[Python] Shortcut for assigning variables to row names within df.iterrows()

Instead of using the below code, is there a method which can produce n_apple, n_cherry, and n_banana for the current row in a single line?

for i, row in df.iterrows():
date = row['date']
n_apple = row['apple']
n_cherry = row['cherry']
n_banana = row['banana']
# the list goes on...



Edit for clarity: My actual column names are much longer, so this won't work

n_apple, n_cherry, n_banana = row['apple'], row['cherry'], row['banana']


EDIT 2: Desired behavior:

n_apple, n_cherry, n_banana = row._unknown_method(['apple', 'cherry', 'banana'])

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