In this section, we will learn how to extract data using specific conditions, but first I want you to examine the data set we will use. It includes data on asteroids:

• id - Unique identifier for each asteroid;
• name - Name given by NASA;
• est_diameter_min - Minimum estimated diameter in kilometers;
• est_diameter_max - Maximum estimated diameter in kilometers;
• absolute_magnitude - Describes how light the object is;
• hazardous - Boolean feature that shows whether asteroid is harmful or not.

You are already familiar with the .loc[] attribute, but here we will expand its possibilities.

One of the most useful tools is to set conditions on a column to extract specific values. So, you just put the condition of the column inside the .loc[] attribute. Look at the several conditions and outputs.

• data.loc[data['est_diameter_max'] < 0.005].head() - extracts the first five rows where the column values 'est_diameter_max' are less then 0.005;
• data.loc[data['absolute_magnitude'] >= 30].head() - extracts the first five rows where the column values 'absolute_magnitude' are greater than or equal to 30.