使用 .apply() 迭代行
.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.
本练习是课程的一部分
使用 pandas 编写高效代码
交互式实操练习
通过完成这段示例代码来试试这个练习。
# Define the lambda transformation
get_variance = ____
# Apply the transformation
data_tr = poker_hands[['R1', 'R2', 'R3', 'R4', 'R5']].____(____, ____)
print(data_tr.head())