线条样式，标记和定性颜色的组合，来自matplotlib：

import itertools

import matplotlib as mpl

import matplotlib.pyplot as plt

N = 8*4+10

l_styles = ['-','--','-.',':']

m_styles = ['','.','o','^','*']

colormap = mpl.cm.Dark2.colors   # Qualitative colormap

for i,(marker,linestyle,color) in zip(range(N),itertools.product(m_styles,l_styles, colormap)):

plt.plot([0,1,2],[0,2*i,2*i], color=color, linestyle=linestyle,marker=marker,label=i)

plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.,ncol=4);

更新：不仅支持ListedColormap，还支持LinearSegmentedColormap

import itertools

import matplotlib.pyplot as plt

Ncolors = 8

#colormap = plt.cm.Dark2# ListedColormap

colormap = plt.cm.viridis# LinearSegmentedColormap

Ncolors = min(colormap.N,Ncolors)

mapcolors = [colormap(int(x*colormap.N/Ncolors)) for x in range(Ncolors)]

N = Ncolors*4+10

l_styles = ['-','--','-.',':']

m_styles = ['','.','o','^','*']

fig,ax = plt.subplots(gridspec_kw=dict(right=0.6))

for i,(marker,linestyle,color) in zip(range(N),itertools.product(m_styles,l_styles, mapcolors)):

ax.plot([0,1,2],[0,2*i,2*i], color=color, linestyle=linestyle,marker=marker,label=i)

ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.,ncol=3,prop={'size': 8})