133 lines
6.5 KiB
Python
133 lines
6.5 KiB
Python
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import numpy as np
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from numpy import genfromtxt
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import matplotlib.pyplot as plt
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import argparse
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import pathlib
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def main(args):
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if args.task_type == 'new_test_task':
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user = 9
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N = 1
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if args.task_type == 'test_task':
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user = 92
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N = 1
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rate = 100
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widths = [-0.1, 0, 0.1]
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user_table = [6, 13, 15, 19, 20, 23, 27, 30, 33, 44, 46, 49, 50, 51, 52, 53, 54, 56, 65, 71, 84]
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# read data
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model_data_list = []
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user_list = []
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if not args.plot_user_list:
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for i in range(user):
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path = "result/"+args.task_type+"/user"+str(user)+"/"+args.loss_type+"/N"+ str(N) + "/" + args.model_type + "_N" + str(N) + "_result_" + str(rate) + "_user" + str(i) +".csv"
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data = genfromtxt(path, delimiter=',', skip_header =1)
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data = data[[1,2,3,5,6,7,9,10,11],:][:,[2,4,6,7]]
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model_data_list.append(data)
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if args.task_type == 'test_task':
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user_list.append(np.transpose(data[:,[0]]))
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else:
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for i in range(user):
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for t in user_table:
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if t == i+1:
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path = "result/"+args.task_type+"/user"+str(user)+"/"+args.loss_type+"/N"+ str(N) + "/" + args.model_type + "_N" + str(N) + "_result_" + str(rate) + "_user" + str(i) +".csv"
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data = genfromtxt(path, delimiter=',', skip_header =1)
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data = data[[1,2,3,5,6,7,9,10,11],:][:,[2,4,6,7]]
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model_data_list.append(data)
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user_list.append(np.transpose(data[:,[0]]))
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color = ['royalblue', 'lightgreen', 'tomato']
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legend = ['put fridge', 'put\n dishwasher', 'read book']
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fig, axs = plt.subplots(3, sharex=True, sharey=True)
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fig.set_figheight(10) # all sample rate: 10; 3 row: 8
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fig.set_figwidth(20)
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for ax in range(3):
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y_total = []
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y_low_total = []
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y_high_total = []
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for j in range(3):
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y= []
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y_low = []
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y_high = []
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for i in range(len(model_data_list)):
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y.append(model_data_list[i][j+ax*3][0])
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y_low.append(model_data_list[i][j+ax*3][2])
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y_high.append(model_data_list[i][j+ax*3][3])
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y_total.append(y)
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y_low_total.append(y_low)
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y_high_total.append(y_high)
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print()
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print("user mean of mean prob: ", np.mean(y))
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print("user mean of sd prob: ", np.std(y))
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for i in range(3):
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if args.plot_type == 'line':
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axs[ax].plot(range(user), y_total[i], color=color[i], label=legend[i])
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axs[ax].fill_between(range(user), y_low_total[i], y_high_total[i], color=color[i],alpha=0.3 )
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if args.plot_type == 'bar':
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if args.task_type == 'new_test_task':
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widths = [-0.25, 0, 0.25]
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yerror = [np.array(y_total[i])-np.array(y_low_total[i]), np.array(y_high_total[i])-np.array(y_total[i])]
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axs[0].text(-0.19, 0.9, 'True Intention:', horizontalalignment='center', verticalalignment='center', transform=axs[0].transAxes, fontsize= 36)
