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examine2mark.py

+from enum import EnumMeta
+from numpy import NaN
+import pandas as pd
+import json
+import re
+src=pd.read_csv("李巍.csv",encoding="gb18030")
+series_id=src['序列号'].values.tolist()
+imagecnt=src['影像结果'].values.tolist()
+src_density_type=src['肺结节类型'].values.tolist()
+focus=[]
+tools=[]
+diy=[]
+filetype=[]
+cnt=[]
+for i,txt in enumerate(imagecnt):
+    focus.append("ANNO3")
+    tools.append("CUBOID")
+    diy.append("")
+    filetype.append("")
+    text=json.loads(txt)
+    tmp="{\"lesionId\":0,\"position\":"+str(text['position'])+"}"
+    cnt.append(tmp)
+    
+output=pd.DataFrame({"序列号":series_id,"病灶":focus,"影像工具":tools,"影像结果":cnt,"自定义内容":diy,"文件类型":filetype,"肺结节类型":src_density_type})
+output.to_csv("李巍_output.csv",index=False,encoding="utf_8_sig")
+