It facilitates a wide range of animated plots including bar charts, line charts, pie charts, bubble charts, and geospatial charts. It also has the ability to animate multiple, related charts at once, which is an extremely nice feature and can be used to create animated dashboards.
What's the difference between this Python project and similar ones?
Built upon matplotlib (as opposed to libraries like Plotly)
A very shallow learning curve for people new to python
It doesn't feature interactive controls but this helps make it simple
Arbitrary subplots are possible, as opposed to Plotly where subplots are only possible by faceting a data dimension
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1627
**Author:** [@venaturum](https://github.com/venaturum)
**Created:** 9/28/2020
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`2067077`](https://github.com/vinta/awesome-python/commit/20670777090cc8ea128a7009979b359302de5f25) Added Pandas_Alive to Data Visualisation
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
[Pandas_Alive](https://github.com/JackMcKew/pandas_alive) is intended to provide a plotting backend for animated matplotlib charts for Pandas DataFrames, similar to the already [existing Visualization feature of Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html).
It facilitates a wide range of animated plots including bar charts, line charts, pie charts, bubble charts, and geospatial charts. It also has the ability to animate multiple, related charts at once, which is an extremely nice feature and can be used to create animated dashboards.
## What's the difference between this Python project and similar ones?
* Built upon matplotlib (as opposed to libraries like Plotly)
* Monkey patches functionality onto Pandas dataframe to mimic existing static charting functionality
* A very shallow learning curve for people new to python
* It doesn't feature interactive controls but this helps make it simple
* Arbitrary subplots are possible, as opposed to Plotly where subplots are only possible by faceting a data dimension
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1627
Author: @venaturum
Created: 9/28/2020
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
2067077Added Pandas_Alive to Data Visualisation📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
Pandas_Alive is intended to provide a plotting backend for animated matplotlib charts for Pandas DataFrames, similar to the already existing Visualization feature of Pandas.
It facilitates a wide range of animated plots including bar charts, line charts, pie charts, bubble charts, and geospatial charts. It also has the ability to animate multiple, related charts at once, which is an extremely nice feature and can be used to create animated dashboards.
What's the difference between this Python project and similar ones?
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.