Easy Pandas Question 23 of 220

What is the difference between loc and iloc?

Data Science track · Speak this in 60–90 seconds · Faridabad & Delhi NCR

PICTURE THIS: DATABASE INDEX

Without indexScan every row
With indexJump to keys
CostWrites slower

Simple meaning

loc selects by label, including index values and column names, while iloc selects by integer position.

1

WHY — Pandas instead of guessing?

Why interviewers care about Pandas:

They want a clean

contrast on Pandas, not two memorised paragraphs.

Say what changes for

the developer, then one case where picking wrong hurts.

Stay structured

Name the idea, why it exists, then one short example.

Close cleanly

End with when you use it and one common pitfall.

2

STEPS — What happens step by step?

Before you speak the answer, walk the interviewer through these steps:

  1. 1
    loc selects by label,

    including index values and column names, while iloc selects by integer position.

  2. 2
    Why it exists

    loc[:, 'revenue'] is name-based

  3. 3
    iloc[:, 3] is the

    fourth column regardless of name.

  4. 4
    Mixing them up is

    a common source of off-by-one bugs after a sort or reset_index.

  5. 5
    Common mistake

    What juniors usually get wrong.

  6. 6
    Close

    When you pick this over the alternative.

3

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line
“loc[:, 'revenue'] is name-based”
Break into beats
loc'revenue'isnamebased
Speaking order
298740833747163290

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

loc selects by label, including index values and column names, while iloc selects by integer position. loc[:, 'revenue'] is name-based

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