d3plus


Named3plus JSON
Version 0.1.0 PyPI version JSON
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home_pagehttps://github.com/erdogant/d3plus
SummaryPython package d3plus
upload_time2023-08-13 08:01:25
maintainer
docs_urlNone
authorErdogan Taskesen
requires_python>=3
license
keywords
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bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # d3plus

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* ``d3plus`` is Python package

# 
**Star this repo if you like it! ⭐️**
#


## Blog/Documentation

* [**d3plus documentation pages (Sphinx)**](https://erdogant.github.io/d3plus/)
* [**Notebook with examples**](https://colab.research.google.com/github/erdogant/d3plus/blob/master/notebooks/d3plus.ipynb)
* [**Read more details and usage about d3plus in this blog!**](https://towardsdatascience.com/d3plus)

* <a href="https://erdogant.github.io/d3plus/"> <img src="https://img.shields.io/badge/Sphinx-Docs-Green" alt="Open documentation pages"/> </a> d3plus documentation pages 
* <a href="https://colab.research.google.com/github/erdogant/d3plus/blob/master/notebooks/d3plus.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open example In Colab"/> </a> Notebook example 
* <a href="https://towardsdatascience.com/a-step-by-step-guide-for-clustering-images-4b45f9906128"> <img src="https://img.shields.io/badge/Medium-Blog-blue" alt="Open Blog"/> </a> Blog: A step-by-step guide for clustering images 


### Contents
- [Installation](#-installation)
- [Contribute](#-contribute)
- [Citation](#-citation)
- [Maintainers](#-maintainers)
- [License](#-copyright)

### Installation
* Install d3plus from PyPI (recommended). d3plus is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows. 
* A new environment can be created as following:

```bash
conda create -n env_d3plus python=3.8
conda activate env_d3plus
```

```bash
pip install d3plus            # normal install
pip install --upgrade d3plus # or update if needed
```

* Alternatively, you can install from the GitHub source:
```bash
# Directly install from github source
pip install -e git://github.com/erdogant/d3plus.git@0.1.0#egg=master
pip install git+https://github.com/erdogant/d3plus#egg=master
pip install git+https://github.com/erdogant/d3plus

# By cloning
git clone https://github.com/erdogant/d3plus.git
cd d3plus
pip install -U .
```  

#### Import d3plus package
```python
import d3plus as d3plus
```

#### Example:
```python
df = pd.read_csv('https://github.com/erdogant/hnet/blob/master/d3plus/data/example_data.csv')
model = d3plus.fit(df)
G = d3plus.plot(model)
```
<p align="center">
  <img src="https://github.com/erdogant/d3plus/blob/master/docs/figs/fig1.png" width="600" />
  
</p>


#### References
* https://github.com/erdogant/d3plus

#### Citation
Please cite in your publications if this is useful for your research (see citation).
   
### Maintainers
* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)

### Contribute
* All kinds of contributions are welcome!
* If you wish to buy me a <a href="https://www.buymeacoffee.com/erdogant">Coffee</a> for this work, it is very appreciated :)

### Licence
See [LICENSE](LICENSE) for details.

            

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\u2b50\ufe0f**\r\n#\r\n\r\n\r\n## Blog/Documentation\r\n\r\n* [**d3plus documentation pages (Sphinx)**](https://erdogant.github.io/d3plus/)\r\n* [**Notebook with examples**](https://colab.research.google.com/github/erdogant/d3plus/blob/master/notebooks/d3plus.ipynb)\r\n* [**Read more details and usage about d3plus in this blog!**](https://towardsdatascience.com/d3plus)\r\n\r\n* <a href=\"https://erdogant.github.io/d3plus/\"> <img src=\"https://img.shields.io/badge/Sphinx-Docs-Green\" alt=\"Open documentation pages\"/> </a> d3plus documentation pages \r\n* <a href=\"https://colab.research.google.com/github/erdogant/d3plus/blob/master/notebooks/d3plus.ipynb\"> <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open example In Colab\"/> </a> Notebook example \r\n* <a href=\"https://towardsdatascience.com/a-step-by-step-guide-for-clustering-images-4b45f9906128\"> <img src=\"https://img.shields.io/badge/Medium-Blog-blue\" alt=\"Open Blog\"/> </a> Blog: A step-by-step guide for clustering images \r\n\r\n\r\n### Contents\r\n- [Installation](#-installation)\r\n- [Contribute](#-contribute)\r\n- [Citation](#-citation)\r\n- [Maintainers](#-maintainers)\r\n- [License](#-copyright)\r\n\r\n### Installation\r\n* Install d3plus from PyPI (recommended). d3plus is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows. \r\n* A new environment can be created as following:\r\n\r\n```bash\r\nconda create -n env_d3plus python=3.8\r\nconda activate env_d3plus\r\n```\r\n\r\n```bash\r\npip install d3plus            # normal install\r\npip install --upgrade d3plus # or update if needed\r\n```\r\n\r\n* Alternatively, you can install from the GitHub source:\r\n```bash\r\n# Directly install from github source\r\npip install -e git://github.com/erdogant/d3plus.git@0.1.0#egg=master\r\npip install git+https://github.com/erdogant/d3plus#egg=master\r\npip install git+https://github.com/erdogant/d3plus\r\n\r\n# By cloning\r\ngit clone https://github.com/erdogant/d3plus.git\r\ncd d3plus\r\npip install -U .\r\n```  \r\n\r\n#### Import d3plus package\r\n```python\r\nimport d3plus as d3plus\r\n```\r\n\r\n#### Example:\r\n```python\r\ndf = pd.read_csv('https://github.com/erdogant/hnet/blob/master/d3plus/data/example_data.csv')\r\nmodel = d3plus.fit(df)\r\nG = d3plus.plot(model)\r\n```\r\n<p align=\"center\">\r\n  <img src=\"https://github.com/erdogant/d3plus/blob/master/docs/figs/fig1.png\" width=\"600\" />\r\n  \r\n</p>\r\n\r\n\r\n#### References\r\n* https://github.com/erdogant/d3plus\r\n\r\n#### Citation\r\nPlease cite in your publications if this is useful for your research (see citation).\r\n   \r\n### Maintainers\r\n* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)\r\n\r\n### Contribute\r\n* All kinds of contributions are welcome!\r\n* If you wish to buy me a <a href=\"https://www.buymeacoffee.com/erdogant\">Coffee</a> for this work, it is very appreciated :)\r\n\r\n### Licence\r\nSee [LICENSE](LICENSE) for details.\r\n",
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