使用正则表达式子集熊猫数据框

Question

I have a pandas dataframe that looks like :

>>> df
      product   desc
0        ABCD  desc1
1   ABCD1,XYZ  desc2
2      ABCD1H  desc3
3       ABCD1  desc4
4  ABCD1H,LMN  desc5

I want to filter out rows that have products ABCD1 or ABCD1 followed by any other product ID but not ABCD1H . How to filter out such rows. In the above example , I want the output as :

>>> df
          product   desc
    1   ABCD1,XYZ  desc2
    3       ABCD1  desc4

This is what I have tried so far but that does not work .

df2 = df.loc[df['product'].str.contains('ABCD1')]

It also includes ABCD1H in its results, i don't want that to happen.

Answer 1

Use regex "\\b" is word break:

df[df['product'].str.contains(r'ABCD1\b')]

Output:

     product   desc
1  ABCD1,XYZ  desc2
3      ABCD1  desc4