Lambda not in function doesn't work for more than one word in Python

Question

I would like to filter dataframe by lambda if condition

I have a "product name" and "category1" columns and "if product name" not contains ("boxer","boxers","sock","socks") words I would like to change "category1" column as "Other", but below code change all of them as "other" example even contains "sock"

df = pd.DataFrame({
'product_name': ["blue shirt", " medium boxers", "red jackets ", "blue sock"],})


df["category1"]=df.apply(lambda x: "Other" if ("boxer","boxers","sock","socks" not in x["product_name"] ) else x["category1"], axis=1)

I expected below results

df = pd.DataFrame({
'product_name': ["blue shirt", " medium boxers", "red jackets ", "blue sock"],
 'category1'["other", Nan, "other ", "Nan"],})

Thank you for your support

Answer 1

You could use str.contains:

items = ("boxer","boxers","sock","socks")

import numpy as np
df["category1"] = np.where(df['product_name'].str.contains('|'.join(items)),
                           np.nan,  # value is True
                           'Other') # value if False

output:

     product_name category1
0      blue shirt     Other
1   medium boxers       nan
2    red jackets      Other
3       blue sock       nan