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  1. POmatplotlib: ugly plots when using markers
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    <p>I have a little problem. I have a program that will draw wave function for a potential, and it looks fine when I use the option in plot (using pylab) '-' for instance: <a href="http://img41.imageshack.us/img41/8798/59138635.png" rel="nofollow">http://img41.imageshack.us/img41/8798/59138635.png</a></p> <p>If I use 'o' i'll get: <a href="http://img16.imageshack.us/img16/3741/22378006.png" rel="nofollow">http://img16.imageshack.us/img16/3741/22378006.png</a></p> <p>You see that it looks ugly :\</p> <p>Is there a simple way to make the circles more spaced, or does that depends on the details of the code?</p> <p>The code is:</p> <pre><code>from math import * from scipy.special import * from pylab import * from scipy.linalg import * firebrick=(178./255.,34./255.,34./255.) indianred=(176./255.,23./255.,31./255.) steelblue=(70./255.,130./255.,180./255.) slategray1=(198./255.,226./255.,255./255.) slategray4=(108./255.,123./255.,139./255.) lavender=(230./255.,230./255.,230./255.) cobalt=(61./255.,89./255.,171./255.) midnightblue=(25./255.,25./255.,112./255.) forestgreen=(34./255.,139./255.,34./255.) #grid Nmesh=512 L=4.0 dx=L/Nmesh Xmax=L x=arange(-L,L+0.0001,dx) Npts=len(x) numwav=2 #number of wave function that is being drawn V=zeros([Npts],float) for i in range(Npts): V[i]=x[i]**4 a=zeros([2,Npts-2],float) wave=zeros([Npts],float) wave1=zeros([Npts],float) encor=3.0/4*(3.0/4)**(1.0/3) #numerical solution for i in range(1,Npts-1,1): a[0,i-1]= 1.0/dx**2+V[i] #diagonal elements a[1,i-1]=-1.0/dx**2/2 #the elements below the diagonal a[1,Npts-3]=-99.0 #element is not used eig,vec=eig_banded(a,lower=1) #routine that diagonalizes the tridiagonal matrix for i in range(1,Npts-1,1): wave[i]=vec[i-1,numwav] wave[0]=0.0 #wave function has the value zero on the first point on the grid wave[Npts-1]=0.0 #wave function has the value zero on the last point on the grid wave=150*wave+eig[numwav] #potential graph line=plt.plot(x,V) plt.setp(line,color='firebrick',linewidth=2) #plot of the selected level and wave function plt.axhline(y=eig[numwav],linewidth=2,color='steelblue') #plot of the points of the wave function plt.plot(x,wave,"b-",linewidth=2,color='forestgreen') plt.xlabel('x',size=16) plt.ylabel('V(x)',size=16) plt.axis([-4.0,4.0,-5.0,16.0]) #x and y axes range plt.grid(True) plt.show() </code></pre>
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