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数据可视化

本代码是Gitchat上发布的《案例上手Python数据可视化》教程的源码。

目录:

0. 必须要了解的

  • 0.0 序
  • 0.1 数据科学工作流程
  • 0.2 数据可视化:大脑喜欢直观
  • 0.3 本课程的前置技能

1. 开山鼻祖:Matplotlib

  • 1.1 体验Matplotlib
  • 1.2 认识坐标轴
  • 1.3 分区和绘图
  • 1.4 多样化的图像
  • 1.5 柱形图和条形图
  • 1.6 箱线图、饼图和直方图

2. 后起之秀:Seaborn

  • 2.1 优秀初体验
  • 2.2 分类特征统计图
  • 2.3 关系统计图和回归统计图
  • 2.4 数据分布统计图和热图
  • 2.5 实战练习

3. 另立门派:Plotnine

  • 3.1 绘图新概念
  • 3.2 几何对象和美学映射
  • 3.3 案例剖析

4. 特立独行:Plotly

  • 4.1 独特之处
  • 4.2 常规统计图(1)
  • 4.3 常规统计图(2)
  • 4.4 高级制图案例剖析

5. 中华武功:Pyecharts

  • 5.1 登台亮相
  • 5.2 地理信息可视化

6. 岛国薄纱:Bokeh

  • 6.1 精彩一瞥
  • 6.2 常用图形
  • 6.2 重在交互

相关读物:

  • 《跟老齐学Python:轻松入门》
  • 《跟老齐学Python:数据分析》
  • 网站:www.itdiffer.com

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