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python爬取千万淘宝商品的脚本

timeout = 5, headers = header).text def item_thread(cate_queue, db_cate, db_item): while True: try: cate = bOK: post_exist = False except: post_exist = False if post_exist == True: print(cate-{}: {} already (1): url = URL_BASE.format(quote_plus(cate), item_page) for tr in range(5): try: items_obj = json.loads for item in items_obj: item_obj = dict( _id = int(item), name = item, price = float(item), query = cate (utf-8)) except: db_cate.Put(na.encode(utf-8), bwaiting) db_cate.Put(cate.encode(utf-8), bOK) print(cate

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python爬取千万淘宝商品的脚本

timeout = 5, headers = header).text def item_thread(cate_queue, db_cate, db_item): while True: try: cate = bOK: post_exist = False except: post_exist = False if post_exist == True: print(cate-{}: {} already (1): url = URL_BASE.format(quote_plus(cate), item_page) for tr in range(5): try: items_obj = json.loads for item in items_obj: item_obj = dict( _id = int(item), name = item, price = float(item), query = cate (utf-8)) except: db_cate.Put(na.encode(utf-8), bwaiting) db_cate.Put(cate.encode(utf-8), bOK) print(cate

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    十分钟掌握微信小程序开发:高仿电商产品分类功能

    {height: 90rpx;line-height: 90rpx;text-align: center;border-left: 3px solid #fff;}.categroy-left .cate-list.on #3aa4ff;border-color: #3aa4ff;}.categroy-right {float: right;width: 80%;height: 100%;overflow: hidden;}.cate-box {height: 100%;padding: 40rpx;box-sizing: border-box;}.cate-title {position: relative;height: 30rpx;padding center;color: #3aa4ff;font-size: 28rpx;}这是{}页面category.jsPage({data: {category: ,detail: },{id: a1,cate : 男装,detail: },{id: a3,cate: 女内衣,detail: ,curIndex: 0,isScroll: false,toView: a0},switchTab(e) {const

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    【Python可视化】超详细Pyecharts 1.x教程,让你的图表动起来~

    = data1 = data2 = # 1.x版本支持链式调用bar = (Bar() .add_xaxis(cate) .add_yaxis(电商渠道, data1) .add_yaxis(门店, # 单独调用bar = Bar()bar.add_xaxis(cate)bar.add_yaxis(电商渠道, data1)bar.add_yaxis(门店, data2)bar.set_global_opts 标记每个系列的最大值bar = (Bar() .add_xaxis(cate) .add_yaxis(电商渠道, data1) .add_yaxis(门店, data2) .set_series_opts 基本图表饼图from pyecharts.charts import Piefrom pyecharts import options as opts # 示例数据cate = data = pie 折线图from pyecharts.charts import Linefrom pyecharts import options as opts # 示例数据cate = data1 = data2

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    如何使用小程序导航

    页面准备在开始介绍之前,我们首先需要准备一些准备跳转的页面,我这里先创建两个名为tags标签页面和cate目录页面。 在小程序项目管理页面,点击pages目录,然后新建目录,创建两个名为tags和cate的目录。接下来,分别在这两个文件中创建两个名为tags和cate的页面。 跳转到cate跳转到tags配合其他组件使用通过点击跳转到cate按钮即可转跳到cate页面。 跳转到cate跳转到tags使用路由APInavigator组件还可以使用open-type来调用路由API来实现不同的功能,具体参数详见下表。 跳转到cate跳转到tags现在,点击跳转到cate和跳转到tags看看有什么区别?cate的返回按钮怎么没有了?我们先看看路由API的文档。

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    zblogphp常用的单独调用文章tag缩略图等语句

    获取分类ID为5的文章列表,并且包含子分类:{php}$str=;$cate=5;$array=Getlist(10,$cate,null,null,null,null,array(has_subcate $cate->Name.;        }    echo $str;    }else{ 如果父分类不存在,显示自身所有自分类的列表$str.=. $cate->Name.;        }    echo $str;    }    }elseif ($type==article){        $sidelistcategory=$zbp- ){        if ($cate->ID==$article->Category->ID){          $str.=. $cate->Name.;        }else{      $str.=.

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    大赞Pyecharts,教你做动态可视化!

