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dash-table

(★ 421)

OBSOLETE: now part of https://github.com/plotly/dash

파일 탐색기

최종 버전 다운로드 (.zip)

- CODEOWNERS
- FUNDING.yml
- ISSUE_TEMPLATE.md
- SUPPORT.md
- __init__.py
- Format.py
- FormatTemplate.py
- DashTable.jl
.gitignore
CHANGELOG.md
CODE_OF_CONDUCT.md
CONTRIBUTING.md
LICENSE
MANIFEST.in
Project.toml
README.md
setup.py

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/plotly/dash-table

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd dash-table

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. 공식 설치 스크립트

쉬움 추천

사전 준비물

Python 3 pip 명령어를 쓰려면 Python이 필요합니다.

pip install dash-table

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 설치 후 새 터미널을 열고, 프로그램의 버전 확인 명령(예: --version)으로 정상 설치됐는지 확인하세요.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

3. Python

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install dash-table

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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# Notice

As of Dash 2, the development of Dash Table has been moved to the [main Dash repo](https://github.com/plotly/dash)

This package exists for backward compatibility

---

# Dash Table

An interactive `DataTable` for [Dash](https://dash.plotly.com/).

:point_right: [Documentation](https://dash.plotly.com/datatable)

## Quickstart

```
pip install dash-table
```

```python
import dash
import dash_table
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')

app = dash.Dash(__name__)

app.layout = dash_table.DataTable(
    id='table',
    columns=[{"name": i, "id": i} for i in df.columns],
    data=df.to_dict('records'),
)

if __name__ == '__main__':
    app.run_server(debug=True)
```

![Interactive Dash DataTable](https://user-images.githubusercontent.com/1280389/47935912-67187080-deb2-11e8-8936-34b0c99b518f.png)

## Background

Dash DataTable is an interactive table component designed for viewing, editing, and exploring large datasets.

DataTable is rendered with standard, semantic HTML `<table/>` markup, which makes it accessible, responsive, and easy to style.

This component was written from scratch in React.js and Typescript specifically for the Dash community. Its API was designed to be ergonomic and its behavior is completely customizable through its properties.

DataTable was designed with a featureset that allows that Dash users to create complex, spreadsheet driven applications with no compromises. We're excited to continue to work with users and companies that [invest in DataTable's future](https://plotly.com/products/consulting-and-oem/).

Please subscribe to [dash-table#207](https://github.com/plotly/dash-table/issues/207) and the [CHANGELOG.md](https://github.com/plotly/dash-table/blob/master/CHANGELOG.md) to stay up-to-date with any breaking changes. Note: DataTable is currently supported in Chrome, Firefox, Safari, Edge (version 15+), and Internet Explorer 11.

Share your DataTable Dash apps on the [community forum](https://community.plotly.com/t/show-and-tell-community-thread/7554)!

## Contributing

See [CONTRIBUTING.md](https://github.com/plotly/dash-table/blob/master/CONTRIBUTING.md)