.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "_gallery/scatter/scatter_iris.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_scatter_scatter_iris.py: Iris Scatter Plot ================= Example showing scatter plot using sklearn iris dataset. .. GENERATED FROM PYTHON SOURCE LINES 7-35 .. code-block:: Python # test_example = true import fastplotlib as fpl import numpy as np from pathlib import Path import sys figure = fpl.Figure(size=(700, 560)) current_file = Path(sys.argv[0]).resolve() data_path = Path(__file__).parent.parent.joinpath("data", "iris.npy") data = np.load(data_path) 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() # 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() .. _sphx_glr_download__gallery_scatter_scatter_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_iris.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: scatter_iris.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: scatter_iris.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_