.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/matplotlib/plot_main03_hist2d.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_matplotlib_plot_main03_hist2d.py>`
        to download the full example code

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

.. _sphx_glr__examples_matplotlib_plot_main03_hist2d.py:


03. ``mpl.hist2d``
------------------------

Make a 2D histogram plot.

See: https://jakevdp.github.io/PythonDataScienceHandbook/04.05-histograms-and-binnings.html

.. GENERATED FROM PYTHON SOURCE LINES 10-80



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /_examples/matplotlib/images/sphx_glr_plot_main03_hist2d_001.png
         :alt: Counts (square bin)
         :srcset: /_examples/matplotlib/images/sphx_glr_plot_main03_hist2d_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/matplotlib/images/sphx_glr_plot_main03_hist2d_002.png
         :alt: Counts (hexagonal bin)
         :srcset: /_examples/matplotlib/images/sphx_glr_plot_main03_hist2d_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/matplotlib/images/sphx_glr_plot_main03_hist2d_003.png
         :alt: KDE estimation
         :srcset: /_examples/matplotlib/images/sphx_glr_plot_main03_hist2d_003.png
         :class: sphx-glr-multi-img





.. code-block:: default
   :lineno-start: 10

    # Libraries
    import numpy as np
    import matplotlib.pyplot as plt

    # Specific library
    from sklearn.datasets import make_blobs
    from sklearn.datasets import make_classification
    from scipy.stats import gaussian_kde

    # ----------------------------
    # Load data
    # ----------------------------
    # Create data
    mean = [0, 0]
    cov = [[1, 1], [1, 2]]
    x, y = np.random.multivariate_normal(mean, cov, 10000).T

    # Create data
    data, t = make_classification(n_samples=8000, n_features=2,
        n_informative=2, n_redundant=0, n_repeated=0, n_classes=2,
        n_clusters_per_class=1, weights=None, flip_y=0.00,
        class_sep=1.0, hypercube=True, shift=0.0, scale=1.0,
        shuffle=True, random_state=32)
    x, y = data[:,0], data[:,1]


    # ----------------------------
    # Visualize
    # ----------------------------
    # Plot hist
    f1 = plt.hist2d(x, y, bins=30, cmap='Reds')
    cb = plt.colorbar()
    cb.set_label('counts in bin')
    plt.title('Counts (square bin)')

    # Plot hex
    plt.figure()
    f2 = plt.hexbin(x, y, gridsize=30, cmap='Reds')
    cb = plt.colorbar()
    cb.set_label('counts in bin')
    plt.title('Counts (hexagonal bin)')

    # Plot density
    data = np.vstack([x, y])
    kde = gaussian_kde(data)

    # Parameters
    xmin, xmax = min(x), max(x)
    ymin, ymax = min(y), max(y)

    # evaluate on a regular grid
    xgrid = np.linspace(xmin, xmax, 100)
    ygrid = np.linspace(ymin, ymax, 100)
    Xgrid, Ygrid = np.meshgrid(xgrid, ygrid)
    Z = kde.evaluate(np.vstack([
        Xgrid.ravel(),
        Ygrid.ravel()
    ]))

    # Plot the result as an image
    plt.figure()
    plt.imshow(Z.reshape(Xgrid.shape),
               origin='lower', aspect='auto',
               extent=[xmin, xmax, ymin, ymax],
               cmap='Reds')
    cb = plt.colorbar()
    cb.set_label("density")
    plt.title("KDE estimation")

    # Show
    plt.show()

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

   **Total running time of the script:** ( 0 minutes  2.034 seconds)


.. _sphx_glr_download__examples_matplotlib_plot_main03_hist2d.py:


.. only :: html

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



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

     :download:`Download Python source code: plot_main03_hist2d.py <plot_main03_hist2d.py>`



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

     :download:`Download Jupyter notebook: plot_main03_hist2d.ipynb <plot_main03_hist2d.ipynb>`


.. only:: html

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

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