importnumpyasnpimportmatplotlib.pyplotasplt# Generate some dataX=np.linspace(-10,10,1000)Y=np.sin(X)**2# Specify markersmarkers= ['o','v','^','<','>']defmarkevery(i):# I tried a *lot* of values here, none were working for the 4 plotsreturn (i/50.,0.1)plt.figure()# First plot in normal plotplt.subplot(221)foriinrange(10):plt.plot(X,Y+i/10.,marker=markers[i%len(markers)],markevery=markevery(i),label=str(i))plt.legend()plt.title("plt.plot(): markers are here!")# Then plot in semilogxplt.subplot(222)foriinrange(10):plt.semilogx(X,Y+i/10.,marker=markers[i%len(markers)],markevery=markevery(i),label=str(i))plt.legend()plt.title("plt.semilogx(): markers are NOT here!")# And then semilogyplt.subplot(223)foriinrange(10):plt.semilogy(X,Y+i/10.,marker=markers[i%len(markers)],markevery=markevery(i),label=str(i))plt.legend()plt.title("plt.semilogy(): markers are here!")# Finally plot in loglogplt.subplot(224)foriinrange(10):plt.loglog(X,Y+i/10.,marker=markers[i%len(markers)],markevery=markevery(i),label=str(i))plt.legend()plt.title("plt.loglog(): markers are NOT here!")plt.suptitle("Weird behavior of markevery between plt.plot, plt.semilogx, plt.semilogy, plt.loglog")plt.show()