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I am probably missing something obvious. I'm plotting the data contained in the columns of a matrix in a single call using

plot(x,A)

where is x is a 1D numpy arange with a length equal to the number of rows of A. The lineplots this generates are all full lines with a color cycling through the default color cycle set in matplotlib.rc

I know I can modify the color cycle (and can even have a single color and linestyle for all columns). However how can I only cycle the line styles (say through full, dashed, dash-dotted, dotted) and not the color (I want to keep it black) and still keep the simple SINGLE plot call ?

plot(x,A,['k-','k--','k-.','k:'])

doesn't work.

Mathias Vanwolleghem
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1 Answers1

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The related source is in class _process_plot_var_args() in axes.py, as you can see, only the color cycle is defined. A similar linestyle cycle is not possible.

Therefore we need to do these:

A=range(10)
B=np.random.randn(10,12)
p_list=plt.plot(A, B)
line_cycle=['-','--','-.',':']
_=[l.set_linestyle(st) for l, st in zip(p_list, np.repeat(line_cycle, 1+(len(p_list)/len(line_cycle))))]

enter image description here

CT Zhu
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  • thx! and also nice of teaching me the use of `_` assignment. That is a nice way to keep the compactness of the generator expression without creating unnecessary variables. I didnt know that one. – Mathias Vanwolleghem Apr 11 '14 at 08:55