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python爬取詹姆斯职业生涯数据并生成图标展示

从网页获取数据
使用plt生成柱状图

import requests
from fake_useragent import UserAgent
from lxml import html
import matplotlib.pyplot as plt
import numpy as np


def get_data():
    url = 'http://www.stat-nba.com/player/1862.html'
    response = requests.get(url, headers={'User-Agent': UserAgent().random})
    etree = html.etree
    e = etree.HTML(response.text)
    scores = e.xpath('//table[@id="stat_box_avg"]//tr//td[24]/text()')
    backboards = e.xpath('//table[@id="stat_box_avg"]//tr//td[16]/text()')
    assists = e.xpath('//table[@id="stat_box_avg"]//tr//td[19]/text()')
    times = e.xpath('//*[@id="stat_box_avg"]/tbody/tr/td[2]/a/text()')

    del (scores[-1])
    del (backboards[-1])
    del (assists[-1])

    for i in range(0, 17):
        scores[i] = float(scores[i])
        backboards[i] = float(backboards[i])
        assists[i] = float(assists[i])

    scores.reverse()
    backboards.reverse()
    scores.reverse()
    assists.reverse()
    times.reverse()
    return scores, backboards, assists, times


def create_chart(scores, backboards, assists, times):
    print(scores)
    year = 17
    total_width = 0.9
    n = 3
    width = total_width / n
    x = np.arange(year)
    x = x - (total_width - width) / 2

    # 用来正常显示中文标签
    plt.rcParams['font.sans-serif'] = ['SimHei', 'Times New Roman']

    plt.bar(x, backboards, width=width, label="篮板")
    plt.bar(x + width, assists, width=width, label="助攻")
    plt.bar(x + 2 * width, scores, width=width, label="得分")
    print(x + 2 * width)
    print(scores)
    print(type(x + 2 * width))
    print(type(scores))
    # 设置横坐标
    plt.xticks(x + width, times, rotation=50)
    # 显示图注
    plt.legend()
    # 设置标题
    plt.title('勒布朗·詹姆斯所有赛季数据对比')

    # 设置y轴区间
    # plt.ylim(0, 35)

    # 设置y轴文字
    # plt.set_ylabel("数据")

    # 显示图表
    plt.show()


def main():
    scores, backboards, assists, times = get_data()
    create_chart(scores, backboards, assists, times)


if __name__ == '__main__':
    main()

效果图

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