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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_gallery_vignettes_plot_create_plots.py>`
        to download the full example code

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

.. _sphx_glr_gallery_vignettes_plot_create_plots.py:


Download Data with StreamStats
===============================================================

Learn how to use StreamStats python library to download watershed boundary data
available in USGS StreamStats API. StreamStats provides information including
HUC code, a GeoJSON representation of the polygon associated with the watershed,
and basin characteristics.

.. GENERATED FROM PYTHON SOURCE LINES 12-17

Import Packages
-------------------------------------------------------
Download the necessary Python packages. The ``GeoPandas`` package is an open
source project that assists in working with geospatial data in Python. Learn
more about `GeoPandas <https://geopandas.org/index.html>`_.

.. GENERATED FROM PYTHON SOURCE LINES 17-21

.. code-block:: default


    import streamstats
    import geopandas as gpd








.. GENERATED FROM PYTHON SOURCE LINES 22-28

Identify watershed
---------------------
To identify a HUC, use a latitude and longitude value to select a specific watershed.
Assign cordinates to variables ``lat`` and ``lon``. Using StreamStat's data,
assign location to a variable that will represent the
delineated watershed using the USGS StreamStats API.

.. GENERATED FROM PYTHON SOURCE LINES 28-32

.. code-block:: default


    lat, lon = 39.966256, -105.482227
    ws = streamstats.Watershed(lat=lat, lon=lon)








.. GENERATED FROM PYTHON SOURCE LINES 33-38

Find boundary properties of the watershed
------------------------------------------
``ws.boundary`` is a stored variable in the watershed object and will return
the full watershed GeoJSON as a dictionary. You can access the CRS through
the GeoJSON object.

.. GENERATED FROM PYTHON SOURCE LINES 38-42

.. code-block:: default


    ws.boundary
    ws.boundary['crs']





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

 Out:

 .. code-block:: none


    {'type': 'ESPG', 'properties': {'code': 4326}}



.. GENERATED FROM PYTHON SOURCE LINES 43-46

Create plot of the Watershed
-----------------------------
Open the GeoJSON with GeoPandas and plot the data.

.. GENERATED FROM PYTHON SOURCE LINES 46-52

.. code-block:: default


    ws.boundary
    poly = gpd.GeoDataFrame.from_features(ws.boundary["features"], crs="EPSG:4326")
    ax = poly.plot(figsize=(20, 10), edgecolor='k')
    ax.set_title("Single Watershed", fontsize=30, fontweight = 'bold')
    ax.set_axis_off()



.. image:: /gallery_vignettes/images/sphx_glr_plot_create_plots_001.png
    :alt: Single Watershed
    :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  44.197 seconds)


.. _sphx_glr_download_gallery_vignettes_plot_create_plots.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: plot_create_plots.py <plot_create_plots.py>`



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

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


.. only:: html

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

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