ipychart

Name	ipychart JSON
Version	0.5.2 JSON
	download
home_page	None
Summary	A Jupyter - Chart.js bridge enabling interactive data visualization with Python.
upload_time	2024-08-24 17:44:55
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	Copyright (c) 2020 Nicolas Houlier Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords	ipython jupyter widgets
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            <p align="center">
    <img src="./docs/docs/.vuepress/public/ipychart.png#gh-light-mode-only" width="18%">
    <img src="./docs/docs/.vuepress/public/ipychart-dark.png#gh-dark-mode-only" width="18%"><br>
    The power of Chart.js with Python
</p>

<p align="center">
    <a href="https://github.com/nicohlr/ipychart/blob/master/LICENSE">
        <img alt="GitHub" src="https://img.shields.io/github/license/nicohlr/ipychart">
    </a>
    <a href="https://pypi.org/project/ipychart/">
        <img alt="GitHub release (latest by date)" src="https://img.shields.io/github/v/release/nicohlr/ipychart">
    </a>
    <a href="https://mybinder.org/v2/gh/nicohlr/ipychart/master?labpath=examples">
        <img alt="Binder" src="https://mybinder.org/badge_logo.svg">
    </a>
    <a href="https://github.com/chartjs/awesome">
        <img alt="Awesome Chart.js" src="https://img.shields.io/static/v1?message=awesome&logo=awesome-lists&labelColor=fc60a8&color=494368&logoColor=white&label=%20">
    </a>
</p>

Installation
------------

You can install ipychart from your terminal using pip or conda:

```bash
# using pip
$ pip install ipychart

# using conda
$ conda install -c conda-forge ipychart
```

Documentation
------------

- [**Introduction**](https://nicohlr.github.io/ipychart/user_guide/introduction.html)
- [**Getting Started**](https://nicohlr.github.io/ipychart/user_guide/getting_started.html)
- [**Usage**](https://nicohlr.github.io/ipychart/user_guide/usage.html)
- [**Charts**](https://nicohlr.github.io/ipychart/user_guide/charts.html)
- [**Configuration**](https://nicohlr.github.io/ipychart/user_guide/configuration.html)
- [**Scales**](https://nicohlr.github.io/ipychart/user_guide/scales.html)
- [**Pandas Interface**](https://nicohlr.github.io/ipychart/user_guide/pandas.html)
- [**Advanced Features**](https://nicohlr.github.io/ipychart/user_guide/advanced.html)
- [**Developers**](https://nicohlr.github.io/ipychart/developer_guide/development_installation.html)

Usage
------------

Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment:

![](./docs/docs/.vuepress/public/ipychart-demo.gif)

You can also create charts directly from a pandas dataframe. See the [**Pandas Interface**](https://nicohlr.github.io/ipychart/user_guide/pandas.html) section of the documentation for more details.

Development Installation 
------------

For a development installation:

    $ git clone https://github.com/nicohlr/ipychart.git
    $ cd ipychart
    $ conda install jupyterlab -c conda-forge
    $ cd ipychart/src
    $ jlpm install 
    $ cd .. 
    $ pip install -e .
    $ jupyter nbextension install --py --symlink --sys-prefix ipychart
    $ jupyter nbextension enable --py --sys-prefix ipychart

References
------------

- [**Chart.js**](https://www.chartjs.org/)
- [**Ipywidgets**](https://ipywidgets.readthedocs.io/en/latest/index.html)
- [**Ipywidgets cookiecutter template**](https://github.com/jupyter-widgets/widget-ts-cookiecutter)
- [**Chart.js Datalabels**](https://github.com/chartjs/chartjs-plugin-datalabels)
- [**Chart.js Zoom**](https://github.com/chartjs/chartjs-plugin-zoom)
- [**Vuepress**](https://vuepress.vuejs.org/)
- [**GitHub Pages**](https://pages.github.com/)

