python爬取京东网页并用pyecharts分析数据

好的，以下是我提供的一些爬取京东网页并用pyecharts分析数据的步骤：

1. 导入所需的库

import requests
from pyquery import PyQuery as pq
from pyecharts import options as opts
from pyecharts.charts import Bar

2. 定义爬取函数并解析数据

def get_jd_info(keyword):
    url = 'https://search.jd.com/Search?keyword={}&enc=utf-8'.format(keyword)
    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
    r = requests.get(url, headers=headers)
    html = r.text
    doc = pq(html)
    items = doc('.gl-item').items()
    data = []
    for item in items:
        title = item.find('.p-name em').text().replace('\n','')
        price = item.find('.p-price i').text()
        data.append({'title':title, 'price':price})
    return data

3. 调用函数并将数据可视化

keyword = '手机'
data = get_jd_info(keyword)
prices = [float(item['price']) for item in data]
titles = [item['title'] for item in data]

# 使用pyecharts绘制柱状图
bar = (
    Bar()
    .add_xaxis(titles)
    .add_yaxis("价格", prices)
    .set_global_opts(title_opts=opts.TitleOpts(title="{}价格分布".format(keyword)))
)
bar.render("{}.html".format(keyword))

以上是一个简单的例子，你可以根据自己的需求对代码进行修改和优化。