修改财务得分结构
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@ -1,3 +1,5 @@
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import pandas as pd
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from Rating.db import find_threshold
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from common.scripts import file_path, read_json_file
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@ -43,9 +45,28 @@ def financial_score(level_1_industry, param2):
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else:
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score = 0
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scores[key] = round(score, 2)
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scores['合计'] = round(sum(scores.values()), 2)
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return scores
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result = dict()
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fin1 = ['净资产收益率', '总资产报酬率']
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fin2 = ['总资产周转率', '应收账款周转率', '存货周转率']
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fin3 = ['资产负债率', '已获利息倍数', '速动比率']
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fin4 = ['营业增长率', '总资产增长率', '技术投入比率']
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result['盈利能力'] = dict((key, value) for key, value in scores.items() if key in fin1)
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result['资产质量'] = dict((key, value) for key, value in scores.items() if key in fin1)
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result['债务风险'] = dict((key, value) for key, value in scores.items() if key in fin1)
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result['经营增长'] = dict((key, value) for key, value in scores.items() if key in fin1)
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df_scores = pd.DataFrame([scores])
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result['盈利能力']['合计'] = float(df_scores[fin1].sum(axis=1).values[0])
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result['资产质量']['合计'] = float(df_scores[fin2].sum(axis=1).values[0])
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result['债务风险']['合计'] = float(df_scores[fin3].sum(axis=1).values[0])
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result['经营增长']['合计'] = float(df_scores[fin4].sum(axis=1).values[0])
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result['合计'] = round(sum(scores.values()), 2)
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return result
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def linear_correlation_type(value, standard_score, refer1, refer2):
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@ -1,6 +1,6 @@
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{
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"评价ID": "kSVoCeJ1",
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"企业ID": "mKJreZRw",
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"评价ID": "bR2n0mV0",
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"企业ID": "cqqHE80f",
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"企业名称": "远东资信评估有限公司",
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"行业选择": ["制造业", "电子工业"],
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"评价年度": "2021年",
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