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import os
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import pyecharts
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from pyecharts.charts import Line
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from pyecharts import options as opts
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from pyecharts.globals import ThemeType
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if __name__ == '__main__':
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dir_path = r'E:\Data\Research\Outcome\Walmart-Amazon_dirty'
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filename_list = os.listdir(dir_path)
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iter_list = []
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precision = []
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recall = []
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f1 = []
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interpretability = []
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performance = []
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for _ in filename_list:
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if _.startswith('eval_result'):
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it = int(_[12:13])
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iter_list.append(str(it))
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with open(dir_path + '\\' + _, 'r') as f:
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# 读取每一行的md，加入该文件的md列表
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for line in f.readlines():
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if line.startswith('Precision'):
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lt = line.split(' ')
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value = float(lt[2].replace('%', ''))/100
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precision.append(value)
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elif line.startswith('Recall'):
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lt = line.split(' ')
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value = float(lt[2].replace('%', ''))/100
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recall.append(value)
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elif line.startswith('F1'):
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lt = line.split(' ')
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value = float(lt[2].replace('%', ''))/100
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f1.append(value)
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elif line.startswith('interpretability'):
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lt = line.split(':')
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value = float(lt[1])
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interpretability.append(value)
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elif line.startswith('performance'):
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lt = line.split(':')
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value = float(lt[1])
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performance.append(value)
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line = (
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Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
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.add_xaxis(iter_list)
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.add_yaxis('Precision', precision)
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.add_yaxis('Recall', recall)
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.add_yaxis('F1', f1)
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.add_yaxis('Interpretability', interpretability)
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.add_yaxis('Performance', performance)
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.set_global_opts(title_opts=opts.TitleOpts(title=dir_path.split('\\')[-1]))
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)
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line.render(dir_path + '\\' + "line.html")
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