Q$16)$ How do we call for rows $/$ column in pandas framework.

A$.$ row$/$col

B$.$ row$/$index

C$.$ index$/$columns

D$.$ index $\frac{1}{?}$ index$2$

E$.$ tuple$/$attribute

Output? $(np.$arange$()$ produces number in the range $[0,n)-0$ inclusive and $n$ is exclusive$)$

ta $=$ pd$.$ DataFrame $($np$.$arange $(16),$ reshape $(4,4)),$ index$=["$Ohio$",$ "Colorado", "Utah", "New York"$],$ columns$=["$one$",$ "two", "three", "four"$])$

ta$[$data$["$three$"]>5],$ shape

A$.(4,4)$

B$.(4,2)$

C$.(3,4)$

D$.(4,3)$

E$.(2,4)$