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

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

.. _sphx_glr_auto_examples_timeseries_plot_nyc.py:


NYC VIIRS AOD vs TropOMI NO2
============================

Timeseries comparison of VIIRS AOD and TropOMI in NYC.

.. GENERATED FROM PYTHON SOURCE LINES 7-59



.. image-sg:: /auto_examples/timeseries/images/sphx_glr_plot_nyc_001.png
   :alt: plot nyc
   :srcset: /auto_examples/timeseries/images/sphx_glr_plot_nyc_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    import matplotlib.pyplot as plt
    import pyrsig
    import os

    os.makedirs('nyc', exist_ok=True)

    # Create an RSIG api isntance
    # Define a Time and Space Scope: here end of February around Phoenix
    rsigapi = pyrsig.RsigApi(
        bdate='2022-01-20', edate='2022-01-25',
        bbox=(-74.8, 40.32, -71.43, 41.4), workdir='nyc'
    )

    # Get TropOMI NO2
    tomino2df = rsigapi.to_dataframe(
        'tropomi.offl.no2.nitrogendioxide_tropospheric_column',
        unit_keys=False, parse_dates=True
    )

    # Get VIIRS AOD
    viirsaoddf = rsigapi.to_dataframe(
        'viirsnoaa.jrraod.AOD550', unit_keys=False, parse_dates=True
    )

    # Create spatial medians for TropOMI and AQS
    tomids = (
        tomino2df.groupby('time').median(numeric_only=True)['nitrogendioxide_tropospheric_column']
    )
    viirsds = (
        viirsaoddf.groupby('time').median(numeric_only=True)['AOD550']
    )

    # Create axes with shared x
    fig, ax = plt.subplots(figsize=(12, 4),
                           gridspec_kw=dict(bottom=0.25, left=0.15, right=0.95))
    ax.tick_params(axis='x', labelrotation = 90)
    tax = ax.twinx()

    # Add VIIRS AOD
    ax.plot(viirsds.index.values, viirsds.values, marker='o', color='g')

    # Add TropOMI NO2
    tax.plot(tomids.index.values, tomids.values, marker='s', color='r')

    # Configure axes
    ax.set(ylabel='VIIRS AOD')
    tax.set(ylim=(0, 1.7e16), ylabel='TropOMI NO2 molecules/cm$^2$')

    plt.show()
    # Or save out figure
    # fig.savefig('nyc.png')


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

   **Total running time of the script:** ( 0 minutes  53.340 seconds)


.. _sphx_glr_download_auto_examples_timeseries_plot_nyc.py:

.. only:: html

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




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

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

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

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


.. only:: html

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

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