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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_szeged_hungry.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_szeged_hungry.py:


=========================
Szeged Hungary
=========================

.. GENERATED FROM PYTHON SOURCE LINES 6-15

.. code-block:: Python


    if __name__ == '__main__':
        import os
        import site
        # add parent directory to path
        et_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
        print(et_dir)
        site.addsitedir(et_dir)



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

.. code-block:: pytb

    Traceback (most recent call last):
      File "/home/docs/checkouts/readthedocs.org/user_builds/etutil/checkouts/latest/examples/szeged_hungry.py", line 11, in <module>
        et_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
    NameError: name '__file__' is not defined




.. GENERATED FROM PYTHON SOURCE LINES 16-60

.. code-block:: Python


    import pandas as pd

    from ETUtil.et_methods import PenmanMonteith

    # This should be a good example for missing data/interpolation of input data

    # https://www.kaggle.com/budincsevity/szeged-weather?select=weatherHistory.csv
    df = pd.read_csv(
        "/mnt/datawaha/hyex/atr/weatherHistory.csv", 
        #na_values="-", 
        delimiter=','
        )
    idx_str = df['Formatted Date'].astype(str)

    x = []
    for i in idx_str:
        x.append(i[0:19])
    df.index = pd.to_datetime(x)


    df = df[['Temperature (C)', 'Humidity', 'Wind Speed (km/h)']]
    df = df.rename(columns={'Temperature (C)': 'temp',
                            'Humidity': 'rel_hum',
                            'Wind Speed (km/h)': 'wind_speed',
                            })

    df = df.apply(pd.to_numeric)

    units = {'temp': 'Centigrade',
             'rel_hum': 'percent',
             'wind_speed': 'MilesPerHour'}

    constants = dict()
    constants['lat_dec_deg'] = 46.2529984
    constants['altitude'] = 76
    # These values are not accurate
    constants['a_s'] = 0.23
    constants['albedo'] = 0.23
    constants['b_s'] = 0.5
    constants['wind_z'] = 2

    eto_model = PenmanMonteith(df, units=units, constants=constants, verbosity=2, calculate_at='60mins')
    eto = eto_model()


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

   **Total running time of the script:** (0 minutes 0.001 seconds)


.. _sphx_glr_download_auto_examples_szeged_hungry.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: szeged_hungry.zip <szeged_hungry.zip>`


.. only:: html

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

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