Skip to content
This repository has been archived by the owner on Feb 17, 2024. It is now read-only.

制作 20 种数据可视化 #3

Closed
23 of 34 tasks
kxxt opened this issue Jan 16, 2022 · 5 comments
Closed
23 of 34 tasks

制作 20 种数据可视化 #3

kxxt opened this issue Jan 16, 2022 · 5 comments
Labels
feature

Comments

@kxxt
Copy link
Contributor

kxxt commented Jan 16, 2022 •
edited
Loading

登录注册 JupyterHub, 进行 20 种数据的可视化

邀请码是 YouCanNeverGuessHAHAHAhaha!

网址：https://hub.kxxt.tech/jupyter/

  • 每一种可视化单独一个文件
  • 文件以可视化的方式命名（比如”饼图“）
  • 放在 team-shared/20种可视化 文件夹里即可
  • 然后录个视频讲讲就行了
  • 可以先看看 数据库连接教程.ipynb 和 自动加载的内容.ipynb
  • 这大作业难道还要留着过年吗 😅

附：PyECharts 图表类型

  • BMap
  • Bar
  • Bar3D
  • Boxplot
  • Calendar (Month)
  • Calendar
  • Candlestick
  • EffectScatter
  • Funnel
  • Gauge
  • Geo
  • Graph
  • HeatMap
  • Kline
  • Line
  • Line3D
  • Liquid
  • Map
  • Map3D
  • MapGlobe
  • Parallel
  • PictorialBar
  • Pie
  • Polar
  • Radar
  • Sankey
  • Scatter
  • Scatter3D
  • Sunburst
  • Surface3D
  • Tree
  • TreeMap
  • WordCloud
  • ThemeRiver
@kxxt kxxt added the feature label Jan 16, 2022
@kxxt
Copy link
Contributor Author

kxxt commented Jan 16, 2022

@lie-flat/lie-flat-dev

@kxxt kxxt pinned this issue Jan 16, 2022
@Krina-w
Copy link
Contributor

Krina-w commented Jan 17, 2022

老师说的“抽取数据可视化”的意思是什么？即写出通用型可视化方法吗，还是我们挑几个列进行可视化？

@kxxt
Copy link
Contributor Author

kxxt commented Jan 17, 2022 via email

@kxxt
Copy link
Contributor Author

kxxt commented Jan 17, 2022 via email

@kxxt
Copy link
Contributor Author

kxxt commented Jan 29, 2022

Finished.

@kxxt kxxt closed this as completed Jan 29, 2022
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Assignees
No one assigned
Labels
feature
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@kxxt @Krina-w