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Given the following: import matplotlib.pyplot as plt import numpy as np #http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter x = np.random.randn(60) y = np.random.randn(60) x2 = np.random.randn(60) y2 = np.random.randn(60) plt.plot(x, y, marker='o', markeredgecolor='r', linestyle='none', markerfacecolor='none') plt.plot(x2, y2, marker='o', markeredgecolor='r', linestyle='none', markerfacecolor='none') plt.show() I'd like for x2 and y2 to be plotted as dashed (or even dotted) circles. I am avoiding the use of plt.scatter because the rest of my script works with plt.plot much better. Here's what I'm looking for: Thanks in advance! FYI: Here's the actual chart I created. I just used hexagons for now to signify the different data (future data). The custom legend and plotting over groups of rows in a pandas Data Frame add layers of complexity that I couldn't overcome with plt.scatter. 解决方案 You can use the dotted circle (ur'$\u25CC$') from the STIX font (pdf with all symbols here) using mathtext functionality plt.plot(x, y, marker=ur'$\u25CC$', markerfacecolor='r', markeredgecolor='r', markersize=30, linestyle='none', ) Note, that markerfacecolor is set to a color as well. A drawback is that they need a certain size to be distinguishable from a closed circle. |
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