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

.. only:: html

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

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

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

.. _sphx_glr_gallery_example_seed_geojson.py:


Seeding from GeoJSON string
===========================

.. GENERATED FROM PYTHON SOURCE LINES 6-11

.. code-block:: Python


    from datetime import datetime, timedelta
    from opendrift.models.leeway import Leeway
    from opendrift.models.openoil import OpenOil








.. GENERATED FROM PYTHON SOURCE LINES 12-14

Polygon
--------

.. GENERATED FROM PYTHON SOURCE LINES 14-39

.. code-block:: Python


    o = OpenOil(loglevel=50)
    for var in ['x_wind', 'y_wind', 'x_sea_water_velocity', 'y_sea_water_velocity']:
        o.set_config('environment:constant:' + var, 0)
    o.seed_from_geojson("""{
          "type": "Feature",
          "geometry": {
            "type": "Polygon",
            "coordinates": [
              [
                [4.0, 60.0], [4.5, 60.0], [4.7, 60.1],
                [4.2, 60.1], [4.0, 60.0]
              ]
            ]
          },
          "properties": {
            "time": "2020-11-06T12:30:00Z",
            "number": 1000,
            "oil_type": "DVALIN 2020",
            "m3_per_hour": 50
          }
        }""")
    o.plot(fast=True)





.. image-sg:: /gallery/images/sphx_glr_example_seed_geojson_001.png
   :alt: OpenDrift - OpenOil (DVALIN 2020) 1000 elements seeded at 2020-11-06 12:30 UTC
   :srcset: /gallery/images/sphx_glr_example_seed_geojson_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    (<GeoAxes: title={'center': 'OpenDrift - OpenOil (DVALIN 2020)\n1000 elements seeded at 2020-11-06 12:30 UTC'}>, <Figure size 1100x733.217 with 1 Axes>)



.. GENERATED FROM PYTHON SOURCE LINES 40-42

Point release at seafloor
--------------------------

.. GENERATED FROM PYTHON SOURCE LINES 42-63

.. code-block:: Python


    o = OpenOil(loglevel=50)
    o.set_config('environment:constant:sea_floor_depth_below_sea_level', 200)
    for var in ['x_wind', 'y_wind', 'x_sea_water_velocity', 'y_sea_water_velocity']:
        o.set_config('environment:constant:' + var, 0)
    o.seed_from_geojson("""{
          "type": "Feature",
          "geometry": {
            "type": "Point",
            "coordinates": [ 4.0, 60.0 ]
          },
          "properties": {
            "time": ["2020-11-06T12:30:00Z", "2020-11-06T18:30:00Z"],
            "number": 3000,
            "z": "seafloor"
          }
        }""")

    o.run(duration=timedelta(hours=6), time_step=300)
    o.animation_profile()





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

 .. code-block:: none

    /root/project/opendrift/models/basemodel/__init__.py:3122: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored
      points = ax.scatter([], [],




.. GENERATED FROM PYTHON SOURCE LINES 64-65

.. image:: /gallery/animations/example_seed_geojson_0.gif

.. GENERATED FROM PYTHON SOURCE LINES 68-71

Cone 
-----
 from (position1, radius1, time1) to (position2, radius2, time2)

.. GENERATED FROM PYTHON SOURCE LINES 71-93

.. code-block:: Python


    o = Leeway(loglevel=50)
    for var in ['x_wind', 'y_wind', 'x_sea_water_velocity', 'y_sea_water_velocity']:
        o.set_config('environment:constant:' + var, 0)
    o.seed_from_geojson("""{
          "type": "Feature",
          "geometry": {
            "type": "LineString",
            "coordinates": [
                [4.0, 60.0], [4.5, 60.1]
            ]
          },
          "properties": {
            "time": ["2020-11-06T12:30:00Z", "2020-11-06T18:30:00Z"],
            "radius": [0, 2000],
            "number": 3000
          }
        }""")

    o.run(duration=timedelta(hours=6))
    o.animation(fast=True)





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

 .. code-block:: none

    /opt/conda/envs/opendrift/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1696: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored
      result = super().scatter(*args, **kwargs)




.. GENERATED FROM PYTHON SOURCE LINES 94-95

.. image:: /gallery/animations/example_seed_geojson_1.gif


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

   **Total running time of the script:** (0 minutes 25.053 seconds)


.. _sphx_glr_download_gallery_example_seed_geojson.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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