How to do a scatter plot with empty circles in Python?

From the documentation for scatter:

Optional kwargs control the Collection properties; in particular:    edgecolors:        The string ‘none’ to plot faces with no outlines    facecolors:        The string ‘none’ to plot unfilled outlines

Try the following:

import matplotlib.pyplot as plt import numpy as np x = np.random.randn(60) y = np.random.randn(60)plt.scatter(x, y, s=80, facecolors='none', edgecolors='r')plt.show()

Note: For other types of plots see this post on the use of markeredgecolor and markerfacecolor.

Would these work?

plt.scatter(np.random.randn(100), np.random.randn(100), facecolors='none')

or using plot()

plt.plot(np.random.randn(100), np.random.randn(100), 'o', mfc='none')

Here's another way: this adds a circle to the current axes, plot or image or whatever :

from matplotlib.patches import Circle  # $matplotlib/patches.pydef circle( xy, radius, color="lightsteelblue", facecolor="none", alpha=1, ax=None ):    """ add a circle to ax= or current axes    """        # from .../pylab_examples/ellipse_demo.py    e = Circle( xy=xy, radius=radius )    if ax is None:        ax = pl.gca()  # ax = subplot( 1,1,1 )    ax.add_artist(e)    e.set_clip_box(ax.bbox)    e.set_edgecolor( color )    e.set_facecolor( facecolor )  # "none" not None    e.set_alpha( alpha )

(The circles in the picture get squashed to ellipses because imshow aspect="auto" ).