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遗传阴性描述修改

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chaopower 2023-08-02 10:57:54 +08:00
parent f641c8f627
commit 918fa6db0f
1 changed files with 4 additions and 4 deletions
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8
tools/parsexlsx.py
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@ -214,15 +214,15 @@ class Parse(BaseAssignment):
:return: :return:
""" """
hereditary = pd.DataFrame(self.sampledata['hereditary']) hereditary = pd.DataFrame(self.sampledata['hereditary'])
result = '/' result = '未检出相关突变'
disease = '/' disease = '未检出'
risk = '/' risk = '风险同一般人群'
if not hereditary.empty: if not hereditary.empty:
result = '|'.join(hereditary.apply(lambda x: '%s %s' % (x['基因'], x['检测结果']), axis=1).to_list()) result = '|'.join(hereditary.apply(lambda x: '%s %s' % (x['基因'], x['检测结果']), axis=1).to_list())
disease = '|'.join(hereditary['遗传性肿瘤综合征'].to_list()) disease = '|'.join(hereditary['遗传性肿瘤综合征'].to_list())
hereditary_risk = pd.DataFrame(self.sampledata['hereditary_risk']) hereditary_risk = pd.DataFrame(self.sampledata['hereditary_risk'])
if not hereditary_risk.empty: if not hereditary.empty:
risk = ','.join(hereditary_risk[hereditary_risk['风险值'] == '偏高']['肿瘤类型'].to_list()) + '风险可能较高' risk = ','.join(hereditary_risk[hereditary_risk['风险值'] == '偏高']['肿瘤类型'].to_list()) + '风险可能较高'
self.result['hereditary'] = hereditary.to_dict('records') self.result['hereditary'] = hereditary.to_dict('records')