matplotlib-inline


Namematplotlib-inline JSON
Version 0.1.7 PyPI version JSON
download
home_pageNone
SummaryInline Matplotlib backend for Jupyter
upload_time2024-04-15 13:44:44
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseBSD 3-Clause License Copyright (c) 2019-2022, IPython Development Team. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
keywords ipython jupyter matplotlib python
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Matplotlib Inline Back-end for IPython and Jupyter

This package provides support for matplotlib to display figures directly inline in the Jupyter notebook and related clients, as shown below.

## Installation

With conda:

```bash
conda install -c conda-forge matplotlib-inline
```

With pip:

```bash
pip install matplotlib-inline
```

## Usage

Note that in current versions of JupyterLab and Jupyter Notebook, the explicit use of the `%matplotlib inline` directive is not needed anymore, though other third-party clients may still require it.

This will produce a figure immediately below:

```python
%matplotlib inline

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp');
```

## License

Licensed under the terms of the BSD 3-Clause License, by the IPython Development Team (see `LICENSE` file).

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "matplotlib-inline",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "ipython, jupyter, matplotlib, python",
    "author": null,
    "author_email": "IPython Development Team <ipython-dev@python.org>",
    "download_url": "https://files.pythonhosted.org/packages/99/5b/a36a337438a14116b16480db471ad061c36c3694df7c2084a0da7ba538b7/matplotlib_inline-0.1.7.tar.gz",
    "platform": null,
    "description": "# Matplotlib Inline Back-end for IPython and Jupyter\n\nThis package provides support for matplotlib to display figures directly inline in the Jupyter notebook and related clients, as shown below.\n\n## Installation\n\nWith conda:\n\n```bash\nconda install -c conda-forge matplotlib-inline\n```\n\nWith pip:\n\n```bash\npip install matplotlib-inline\n```\n\n## Usage\n\nNote that in current versions of JupyterLab and Jupyter Notebook, the explicit use of the `%matplotlib inline` directive is not needed anymore, though other third-party clients may still require it.\n\nThis will produce a figure immediately below:\n\n```python\n%matplotlib inline\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nx = np.linspace(0, 3*np.pi, 500)\nplt.plot(x, np.sin(x**2))\nplt.title('A simple chirp');\n```\n\n## License\n\nLicensed under the terms of the BSD 3-Clause License, by the IPython Development Team (see `LICENSE` file).\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause License  Copyright (c) 2019-2022, IPython Development Team. All rights reserved.  Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.  3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ",
    "summary": "Inline Matplotlib backend for Jupyter",
    "version": "0.1.7",
    "project_urls": {
        "Homepage": "https://github.com/ipython/matplotlib-inline"
    },
    "split_keywords": [
        "ipython",
        " jupyter",
        " matplotlib",
        " python"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8f8e9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285",
                "md5": "eb4559ce0ab18f03f3e898765ac302e7",
                "sha256": "df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"
            },
            "downloads": -1,
            "filename": "matplotlib_inline-0.1.7-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "eb4559ce0ab18f03f3e898765ac302e7",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 9899,
            "upload_time": "2024-04-15T13:44:43",
            "upload_time_iso_8601": "2024-04-15T13:44:43.265949Z",
            "url": "https://files.pythonhosted.org/packages/8f/8e/9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285/matplotlib_inline-0.1.7-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "995ba36a337438a14116b16480db471ad061c36c3694df7c2084a0da7ba538b7",
                "md5": "96fe871bf30dc414e6724423c1e2ebb1",
                "sha256": "8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"
            },
            "downloads": -1,
            "filename": "matplotlib_inline-0.1.7.tar.gz",
            "has_sig": false,
            "md5_digest": "96fe871bf30dc414e6724423c1e2ebb1",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 8159,
            "upload_time": "2024-04-15T13:44:44",
            "upload_time_iso_8601": "2024-04-15T13:44:44.803459Z",
            "url": "https://files.pythonhosted.org/packages/99/5b/a36a337438a14116b16480db471ad061c36c3694df7c2084a0da7ba538b7/matplotlib_inline-0.1.7.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-15 13:44:44",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "ipython",
    "github_project": "matplotlib-inline",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "matplotlib-inline"
}
        
Elapsed time: 0.33450s