pandas dataframe str.contains() AND operation

You can do that as follows:

df[(df['col_name'].str.contains('apple')) & (df['col_name'].str.contains('banana'))]

You can also do it in regex expression style:

df[df['col_name'].str.contains(r'^(?=.*apple)(?=.*banana)')]

You can then, build your list of words into a regex string like so:

base = r'^{}'
expr = '(?=.*{})'
words = ['apple', 'banana', 'cat']  # example
base.format(''.join(expr.format(w) for w in words))

will render:

'^(?=.*apple)(?=.*banana)(?=.*cat)'

Then you can do your stuff dynamically.

Related