pandas-python dataframe update a column

Question

Say I have a list BRANDS that contains brand names:

BRANDS = [\'Samsung\', \'Apple\', \'Nike\', .....]

Dataframe A has following structure

Answer 1

You can achieve the result you are after by writing a simple function. You can then use .apply() with a lambda function to generate your desired column.

def contains_any(s, arr):
    for item in arr:
        if item in s: return item
    return np.nan
df['brand_name'] = df['product'].apply(lambda x: match_substring(x, product_map))