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

.. only:: html

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

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

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

.. _sphx_glr_gallery_timeseries.py:


Timeseries
=============================================================================

.. GENERATED FROM PYTHON SOURCE LINES 7-8

This notebook will give examples on how to use data from the Norkyst v3 ocean model to make timeseries. Data is accessed through the Norwegian Meteorological Insitute's THREDDS server: https://thredds.met.no/thredds/catalog.html.

.. GENERATED FROM PYTHON SOURCE LINES 10-11

Importing useful Python packages

.. GENERATED FROM PYTHON SOURCE LINES 11-15

.. code-block:: Python

    import numpy as np
    import matplotlib.pyplot as plt
    import xarray as xr


.. GENERATED FROM PYTHON SOURCE LINES 16-17

Reading in the path from thredds.met.no, using an OPENDAP url

.. GENERATED FROM PYTHON SOURCE LINES 17-22

.. code-block:: Python

    path = 'https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be'

    # Opening a netCDF file as xarray dataset
    ds = xr.open_dataset(path)


.. GENERATED FROM PYTHON SOURCE LINES 23-24

Example from an arbitrary grid point.

.. GENERATED FROM PYTHON SOURCE LINES 24-27

.. code-block:: Python

    ds.temperature.isel(time=slice(0,100) ,X=1000, Y=1000, depth=0).plot()
    plt.show()



.. _sphx_glr_download_gallery_timeseries.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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