14 sports

Author: crossin2

sports/readme.md

@@ -0,0 +1,22 @@
+## 全运会历届金牌数可视化
+
+一个简单的数据采集+可视化案例
+
+需安装库：
+
+pandas
+
+matplotlib
+
+pyecharts
+
+相关文章：[【可视化】看！全运会历届金牌榜](https://mp.weixin.qq.com/s/FVq0AD60BIWDCX5pviGczA)
+
+------
+
+更多实用有趣的例程
+
+欢迎关注公众号“**Crossin的编程教室**”及同名 [知乎专栏](https://zhuanlan.zhihu.com/crossin)
+
+![crossincode](../crossin-logo.png)
+

sports/sports.ipynb

@@ -121,7 +121,7 @@
     "\n",
     "plt.rcParams['figure.figsize'] = (16, 12)\n",
     "# 中文乱码问题（自行下载）\n",
-    "font = mpl.font_manager.FontProperties(fname='../simhei.ttf', size=15)\n",
+    "font = mpl.font_manager.FontProperties(fname='../zhaozi.ttf', size=15)\n",
     "\n",
     "for team in gold:\n",
     "    plt.plot(gold[team], linewidth=4, label=team)\n",

sports/sports.py

@@ -63,7 +63,7 @@
 
 plt.rcParams['figure.figsize'] = (16, 12)
 # 中文乱码问题（自行下载）
-font = mpl.font_manager.FontProperties(fname='../simhei.ttf', size=15)
+font = mpl.font_manager.FontProperties(fname='../zhaozi.ttf', size=15)
 
 for team in gold:
     plt.plot(gold[team], linewidth=4, label=team)