parent
e169ebc833
commit
2011c96e8d
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import random
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import re
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import jieba as jieba
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import pymysql
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from django.http import HttpResponse
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from django.shortcuts import render
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from django.views.decorators.clickjacking import xframe_options_sameorigin
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from jinja2 import Environment, FileSystemLoader
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from pyecharts.faker import Faker
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from pyecharts.globals import CurrentConfig
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from django.http import HttpResponse
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from pyecharts import options as opts
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from pyecharts.charts import Bar, Pie
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from pyecharts.charts import WordCloud
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CurrentConfig.GLOBAL_ENV = Environment(loader=FileSystemLoader("./demo/templates"))
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def home(request):
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return render(request, 'home.html')
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@xframe_options_sameorigin
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def page_views(request, page):
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# 解析路由，找到返回的页面
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# current = request.path.split('/')[-1]
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# return render(request, current + '.html')
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return render(request, 'page' + str(page) + '.html')
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def table_one(request):
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x = []
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xaxis = []
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yaxis = []
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conn = pymysql.connect(host='120.79.165.140',
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user='kino',
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passwd="student",
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db='python_web_spider_DB')
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cur = conn.cursor()
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sql1 = "SELECT distinct 规格 from wh_xinfadi"
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sql2 = "SELECT 规格,count(distinct 蔬菜种类) from wh_xinfadi group BY 规格"
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cur.execute(sql1)
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for sp in cur:
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init = str(sp)
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if '\'' in init:
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this_kind = init.split('\'')[1]
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else:
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this_kind = init
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if re.match(r'^([\u4e00-\u9fa5]+类)$', this_kind):
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x.append(this_kind)
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cur.execute(sql2)
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for it in cur:
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if it[0] in x:
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xaxis.append(it[0])
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yaxis.append(it[1])
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c = (
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Bar()
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.extend_axis(xaxis)
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.add_xaxis(xaxis)
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.add_yaxis('北京新发地菜市', yaxis,)
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.set_global_opts(
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title_opts=opts.TitleOpts(
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title="北京新发地菜市场",
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subtitle="产品种类分析"
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),
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datazoom_opts=opts.DataZoomOpts(),
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)
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)
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# conn.commit() # 记得提交
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cur.close()
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conn.close()
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return HttpResponse(c.render_embed('北京新发地菜市场产品种类分析.html'))
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def pie_views(requset):
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data = [
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['1990年及以前', 0],
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['1991到1995年', 0],
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['1996到2000年', 0],
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['2001到2005年', 0],
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['2006到2010年', 0],
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['2011到2015年', 0],
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['2016年至今', 0],
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]
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colors = []
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while True:
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color = random.choice(
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[
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"#c23531",
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"#2f4554",
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"#61a0a8",
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"#d48265",
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"#749f83",
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"#ca8622",
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"#bda29a",
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"#6e7074",
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"#546570",
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"#c4ccd3",
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"#f05b72",
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"#444693",
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"#726930",
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"#b2d235",
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"#6d8346",
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"#ac6767",
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"#1d953f",
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"#6950a1",
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]
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)
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if color not in colors:
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colors.append(color)
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if len(colors) == len(data):
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break
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conn = pymysql.connect(host='120.79.165.140',
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user='kino',
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passwd="student",
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db='python_web_spider_DB')
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cur = conn.cursor()
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sql1 = "SELECT 上映年份 from wh_doubanmovie"
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cur.execute(sql1)
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for i in cur:
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year = int(str(i).split('\'')[1])
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if year <= 1990:
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data[0][1] += 1
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elif 1990 < year <= 1995:
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data[1][1] += 1
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elif 1995 < year <= 2000:
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data[2][1] += 1
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elif 2000 < year <= 2005:
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data[3][1] += 1
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elif 2005 < year <= 2010:
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data[4][1] += 1
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elif 2010 < year <= 2015:
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data[5][1] += 1
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elif 2015 < year:
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data[6][1] += 1
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c = (
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Pie()
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.add("", data)
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.set_colors(colors)
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# .add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
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# .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
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.set_global_opts(title_opts=opts.TitleOpts(title=""))
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.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
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)
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cur.close()
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conn.close()
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return HttpResponse(c.render_embed('豆瓣电影排行top250年份分布.html'))
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def word_cloud(request):
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x = []
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data = []
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delete = ['的','你','我','他','说','了','话','这','是','吗','吧','都',
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'也','吗','吧','都','不','为','他们','啊','则','和','在',]
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conn = pymysql.connect(host='120.79.165.140',
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user='kino',
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passwd="student",
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db='python_web_spider_DB')
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cur = conn.cursor()
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sql1 = "SELECT comments from xjh_wangyiyun"
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cur.execute(sql1)
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txt = ''
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for i in cur:
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ss = str(i)
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if '\'' in ss:
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txt += ss.split('\'')[1]
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ls = jieba.lcut(txt)
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for item in ls:
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if re.match(r'^([\u4e00-\u9fa5]+)$', item):
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x.append(item)
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for item in x[::]:
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t = (item, x.count(item)*3)
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data.append(t)
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while item in x:
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x.remove(item)
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for item in data:
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if item[1] == 0 or item[0] in delete:
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data.remove(item)
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data.sort(key=lambda x: x in data)
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c = (
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WordCloud()
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.add(series_name="歌曲:Mood 的评论高频词", data_pair=data, word_size_range=[10, 70])
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.set_global_opts(
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title_opts=opts.TitleOpts(
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title="网易云歌曲评论词云", title_textstyle_opts=opts.TextStyleOpts(font_size=23)
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),
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tooltip_opts=opts.TooltipOpts(is_show=True),
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)
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)
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cur.close()
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conn.close()
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return HttpResponse(c.render_embed('网易云歌曲评论词云.html'))
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