Problem Statement
What is the key difference between .loc and .iloc in pandas?
Explanation
.loc uses index labels and supports boolean masks. .iloc uses zero-based integer positions. Mixing them up causes off-by-one errors or KeyErrors.
Prefer .loc when working with meaningful index labels such as dates or ids.
Code Solution
SolutionRead Only
df.loc['2025-01-01'] df.iloc[0:10]
Practice Sets
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