I have a loop where i create some plots and I need unique marker for each plot. I think about creating function, which returns random symbol, and use it in my program in this way:
for i in xrange(len(y)): plt.plot(x, y [i], randomMarker())
but I think this way is not good one. I need this just to distinguish plots on legend, because plots must be not connected with lines, they must be just sets of dots.
itertools.cycle will iterate over a list or tuple indefinitely. This is preferable to a function which randomly picks markers for you.
import itertools marker = itertools.cycle((',', '+', '.', 'o', '*')) for n in y: plt.plot(x,n, marker = marker.next(), linestyle='')
import itertools marker = itertools.cycle((',', '+', '.', 'o', '*')) for n in y: plt.plot(x,n, marker = next(marker), linestyle='')
You can use that to produce a plot like this (Python 2.x):
import numpy as np import matplotlib.pyplot as plt import itertools x = np.linspace(0,2,10) y = np.sin(x) marker = itertools.cycle((',', '+', '.', 'o', '*')) fig = plt.figure() ax = fig.add_subplot(111) for q,p in zip(x,y): ax.plot(q,p, linestyle = '', marker=marker.next()) plt.show()
You can also use marker generation by tuple e.g. as
import matplotlib.pyplot as plt markers = [(i,j,0) for i in range(2,10) for j in range(1, 3)] [plt.plot(i, 0, marker = markers[i], ms=10) for i in range(16)]
See Matplotlib markers doc site for details.
In addition, this can be combined with itertools.cycle looping mentioned above