Python爬取股票資訊，並可視化資料的示例
阿新 • • 發佈：2020-09-28
前言
截止2019年年底我國股票投資者數量為15975.24萬戶,如此多的股民熱衷於炒股,首先拋開炒股技術不說,那麼多股票資料是不是非常難找,找到之後是不是看著密密麻麻的資料是不是頭都大了?
今天帶大家爬取雪球平臺的股票資料,並且實現資料視覺化
先看下效果圖
基本環境配置
- python 3.6
- pycharm
- requests
- csv
- time
目標地址
https://xueqiu.com/hq
爬蟲程式碼
請求網頁
import requests url = 'https://xueqiu.com/service/v5/stock/screener/quote/list' response = requests.get(url=url,params=params,headers=headers,cookies=cookies) html_data = response.json()
解析資料
data_list = html_data['data']['list']
for i in data_list:
dit = {}
dit['股票程式碼'] = i['symbol']
dit['股票名字'] = i['name']
dit['當前價'] = i['current']
dit['漲跌額'] = i['chg']
dit['漲跌幅/%'] = i['percent']
dit['年初至今/%'] = i['current_year_percent']
dit['成交量'] = i['volume']
dit['成交額'] = i['amount']
dit['換手率/%'] = i['turnover_rate']
dit['市盈率TTM'] = i['pe_ttm']
dit['股息率/%'] = i['dividend_yield']
dit['市值'] = i['market_capital']
print(dit)儲存資料
import csv
f = open('股票資料.csv',mode='a',encoding='utf-8-sig',newline='')
csv_writer = csv.DictWriter(f,fieldnames=['股票程式碼','股票名字','當前價','漲跌額','漲跌幅/%','年初至今/%','成交量','成交額','換手率/%','市盈率TTM','股息率/%','市值'])
csv_writer.writeheader()
csv_writer.writerow(dit)
f.close()
完整程式碼
import pprint
import requests
import time
import csv
f = open('股票資料.csv','股票名稱','市值'])
csv_writer.writeheader()
for page in range(1,53):
time.sleep(1)
url = 'https://xueqiu.com/service/v5/stock/screener/quote/list'
date = round(time.time()*1000)
params = {
'page': '{}'.format(page),'size': '30','order': 'desc','order_by': 'amount','exchange': 'CN','market': 'CN','type': 'sha','_': '{}'.format(date),}
cookies = {
'Cookie': 'acw_tc=2760824216007592794858354eb971860e97492387fac450a734dbb6e89afb; xq_a_token=636e3a77b735ce64db9da253b75cbf49b2518316; xqat=636e3a77b735ce64db9da253b75cbf49b2518316; xq_r_token=91c25a6a9038fa2532dd45b2dd9b573a35e28cfd; xq_id_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJ1aWQiOi0xLCJpc3MiOiJ1YyIsImV4cCI6MTYwMjY0MzAyMCwiY3RtIjoxNjAwNzU5MjY3OTEwLCJjaWQiOiJkOWQwbjRBWnVwIn0.bengzIpmr0io9f44NJdHuc_6g9EIjtrSlMgnqwKSWVzI4syI_yIH1F-GJfK4bTelWzDirufjWMW9DfDMyMkI75TpJqiwIq8PRsa1bQ7IuCXLbN71ebsiTOGfA5OsWSPQOdVXQA0goqC4yvXLOk5KgC5FQIzZut0N4uaRDLsq7vhmcb8CBw504tCZnbIJTfGGIFIfw7TkwuUCXGY6Q-0mlOG8U4EUTcOCuxN87Ej_OIKnXN8cTSVh7XW6SFxOgU6p3yUXDgvS04rt-nFewpNNqfbGAKk965N-HJ9Mq8E52BRJ3rt_ndYP8yCaeQ6xSsz5P2mNlKwNFe9EQeltim_mDg; u=501600759279498; device_id=24700f9f1986800ab4fcc880530dd0ed; Hm_lvt_1db88642e346389874251b5a1eded6e3=1600759286; _ga=GA1.2.2049292015.1600759388; _gid=GA1.2.391362708.1600759388; s=du11eogy79; __utma=1.2049292015.1600759388.1600759397.1600759397.1; __utmc=1; __utmz=1.1600759397.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utmt=1; __utmb=1.3.10.1600759397; Hm_lpvt_1db88642e346389874251b5a1eded6e3=1600759448'
}
headers = {
'Host': 'xueqiu.com','Pragma': 'no-cache','Referer': 'https://xueqiu.com/hq','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML,like Gecko) Chrome/81.0.4044.138 Safari/537.36'
}
response = requests.get(url=url,cookies=cookies)
html_data = response.json()
data_list = html_data['data']['list']
for i in data_list:
dit = {}
dit['股票程式碼'] = i['symbol']
dit['股票名稱'] = i['name']
dit['當前價'] = i['current']
dit['漲跌額'] = i['chg']
dit['漲跌幅/%'] = i['percent']
dit['年初至今/%'] = i['current_year_percent']
dit['成交量'] = i['volume']
dit['成交額'] = i['amount']
dit['換手率/%'] = i['turnover_rate']
dit['市盈率TTM'] = i['pe_ttm']
dit['股息率/%'] = i['dividend_yield']
dit['市值'] = i['market_capital']
csv_writer.writerow(dit)
print(dit)
f.close()
資料分析程式碼
c = (
Bar()
.add_xaxis(list(df2['股票名稱'].values))
.add_yaxis("股票成交量情況",list(df2['成交量'].values))
.set_global_opts(
title_opts=opts.TitleOpts(title="成交量圖表 - Volume chart"),datazoom_opts=opts.DataZoomOpts(),)
.render("data.html")
)
以上就是Python爬取股票資訊，並可視化資料的示例的詳細內容，更多關於Python爬取股票資訊的資料請關注我們其它相關文章！