<div id="wea_rich_text_default_font" style="font-family:微软雅黑;font-size:12;"><p><img alt="" src="/weaver/weaver.file.FileDownload?fileid=aaa9aee4717d33272bd7ea028fa03118b693919f23b18febf9f6cee1158e8f4cf027542c71c8cf98d63770ccdf3bd1750e6b92e28c43dccd4" /></p><div class="ckeditor-html5-video" data-widget="html5video" style="text-align:left"><video controls="controls" src="/weaver/weaver.file.FileDownload?fileid=aad6f413f83191673980c5ee24b412880d6b9e8703caca411faec3276fe8133f5fa7e34630ca89ace63770ccdf3bd175071362141037cfb4e&download=1" style="max-width:100%"> </video></div><table border="1" cellpadding="1" style="width:500px;"> <tbody> <tr> <td style="padding: 1px;">1</td> <td style="padding: 1px;">1</td> </tr> <tr> <td style="padding: 1px;">2</td> <td style="padding: 1px;">2</td> </tr> <tr> <td style="padding: 1px;">3</td> <td style="padding: 1px;">3<a href="http://localhost:8080/wui/index.html#/main/portal/portal-1-1?menuIds=0,1&menuPathIds=0,1&_key=zq8830" target="_blank">http://localhost:8080/wui/index.html#/main/portal/portal-1-1?menuIds=0,1&menuPathIds=0,1&_key=zq8830</a></td> </tr> </tbody></table><p>测试<a href="http://localhost:8080/wui/index.html#/main/portal/portal-1-1?menuIds=0,1&menuPathIds=0,1&_key=zq8830" target="_blank">http://localhost:8080/wui/index.html#/main/portal/portal-1-1?menuIds=0,1&menuPathIds=0,1&_key=zq8830</a></p><p> </p><p>修改一下吧 qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq<img alt="" src="/weaver/weaver.file.FileDownload?fileid=a7617945ec5f52ec80aaa43ee8504de0a1b14d5eca4a98834494c85349762c626dec7ba8d0da277106ee600d27743f4e44f710fbddd167603" /></p></div>

<?xml version="1.0" encoding="utf-8"?> <manifest xmlns:android="http://schemas.android.com/apk/res/android" xmlns:tools="http://schemas.android.com/tools" tools:ignore="ExtraText"> <application android:name="org.litepal.LitePalApplication" android:allowBackup="true" android:dataExtractionRules="@xml/data_extraction_rules" android:fullBackupContent="@xml/backup_rules" android:icon="@mipmap/ic_launcher" android:label="@string/app_name" android:supportsRtl="true" android:theme="@style/Theme.Wea" tools:targetApi="31" tools:ignore="MissingClass"> <activity android:name=".MainActivity" android:exported="true"> <intent-filter> <action android:name="android.intent.action.MAIN" /> <category android:name="android.intent.category.LAUNCHER" /> </intent-filter> </activity> </application> <uses-permission android:name="android.permission.INTERNET" /> </manifest>这篇代码的package属性是什么

这段代码中没有给出 package 属性，可能是因为它被省略了。但是根据约定，package 属性通常会在文件的开头定义，例如： <?xml version="1.0" ...</manifest> 在这个例子中，包名是 com.example.myapp。

getWeather: function () { axios({ url: 'https://www.yiketianqi.com/free/day', method: 'get', params: { appid: '[13137855]', appsecret: '[UriEwF84]', vue: 1, unescape: 1, city: this.city_text } }) .then((response) => { const data = response.data; this.city = data.city; this.date = data.date; this.week = data.week; this.wea = data.wea; this.wea_img = data.wea_img; this.tem = data.tem; this.tem_day = data.tem_day; this.tem_night = data.tem_night; this.win = data.win; this.win_speed = data.win_speed; this.win_meter = data.win_meter; this.air = data.air; this.pressure = data.pressure; this.humidity = data.humidity; }) .catch((error) => { this.error_text = error.message; }); } }为什么搜索不了

根据给出的代码，搜索可能无法正常工作的原因可能有以下几个： 1. 接口调用失败：在获取天气信息的过程中，如果 API 接口返回错误信息或者响应超时，搜索功能就无法正常工作。可以通过查看浏览器的控制台或者调试...

