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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_sample_data_texas-wind.py>`
        to download the full example code

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

.. _sphx_glr_sample_data_texas-wind.py:


[DEPRECATED] Wind speed data from Texas
=======================================

.. 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.

This is average wind speed and air temperature for data for the state of Texas,
USA, on February 26 2018. The original data was downloaded from `Iowa State
University <https://mesonet.agron.iastate.edu/request/download.phtml>`__.

.. GENERATED FROM PYTHON SOURCE LINES 22-57



.. image-sg:: /sample_data/images/sphx_glr_texas-wind_001.png
   :alt: Wind speed and air temperature for Texas
   :srcset: /sample_data/images/sphx_glr_texas-wind_001.png
   :class: sphx-glr-single-img


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

 Out:

 .. code-block:: none

      station_id  longitude  ...  wind_speed_east_knots  wind_speed_north_knots
    0        0F2   -97.7756  ...               1.032920               -2.357185
    1        11R   -96.3742  ...               1.692155                2.982564
    2        2F5  -101.9018  ...              -1.110056               -0.311412
    3        3T5   -96.9500  ...               1.695097                3.018448
    4        5C1   -98.6946  ...               1.271400                1.090743

    [5 rows x 6 columns]






|

.. 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_texas_wind()
    print(data.head())

    # Make a Mercator map of the data using Cartopy
    plt.figure(figsize=(8, 6))
    ax = plt.axes(projection=ccrs.Mercator())
    ax.set_title("Wind speed and air temperature for Texas")
    # Plot the air temperature as colored circles and the wind speed as vectors.
    plt.scatter(
        data.longitude,
        data.latitude,
        c=data.air_temperature_c,
        s=100,
        cmap="plasma",
        transform=ccrs.PlateCarree(),
    )
    plt.colorbar().set_label("Air temperature (C)")
    ax.quiver(
        data.longitude.values,
        data.latitude.values,
        data.wind_speed_east_knots.values,
        data.wind_speed_north_knots.values,
        width=0.003,
        transform=ccrs.PlateCarree(),
    )
    # Use an utility function to add tick labels and land and ocean features to the
    # map.
    vd.datasets.setup_texas_wind_map(ax)
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.194 seconds)


.. _sphx_glr_download_sample_data_texas-wind.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: texas-wind.py <texas-wind.py>`



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

     :download:`Download Jupyter notebook: texas-wind.ipynb <texas-wind.ipynb>`


.. only:: html

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

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