On 07/26/2010 08:18 PM, Timothy Vickery wrote:
Hi everyone,I'm new to matplotlib, and I would like to create a typical plot of a timecourse (markers connected by lines), with the markers varying in size and/or style according to a separate set of data that corresponds to each timepoint. However, my understanding is that plot() will not accept an array of marker sizes, only a single float value that is applied to all markers. On the other hand, scatter() does allow variably-sized markers (as in the scatter_demo2.py example). However, there does not seem to be a straightforward way to add lines to this plot connecting markers in sequence. Can anyone recommend a work-around to this issue, or point out if I've missed something in the documentation? Thanks, Tim
You could use plot and scatter on the same plot. See the attached example. #------------------------------------------- import numpy as np import matplotlib.pyplot as plt N = 100 x = np.linspace(-10.0,10.0,N) y = 50.0*np.exp(-x**2) size = 100.0*np.abs(np.sin(x)) plt.plot(x,y) plt.scatter(x,y,s=size) plt.show() #------------------------------------------- Regards, João Luís
#!/usr/bin/env python import numpy as np import matplotlib.pyplot as plt N = 100 x = np.linspace(-10.0,10.0,N) y = 50.0*np.exp(-x**2) size = 100.0*np.abs(np.sin(x)) plt.plot(x,y) plt.scatter(x,y,s=size) plt.show()
<<attachment: plot_and_scatter.png>>
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