import requestsfrom bs4 import BeautifulSoup# 构造请求urlurl = 'https://www.tianqi.com/zhongmou/10/'# 发送GET请求headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.43'}response = requests.get(url,headers=headers)# 判断请求是否成功if response.status_code == 200: # 解析HTML页面 soup = BeautifulSoup(response.text, 'html.parser') # 获取天气信息 city = soup.find_all('ul class_="weaul"', class_='crumbs fl').find_all('a')[-1].text.strip() weather = soup.find_all('ul class_="weaul"', class_='wea').text.strip() temperature = soup.fin_alld('ul class_="weaul"', class_='tem').span.text.strip() wind = soup.find_all('ul class_="weaul"', class_='').i.text.strip() humidity = soup.find_all('ul class_="weaul"', class_='humidity').span.text.strip() # 将天气信息写入文本文件 with open('weather.txt', 'w', encoding='utf-8') as f: f.write(f"城市：{city}\n天气：{weather}\n温度：{temperature}\n风力：{wind}\n湿度：{humidity}")else: print("请求天气预报数据失败！")检查并修改以上程序

weather = soup.find_all('ul class_="weaul"', class_='wea').text.strip() temperature = soup.fin_alld('ul class_="weaul"', class_='tem').span.text.strip() wind = soup.find_all('ul class_="weaul"', ...

weather = list(weather['天气']) dic_wea = {} for i in range(0,15): if weather[i] in dic_wea.keys(): dic_wea[weather[i]] += 1 else: dic_wea[weather[i]] = 1 print(dic_wea) explode = [0.01] * len(dic_wea.keys()) color = ['lightskyblue', 'silver', 'yellow', 'salmon', 'grey', 'lime', 'gold', 'red', 'green', 'pink'] plt.pie(dic_wea.values(), explode=explode, labels=dic_wea.keys(), autopct='%1.1f%%', colors=color) plt.title('廊坊23年5月天气候分布饼图') plt.show() 报错，显示IndexError: list index out of range 怎么改正

因此，你需要将 explode 列表长度扩展到与 dic_wea.keys() 列表长度相同，可以将其修改为： python # 将 explode 列表长度扩展到与 dic_wea.keys() 列表长度相同 explode = [0.01] * len(dic_wea.keys()) ...

代码weather = list(weather['天气']) dic_wea = {} for i in range(0,30): if weather[i] in dic_wea.keys(): dic_wea[weather[i]] += 1 else: dic_wea[weather[i]] = 1 print(dic_wea) explode = [0.01] * len(dic_wea.keys()) color = ['lightskyblue', 'silver', 'yellow', 'salmon', 'grey', 'lime', 'gold', 'red', 'green', 'pink'] plt.pie(dic_wea.values(), explode=explode, labels=dic_wea.keys(), autopct='%1.1f%%', colors=color) plt.title('惠州23年5月天气候分布饼图') plt.show() 报错name 'weather' is not defined。改正这个错误，给我一个正确的代码

plt.pie(dic_wea.values(), explode=explode, labels=dic_wea.keys(), autopct='%1.1f%%', colors=color) plt.title('惠州23年5月天气候分布饼图') plt.show() 注意：在这个示例代码中，我们假设你已经将天气...

apiService.getWeatherList(cityName,Appid,Appsecret,unescape).enqueue(new Callback<weatherList>() { @Override public void onResponse(Call<weatherList> call, Response<weatherList> response) { List<weather> list=response.body().weatherList; for (weather weaInfo : list) { String win = weaInfo.getWin() +" "+ weaInfo.getWin_speed(); String date = weaInfo.getDate(); String wea = weaInfo.getWea(); String maxTem = weaInfo.getTem_day(); String minTem = weaInfo.getTem_night(); String tem = String.format("%s° / %s°",minTem,maxTem); ItemBean itemBean=new ItemBean(date,wea,win,tem,SelectWeatherImage(wea)); weathersList.add(itemBean); } //获取到数据后渲染list myAdapter=new MyAdapter(getContext()); listView.setAdapter(myAdapter); } @Override public void onFailure(Call<weatherList> call, Throwable t) { t.printStackTrace(); } });

这段代码是Java语言中使用Retrofit框架向远程API接口发起HTTP请求，获取指定城市天气信息数据并将其展示在一个ListView控件上。具体的实现步骤如下： 1. 调用apiService中的getWeatherList方法，参数包括城市名称...

datas = wea.process() AttributeError: 'Spider' object has no attribute 'process'

这个错误通常是因为在类中没有定义process()方法，或者process()方法的访问权限不正确。请检查您的代码并确保process()方法已正确定义并且可以被访问。 --相关问题--: 1. 什么是AttributeError？...

module test; // Inputs reg clka; reg [0:0] wea; reg [5:0] addra; reg [31:0] dina; // Outputs wire [31:0] douta; // Instantiate the Unit Under Test (UUT) RAM_B uut ( .clka(clka), .wea(wea), .addra(addra), .dina(dina), .douta(douta) ); initial begin // Initialize Inputs clka = 0; wea = 0; addra = 0; dina = 0; // Wait 100 ns for global reset to finish #100; // Add stimulus here clka = 1; wea = 0; addra = 6'b000001; dina = 32'h0000_0003; #100; clka = 0; wea = 0; addra = 6'b000001; dina = 32'h0000_0607; #100; clka = 1; wea = 1; addra = 6'b000001; dina = 32'hFFFF_FFFF; #100; clka = 0; wea = 1; addra = 6'b000001; dina = 32'hFFFF_FFFF; end

