What is the difference between df.iloc[[i]] and df.iloc[i]

Question

What is the difference between df.iloc[[i]] and df.iloc[i]?

I recognize df.iloc[[i]] represents matrix's i-row (parallel shape), but de.iloc[i] represents matrix's i-row as like Vertical shape.

I wonder why de.iloc[i] shows vertical shape.

Does this answer your question? [pandas loc vs. iloc vs. at vs. iat?](https://stackoverflow.com/questions/28757389/pandas-loc-vs-iloc-vs-at-vs-iat) — Ravi, Dec 19 '20 at 17:31
That is a different question asking about the difference between 3 methods. This question is asking about the way one method interprets different types of inputs. — DavidN, Dec 20 '20 at 22:19

score 1 · Answer 1 · answered Dec 19 '20 at 17:30

A different object type is returned in each instance.

When you pass a scalar integer [0] it returns a Series object.

When you pass a list of integers [[0]] (this is a list of length 1) it returns a DataFrame object.

You can see for yourself by running: type(df.iloc[i]) vs type(df.iloc[[i]]).

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