.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_multiple_vars.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_plot_multiple_vars.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_plot_multiple_vars.py:


=======================================================
Plot multiple variables
=======================================================

This example shows how to plot multiple variables from a GenieModel object. I use a modern model run as an example and plot the surface temperature, PO4, Fe, and O2.

The following features are particularly demonstrated:

#. Customizing the plot projection with cartopy

#. Plotting multiple variables in one figure

#. Controlling the elements in cgeniepy.GriddedDataVis object

#. Using CommunityPalette to get a pretty color palette

.. GENERATED FROM PYTHON SOURCE LINES 18-39



.. image-sg:: /auto_examples/images/sphx_glr_plot_multiple_vars_001.png
   :alt: plot multiple vars
   :srcset: /auto_examples/images/sphx_glr_plot_multiple_vars_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/cgeniepy/envs/stable/lib/python3.12/site-packages/cgeniepy/model.py:58: UserWarning: No gemflag is provided, use default gemflags: [biogem]
      warnings.warn("No gemflag is provided, use default gemflags: [biogem]")






|

.. code-block:: Python



    import matplotlib.pyplot as plt
    import cartopy.crs as ccrs
    import cgeniepy
    from cgeniepy.plot import CommunityPalette

    fig, axs = plt.subplots(2, 2, figsize=(10, 8), subplot_kw={'projection': ccrs.PlateCarree()})

    pi_model = cgeniepy.sample_model()

    variable = ['ocn_sur_temp', 'bio_fexport_POC', 'ocn_sur_PO4','ocn_sur_O2']
    cmap = ['r_terrain', 'tol_rainbow', 'parula','ODV']

    for i in range(4):
        data = pi_model.get_var(variable[i]).isel(time=-1).to_GriddedDataVis()
        data.aes_dict['pcolormesh_kwargs']['cmap'] = CommunityPalette(cmap[i]).colormap
        data.aes_dict['contourf_kwargs']['cmap'] = CommunityPalette(cmap[i]).colormap    

        data.aes_dict['facecolor_kwargs']['c'] = 'white'
        data.plot(ax=axs.flatten()[i],colorbar=True, outline=True, gridline=True, contourf=True)


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

   **Total running time of the script:** (0 minutes 1.503 seconds)


.. _sphx_glr_download_auto_examples_plot_multiple_vars.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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