["python","pandas","dataframe","function","apply"]
Apply function to each cell in DataFrame

I have a dataframe that may look like this: A B C foo bar foo bar bar foo foo bar I want to look through every element of each row (or every element of each column) and apply the following function to get the subsequent dataframe: def foo_bar(x): return x.replace('foo', 'wow') After applying the function, my dataframe will look like this: A B C wow bar wow bar bar wow wow bar Is there a simple one-liner that can apply a function to each cell? This is a simplistic example so there may be an easier way to execute this specific example other than applying a function, but what I am really asking about is how to apply a function in every cell within a dataframe.
You can use map() which is concise for your case. df.map(foo_bar) # A B C #0 wow bar wow bar #1 bar wow wow bar Another option is to vectorize your function and then use apply method: import numpy as np df.apply(np.vectorize(foo_bar)) # A B C #0 wow bar wow bar #1 bar wow wow bar