    = data1 = data2 = # 1.x版本支持链式调用bar = (Bar() .add_xaxis(cate) .add_yaxis(电商渠道, data1) .add_yaxis(门店, # 单独调用bar = Bar()bar.add_xaxis(cate)bar.add_yaxis(电商渠道, data1)bar.add_yaxis(门店, data2)bar.set_global_opts 标记每个系列的最大值bar = (Bar() .add_xaxis(cate) .add_yaxis(电商渠道, data1) .add_yaxis(门店, data2) .set_series_opts 基本图表饼图from pyecharts.charts import Piefrom pyecharts import options as opts # 示例数据cate = data = pie 折线图from pyecharts.charts import Linefrom pyecharts import options as opts # 示例数据cate = data1 = data2

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    Thinking in React Implemented by Reagent

    rows-info} product] (let ) (list)) rows (cons ^{:key (:name product)} curr-rows)] (-> rows-info (assoc :cate curr-cate) ;; 更新cate值 (update :rows (fn (concat rows o)) rows)))) ;; 更新rows值 {:cate nil :rows ()} products rows-info} product] (let ) (list)) rows (cons ^{:key (:name product)} curr-rows)] (-> rows-info (assoc :cate curr-cate) ;; 更新cate值 (update :rows (fn (concat rows o)) rows)))) ;; 更新rows值 {:cate nil :rows ()} products

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    Thinking in React Implemented by Reagent

    rows-info} product] (let ) (list)) rows (cons ^{:key (:name product)} curr-rows)] (-> rows-info (assoc :cate curr-cate) ;; 更新cate值 (update :rows (fn (concat rows o)) rows)))) ;; 更新rows值 {:cate nil :rows ()} products rows-info} product] (let ) (list)) rows (cons ^{:key (:name product)} curr-rows)] (-> rows-info (assoc :cate curr-cate) ;; 更新cate值 (update :rows (fn (concat rows o)) rows)))) ;; 更新rows值 {:cate nil :rows ()} products

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    Laravel框架搜索分页功能示例

    param void * @return void *public function mesArticleSearch(){ 接值 $input=Input::get(); 调用模型查询 实例化类 $cate =new Article(); 调用自定义方法 查询分类 $artInfo=$cate- searchAll($input); 从session的用户名 $username=session(user_name ); 实例化类 $cate=new Category(); 调用自定义方法 查询分类 $cateInfo=$cate- selectAll(); return view(admin.article,,title

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    php中赋值、浅拷贝与深拷贝

    从php5开始,对象的赋值是引用传递,所下面所示:class A{ public $name = cate;} $a = new A();$b = $a;$a->name = king;print_r( $b->name); 输出:king而使用关键字克隆clone则是浅拷贝:class foo{ public $a= 1;}class A{ public $name = cate; public $obj construct() { $this->$obj = new A(); } } $a = new A();$b = clone $a;$b->name = king;print_r($a->name); 输出:cate class foo{ public $a= 1;}class A{ public $name = cate; public $obj; public function __construct() { $

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    Nginx给目录添加反斜杠的伪静态规则方法

    cate=$1&page=$2RewriteRule category(?!zb_)(.*) catalog.asp? cate=$1RewriteRule author-(+)_(+).html catalog.asp? cate=$1&page=$2 RewriteRule ^category(?!zb_)(.*)$ catalog.asp? cate=$1 RewriteRule ^author-(+)_(+).html$ catalog.asp?

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    pyecharts基础之柱状图的绘制

    了解了链式调用以后,我们来试试给他增加另一个店铺的价格并加上标题from pyecharts.charts import Barfrom pyecharts import options as opts # 示例数据cate = data1 = data2 = # 1.x版本支持链式调用bar = (Bar() .add_xaxis(cate) .add_yaxis(商家1, data1) .add_yaxis(商家2, pyecharts.charts import Barfrom pyecharts import options as optsfrom pyecharts.globals import ThemeType#导入主题 # 示例数据cate = data2 = # 1.x版本支持链式调用bar = (Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))#使用主题 .add_xaxis(cate

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    AB实验人群定向HTE模型2 - Causal Tree with Trigger

