.. _sphx_glr_gallery_statistics_hexbin_demo.py:


===========
Hexbin Demo
===========

Plotting hexbins with Matplotlib.

Hexbin is an axes method or pyplot function that is essentially
a pcolor of a 2-D histogram with hexagonal cells.  It can be
much more informative than a scatter plot. In the first plot
below, try substituting 'scatter' for 'hexbin'.




.. image:: /gallery/statistics/images/sphx_glr_hexbin_demo_001.png
    :align: center





.. code-block:: python


    import numpy as np
    import matplotlib.pyplot as plt

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

    n = 100000
    x = np.random.standard_normal(n)
    y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
    xmin = x.min()
    xmax = x.max()
    ymin = y.min()
    ymax = y.max()

    fig, axs = plt.subplots(ncols=2, sharey=True, figsize=(7, 4))
    fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)
    ax = axs[0]
    hb = ax.hexbin(x, y, gridsize=50, cmap='inferno')
    ax.axis([xmin, xmax, ymin, ymax])
    ax.set_title("Hexagon binning")
    cb = fig.colorbar(hb, ax=ax)
    cb.set_label('counts')

    ax = axs[1]
    hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='inferno')
    ax.axis([xmin, xmax, ymin, ymax])
    ax.set_title("With a log color scale")
    cb = fig.colorbar(hb, ax=ax)
    cb.set_label('log10(N)')

    plt.show()



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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