The Plotly Python library (plotly.py) is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.
Built on top of the Plotly JavaScript library (plotly.js), plotly.py enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.
What's the difference between this Python project and similar ones?
When thinking about plotting libraries, there are a few things we want:
One-line charts for rapid exploration
Interactive elements for subsetting/investigating data
Option to dig into details as needed
Easy customization for the final presentation.
As of right now, the best option for doing all of these in Python is Plotly. Plotly allows us to make visualizations quickly and helps us get a better insight into our data through interactivity. With other libraries, plotting turned into a tedious task, but with Plotly, there is joy in making a great figure!
--
Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.
🔄 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/1388
**Author:** [@heromayank2](https://github.com/heromayank2)
**Created:** 10/11/2019
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`233d84d`](https://github.com/vinta/awesome-python/commit/233d84d0f82c02d2b17c766260dd9aaf2d623c6a) Add Plotly in Data Visualization
### 📊 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?
The Plotly Python library (plotly.py) is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.
Built on top of the Plotly JavaScript library (plotly.js), plotly.py enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.
## What's the difference between this Python project and similar ones?
When thinking about plotting libraries, there are a few things we want:
1. One-line charts for rapid exploration
2. Interactive elements for subsetting/investigating data
3. Option to dig into details as needed
4. Easy customization for the final presentation.
As of right now, the best option for doing all of these in Python is Plotly. Plotly allows us to make visualizations quickly and helps us get a better insight into our data through interactivity. With other libraries, plotting turned into a tedious task, but with Plotly, there is joy in making a great figure!
--
Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**.
---
<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/1388
Author: @heromayank2
Created: 10/11/2019
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
233d84dAdd Plotly in Data Visualization📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
The Plotly Python library (plotly.py) is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.
Built on top of the Plotly JavaScript library (plotly.js), plotly.py enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.
What's the difference between this Python project and similar ones?
When thinking about plotting libraries, there are a few things we want:
As of right now, the best option for doing all of these in Python is Plotly. Plotly allows us to make visualizations quickly and helps us get a better insight into our data through interactivity. With other libraries, plotting turned into a tedious task, but with Plotly, there is joy in making a great figure!
--
Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.