.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "_gallery/scatter/scatter_dataslice_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_dataslice_iris.py: Iris Scatter Plot Data Slicing ============================== Example showing data slice for scatter plot. .. GENERATED FROM PYTHON SOURCE LINES 7-37 .. image-sg:: /_gallery/scatter/images/sphx_glr_scatter_dataslice_iris_001.webp :alt: scatter dataslice iris :srcset: /_gallery/scatter/images/sphx_glr_scatter_dataslice_iris_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 from sklearn import datasets figure = fpl.Figure(size=(700, 560)) data = datasets.load_iris()["data"] 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() scatter_graphic.data[0] = np.array([[5, 3, 1.5]]) scatter_graphic.data[1] = np.array([[4.3, 3.2, 1.3]]) scatter_graphic.data[2] = np.array([[5.2, 2.7, 1.7]]) scatter_graphic.data[10:15] = scatter_graphic.data[0:5] + np.array([1, 1, 1]) scatter_graphic.data[50:100:2] = scatter_graphic.data[100:150:2] + np.array([1, 1, 0]) if __name__ == "__main__": print(__doc__) fpl.run() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 1.061 seconds) .. _sphx_glr_download__gallery_scatter_scatter_dataslice_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_dataslice_iris.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: scatter_dataslice_iris.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: scatter_dataslice_iris.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_