如果一列的字符串包含 pandas dataframe 中另一列的单词，如何删除整行

Question

Dataframe contain columns called "product_description" and "manufacturer". I need to remove all rows where 'product_description' has 'manufacturer' in it.

I tried this code:

df[~df.product_description.str.contains(df.manufacturer)]

and it gave me error

TypeError: 'Series' objects are mutable, thus they cannot be hashed

Is there any other way to do it?
Very much appreciate for any help!

Answer 1

If need test all values from column manufacturer per each value of column product_description use join with | for regex or :

df[~df.product_description.str.contains('|'.join(data.manufacturer))]

Or if need test per rows:

df[df.apply(lambda x: x.product_description not in x.manufacturer, axis=1)]