Python爬取王者荣耀英雄能力数据，雷达图显示数据

<span><a href="https://www.gaodaima.com/tag/import" title="查看更多关于import的文章" target="_blank">import</a></span><span> math
</span><span>import</span><span> numpy as np
</span><span>import</span><span> matplotlib.pyplot as plt
</span><span>import</span> matplotlib.colors as mcolors

<span>#</span><span> 导入中文</span>
<span>import</span><span> matplotlib.font_manager as font_manager

font_dirs </span>= [<span>"</span><span>./font</span><span>"</span><span>]
font_files </span>= font_manager.findSystemFonts(fontpaths=<span>font_dirs)
font_list </span>=<span> font_manager.createFontList(font_files)
font_manager.fontManager.ttflist.extend(font_list)
plt.rcParams[</span><span>"</span><span>font.family</span><span>"</span>] = <span>"</span><span>SimHei</span><span>"</span>

<span>#</span><span> 启用主题</span>
plt.style.use(<span>"</span><span>ggplot</span><span>"</span>)

<span>#</span><span> 获取极径范围</span>
<span>def</span><span> get_range(data_list):
    max </span>= min =<span> 0
    </span><span>for</span> _, data <span>in</span><span> data_list.items():
        </span><span>for</span> v <span>in</span><span> data:
            </span><span>if</span> v <<span> min:
                min </span>=<span> v
            </span><span>if</span> v ><span> max:
                max </span>=<span> v
    </span><span>return</span> [min, max]

<span>#</span><span> 生成能力分布图</span>
<span>def</span> generate_ability_map(abilities, data_list, rows=3<span>):
    min, max </span>=<span> get_range(data_list)
    </span><span>#</span><span> 根据能力项等分圆</span>
    angles = np.linspace(0, 2 * np.pi, len(abilities), endpoint=<span>False)
    angles </span>=<span> np.append(angles, angles[0])
    </span><span>#</span><span> 生成n个子图</span>
    fg, axes = plt.subplots(math.ceil(len(data_list) / rows), rows, subplot_kw=dict(polar=True),figsize=(9,9<span>))
    </span><span>#</span><span> 调整子图间距</span>
    plt.subplots_adjust(wspace =0.6, hspace =0.6<span>)
    </span><span>#</span><span> 打散为一维数组</span>
    axes =<span> axes.ravel()
    </span><span>#</span><span> 获取所有支持的颜色</span>
    colors =<span> list(mcolors.TABLEAU_COLORS)
    </span><span>#</span><span> 循环绘制</span>
    i =<span> 0
    </span><span>for</span> name, data <span>in</span><span> data_list.items():
        data </span>=<span> np.append(np.array(data), data[0])
        ax </span>=<span> axes[i]
        </span><span>#</span><span> 绘制线条</span>
        ax.plot(angles, data, color=<span>colors[i])
        </span><span>#</span><span> 填充颜色</span>
        ax.fill(angles, data, alpha=0.7, color=<span>colors[i])
        </span><span>#</span><span> 设置角度</span>
<span>        ax.set_xticks(angles)
        </span><span>#</span><span> 设置坐标轴名称</span>
<span>        ax.set_xticklabels(abilities)
        </span><span>#</span><span> 设置名称</span>
        ax.set_title(name, size=10, color=<span>"</span><span>black</span><span>"</span>, position=(0.5, 0.4<span>))
        </span><span>#</span><span> 设置极径最小值</span>
<span>        ax.set_rmin(min)
        </span><span>#</span><span> 设置极径最大值(最大值加0.1，要不线条最外圈线显示不完全)</span>
        ax.set_rmax(max + 0.1<span>)
        i </span>= i + 1<span>
    plt.show()</span>

<span>#</span><span>数据</span>
abilities = [<span>"</span><span>灵活性</span><span>"</span>, <span>"</span><span>功能性</span><span>"</span>, <span>"</span><span>平稳性</span><span>"</span>, <span>"</span><span>安全性</span><span>"</span>, <span>"</span><span>耐用性</span><span>"</span>, <span>"</span><span>经济性</span><span>"</span><span>]
super_heros </span>=<span> {
    </span><span>"</span><span>固定点降落</span><span>"</span>: [2,1,5,5,4,3<span>],
    </span><span>"</span><span>任意点降落</span><span>"</span>: [5,5,2,3,3,4<span>],
    </span><span>"</span><span>局部最优点降落</span><span>"</span>: [4,5,4,4,3,4<span>],
}

</span><span>#</span><span>画图</span>
generate_ability_map(abilities, super_heros)