46 lines
2.0 KiB
Python
46 lines
2.0 KiB
Python
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import pandas as pd
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import matplotlib.pyplot as plt
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import numpy as np
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# file_name = 'result_merge' # result_merge,
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file_name = 'merged_result_Hard_stats_16_states=1318_acts=1269_20240118 000116'
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df = pd.read_csv(file_name+'.csv')
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epoch_num = 15
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y_fontsize = 18 #14
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fontsize = 28 #18
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fig, ax = plt.subplots(figsize=(15,10))
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x = range(epoch_num)
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y = np.arange(0, 500, 100)
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label = ['Hard','Medium','Easy']
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marker = ['o','s','^','+', 'x', ]
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color = ['blue','orange','green'] # green,red orange
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plot_y_index = [5,5,5]
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for i in range(len(df.columns)):
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plt.plot(x, df.iloc[:epoch_num,i], label=label[i],
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marker=marker[i],markersize=10,color=color[i], linewidth=2.8)
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for j,(m, n) in enumerate(zip(x[:plot_y_index[i]], df.iloc[:plot_y_index[i],i])):
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if i==0 and j==0:
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ax.annotate(f'{n:.1f}', xy=(m+0.7, n-10), textcoords="offset points", xytext=(0, 10), ha='center',
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fontsize=y_fontsize)
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elif i==0 and j==1:
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ax.annotate(f'{n:.1f}', xy=(m+0.6, n), textcoords="offset points", xytext=(0, 10), ha='center',
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fontsize=y_fontsize)
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elif i==0 and j==2:
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ax.annotate(f'{n:.1f}', xy=(m+0.05, n), textcoords="offset points", xytext=(0, 10), ha='center',
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fontsize=y_fontsize)
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elif i==0 and j==2:
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ax.annotate(f'{n:.1f}', xy=(m+0.3, n), textcoords="offset points", xytext=(0, 10), ha='center',
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fontsize=y_fontsize)
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else:
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ax.annotate(f'{n:.1f}', xy=(m, n), textcoords="offset points", xytext=(0,10), ha='center',
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fontsize=y_fontsize)
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ax.tick_params(axis='both', which='major', labelsize=fontsize)
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plt.xlabel('Maximum Recursion Depth during Compaction',fontsize=fontsize, labelpad=15)
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plt.ylabel('Condition Node Ticks',fontsize=fontsize, labelpad=15)
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plt.legend(loc=(0.7, 0.7),fontsize=fontsize)
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plt.grid()
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plt.savefig('Merge Result.png', bbox_inches='tight',dpi=300)
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