Python 返回字符串的关键字（如果在dataframe列中找到）

我有一根绳子。我需要找到该字符串中的关键字是否存在于我的数据帧中

如果存在，我需要返回该关键字

字符串：

question="Joe is Available"
question=question.upper()
str_list=question.split()
str_list

df=pd.DataFrame({"Person1":("Ash","Joe","Harry"),"Person2":("Abe","Lisa","Katty",),"Person3":("Sam","Max","Stone")})
df=df.apply(lambda x: x.astype(str).str.upper())


Person1 Person2 Person3
ASH     ABE     SAM
JOE     LISA    MAX
HARRY   KATTY   STONE

return_field=""
for x in str_list:
    print(x)
    for i in df.iterrows():
        if(df.str.contains(x)):
            return_field=x

出[107]：

['JOE', 'IS', 'AVAILABLE']

数据帧：

question="Joe is Available"
question=question.upper()
str_list=question.split()
str_list

df=pd.DataFrame({"Person1":("Ash","Joe","Harry"),"Person2":("Abe","Lisa","Katty",),"Person3":("Sam","Max","Stone")})
df=df.apply(lambda x: x.astype(str).str.upper())


Person1 Person2 Person3
ASH     ABE     SAM
JOE     LISA    MAX
HARRY   KATTY   STONE

return_field=""
for x in str_list:
    print(x)
    for i in df.iterrows():
        if(df.str.contains(x)):
            return_field=x

我的尝试：

question="Joe is Available"
question=question.upper()
str_list=question.split()
str_list

df=pd.DataFrame({"Person1":("Ash","Joe","Harry"),"Person2":("Abe","Lisa","Katty",),"Person3":("Sam","Max","Stone")})
df=df.apply(lambda x: x.astype(str).str.upper())


Person1 Person2 Person3
ASH     ABE     SAM
JOE     LISA    MAX
HARRY   KATTY   STONE

return_field=""
for x in str_list:
    print(x)
    for i in df.iterrows():
        if(df.str.contains(x)):
            return_field=x

给我AttributeError:“DataFrame”对象没有属性“str”

预期产出

由于Joe出现在数据帧中，它应该返回“Joe”

Use

In [741]: [x for x in str_list if x in df.values]
Out[741]: ['JOE']

---

如果重复执行此操作，您可能希望通过

set

散列值。此外，您还可以使用

map

和

str.upper

将数据帧值转换为大写1：

---

1您可以使用

pd.DataFrame.apply

+

lambda

，但不建议这样做。通过

pd.Series.str

执行的字符串操作目前速度非常慢。在顶部添加

lambda

循环会使情况变得更糟