.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_intro_matplotlib_auto_examples_pretty_plots_plot_scatter_ext.py: Plot scatter decorated ======================= An example showing the scatter function, with decorations. .. image:: /intro/matplotlib/auto_examples/pretty_plots/images/sphx_glr_plot_scatter_ext_001.png :class: sphx-glr-single-img .. code-block:: python import numpy as np import matplotlib.pyplot as plt n = 1024 X = np.random.normal(0, 1, n) Y = np.random.normal(0, 1, n) T = np.arctan2(Y,X) plt.scatter(X, Y, s=75, c=T, alpha=.5) plt.xlim(-1.5, 1.5) plt.xticks([]) plt.ylim(-1.5, 1.5) plt.yticks([]) # Add a title and a box around it from matplotlib.patches import FancyBboxPatch ax = plt.gca() ax.add_patch(FancyBboxPatch((-0.05, .87), width=.66, height=.165, clip_on=False, boxstyle="square,pad=0", zorder=3, facecolor='white', alpha=1.0, transform=plt.gca().transAxes)) plt.text(-0.05, 1.02, " Scatter Plot: plt.scatter(...)\n", horizontalalignment='left', verticalalignment='top', size='xx-large', transform=plt.gca().transAxes) plt.text(-0.05, 1.01, "\n\n Make a scatter plot of x versus y ", horizontalalignment='left', verticalalignment='top', size='large', transform=plt.gca().transAxes) plt.show() **Total running time of the script:** ( 0 minutes 0.014 seconds) .. _sphx_glr_download_intro_matplotlib_auto_examples_pretty_plots_plot_scatter_ext.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: plot_scatter_ext.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_scatter_ext.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_