我正在尝试为不同的 mu 和 sigma 值绘制线图(漂移布朗运动),我有一个函数可以迭代可能的 mu 值和可能的 sigma 值的列表,然后它应该返回结果图。问题是我不确定如何使subplots返回所需的行数。我给了它正确的nrows,ncols但问题出在索引上。有没有人有办法解决这个问题?我在下面提供了代码和错误消息,# Drifted BM for varying values mu and sigma respectivelydef DriftedBMTest2(nTraj=50,T=5.0,dt=0.01,n=5, sigma = [0.1,1.0,2], mulist=[0,0.5,1,1.5], ValFSize=(18,14)): nMu = len(mulist) nSigma = len(mulist) # Discretize, dt = time step = $t_{j+1}- t_{j}$ dt = T/(n-1) # Loop on different value sigma for z in range(nSigma): # Loop on different value Mu for k in range(nMu): n=int(T/dt) x=np.zeros(n+1,float) # Create plot space temp = nSigma*nMu/2 plt.subplot(temp,2,k+1) plt.title("Drifted BM $\sigma$={}, $\mu$={}".format(sigma[z],mulist[k])) plt.xlabel(r'$t$') plt.ylabel(r'$W_t$'); # Container for colours for each trajectory colors = plt.cm.jet(np.linspace(0,1,nTraj)) # Generate many trajectories for j in range(nTraj): # Time simulation # Add the time * constant(mu) for i in range(n): x[i+1]=x[i]+np.sqrt(dt)*np.random.randn() + i*mulist[k] # Scale Each Tradjectory x = x * sigma[z] # Plot trajectory just computed plt.plot(np.linspace(0,T,n+1),x,'b-',alpha=0.3, color=colors[j], lw=3.0)DriftedBMTest2( sigma = [1,2], mulist=[-2,1] )然后我得到前两个图,但不是全部,以及下面的错误。MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.抱歉,如果这是一个不好的问题,我是 Python 新手,但我们将不胜感激。
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翻过高山走不出你
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尝试fig = plt.figure()在两个 for 循环之间添加
for z in range(nSigma):
# Loop on different value Mu
fig = plt.figure() # <---- Line added here
for k in range(nMu):
如果这不能提供所需的布局,您可以尝试将其移动到内部 for 循环
for z in range(nSigma):
# Loop on different value Mu
for k in range(nMu):
fig = plt.figure() # <---- Line added here
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