What is the primary purpose of the “clip” method in Pandas when working with numerical data?

The correct answer is D.

The clip method in Pandas is used to clip values outside a specified range. It takes two arguments: the lower bound and the upper bound. Any values that are less than the lower bound or greater than the upper bound will be replaced with the lower bound or upper bound, respectively.

For example, if we have a DataFrame with the following values:

| A | B |
|---|---|
| 1 | 2 |
| 3 | 4 |
| 5 | 6 |
| 7 | 8 |
| 9 | 10 |

And we use the clip method to clip values outside the range [2, 8], we would get the following DataFrame:

| A | B |
|---|---|
| 2 | 2 |
| 3 | 4 |
| 4 | 4 |
| 5 | 6 |
| 6 | 6 |

The clip method can be used to both remove outliers and to ensure that all values in a DataFrame are within a certain range. It is a powerful tool that can be used to clean and prepare data for analysis.

The other options are incorrect because they do not describe the primary purpose of the clip method.

• Option A is incorrect because the clip method does not group or aggregate data.
• Option B is incorrect because the clip method does not sort data.
• Option C is incorrect because the clip method does not filter data.