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.apply() for rows iteration

.apply() is a very useful to iterate through the rows of a DataFrame and apply a specific function.

You will work on a subset of the poker_hands dataset, which includes only the rank of all the five cards of each hand in each row (this subset is generated for you in the script). You're going to get the variance of every hand for all ranks, and every rank for all hands.

This exercise is part of the course

Writing Efficient Code with pandas

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Define the lambda transformation
get_variance = ____

# Apply the transformation
data_tr = poker_hands[['R1', 'R2', 'R3', 'R4', 'R5']].____(____, ____)
print(data_tr.head())
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