Python iloc() function

The iloc() function is an indexed-based selecting method which means that we have to pass an integer index in the method to select a specific row/column. This method does not include the last element of the range passed in it unlike loc(). iloc() does not accept the boolean data unlike loc(). Operations performed using iloc() are:

Example 1: Selecting Rows Using Integer Indices

In this example, the code employs the iloc function to extract and display specific rows with indices 0, 2, 4, and 7 from the DataFrame, showcasing information about selected cars in the dataset.

Output

     Brand  Year  Kms Driven       City  Mileage
0   Maruti  2012       50000    Gurgaon       28
2     Tata  2011       60000     Mumbai       25
4   Maruti  2012       10000     Mumbai       28
7     Tata  2018       15000    Chennai       21

Example 2: Selecting a Range of Columns and Rows Simultaneously

In this example, the code utilizes the iloc function to extract and display a subset of the DataFrame, including rows 1 to 4 and columns 2 to 4. This provides information about a specific range of cars and their relevant attributes in the dataset.

Output

   Kms Driven    City  Mileage
1       30000   Delhi       27
2       60000  Mumbai       25
3       25000   Delhi       26
4       10000  Mumbai       28

Pandas library of Python is very useful for the manipulation of mathematical data and is widely used in the field of machine learning. It comprises many methods for its proper functioning. loc() and iloc() are one of those methods. These are used in slicing data from the Pandas DataFrame. They help in the convenient selection of data from the DataFrame in Python. They are used in filtering the data according to some conditions.