@wywy1995 大佬，看下这段代码 ``` def get_hot_concept(dct, date): # 计算出现涨停最多的概念 concept_count = {} for key in dct: for i in dct[key]['jq_concept']: if i['concept_name'] in concept_count.keys(): concept_count[i['concept_name']] += 1 else: if i['concept_name'] not in ['转融券标的', '融资融券', '深股通', '沪股通']: concept_count[i['concept_name']] = 1 df = pd.DataFrame(list(concept_count.items()), columns=['concept_name','concept_count']) df = df.set_index('concept_name') df = df.sort_values(by='concept_count', ascending=False) max_num = df.iloc[0,0] df = df[df['concept_count'] == max_num] concept = list(df.index)[0] return concept ``` 这里输出的hot concept数量为一，如果涨停最多的概念有多个，似乎不太合理，我把这个函数和筛选股票的函数都做了一下修改 ``` def get_hot_concept(dct, date): # 计算出现涨停最多的概念 concept_count = {} for key in dct: for i in dct[key]['jq_concept']: if i['concept_name'] in concept_count.keys(): concept_count[i['concept_name']] += 1 else: if i['concept_name'] not in ['转融券标的', '融资融券', '深股通', '沪股通']: concept_count[i['concept_name']] = 1 df = pd.DataFrame(list(concept_count.items()), columns=['concept_name','concept_count']) df = df.set_index('concept_name') df = df.sort_values(by='concept_count', ascending=False) max_num = df.iloc[0,0] df = df[df['concept_count'] == max_num] concept = list(df.index) #可能有多个 return concept # 概念筛选 def filter_concept_stock(dct, concept): tmp_set = set() for k,v in dct.items(): for d in dct[k]['jq_concept']: if d['concept_name'] in concept:#支持concept有多个的情况 tmp_set.add(k) return list(tmp_set) ```