镜像自地址
https://github.com/xming521/CTAI.git
已同步 2025-12-06 06:36:49 +00:00
37 行
930 B
Python
37 行
930 B
Python
import matplotlib.pyplot as plt
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import numpy as np
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data = []
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data_true = []
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with open('../result/0.50nohup50.txt', 'r') as f:
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data = [i.replace('\n', '') for i in f.readlines()]
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for i in range(len(data)):
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if i % 3 == 0:
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x = data[i].split(' ')
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data_true.append([x[2].replace('test', '').replace('train_loss:', ''), x[-1]])
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print(data_true)
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ax = plt.gca()
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plt.rcParams['savefig.dpi'] = 300 # 图片像素
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plt.rcParams['figure.dpi'] = 200 # 分辨率
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# plt.plot(range(1,51), np.squeeze([i[0] for i in data_true]), label='Train loss')
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# plt.ylabel('loss')
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# plt.xlabel('epochs')
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# plt.title("Model: train loss")
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# plt.legend()
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# plt.show()
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ax.invert_yaxis()
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plt.plot(range(1, 51), np.squeeze([i[0] for i in data_true]), label='Train loss')
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plt.ylabel('loss')
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plt.xlabel('epochs')
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plt.title("Model: train loss")
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plt.legend()
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# plt.show()
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plt.savefig('plot123_2.png', dpi=200) # 指定分辨率保存
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