newdf = pd.DataFrame()
newdf['genes in system'] = df_bladder['Genes (Alphabetical order)']
#systemlist = [newdf['genes in system'][x].split(' ') for x in range (0,len(newdf))]
#bladderlist = bladderlist.append(i) if i
def query(df):
genes = [i for i in newdf['genes in system'][0].split(' ') if i in list(combined_df)]
return genes
newdf['genes in'] = newdf['genes in system'].apply(query)
newdf
我试图应用这个函数,它从第一列中提取与我的列表(list(combined_df))匹配的字符串。然而,它只是从第一排开始拉动
目前没有回答
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