License
------------

Ipychart is available under the [MIT license](https://opensource.org/licenses/MIT).
            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "ipychart",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": null,
    "keywords": "IPython, Jupyter, Widgets",
    "author": null,
    "author_email": "Nicolas Houlier <nicolas.houlier@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/6c/fa/d34bfa363cea6963a7b9f91635296d7c27aca9d8d35e3c88c82a967f8460/ipychart-0.5.2.tar.gz",
    "platform": null,
    "description": "<p align=\"center\">\n    <img src=\"./docs/docs/.vuepress/public/ipychart.png#gh-light-mode-only\" width=\"18%\">\n    <img src=\"./docs/docs/.vuepress/public/ipychart-dark.png#gh-dark-mode-only\" width=\"18%\"><br>\n    The power of Chart.js with Python\n</p>\n\n<p align=\"center\">\n    <a href=\"https://github.com/nicohlr/ipychart/blob/master/LICENSE\">\n        <img alt=\"GitHub\" src=\"https://img.shields.io/github/license/nicohlr/ipychart\">\n    </a>\n    <a href=\"https://pypi.org/project/ipychart/\">\n        <img alt=\"GitHub release (latest by date)\" src=\"https://img.shields.io/github/v/release/nicohlr/ipychart\">\n    </a>\n    <a href=\"https://mybinder.org/v2/gh/nicohlr/ipychart/master?labpath=examples\">\n        <img alt=\"Binder\" src=\"https://mybinder.org/badge_logo.svg\">\n    </a>\n    <a href=\"https://github.com/chartjs/awesome\">\n        <img alt=\"Awesome Chart.js\" src=\"https://img.shields.io/static/v1?message=awesome&logo=awesome-lists&labelColor=fc60a8&color=494368&logoColor=white&label=%20\">\n    </a>\n</p>\n\nInstallation\n------------\n\nYou can install ipychart from your terminal using pip or conda:\n\n```bash\n# using pip\n$ pip install ipychart\n\n# using conda\n$ conda install -c conda-forge ipychart\n```\n\nDocumentation\n------------\n\n- [**Introduction**](https://nicohlr.github.io/ipychart/user_guide/introduction.html)\n- [**Getting Started**](https://nicohlr.github.io/ipychart/user_guide/getting_started.html)\n- [**Usage**](https://nicohlr.github.io/ipychart/user_guide/usage.html)\n- [**Charts**](https://nicohlr.github.io/ipychart/user_guide/charts.html)\n- [**Configuration**](https://nicohlr.github.io/ipychart/user_guide/configuration.html)\n- [**Scales**](https://nicohlr.github.io/ipychart/user_guide/scales.html)\n- [**Pandas Interface**](https://nicohlr.github.io/ipychart/user_guide/pandas.html)\n- [**Advanced Features**](https://nicohlr.github.io/ipychart/user_guide/advanced.html)\n- [**Developers**](https://nicohlr.github.io/ipychart/developer_guide/development_installation.html)\n\nUsage\n------------\n\nCreate charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the the cells of your jupyter notebook environment:\n\n![](./docs/docs/.vuepress/public/ipychart-demo.gif)\n\nYou can also create charts directly from a pandas dataframe. See the [**Pandas Interface**](https://nicohlr.github.io/ipychart/user_guide/pandas.html) section of the documentation for more details.\n\nDevelopment Installation \n------------\n\nFor a development installation:\n\n    $ git clone https://github.com/nicohlr/ipychart.git\n    $ cd ipychart\n    $ conda install jupyterlab -c conda-forge\n    $ cd ipychart/src\n    $ jlpm install \n    $ cd .. \n    $ pip install -e .\n    $ jupyter nbextension install --py --symlink --sys-prefix ipychart\n    $ jupyter nbextension enable --py --sys-prefix ipychart\n\nReferences\n------------\n\n- [**Chart.js**](https://www.chartjs.org/)\n- [**Ipywidgets**](https://ipywidgets.readthedocs.io/en/latest/index.html)\n- [**Ipywidgets cookiecutter template**](https://github.com/jupyter-widgets/widget-ts-cookiecutter)\n- [**Chart.js Datalabels**](https://github.com/chartjs/chartjs-plugin-datalabels)\n- [**Chart.js Zoom**](https://github.com/chartjs/chartjs-plugin-zoom)\n- [**Vuepress**](https://vuepress.vuejs.org/)\n- [**GitHub Pages**](https://pages.github.com/)\n\nLicense\n------------\n\nIpychart is available under the [MIT license](https://opensource.org/licenses/MIT).",
    "bugtrack_url": null,
    "license": "Copyright (c) 2020 Nicolas Houlier  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:  The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.",
    "summary": "A Jupyter - Chart.js bridge enabling interactive data visualization with Python.",
    "version": "0.5.2",
    "project_urls": {
        "Homepage": "https://github.com/nicohlr/ipychart"
    },
    "split_keywords": [
        "ipython",
        " jupyter",
        " widgets"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "58a4b5f27a1c4ebdfcffdf5c7b76f37ff72ecd51f12162f645172a80927ba5a2",
                "md5": "7b57a03c812c3cc0347b1056c250c852",
                "sha256": "511d6c214ac337a72de383866565e2a4cc29af27fc67b8b1e6134726b1db2cef"
            },
            "downloads": -1,
            "filename": "ipychart-0.5.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "7b57a03c812c3cc0347b1056c250c852",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 2228368,
            "upload_time": "2024-08-24T17:44:53",
            "upload_time_iso_8601": "2024-08-24T17:44:53.409997Z",
            "url": "https://files.pythonhosted.org/packages/58/a4/b5f27a1c4ebdfcffdf5c7b76f37ff72ecd51f12162f645172a80927ba5a2/ipychart-0.5.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6cfad34bfa363cea6963a7b9f91635296d7c27aca9d8d35e3c88c82a967f8460",
                "md5": "405ceada0495f85585b5cde99709d778",
                "sha256": "2df0f8b0760c1c98062f29b2b32ad250c1ea245699b6798f78fdb9d014546425"
            },
            "downloads": -1,
            "filename": "ipychart-0.5.2.tar.gz",
            "has_sig": false,
            "md5_digest": "405ceada0495f85585b5cde99709d778",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 9116799,
            "upload_time": "2024-08-24T17:44:55",
            "upload_time_iso_8601": "2024-08-24T17:44:55.269767Z",
            "url": "https://files.pythonhosted.org/packages/6c/fa/d34bfa363cea6963a7b9f91635296d7c27aca9d8d35e3c88c82a967f8460/ipychart-0.5.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-08-24 17:44:55",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "nicohlr",
    "github_project": "ipychart",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "ipychart"
}