Set Condition | Dealing With Conditions

Course Content

# Set Condition

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[]` function, 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[]` function. 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`.

Your task is to choose all correct forms of setting conditions on the column `'est_diameter_min'`. Please look; this column is numerical, so think about the conditions we can use with numbers.