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2018-04-02 00:41:45,927 - html_downloader - INFO - 页面下载:成功!
2018-04-02 00:41:46,052 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103102178677.html
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2018-04-02 00:41:46,055 - html_parser - INFO - 1.3 PG页面解析:pg页面解析成功!
2018-04-02 00:41:48,055 - spider_main - INFO - 1.1 拼接页面地址:https://nj.lianjia.com/ershoufang/gulou/pg2/
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2018-04-02 00:41:48,624 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103100612985.html
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2018-04-02 00:41:48,626 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103102170541.html
2018-04-02 00:41:48,626 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103102193346.html
2018-04-02 00:41:48,626 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103102204055.html
2018-04-02 00:41:48,626 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103102209424.html
2018-04-02 00:41:48,627 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103101491791.html
2018-04-02 00:41:48,627 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103102024868.html
2018-04-02 00:41:48,627 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103101923693.html
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2018-04-02 00:41:48,627 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103101341481.html
2018-04-02 00:41:48,627 - html_parser - INFO - 1.3 PG页面解析:pg页面解析成功!
2018-04-02 00:41:49,627 - spider_main - INFO - 1.1 拼接页面地址:https://nj.lianjia.com/ershoufang/gulou/pg3/
2018-04-02 00:41:50,109 - html_downloader - INFO - 页面下载:成功!
2018-04-02 00:41:50,213 - html_parser - INFO - https://nj.lianjia.com/ershoufang/103101714363.html
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2018-04-02 00:41:50,214 - html_parser - INFO - https://nj.lianjia.com/ershoufang/10
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基于Python的南京二手房数据采集及可视化分析.zip
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csv:18个
py:18个
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基于Python的南京二手房数据采集及可视化分析.zip (120个子文件)
ershoufang-origin-utf8.csv 6.7MB
ershoufang-origin-utf8.csv 6.7MB
ershoufang.csv 5.4MB
ershoufang - 20000.csv 5.4MB
ershoufang-origin-ansi.csv 5.4MB
ershoufang-origin-ansi.csv 5.4MB
ershoufang-clean-utf8-v1.1.csv 5.11MB
ershoufang-clean-utf8-v1.1.csv 5.11MB
ershoufang-clean-ansi-v1.1.csv 3.91MB
ershoufang-clean-ansi-v1.1.csv 3.91MB
ershoufang-10000.csv 3.07MB
latlng.csv 1.27MB
latlng - 副本.csv 1.17MB
ershoufang - 副本.csv 873KB
testv1.csv 6KB
testv2.csv 4KB
ershoufang-mini-utf8.csv 3KB
ershoufang-mini-ansi.csv 2KB
.DS_Store 6KB
.DS_Store 6KB
.DS_Store 6KB
.DS_Store 6KB
.DS_Store 6KB
原始代码.html 7KB
k-means聚类结果分组4.html 3KB
k-means聚类结果分组4 - dark.html 3KB
南京二手房总价小于200万的分布图.html 3KB
k-means聚类结果分组1 - dark.html 3KB
k-means聚类结果分组3.html 3KB
k-means聚类结果分组0 - dark.html 3KB
k-means聚类结果分组1.html 3KB
k-means聚类结果分组0.html 3KB
k-means聚类结果分组2 - dark.html 3KB
k-means聚类结果分组3-dark.html 3KB
k-means聚类结果分组2.html 3KB
闪烁点.html 3KB
南京二手房总价热力图.html 2KB
南京二手房单价热力图.html 2KB
workspace.ini 595B
workspace.ini 443B
vcs.ini 85B
vcs.ini 85B
encoding.ini 58B
encoding.ini 58B
codestyle.ini 56B
codestyle.ini 56B
house2.jpg 183KB
house1.jpg 147KB
unitprice1.js 1.33MB
total.js 1.26MB
baidu_map_total.js 1.26MB
unitprice.js 1.2MB
cluster3.js 623KB
xiaoyu201.js 388KB
xiaoyu201.js 388KB
cluster1.js 309KB
cluster2.js 262KB
cluster4.js 70KB
cluster0.js 60KB
南京二手房数据词云2.png 523KB
南京二手房数据词云.png 485KB
聚类结果-单价与建筑面积散点图2.png 178KB
聚类结果-单价与建筑面积散点图.png 171KB
15南京二手房单价与建筑面积散点图.png 165KB
聚类结果-总价价与建筑面积散点图.png 117KB
聚类结果-总价价与建筑面积散点图2.png 109KB
14南京二手房总价与建筑面积散点图.png 78KB
6南京二手房房屋户型占比情况.png 69KB
3南京各区域平均建筑面积和单价.png 68KB
11南京各区域二手房总价箱形图2.png 64KB
12南京各区域二手房单价箱形图.png 64KB
11南京各区域二手房总价箱形图.png 57KB
5南京二手房单价最高Top20.png 53KB
4南京二手房各区域房源数量2.png 49KB
8南京二手房建筑类型占比情况.png 40KB
不同k值下的总和方差折线图1.png 40KB
不同k值下的平方误差和.png 39KB
5南京二手房单价最高Top10.png 39KB
7南京二手房房屋装修占比情况.png 39KB
1南京各区域二手房平均单价.png 38KB
不同k值下的总和方差折线图2.png 37KB
4南京二手房各区域房源数量.png 35KB
2南京各区域二手房平均建筑面积.png 34KB
10南京二手房房屋用途水平柱状图.png 33KB
13南京二手房建筑面积分布区间.png 32KB
9南京二手房房屋朝向分布情况.png 29KB
kmeans.py 9KB
run.py 7KB
price_and_area.py 6KB
test_ana.py 5KB
spider_main.py 5KB
html_parser.py 4KB
house_attr.py 3KB
gaode_map.py 3KB
html_downloader.py 3KB
test_clean.py 2KB
pylot.py 2KB
html_outputer.py 2KB
test.py 2KB
business_attr.py 1KB
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