += 1
elif likeCount < 50000:
yData[5] += 1
elif likeCount >= 50000:
yData[6] += 1
return xData,yData
def getArticleCharCommentsLen(type):# 统计特定类型文章的评论数分布
articles = getArticleByType(type)
xData = ['0-100','100-500','500-1000','1000-1500','1500-3000','3000-5000','5000-10000','10000-15000','15000-~']
yData = [0 for x in range(len(xData))]# 初始化为长度和xData相同但是每一个元素都是零的列表
for article in articles:
commentLen = int(article[2])
if commentLen < 100:
yData[0] += 1
elif commentLen < 500:
yData[1] += 1
elif commentLen < 5000:
yData[2] += 1
elif commentLen < 1000:
yData[3] += 1
elif commentLen < 1500:
yData[4] += 1
elif commentLen < 3000:
yData[5] += 1
elif commentLen < 5000:
yData[6] += 1
elif commentLen < 10000:
yData[7] += 1
elif commentLen >= 15000:
yData[8] += 1
return xData,yData
def getArticleCharRepotsLen(type):# 统计特定类型文章的转发数分布
articles = getArticleByType(type)
xData = ['0-100','100-300','300-500','500-1000','1000-2000','2000-3000','3000-4000','4000-5000','5000-10000','10000-15000','15000-30000','30000-70000','70000-~']
yData = [0 for x in range(len(xData))]
for article in articles:
repostsCount = int(article[3])
if repostsCount < 100:
yData[0] += 1
elif repostsCount < 300:
yData[1] += 1
elif repostsCount < 500:
yData[2] += 1
elif repostsCount < 1000:
yData[3] += 1
elif repostsCount < 3000:
yData[4] += 1
elif repostsCount < 4000:
yData[5] += 1
elif repostsCount < 5000:
yData[6] += 1
elif repostsCount < 10000:
yData[7] += 1
elif repostsCount < 15000:
yData[8] += 1
elif repostsCount < 30000:
yData[9] += 1
elif repostsCount < 70000:
yData[10] += 1
elif repostsCount >= 70000:
yData[11] += 1
return xData,yData
def getIPCharByArticleRegion():#统计文章发布地域的分布情况
articleRegionDic = {}
for i in articleList:
if i[4] != '无':# 如果ip为确定值的话就进行下一步
if i[4] in articleRegionDic.keys():
articleRegionDic[i[4]] += 1
else:
articleRegionDic[i[4]] = 1
resultData = []
for key,value in articleRegionDic.items():
resultData.append({
'name':key,
'value':value
})
return resultData
def getIPCharByCommentsRegion():#统计评论发布地域的分布情况
commentRegionDic = {}
for i in commentList:
if i[3] != '无':
if i[3] in commentRegionDic.keys():
commentRegionDic[i[3]] += 1
else:
commentRegionDic[i[3]] = 1
resultData = []
for key,value in commentRegionDic.items():
resultData.append({
'name':key,
'value':value
})
return resultData
def getCommentCharDataOne():# 统计评论点赞数的分布情况
xData = []
rangeNum = 20
for item in range(100):
xData.append(str(rangeNum * item) + '-' + str(rangeNum * (item + 1)))
yData = [0 for x in range(len(xData))]
for comment in commentList:
for item in range(100):
if int(comment[2]) < rangeNum * (item + 1):
yData[item] += 1
break
return xData,yData
def getCommentCharDataTwo():# 统计评论数据中不同性别的数量
genderDic = {}
for i in commentList:
if i[6] in genderDic.keys():
genderDic[i[6]] += 1
else:
genderDic[i[6]] = 1
resultData = []
for key,value in genderDic.items():
resultData.append({
'name':key,
'value':value
})
return resultData
def getYuQingCharDataOne():# 统计热词中正面、中性、负面的数量
hotWordList = getAllHotWords()
xData = ['正面','中性','负面']
yData = [0,0,0]
for word in hotWordList:
emotionValue = SnowNLP(word[0]).sentiments
if emotionValue > 0.5:
yData[0] += 1
elif emotionValue == 0.5:
yData[1] += 1
elif emotionValue < 0.5:
yData[2] += 1
finalData = [{
'name':x,
'value':yData[index]
} for index,x in enumerate(xData)]
return xData,yData,finalData
def getYuQingCharDataTwo():# 统计评论列表和文章列表中的情感值
xData = ['正面', '中性', '负面']
finalData1 = [{
'name':x,
'value':0
} for x in xData]
finalData2 = [{
'name': x,
'value': 0
} for x in xData]
for comment in commentList:
emotionValue = SnowNLP(comment[4]).sentiments
if emotionValue > 0.5:
finalData1[0]['value'] += 1
elif emotionValue == 0.5:
finalData1[1]['value'] += 1
elif emotionValue < 0.5:
finalData1[2]['value'] += 1
for artile in articleList:
emotionValue = SnowNLP(artile[5]).sentiments
if emotionValue > 0.5:
finalData2[0]['value'] += 1
elif emotionValue == 0.5:
finalData2[1]['value'] += 1
elif emotionValue < 0.5:
finalData2[2]['value'] += 1
return finalData1,finalData2
def getYuQingCharDataThree():# 提取前10个热词及其对应的出现频率
hotWordList = getAllHotWords()
xData = []
yData = []
for i in hotWordList[:10]:
xData.append(i[0])
yData.append(int(i[1]))
return xData,yData