Kobe Bryant数据显示（2018-03-15）

做bryant数据可视化之前需要先爬取数据（代码↓）
数据来自http://www.stat-nba.com/（NBA数据库）
（小白初学python）

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
import time
import re
import csv
import random

def get_html(url_toget):
    header = {
        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
        'Accept-Encoding': 'gzip, deflate, sdch',
        'Accept-Language': 'zh-CN,zh;q=0.8',
        'Connection': 'keep-alive',
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.235'
    }
    timeout = random.choice(range(80, 100))
    try:
        page = requests.get(url_toget, headers=header, timeout=timeout)
        page.encoding = 'utf-8'
    except:
        print('error')

    page_inner = page.text
    return page_inner

def get_data(i,page_text):
    bryant = []
    soup = BeautifulSoup(page_text, 'lxml')
    body = soup.body
    page = body.find("div", {"id": "page"})
    tbody = page.find('tbody')
    trs = tbody.find_all('tr')
    for tr in trs:
        tds = tr.find_all('td')
        saiji = '%s-%s'%(i,i+1)
        bryant.append(saiji)
        for td in tds:
            bryant.append(td.string)
        with open("bryant_data.csv", 'a', errors='ignore', newline='') as f:
            f_csv = csv.writer(f)
            f_csv.writerow(bryant)
            bryant = []
    print('bryant%s-%s赛季的数据已加载完毕......' % (i,i+1))

if __name__ == '__main__':
    tou = ['','','球员','赛季','结果','比赛','首发','时间','投篮','命中','出手',
           '三分','命中','出手','罚球命中率','罚球命中','罚球出手数',
           '总篮板','前场篮板','后场篮板','助攻','抢断','盖帽','失误','犯规','得分']
    with open("bryant_data.csv", 'a', errors='ignore', newline='') as f:
        f_csv = csv.writer(f)
        f_csv.writerow(tou)

    for j in range(1996,2016):#2016
        kobe_url = 'http://www.stat-nba.com/query.php?crtcol=season&&PageNum=200&' \
                   'order=0&QueryType=game&GameType=season&Player_id=195&Season0=%s&Season1=%s&Team_id=LAL' % (j, j + 1)
        w = get_html(kobe_url)
        get_data(j,w)
    print('全部数据已加载完毕')

导出数据（csv格式）用excel查看：

捕获.PNG

然后做数据可视化处理

from pyecharts import Bar
import csv

score = []  #存储科比96-16赛季的所有得分
time_saiji = []#存储时间线
with open("bryant_data.csv", "r") as f:
    reader = csv.reader(f)
    rows = [row for row in reader]
    for i in rows:
        score.append(i[25])
        time_saiji.append(i[0])
    score.pop(0)#删掉第一个元素（表头）
    time_saiji.pop(0)

bar = Bar('Kobe Bryant data','(score)')
bar.add('score',time_saiji,score,mark_line=['average'],mark_point=["max", "min"])
bar.render()

结果显示：

Kobe Bryant data.png