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

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

.. _sphx_glr__gallery_scatter_scatter_dataslice_iris.py:


Iris Scatter Plot Data Slicing
==============================

Example showing data slice for scatter plot.

.. GENERATED FROM PYTHON SOURCE LINES 7-37



.. image-sg:: /_gallery/scatter/images/sphx_glr_scatter_dataslice_iris_001.webp
   :alt: scatter dataslice iris
   :srcset: /_gallery/scatter/images/sphx_glr_scatter_dataslice_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 import datasets


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

    data = datasets.load_iris()["data"]

    n_points = 50
    colors = ["yellow"] * n_points + ["cyan"] * n_points + ["magenta"] * n_points

    scatter_graphic = figure[0, 0].add_scatter(data=data[:, :-1], sizes=6, alpha=0.7, colors=colors)

    figure.show()

    scatter_graphic.data[0] = np.array([[5, 3, 1.5]])
    scatter_graphic.data[1] = np.array([[4.3, 3.2, 1.3]])
    scatter_graphic.data[2] = np.array([[5.2, 2.7, 1.7]])

    scatter_graphic.data[10:15] = scatter_graphic.data[0:5] + np.array([1, 1, 1])
    scatter_graphic.data[50:100:2] = scatter_graphic.data[100:150:2] + np.array([1, 1, 0])


    if __name__ == "__main__":
        print(__doc__)
        fpl.run()


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

   **Total running time of the script:** (0 minutes 1.050 seconds)


.. _sphx_glr_download__gallery_scatter_scatter_dataslice_iris.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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