Making Your Code Beautiful | Dealing With Conditions

Course Content

1. Getting Familiar With Indexing and Selecting Data
2. Dealing With Conditions
3. Extracting Data
4. Aggregating Data
5. Preprocessing Data

Let's make our code more convenient and more readable. By the way, it is essential to make your code understandable for your coworkers.

To simplify the code, we can write the condition first and then put it into the `.loc[]` function; look at the example from the previous chapter:

The first and second methods lead to the same output, but the second is much better for understanding because you can work with two conditions separately, and the statement within the `.loc[]` function takes up less space.

Your task here is to consolidate knowledge from this chapter. You need to extract data on small asteroids with a high magnitude, or hazardous ones. To do so, follow the algorithm:

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.

Your task here is to consolidate knowledge from this chapter. You need to extract data on small asteroids with a high magnitude, or hazardous ones. To do so, follow the algorithm:

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.

Everything was clear?

Section 2. Chapter 4

Let's make our code more convenient and more readable. By the way, it is essential to make your code understandable for your coworkers.

To simplify the code, we can write the condition first and then put it into the `.loc[]` function; look at the example from the previous chapter:

The first and second methods lead to the same output, but the second is much better for understanding because you can work with two conditions separately, and the statement within the `.loc[]` function takes up less space.

Your task here is to consolidate knowledge from this chapter. You need to extract data on small asteroids with a high magnitude, or hazardous ones. To do so, follow the algorithm:

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.

Your task here is to consolidate knowledge from this chapter. You need to extract data on small asteroids with a high magnitude, or hazardous ones. To do so, follow the algorithm:

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.

Everything was clear?

Section 2. Chapter 4

Let's make our code more convenient and more readable. By the way, it is essential to make your code understandable for your coworkers.

To simplify the code, we can write the condition first and then put it into the `.loc[]` function; look at the example from the previous chapter:

The first and second methods lead to the same output, but the second is much better for understanding because you can work with two conditions separately, and the statement within the `.loc[]` function takes up less space.

Your task here is to consolidate knowledge from this chapter. You need to extract data on small asteroids with a high magnitude, or hazardous ones. To do so, follow the algorithm:

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.

Your task here is to consolidate knowledge from this chapter. You need to extract data on small asteroids with a high magnitude, or hazardous ones. To do so, follow the algorithm:

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.

Everything was clear?

Let's make our code more convenient and more readable. By the way, it is essential to make your code understandable for your coworkers.

To simplify the code, we can write the condition first and then put it into the `.loc[]` function; look at the example from the previous chapter:

The first and second methods lead to the same output, but the second is much better for understanding because you can work with two conditions separately, and the statement within the `.loc[]` function takes up less space.

1. Write the first condition: values from the column`'est_diameter_min'` are less than `0.01`. Assign it to the variable `condition_1`.
2. Write the second condition: values from the column `'absolute_magnitude'` are greater than `20`. Assign it to the variable `condition_2`.
3. Write the third condition: values from the column `'hazardous'` are equal to `False`. Assign it to the variable `condition_3`.
4. Write the general condition that satisfies the requirement: `(condition_1 and condition_2) or condition_3`.