.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_simple_arxiv.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_simple_arxiv.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_simple_arxiv.py:


Simple ArXiv ML
---------------

Demonstrating some arrow and font styles that can be used with the ArXiv ML data map

.. GENERATED FROM PYTHON SOURCE LINES 7-45



.. image-sg:: /auto_examples/images/sphx_glr_plot_simple_arxiv_001.png
   :alt: ArXiv ML Landscape, A data map of papers from the Machine Learning section of ArXiv
   :srcset: /auto_examples/images/sphx_glr_plot_simple_arxiv_001.png
   :class: sphx-glr-single-img





.. code-block:: Python

    import datamapplot
    import numpy as np
    import requests
    import PIL
    import matplotlib.pyplot as plt
    import colorcet

    plt.rcParams['savefig.bbox'] = 'tight'

    arxivml_data_map = np.load("arxiv_ml_data_map.npz")["arr_0"]
    arxivml_labels = np.load("arxiv_ml_simplified_cluster_labels.npz", allow_pickle=True)["arr_0"]

    arxiv_logo_response = requests.get(
        "https://upload.wikimedia.org/wikipedia/commons/7/7a/ArXiv_logo_2022.png",
        stream=True,
        headers={'User-Agent': 'My User Agent 1.0'}
    )
    arxiv_logo = np.asarray(PIL.Image.open(arxiv_logo_response.raw).convert("RGBA"))

    fig, ax = datamapplot.create_plot(
        arxivml_data_map,
        arxivml_labels,
        title="ArXiv ML Landscape",
        sub_title="A data map of papers from the Machine Learning section of ArXiv",
        logo=arxiv_logo,
        font_family="Montserrat Thin",
        label_font_size=9.5,
        label_margin_factor=1.0,
        arrowprops={
            "arrowstyle": "wedge", "connectionstyle": "arc3,rad=0.3", "linewidth": 0.25, "ec": "#4f3e2d"
        },
        title_keywords={"fontfamily":"Montserrat Thin", "fontweight":"black", "fontsize":36},
        sub_title_keywords={"fontfamily":"Montserrat Thin", "fontsize":22},
        glow_keywords={"n_levels":16, "kernel":"exponential", "kernel_bandwidth":0.2},
        cmap=colorcet.cm.CET_L9,
    )
    fig.savefig("plot_simple_arxiv.png", bbox_inches="tight")
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 10.870 seconds)


.. _sphx_glr_download_auto_examples_plot_simple_arxiv.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_simple_arxiv.ipynb <plot_simple_arxiv.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_simple_arxiv.py <plot_simple_arxiv.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_simple_arxiv.zip <plot_simple_arxiv.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_