python - matplotlib scatterplot: adding 4th dimension by the marker shape -

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i add fourth dimension scatter plot defining ellipticity of markers depending on variable. possible somehow ?

edit:

i avoid 3d-plot. in opinion these plots not informative.

you can place ellipse patches directly onto axes, demonstrated in this matplotlib example. adapt use eccentricity "third dimension") keeping marker area constant:

from pylab import figure, show, rand matplotlib.patches import ellipse import numpy np import matplotlib.pyplot plt n = 25  # ellipse centers xy = np.random.rand(n, 2)*10 # ellipse eccentrities eccs = np.random.rand(n) * 0.8 + 0.1  fig = plt.figure() ax = fig.add_subplot(111, aspect='equal')  = 0.1 pos, e in zip(xy, eccs):     # semi-minor, semi-major axes, b , a:     b = np.sqrt(a/np.pi  * np.sqrt(1-e**2))     = / np.pi / b     ellipse = ellipse(xy=pos, width=2*a, height=2*b)     ax.add_artist(ellipse)  ax.set_xlim(0, 10) ax.set_ylim(0, 10)  show()

enter image description here

of course, need scale marker area x-, y- values in case.


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