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

.. only:: html

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

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

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

.. _sphx_glr__gallery_line_line_colorslice.py:


Line Plot Color Slicing
=======================

Example showing color slicing with cosine, sine, sinc lines.

.. GENERATED FROM PYTHON SOURCE LINES 7-90



.. image-sg:: /_gallery/line/images/sphx_glr_line_colorslice_001.webp
   :alt: line colorslice
   :srcset: /_gallery/line/images/sphx_glr_line_colorslice_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

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

    xs = np.linspace(-10, 10, 100)
    # sine wave
    ys = np.sin(xs)
    sine = np.column_stack([xs, ys])

    # cosine wave
    ys = np.cos(xs)
    cosine = np.column_stack([xs, ys])

    # sinc function
    a = 0.5
    ys = np.sinc(xs) * 3
    sinc = np.column_stack([xs, ys])

    sine_graphic = figure[0, 0].add_line(
        data=sine,
        thickness=5,
        colors="magenta"
    )

    # you can also use colormaps for lines!
    cosine_graphic = figure[0, 0].add_line(
        data=cosine,
        thickness=12,
        cmap="autumn",
        offset=(0, 3, 0)  # places the graphic at a y-axis offset of 3, offsets don't affect data
    )

    # or a list of colors for each datapoint
    colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25
    sinc_graphic = figure[0, 0].add_line(
        data=sinc,
        thickness=5,
        colors=colors,
        offset=(0, 6, 0)
    )

    zeros = np.zeros(xs.size)
    zeros_data = np.column_stack([xs, zeros])
    zeros_graphic = figure[0, 0].add_line(
        data=zeros_data,
        thickness=8,
        colors="w",
        offset=(0, 10, 0)
    )

    figure.show()

    # indexing of colors
    cosine_graphic.colors[:15] = "magenta"
    cosine_graphic.colors[90:] = "red"
    cosine_graphic.colors[60] = "w"

    # more complex indexing, set the blue value directly from an array
    cosine_graphic.colors[65:90, 0] = np.linspace(0, 1, 90-65)

    # additional fancy indexing using numpy
    key = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 67, 19])
    sinc_graphic.colors[key] = "Red"

    # boolean fancy indexing
    zeros_graphic.colors[xs < -5] = "green"

    # assign colormap to an entire line
    sine_graphic.cmap = "seismic"
    # or to segments of a line
    zeros_graphic.cmap[50:75] = "jet"
    zeros_graphic.cmap[75:] = "viridis"


    # 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_line_line_colorslice.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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