python - 如何根据pandas中的条件映射两行不同的数据框

Question

我有两个数据框，

df1，

 Names
 one two three
 Sri is a good player
 Ravi is a mentor
 Kumar is a cricketer player

df2，

 values
 sri
 NaN
 sri, is
 kumar,cricketer player

我正在尝试获取 df1 中包含 df2 中所有项目的行

我的预期输出是，

 values                  Names
 sri                     Sri is a good player
 NaN
 sri, is                 Sri is a good player
 kumar,cricketer player  Kumar is a cricketer player

我尝试过，df1["Names"].str.contains("|".join(df2["values"].values.tolist())) 我也尝试过，

但我无法实现我的预期输出，因为它有(“，”)。请帮忙

Answer 1

将集合逻辑与 Numpy 广播结合使用。

d1 = df1['Names'].fillna('').str.lower().str.split('[^a-z]+').apply(set).values
d2 = df2['values'].fillna('').str.lower().str.split('[^a-z]+').apply(set).values

i, j = np.where(d1 >= d2[:, None])

df2.assign(Names=pd.Series(df1['Names'].values[j], df2['values'].index[i]))

                   values                        Names
0                     sri         Sri is a good player
1                     NaN                          NaN
2                 sri, is         Sri is a good player
3  kumar,cricketer player  Kumar is a cricketer player