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

.. only:: html

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

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

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

.. _sphx_glr__gallery_scatter_scatter_iris.py:


Iris Scatter Plot
=================

Example showing scatter plot using sklearn iris dataset.

.. GENERATED FROM PYTHON SOURCE LINES 7-47



.. image-sg:: /_gallery/scatter/images/sphx_glr_scatter_iris_001.webp
   :alt: scatter iris
   :srcset: /_gallery/scatter/images/sphx_glr_scatter_iris_001.webp
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/runner/work/fastplotlib/fastplotlib/fastplotlib/graphics/features/_base.py:18: UserWarning: casting float64 array to float32
      warn(f"casting {array.dtype} array to float32")







|

.. code-block:: Python


    # test_example = true

    import fastplotlib as fpl
    import numpy as np
    from sklearn.cluster import AgglomerativeClustering
    from sklearn import datasets


    figure = fpl.Figure(size=(700, 560))

    data, target = datasets.load_iris(return_X_y=True)
    data = data[:, :2]  # use only first 2 features

    # map target class to scatter point marker
    markers_map = {0: "o", 1: "s", 2: "+"}
    markers = list(map(markers_map.get, target))

    agg = AgglomerativeClustering(n_clusters=3)
    agg.fit_predict(data)

    clusters_labels = agg.labels_

    scatter = figure[0, 0].add_scatter(
        data=data,
        sizes=10,
        alpha=0.7,
        cmap="tab10",
        cmap_transform=clusters_labels,
        markers=markers,
    )

    figure.show()


    # NOTE: fpl.loop.run() should not be used for interactive sessions
    # See the "JupyterLab and IPython" section in the user guide
    if __name__ == "__main__":
        print(__doc__)
        fpl.loop.run()


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

   **Total running time of the script:** (0 minutes 0.431 seconds)


.. _sphx_glr_download__gallery_scatter_scatter_iris.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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