Question 17What is the difference between iloc and loc with respect to a DataFrame ?

Question

Accepted Answer

iloc methodloc methodiloc is used for integer-based indexing.loc is used for label-based indexing.It allows to access rows and columns using integer indices, where the first row or column has an index of 0.It allows to access rows and columns using their labels (index or column names).With iloc, the end index/position in slices is excluded when given as start:end.With loc, both the start label and end label are included when given as start:end.The syntax is df.iloc[row_index, column_index].The syntax is df.loc[row_label, column_label].

`iloc` method	`loc` method
`iloc` is used for integer-based indexing.	`loc` is used for label-based indexing.
It allows to access rows and columns using integer indices, where the first row or column has an index of 0.	It allows to access rows and columns using their labels (index or column names).
With `iloc`, the end index/position in slices is excluded when given as start:end.	With `loc`, both the start label and end label are included when given as start:end.
The syntax is `df.iloc[row_index, column_index]`.	The syntax is `df.loc[row_label, column_label]`.

Python Pandas — I — Question 17

Question 17