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

.. only:: html

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

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

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

.. _sphx_glr_gallery_plot_boston_airbnb_kde.py:


KDEPlot of Boston AirBnB Locations
==================================

This example demonstrates a combined application of ``kdeplot`` and ``pointplot`` to a
dataset of AirBnB locations in Boston. The result is outputted to a webmap using the nifty
``mplleaflet`` library. We sample just 1000 points, which captures the overall trend without
overwhelming the renderer.

`Click here to see this plot as an interactive webmap.
<https://bl.ocks.org/ResidentMario/868ac097d671df1ed5ec83eed048560c>`_

.. GENERATED FROM PYTHON SOURCE LINES 13-28



.. image:: /gallery/images/sphx_glr_plot_boston_airbnb_kde_001.png
    :alt: Boston AirBnB Locations, 2016
    :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1582: UserWarning: Trying to register the cmap 'rocket' which already exists.
      mpl_cm.register_cmap(_name, _cmap)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1583: UserWarning: Trying to register the cmap 'rocket_r' which already exists.
      mpl_cm.register_cmap(_name + "_r", _cmap_r)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1582: UserWarning: Trying to register the cmap 'mako' which already exists.
      mpl_cm.register_cmap(_name, _cmap)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1583: UserWarning: Trying to register the cmap 'mako_r' which already exists.
      mpl_cm.register_cmap(_name + "_r", _cmap_r)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1582: UserWarning: Trying to register the cmap 'icefire' which already exists.
      mpl_cm.register_cmap(_name, _cmap)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1583: UserWarning: Trying to register the cmap 'icefire_r' which already exists.
      mpl_cm.register_cmap(_name + "_r", _cmap_r)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1582: UserWarning: Trying to register the cmap 'vlag' which already exists.
      mpl_cm.register_cmap(_name, _cmap)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1583: UserWarning: Trying to register the cmap 'vlag_r' which already exists.
      mpl_cm.register_cmap(_name + "_r", _cmap_r)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1582: UserWarning: Trying to register the cmap 'flare' which already exists.
      mpl_cm.register_cmap(_name, _cmap)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1583: UserWarning: Trying to register the cmap 'flare_r' which already exists.
      mpl_cm.register_cmap(_name + "_r", _cmap_r)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1582: UserWarning: Trying to register the cmap 'crest' which already exists.
      mpl_cm.register_cmap(_name, _cmap)
    /Users/alekseybilogur/opt/miniconda3/envs/geoplot-dev/lib/python3.8/site-packages/seaborn/cm.py:1583: UserWarning: Trying to register the cmap 'crest_r' which already exists.
      mpl_cm.register_cmap(_name + "_r", _cmap_r)

    Text(0.5, 1.0, 'Boston AirBnB Locations, 2016')





|

.. code-block:: default


    import geopandas as gpd
    import geoplot as gplt
    import geoplot.crs as gcrs
    import matplotlib.pyplot as plt

    boston_airbnb_listings = gpd.read_file(gplt.datasets.get_path('boston_airbnb_listings'))

    ax = gplt.kdeplot(
        boston_airbnb_listings, cmap='viridis', projection=gcrs.WebMercator(), figsize=(12, 12),
        shade=True
    )
    gplt.pointplot(boston_airbnb_listings, s=1, color='black', ax=ax)
    gplt.webmap(boston_airbnb_listings, ax=ax)
    plt.title('Boston AirBnB Locations, 2016', fontsize=18)


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

   **Total running time of the script:** ( 0 minutes  3.566 seconds)


.. _sphx_glr_download_gallery_plot_boston_airbnb_kde.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_boston_airbnb_kde.py <plot_boston_airbnb_kde.py>`



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

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


.. only:: html

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

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