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@@ -92,6 +92,7 @@ def put_analysis_report_to_html(args, df_predict, df_accuracy):
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label = args['label']
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label_pre = args['label_pre']
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farmId = args['farmId']
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+ points = args['points'].split(',')
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acc_flag = df_accuracy.shape[0]
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# 获取所有的模型
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models = df_predict['model'].unique()
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@@ -114,7 +115,7 @@ def put_analysis_report_to_html(args, df_predict, df_accuracy):
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df_predict = df_predict.applymap(lambda x: float(x.to_decimal()) if isinstance(x, Decimal128) else float(x) if isinstance(x, numbers.Number) else x).sort_values(by=col_time)
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if acc_flag > 0:
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df_accuracy = df_accuracy.applymap(lambda x: float(x.to_decimal()) if isinstance(x, Decimal128) else float(x) if isinstance(x, numbers.Number) else x).sort_values(by=col_time)
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- figs = [create_fig(df_predict, col_time, label, label_pre, p) for p in [1, 8, 16, 17]]
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+ figs = [create_fig(df_predict, col_time, label, label_pre, p) for p in points]
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# 将折线图保存为 HTML 片段
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power_htmls = [pio.to_html(f, full_html=False) for f in figs]
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power_htmls = ["<div class='plot-container'>{}</div>".format(html) for html in power_htmls]
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David