    作者在通过树划分用户群的同时计算能够使该用户群CATE最大化的Trigger阈值。既在遍历所有特征可能取值的同时遍历所有treatment的可能取值,取jointly的最优解。 Node Penalty在Athey(2016)的Casual Tree中,作者通过在Cost Functino中加入叶节点方差,以及用验证集估计CATE的方式来解决决策树过拟合的问题。 这里Tran提出的新的penalty旨在衡量相同节点训练集和验证机在CATE估计上的差异。 AB实验分组} &T_i in {0,1} quad &Y_i = begin{cases} Y(1) & quad T_i = 0 Y(0) & quad T_i = 1 end{cases} &CATE T_i=t, i in S_l}Y_i quad text{AB组Y的均值} &hat{tau}(S_l) = hat{mu_1}(S_l) -hat{mu_0}(S_l) quad text{叶节点CATE

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    Z-BlogPHP 主题制作技巧,随机获得文章中的图片

    TransferHTML($article.Intro,),200)}分类目录面包屑的代码编写{php}$html=;function navcate($id){        global $html;        $cate  = new Category;        $cate->LoadInfoByID($id);        $html =>>   . $cate->Name.  . $html;        if(($cate->ParentID)>0){navcate($cate->ParentID);}}navcate($article->Category->ID);global

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    Python中使用MongoEngine

    查询10=>> cate >>> cate.nameuLinux查询包含Linux分类的文章>>> cate = Categories.objects(name=Linux).first()>>> Posts.objects (categories=cate)EmbeddedDocument 嵌入文档继承EmbeddedDocument的文档类就是嵌入文档,嵌入文档用于嵌入其他文档的EmbeddedDocumentField tag = Tags(name=Linuxzen)>>> post = Posts(title=Linuxzen.com, content=Linuxzen.com, tags=, categories=cate

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    Phantomjs+Nodejs+Mysql数据抓取(2.抓取图片)

    versionServerserver.txt;var stream = null;var steams = null;var files = null;var K=1;var line =;var cate streams.atEnd()){ console.log(=========work in befor get Next Line===========); line = streams.readLine(); cate streams.atEnd()){ console.log(=========work in befor get Next Line===========); line = streams.readLine(); cate fs = require(fs);var i=0; lineReader.eachLine(imgs.txt, {encoding: utf8},function(line, last) { var cate = line.split(:); var url1 = cate; var tt = cate.replace(g,,); i++; console.log(tt+==============>+i)

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    PHP+ajax实现上传、删除、修改单张图片及后台处理逻辑操作详解

    layer.close(index); });} else { layer.msg(未选择图片, {icon: 0}); }}) php代码1.如果栏目原来有图片&&现在撤销了,就删除旧图片 if (($cate $cate); }如果上传了新的图片 $file = request()->file(pic); 移动到框架应用根目录publicuploads 目录下 if ($file) { $info = $file $info->getSaveName(); $data = $pic; 2.新的图片上传成功后,如果栏目原来有图片,删除原来栏目图片 if ($cate) { @unlink(ROOT_PATH . public $cate); } } else { 上传失败获取错误信息 $this->error($file->getError()); } }希望本文所述对大家PHP程序设计有所帮助。

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    手把手教你使用Python网络爬虫获取搜狗壁纸

    def Shou(self, category, length, path): n = length cate = category4、json解析。 category= + cate + &tag=%E5%85%A8%E9%83%A8&start=0&len= + str( n)) jd = json.loads(imgs.text) jd = jd m = 0 for img_url in imgs_url: # print(img_url) print(***** + cate + str(m) + .jpg ***** + Downloading img = requests.get(url=img_url, headers=self.headers).content8、保存图片 with open(path + cate + str(m) +

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    使用 Django 项目中的 ORM 编写伪造测试数据脚本

    tag_list = a_year_ago = timezone.now() - timedelta(days=365) print(create categories and tags) for cate in category_list: Category.objects.create(name=cate) for tag in tag_list: Tag.objects.create(name=tag tag1 = tags.first() tag2 = tags.last() cate = Category.objects.order_by(?). .), body=nn.join(fake.paragraphs(10)), created_time=created_time, category=cate, author=user, ) post.tags.add tag1 = tags.first() tag2 = tags.last() cate = Category.objects.order_by(?).

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