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

.. only:: html

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

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

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

.. _sphx_glr_sample_data_baja_bathymetry.py:


[DEPRECATED] Bathymetry data from Baja California
=================================================

.. warning::

    All sample datasets in Verde are deprecated and will be
    **removed in Verde v2.0.0**.
    The tutorials/examples will transition to using
    `Ensaio <https://www.fatiando.org/ensaio/>`__ instead.

We provide sample bathymetry data from Baja California to test the gridding
methods. This is the ``@tut_ship.xyz`` sample data provided by `GMT
<https://www.generic-mapping-tools.org/>`__ for their tutorials and gallery.
The data is downloaded to a local directory if it's not there already.

.. GENERATED FROM PYTHON SOURCE LINES 23-51



.. image-sg:: /sample_data/images/sphx_glr_baja_bathymetry_001.png
   :alt: Bathymetry from Baja California
   :srcset: /sample_data/images/sphx_glr_baja_bathymetry_001.png
   :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none

       longitude  latitude  bathymetry_m
    0  245.00891  27.49555        -636.0
    1  245.01201  27.49286        -655.0
    2  245.01512  27.49016        -710.0
    3  245.01822  27.48746        -695.0
    4  245.02443  27.48206        -747.0






|

.. code-block:: default

    import cartopy.crs as ccrs
    import matplotlib.pyplot as plt

    import verde as vd

    # The data are in a pandas.DataFrame
    data = vd.datasets.fetch_baja_bathymetry()
    print(data.head())

    # Make a Mercator map of the data using Cartopy
    plt.figure(figsize=(7, 6))
    ax = plt.axes(projection=ccrs.Mercator())
    ax.set_title("Bathymetry from Baja California")
    # Plot the bathymetry as colored circles. Cartopy requires setting the
    # projection of the original data through the transform argument. Use
    # PlateCarree for geographic data.
    plt.scatter(
        data.longitude,
        data.latitude,
        c=data.bathymetry_m,
        s=0.1,
        transform=ccrs.PlateCarree(),
    )
    plt.colorbar().set_label("meters")
    # Use an utility function to add tick labels and land and ocean features to the
    # map.
    vd.datasets.setup_baja_bathymetry_map(ax)
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  1.217 seconds)


.. _sphx_glr_download_sample_data_baja_bathymetry.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: baja_bathymetry.py <baja_bathymetry.py>`



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

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


.. only:: html

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

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