shape: (6, 2)
| Student | Grade |
|---|---|
| str | i64 |
| "Spencer" | 93 |
| "Emily" | 88 |
| "Hannah" | 73 |
| "Aria" | 69 |
| "Mona" | 55 |
| "Paige" | 89 |
Use clip to set upper and lower bound values in polars
clip
100DaysOfPolars
Imagine you’re a teacher who isn’t satisfied with the range of grades your students received on what you thought was a fairly easy math test. You want to set the lowest possible grade to 60 and the highest to 90. How can you do that?
Below is a dataframe showing the students and their grades on the math test.
Set boundaries where grades should be
To ensure that all grades fall within the 60 to 90 range, use the Polars expression clip as shown below:
(df
.with_columns(pl.col('Grade').clip(60,90))
)
shape: (6, 2)
| