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我需要一些快速帮助来绘制我为代码获得的答案。我对此很新，但是，我试图计算出计算结果的标准偏差，之后我需要绘制刚刚在图形中执行的标准偏差计算的新答案。问题是在执行计算之前出现的图只是给出一个空的图，然后考虑到代码的运行。任何帮助将不胜感激。标准偏差Python绘图
from numpy import zeros
from random import choice, random
import math
def create_lattice(nx,ny):
possibleSpins = (-1,1)
lattice = zeros((nx,ny))
for i in range(nx):
for j in range(ny):
lattice[i][j] = choice(possibleSpins)
return lattice
def magnetization(nx, ny, lattice):
magnet = 0.0
for i in range(nx):
for j in range(ny):
magnet += (lattice[i][j]/(nx*ny))
return magnet
def ising_model(nsweeps, nx, ny, Js):
magnet = 0.0
s_energy = 0.0
e_energy = 0.0
d_energy = 0.0
spin = 0.0
rand = 0.0
good = 0.0
bad = 0.0
nostep = 0.0
lattice = create_lattice(nx, ny)
magnet = magnetization(nx, ny, lattice)
energies = zeros((nx,ny))
print(lattice)
# Each sweep is a complete look at the lattice
for sweeps in range(nsweeps):
for i in range(nx):
for j in range(ny):
spin = lattice[i][j]
s_energy = -1 * Js * spin * (lattice[(i-1)][j] + lattice[i][(j-1)] + lattice[i][(j+1)%ny] + lattice[(i+1)%nx][j])
lattice[i][j] = -1 * spin
e_energy = -1 * Js * lattice[i][j] * (lattice[(i-1)][j] + lattice[i][(j-1)] + lattice[i][(j+1)%ny] + lattice[(i+1)%nx][j])
d_energy = e_energy - s_energy
rand = random()
if d_energy <= 0 :
good = good + 1
magnet += ((-2*spin)/(nx*ny))
answers.append(magnet)
elif d_energy > 0 and rand <= math.exp(-1 * d_energy):
bad = bad + 1
magnet += ((-2*spin)/(nx*ny))
answers.append(magnet)
else:
lattice[i][j] = spin
nostep = nostep + 1
print(magnet)
print(lattice)
print(good)
print(bad)
print(nostep)
# energies array is
return energies
answers = []
stdofmag = []
def standard_deviation():
stdmag = statistics.stdev(answers)
print(stdmag)
stdofmag.append(stdmag)
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot(stdofmag, 'r-', label = "Std of Magnetization")
title_temp = "Magnetization"
plt.title(title_temp, fontsize=12, fontweight='bold', color='green')
ax.legend(loc='best', ncol=1, fancybox=True, shadow=True)
plt.xlabel('Number of Iterations')
plt.ylabel('Answer')
ax.grid(True)
plt.show(block=True)
不考虑x和y标签他们是虚拟变量。