添加一个循环以获得结果 'n' 次并将平均值放入 csv - Python
Adding a loop to get result 'n' times and get the average into a csv - Python
我写了一个python函数用于粒子过滤。我需要为以下函数编写一个循环,以保存 csv 文件的最佳成本(变量)并获得平均值。
#loop should start here
pop_size=50
#128 to #135 loop
W = initial_population(region, scale , pop_size)
pop = PatternPosePopulation(W, pat)
pop.set_distance_image(imd)
pop.temperature = 5
Lw, Lc = pop.particle_filter_search(int(1000/pop_size),log=True)
#Loop should end here for example run pop 50 x n times and store best_cost, take average of bestcost save to csv file.
plt.plot(Lc)
plt.title('Cost vs generation index')
plt.show()
print(pop.best_w)
print(pop.best_cost)
如有任何帮助,我们将不胜感激。
best_costs = []
for iteration in range(n):
pop_size=50
W = initial_population(region, scale , pop_size)
pop = PatternPosePopulation(W, pat)
pop.set_distance_image(imd)
pop.temperature = 5
Lw, Lc = pop.particle_filter_search(int(1000/pop_size),log=True)
best_costs.append(pop.best_cost)#store the best cost for this iteration
#Loop should end here for example run pop 50 x n times and store best_cost, take average of bestcost save to csv file.
plt.plot(Lc)
plt.title('Cost vs generation index')
plt.show()
print(pop.best_w)
print(pop.best_cost)
#write to csv
best_cost_total = min(best_costs)
best_cost_avg = sum(best_costs) / n
results = [str(best_cost_total), str(best_cost_avg)]
with open('results.csv', 'w') as f:
f.write(";".join(results))
这会将最佳成本和平均值写入 results.csv
,并以 ;
作为分隔符。对于更具体的方法,需要更多信息...
编辑:你说得对,写入csv部分应该在循环之后
我写了一个python函数用于粒子过滤。我需要为以下函数编写一个循环,以保存 csv 文件的最佳成本(变量)并获得平均值。
#loop should start here
pop_size=50
#128 to #135 loop
W = initial_population(region, scale , pop_size)
pop = PatternPosePopulation(W, pat)
pop.set_distance_image(imd)
pop.temperature = 5
Lw, Lc = pop.particle_filter_search(int(1000/pop_size),log=True)
#Loop should end here for example run pop 50 x n times and store best_cost, take average of bestcost save to csv file.
plt.plot(Lc)
plt.title('Cost vs generation index')
plt.show()
print(pop.best_w)
print(pop.best_cost)
如有任何帮助,我们将不胜感激。
best_costs = []
for iteration in range(n):
pop_size=50
W = initial_population(region, scale , pop_size)
pop = PatternPosePopulation(W, pat)
pop.set_distance_image(imd)
pop.temperature = 5
Lw, Lc = pop.particle_filter_search(int(1000/pop_size),log=True)
best_costs.append(pop.best_cost)#store the best cost for this iteration
#Loop should end here for example run pop 50 x n times and store best_cost, take average of bestcost save to csv file.
plt.plot(Lc)
plt.title('Cost vs generation index')
plt.show()
print(pop.best_w)
print(pop.best_cost)
#write to csv
best_cost_total = min(best_costs)
best_cost_avg = sum(best_costs) / n
results = [str(best_cost_total), str(best_cost_avg)]
with open('results.csv', 'w') as f:
f.write(";".join(results))
这会将最佳成本和平均值写入 results.csv
,并以 ;
作为分隔符。对于更具体的方法,需要更多信息...
编辑:你说得对,写入csv部分应该在循环之后