从原始数据框中获取所有行，其中特定列中包含数字或字母数字？

Question

我在df_init中有这样的数据框

          column1
       0  hi all, i am fine
       1  How are you ? 123 a45
       2  123444234324!!!  (This is also string)
       3  sdsfds sdfsdf 233423
       5  adsfd xcvbb cbcvbcvcbc

我想从这个具有数字或字母数字的数据框中获取所有这些值 我期望在df_final中像这样

          column1
       0  How are you ? 123 a45
       1  123444234324!!!  (This is also string)
       2  sdsfds sdfsdf 233423

Answer 1

将str.contains与\d配合使用，并按boolean indexing进行过滤：

df = df[df.column1.str.contains('\d')]
print (df)
                                  column1
1                   How are you ? 123 a45
2  123444234324!!!  (This is also string)
3                    sdsfds sdfsdf 233423

编辑：

print (df)
                  column1
0   hi all, i am fine d78
1   How are you ? 123 a45
2         123444234324!!!
3    sdsfds sdfsdf 233423
4  adsfd xcvbb cbcvbcvcbc
5                 234324@
6                 123! vc

df = df[df.column1.str.contains(r'^\d+[<!\-[.*?\]>@]+$')]
print (df)
           column1
2  123444234324!!!
5          234324@