python - 在 python 中的 pandas 中匹配数据帧之间的行

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

df2,

 values
 sri
 NaN
 sri, is
 kumar,cricketer

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    Kumar is a cricketer

我试过了，df1["Names"].str.contains("|".join(df2["values"].values.tolist()))

但我无法达到预期的输出(“，”)。请帮忙

Answer 1

使用集合

s1 = df1.Names.dropna()
s1.loc[:] = [set(x.lower().split()) for x in s1.values.tolist()]
a1 = s1.values

s2 = df2['values'].dropna()
s2.loc[:] = [set(x.replace(' ', '').lower().split(',')) for x in s2.values.tolist()]
a2 = s2.values

i = np.column_stack([a1 >= a2[:, None], [True] * len(a2)]).argmax(1)

df2.assign(Names=pd.Series(
    np.append(df1.Names.values, np.nan)[i], s2.index
))

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