I had a label column from a pandas dataframe that had so many variance. I want to narrow it down by putting some of the label to another label I chose.
The data is supposed to be like this (both column are in dtype string):

So I apply this function that inspect every substring element of the inputs:

def relabel(x):
    for i in x:
        if ("health" or "rejuvenation") in i:
            return "health"
        elif ("gover" or "senate") in i:
            return "government"
        else:
            return i

Then I apply using:

data['new_label'] = data['old_label'].apply(relabel)

But it immediately return the exact same value by its input, so the result is just a new column with the exact same data.

How to fix this?