.. _sphx_glr_gallery_lines_bars_and_markers_scatter_masked.py: ============== Scatter Masked ============== .. image:: /gallery/lines_bars_and_markers/images/sphx_glr_scatter_masked_001.png :align: center .. code-block:: python import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np.random.seed(19680801) N = 100 r0 = 0.6 x = 0.9 * np.random.rand(N) y = 0.9 * np.random.rand(N) area = np.pi * (10 * np.random.rand(N))**2 # 0 to 10 point radii c = np.sqrt(area) r = np.sqrt(x * x + y * y) area1 = np.ma.masked_where(r < r0, area) area2 = np.ma.masked_where(r >= r0, area) plt.scatter(x, y, s=area1, marker='^', c=c) plt.scatter(x, y, s=area2, marker='o', c=c) # Show the boundary between the regions: theta = np.arange(0, np.pi / 2, 0.01) plt.plot(r0 * np.cos(theta), r0 * np.sin(theta)) plt.show() **Total running time of the script:** ( 0 minutes 0.020 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: scatter_masked.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: scatter_masked.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_