#ADD LEGEND TO SCATTER PLOT MATPLOTLIB CODE#

To specify the markerstyle you can include this as a positional argument in the method call, as seen in the example below. To plot a scatter in 3D, use the plot method, as the legend does not support Patch3DCollection as is returned by the scatter method of an Axes3D instance. import matplotlib.pyplot as plt from numpy.random import random colors = lo = plt.scatter(random(10), random(10), marker='x', color=colors) ll = plt.scatter(random(10), random(10), marker='o', color=colors) l = plt.scatter(random(10), random(10), marker='o', color=colors) a = plt.scatter(random(10), random(10), marker='o', color=colors) h = plt.scatter(random(10), random(10), marker='o', color=colors) hh = plt.scatter(random(10), random(10), marker='o', color=colors) ho = plt.scatter(random(10), random(10), marker='x', color=colors) plt.legend((lo, ll, l, a, h, hh, ho), ('Low Outlier', 'LoLo', 'Lo', 'Average', 'Hi', 'HiHi', 'High Outlier'), scatterpoints=1, loc='lower left', ncol=3, fontsize=8) plt.show()

#ADD LEGEND TO SCATTER PLOT MATPLOTLIB CODE#

In the code below I've used random values rather than plotting the same range over and over, making all the plots visible (i.e. Also, if you are using scatter plots, use scatterpoints=1 rather than numpoints=1 in the legend call to have only one point for each legend entry.

Using the scatter method of the matplotlib.pyplot module should work (at least with matplotlib 1.2.1 with Python 2.7.5), as in the example code below.

Add legend to scatter plot matplotlib