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

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

.. _sphx_glr__gallery_scatter_scatter_size.py:


Scatter Plot Size
=================

Example showing point size change for scatter plot.

.. GENERATED FROM PYTHON SOURCE LINES 7-47



.. image-sg:: /_gallery/scatter/images/sphx_glr_scatter_size_001.webp
   :alt: scatter size
   :srcset: /_gallery/scatter/images/sphx_glr_scatter_size_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 numpy as np
    import fastplotlib as fpl

    # figure with 2 rows and 3 columns
    shape = (2, 1)

    # you can give string names for each subplot within the gridplot
    names = [["scalar_size"], ["array_size"]]

    # Create the grid plot
    figure = fpl.Figure(shape=shape, names=names, size=(700, 560))

    # get y_values using sin function
    angles = np.arange(0, 20 * np.pi + 0.001, np.pi / 20)
    y_values = 30 * np.sin(angles)  # 1 thousand points
    x_values = np.array([x for x in range(len(y_values))], dtype=np.float32)

    data = np.column_stack([x_values, y_values])

    figure["scalar_size"].add_scatter(
        data=data, sizes=5, colors="blue"
    )  # add a set of scalar sizes

    non_scalar_sizes = np.abs((y_values / np.pi))  # ensure minimum size of 5
    figure["array_size"].add_scatter(data=data, sizes=non_scalar_sizes, colors="red")

    for graph in figure:
        graph.auto_scale(maintain_aspect=True)

    figure.show()


    # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
    # please see our docs for using fastplotlib interactively in ipython and jupyter
    if __name__ == "__main__":
        print(__doc__)
        fpl.run()


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

   **Total running time of the script:** (0 minutes 0.872 seconds)


.. _sphx_glr_download__gallery_scatter_scatter_size.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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