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

.. only:: html

    .. meta::
        :keywords: codex

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

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

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

.. _sphx_glr_gallery_statistics_hexbin_demo.py:


=====================
Hexagonal binned plot
=====================

`~.Axes.hexbin` is a 2D histogram plot, in which the bins are hexagons and
the color represents the number of data points within each bin.

.. GENERATED FROM PYTHON SOURCE LINES 9-36

.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    n = 100_000
    x = np.random.standard_normal(n)
    y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
    xlim = x.min(), x.max()
    ylim = y.min(), y.max()

    fig, (ax0, ax1) = plt.subplots(ncols=2, sharey=True, figsize=(9, 4))

    hb = ax0.hexbin(x, y, gridsize=50, cmap='inferno')
    ax0.set(xlim=xlim, ylim=ylim)
    ax0.set_title("Hexagon binning")
    cb = fig.colorbar(hb, ax=ax0, label='counts')

    hb = ax1.hexbin(x, y, gridsize=50, bins='log', cmap='inferno')
    ax1.set(xlim=xlim, ylim=ylim)
    ax1.set_title("With a log color scale")
    cb = fig.colorbar(hb, ax=ax1, label='counts')

    plt.show()




.. image-sg:: /gallery/statistics/images/sphx_glr_hexbin_demo_001.png
   :alt: Hexagon binning, With a log color scale
   :srcset: /gallery/statistics/images/sphx_glr_hexbin_demo_001.png, /gallery/statistics/images/sphx_glr_hexbin_demo_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 37-45

.. tags:: plot-type: histogram, plot-type: hexbin, domain: statistics

.. admonition:: References

   The use of the following functions, methods, classes and modules is shown
   in this example:

   - `matplotlib.axes.Axes.hexbin` / `matplotlib.pyplot.hexbin`


.. _sphx_glr_download_gallery_statistics_hexbin_demo.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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