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axs[ax].bar(np.arange(user)+widths[i],y_total[i], width=0.2, yerr=yerror, color=color[i], label=legend[i])
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axs[ax].tick_params(axis='x', which='both', pad=15, length=0)
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plt.xticks(range(user), range(1,user+1))
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axs[ax].set_ylabel('prob', fontsize= 36) # was 22
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axs[ax].text(-0.19, 0.5, legend[ax], horizontalalignment='center', verticalalignment='center', transform=axs[ax].transAxes, fontsize= 36, color=color[ax])
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plt.xlabel('user', fontsize= 40) # was 22
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for k, x in enumerate(np.arange(user)+widths[i]):
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y = y_total[i][k] + yerror[1][k]
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axs[ax].annotate(f'{y_total[i][k]:.2f}', (x, y), textcoords='offset points', xytext=(-15, 3), fontsize=14)
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if args.task_type == 'test_task':
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if not args.plot_user_list:
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axs[0].text(-0.19, 0.9, 'True Intention:', horizontalalignment='center', verticalalignment='center', transform=axs[0].transAxes, fontsize= 36)
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axs[ax].errorbar(np.arange(user)+widths[i],y_total[i], yerr=[np.array(y_total[i])-np.array(y_low_total[i]), np.array(y_high_total[i])-np.array(y_total[i])],markerfacecolor=color[i], ecolor=color[i], markeredgecolor=color[i], label=legend[i],fmt='.k')
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axs[ax].tick_params(axis='x', which='both', pad=15, length=0)
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plt.xticks(range(user)[::5], range(1,user+1)[::5])
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axs[ax].set_ylabel('prob', fontsize= 36)
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axs[ax].text(-0.19, 0.5, legend[ax], horizontalalignment='center', verticalalignment='center', transform=axs[ax].transAxes, fontsize= 36, color=color[ax])
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plt.xlabel('user', fontsize= 40)
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else:
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axs[0].text(-0.19, 0.9, 'True Intention:', horizontalalignment='center', verticalalignment='center', transform=axs[0].transAxes, fontsize= 36)
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axs[ax].errorbar(np.arange(len(model_data_list))+widths[i],y_total[i], yerr=[np.array(y_total[i])-np.array(y_low_total[i]), np.array(y_high_total[i])-np.array(y_total[i])],markerfacecolor=color[i], ecolor=color[i], markeredgecolor=color[i], label=legend[i],fmt='.k')
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axs[ax].tick_params(axis='x', which='both', pad=15, length=0)
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plt.xticks(range(len(model_data_list)), user_table)
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axs[ax].set_ylabel('prob', fontsize= 36)
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#axs[ax].set_yticks(range(0.0,1.0, 0.25))
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axs[ax].text(-0.19, 0.5, legend[ax], horizontalalignment='center', verticalalignment='center', transform=axs[ax].transAxes, fontsize= 36, color=color[ax])
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plt.xlabel('user', fontsize= 40)
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axs[ax].tick_params(axis='both', which='major', labelsize=30)
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handles, labels = axs[0].get_legend_handles_labels()
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plt.ylim([0, 1.08])
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plt.tight_layout()
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pathlib.Path("result/"+args.task_type+"/user"+str(user)+"/"+args.loss_type+"/figure/").mkdir(parents=True, exist_ok=True)
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if args.task_type == 'test_task':
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if not args.plot_user_list:
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plt.savefig("result/"+args.task_type+"/user"+str(user)+"/"+args.loss_type+"/figure/"+"N"+ str(N)+"_"+args.model_type+"_rate_"+str(rate)+"_"+args.plot_type+"_test_set_1.png", bbox_inches='tight')
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else:
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plt.savefig("result/"+args.task_type+"/user"+str(user)+"/"+args.loss_type+"/figure/"+"N"+ str(N)+"_"+args.model_type+"_rate_"+str(rate)+"_"+args.plot_type+"_test_set_1_user_analysis.png", bbox_inches='tight')
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if args.task_type == 'new_test_task':
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plt.savefig("result/"+args.ask_type+"/user"+str(user)+"/"+args.loss_type+"/figure/"+"N"+ str(N)+"_"+args.model_type+"_rate_"+str(rate)+"_"+args.plot_type+"_test_set_2.png", bbox_inches='tight')
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plt.show()
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='')
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parser.add_argument('--loss_type', type=str, default='ce')
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parser.add_argument('--model_type', type=str, default="lstmlast" )
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parser.add_argument('--plot_type', type=str, default='bar') # bar or line
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parser.add_argument('--task_type', type=str, default='test_task')
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parser.add_argument('--plot_user_list', action='store_true') # plot user_table or not
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args = parser.parse_args()
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main(args)
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