f=open('test.txt','a+',encoding='utf-8') for index,row in cxzg.iterrows(): text=str(row['text']) text=text.encode('gb18030','ignore').decode('gbk','ignore') qgdict=client.sentimentClassify(text) if 'items' in qgdict: qg=qgdict['items'][0] qgsen=qg["s