.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "_gallery/heatmap/heatmap.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr__gallery_heatmap_heatmap.py: Heatmap or large arrays ======================= Example showing how ImageGraphics can be useful for viewing large arrays, these can be in the order of 10^4 x 10^4. The performance and limitations will depend on your hardware. .. GENERATED FROM PYTHON SOURCE LINES 7-33 .. image-sg:: /_gallery/heatmap/images/sphx_glr_heatmap_001.webp :alt: heatmap :srcset: /_gallery/heatmap/images/sphx_glr_heatmap_001.webp :class: sphx-glr-single-img .. code-block:: Python # test_example = true import fastplotlib as fpl import numpy as np figure = fpl.Figure(size=(700, 560)) xs = np.linspace(0, 2300, 2300, dtype=np.float16) sine = np.sin(np.sqrt(xs)) data = np.vstack([sine * i for i in range(2_300)]) # plot the image data img = figure[0, 0].add_image(data=data, name="heatmap") del data 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 0.774 seconds) .. _sphx_glr_download__gallery_heatmap_heatmap.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: heatmap.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: heatmap.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: heatmap.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_