可视化需要用的的库：
from pyecharts.charts import Bar from pyecharts import options as opts
可视化的核心代码：
# 原有的这 个方式无效了 # chart = Bar({"中国天气最低气温排行榜"}) # chart.add('',cities,temps) # chart.render('temperature.html') chart = Bar() chart.add_xaxis(cities) chart.add_yaxis("城市",temps) chart.set_global_opts(title_opts=opts.TitleOpts(title="中国天气最低气温排行榜")) chart.render('temperature.html')
#encoding: utf-8 import requests from bs4 import BeautifulSoup from pyecharts.charts import Bar from pyecharts import options as opts ''' pyecharts 用来画图表的，bar:柱状图 ''' ALL_DATA = [] def parse_page(url): headers = { 'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/537.36" } response = requests.get(url,headers=headers) text = response.content.decode('utf-8') # html5lib # pip install html5lib soup = BeautifulSoup(text,'html5lib') conMidtab = soup.find('div',class_='conMidtab') tables = conMidtab.find_all('table') for table in tables: trs = table.find_all('tr')[2:] for index,tr in enumerate(trs): tds = tr.find_all('td') city_td = tds[0] if index == 0: city_td = tds[1] city = list(city_td.stripped_strings)[0] temp_td = tds[-2] min_temp = list(temp_td.stripped_strings)[0] ALL_DATA.append({"city":city,"min_temp":int(min_temp)}) print({"city":city,"min_temp":int(min_temp)}) def main(): urls = [ 'http://www.weather.com.cn/textFC/hb.shtml', 'http://www.weather.com.cn/textFC/db.shtml', 'http://www.weather.com.cn/textFC/hd.shtml', 'http://www.weather.com.cn/textFC/hz.shtml', 'http://www.weather.com.cn/textFC/hn.shtml', 'http://www.weather.com.cn/textFC/xb.shtml', 'http://www.weather.com.cn/textFC/xn.shtml', 'http://www.weather.com.cn/textFC/gat.shtml' ] for url in urls: parse_page(url) # 分析数据 # 根据最低气温进行排序 ALL_DATA.sort(key=lambda data:data['min_temp']) data = ALL_DATA[0:10] cities = list(map(lambda x:x['city'],data)) temps = list(map(lambda x:x['min_temp'],data)) # pyecharts # pip install pyecharts # 原有的这 个方式无效了 # chart = Bar({"中国天气最低气温排行榜"}) # chart.add('',cities,temps) # chart.render('temperature.html') chart = Bar() chart.add_xaxis(cities) chart.add_yaxis("城市",temps) chart.set_global_opts(title_opts=opts.TitleOpts(title="中国天气最低气温排行榜")) chart.render('temperature.html') if __name__ == '__main__': main() # ALL_DATA = [ # {"city": "北京", 'min_temp': 0}, # {"city": "天津", 'min_temp': -8}, # {"city": "石家庄", 'min_temp': -10} # ] # # ALL_DATA.sort(key=lambda data:data['min_temp']) # print(ALL_DATA)
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Awesome-pyecharts</title>
<script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script>
</head>
<body>
<div id="8d8789eafca0473299441d8a914fe0d0" class="chart-container" style="900px; height:500px;"></div>
<script>
var chart_8d8789eafca0473299441d8a914fe0d0 = echarts.init(
document.getElementById('8d8789eafca0473299441d8a914fe0d0'), 'white', {renderer: 'canvas'});
var option_8d8789eafca0473299441d8a914fe0d0 = {
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"animationEasingUpdate": "cubicOut",
"animationDelayUpdate": 0,
"color": [
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],
"series": [
{
"type": "bar",
"name": "u57ceu5e02",
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"barCategoryGap": "20%",
"label": {
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"position": "top",
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}
}
],
"legend": [
{
"data": [
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"selected": {
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"show": true
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"tooltip": {
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"trigger": "item",
"triggerOn": "mousemove|click",
"axisPointer": {
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},
"textStyle": {
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"title": [
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chart_8d8789eafca0473299441d8a914fe0d0.setOption(option_8d8789eafca0473299441d8a914fe0d0);
</script>
</body>
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