Set ConditionSet 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:

02162635162635 (2000 SS164)1.1982712.67941516.73False
12277475277475 (2005 WK4)0.2658000.59434720.00True
22512244512244 (2015 YE18)0.7220301.61450717.83False
33596030(2012 BV130.0965060.21579422.20False
43667127(2014 GE35)0.2550090.57021720.09True
  • 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.

Select a few correct answers

Everything was clear?

Section 2. Chapter 1