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

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

.. _sphx_glr__gallery_line_line_cmap_more.py:


Lines more colormapping
=======================

Example showing more on colormapping with lines

.. GENERATED FROM PYTHON SOURCE LINES 7-56



.. image-sg:: /_gallery/line/images/sphx_glr_line_cmap_more_001.webp
   :alt: line cmap more
   :srcset: /_gallery/line/images/sphx_glr_line_cmap_more_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

    xs = np.linspace(0, 10 * np.pi, 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])

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

    # basic white line
    line0 = figure[0, 0].add_line(sine, thickness=10)

    # set colormap along line datapoints, use an offset to place it above the previous line
    line1 = figure[0, 0].add_line(sine, thickness=10, cmap="jet", offset=(0, 2, 0))

    # set colormap by mapping data using a transform
    # here we map the color using the y-values of the sine data
    # i.e., the color is a function of sine(x)
    line2 = figure[0, 0].add_line(sine, thickness=10, cmap="jet", cmap_transform=sine[:, 1], offset=(0, 4, 0))

    # make a line and change the cmap afterward, here we are using the cosine instead fot the transform
    line3 = figure[0, 0].add_line(sine, thickness=10, cmap="jet", cmap_transform=cosine[:, 1], offset=(0, 6, 0))
    # change the cmap
    line3.cmap = "bwr"

    # use quantitative colormaps with categorical cmap_transforms
    labels = [0] * 25 + [1] * 5 + [2] * 50 + [3] * 20
    line4 = figure[0, 0].add_line(sine, thickness=10, cmap="tab10", cmap_transform=labels, offset=(0, 8, 0))

    # some text labels
    for i in range(5):
        figure[0, 0].add_text(f"line{i}", font_size=20, offset=(1, (i * 2) + 1.5, 0))

    figure.show(maintain_aspect=False)


    # 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 0.920 seconds)


.. _sphx_glr_download__gallery_line_line_cmap_more.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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