From 9bc4d003d91c1ceeb56384fe54f58667314c3932 Mon Sep 17 00:00:00 2001
From: juanboy <2980526980@qq.com>
Date: Tue, 2 Jul 2024 17:25:05 +0800
Subject: [PATCH] =?UTF-8?q?=E3=80=90getEchartsData.py=E3=80=91=E5=AF=B9?=
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---
 utils/getEchartsData.py | 154 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 154 insertions(+)
 create mode 100644 utils/getEchartsData.py

diff --git a/utils/getEchartsData.py b/utils/getEchartsData.py
new file mode 100644
index 0000000..f4a3cde
--- /dev/null
+++ b/utils/getEchartsData.py
@@ -0,0 +1,154 @@
+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
+