python - Searching Multiple Strings in pandas without predefining number of strings to use -

i'm wondering if there's more general way below? i'm wondering if there's way create st function can search non-predefined number of strings?

so instance, being able create generalized st function, , type st('governor', 'virginia', 'google)

here's current function, predefines 2 words can use. (df pandas dataframe)

def search(word1, word2, word3 df):     """     allows search intersection of 3 terms     """     return df[df.name.str.contains(word1) & df.name.str.contains(word2) & df.name.str.contains(word3)]  st('governor', 'virginia', newauthdf) 

you use np.logical_and.reduce:

import pandas pd import numpy np def search(df, *words):  #1     """     return sub-dataframe of rows name column match words.     """     return df[np.logical_and.reduce([df['name'].str.contains(word) word in words])]   # 2   df = pd.dataframe({'name':['virginia google governor',                            'governor virginia',                            'governor virginia google']}) print(search(df, 'governor', 'virginia', 'google')) 

prints

                       name 0  virginia google governor 2  governor virginia google 

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1. the * in def search(df, *words) allows search accept unlimited number of positional arguments. collect arguments (after first) , place them in list called words.
2. np.logical_and.reduce([x,y,z]) equivalent x & y & z. allows handle arbitrarily long list, however.