输入信号包括 clka、wea、addra 和 dina，分别表示时钟信号、写使能、写地址和写数据。输出信号为 douta，表示从 RAM_B 模块中读出的数据。在 initial 块中，首先对输入信号进行初始化。然后等待 100 ns，等待全局...

import pandas as pd import numpy as np import matplotlib.pyplot as plt import jieba import requests import re from io import BytesIO import imageio # 设置城市和时间 city = '上海' year = 2021 quarter = 2 # 爬取数据 url = f'http://tianqi.2345.com/t/wea_history/js/{city}/{year}/{quarter}.js' response = requests.get(url) text = response.content.decode('gbk') # 正则表达式匹配 pattern = re.compile(r'(\d{4}-\d{2}-\d{2})\|(\d{1,2})\|(\d{1,2})\|(\d{1,3})\|(\d{1,3})\|(\D+)\n') result = pattern.findall(text) # 数据整理 data = pd.DataFrame(result, columns=['日期', '最高温度', '最低温度', '空气质量指数', '风力等级', '天气']) data[['最高温度', '最低温度', '空气质量指数', '风力等级']] = data[['最高温度', '最低温度', '空气质量指数', '风力等级']].astype(int) data['日期'] = pd.to_datetime(data['日期']) # 可视化分析 # 统计天气情况 weather_count = data['天气'].value_counts() weather_count = weather_count[:10] # 分词统计 seg_list = jieba.cut(' '.join(data['天气'].tolist())) words = {} for word in seg_list: if len(word) < 2: continue if word in words: words[word] += 1 else: words[word] = 1 # 绘制柱状图和词云图 plt.figure(figsize=(10, 5)) plt.bar(weather_count.index, weather_count.values) plt.title(f'{city}{year}年第{quarter}季度天气情况') plt.xlabel('天气') plt.ylabel('次数') plt.savefig('weather_bar.png') wordcloud = pd.DataFrame(list(words.items()), columns=['word', 'count']) mask_image = imageio.imread('cloud_mask.png') wordcloud.plot(kind='scatter', x='count', y='count', alpha=0.5, s=300, cmap='Reds', figsize=(10, 5)) for i in range(len(wordcloud)): plt.text(wordcloud.iloc[i]['count'], wordcloud.iloc[i]['count'], wordcloud.iloc[i]['word'], ha='center', va='center', fontproperties='SimHei') plt.axis('off') plt.imshow(mask_image, cmap=plt.cm.gray, interpolation='bilinear') plt.savefig('weather_wordcloud.png')这个python代码有错误，请改正以使该代码运行成功

if len(word) < 2: continue if word in words: words[word] += 1 else: words[word] = 1 # 绘制柱状图和词云图 plt.figure(figsize=(10, 5)) plt.bar(weather_count.index, weather_count.values) plt.title...

import scrapy class WeatherSpider(scrapy.Spider): name = 'weather' allowed_domains = ['tianqi.com'] start_urls = ['https://tianqi.com/'] def parse(self, response): city = input("请输入您要查询的城市：") url = f'https://tianqi.com/{city}/' yield scrapy.Request(url, callback=self.parse_weather) def parse_weather(self, response): date = response.xpath('//div[@class="day7"]//li//h1/text()') weather = response.xpath('//div[@class="day7"]//li//p[@class="wea"]/@title') temperature = response.xpath('//div[@class="day7"]//li//p[@class="tem"]//span/text()') wind = response.xpath('//div[@class="day7"]//li//p[@class="win"]//span/@title') with open('weather.txt', 'w', encoding='utf-8') as f: for i in range(len(date)): f.write(f'{date[i].extract()} {weather[i].extract()} {temperature[i].extract()} {wind[i].extract()}\n')

感谢您提供的代码。这是一个爬取天气信息的爬虫程序，但是它确实没有在代码中指定城市名称。我建议您将该程序中的 city 变量的默认值设置为您想要的城市名称，例如： city = "北京" ...

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redis是一个key-value存储系统。和Memcached类似，它支持存储的value类型相对更多，包括string(字符串)、list(链表)、set(集合)、zset(sortedset --有序集合)和hash（哈希类型）。这些数据类型都支持push/pop、add/remove及取交集并集和差集及更丰富的操作，而且这些操作都是原子性的。在此基础上，redis支持各种不同方式的排序。与memcached一样，为了保证效率，数据都是缓存在内存中。区别的是redis会周期性的把更新的数据写入磁盘或者把修改操作写入追加的记录文件，并且在此基础上实现了master-slave(主从)同步。感兴趣的朋友可以过来看看

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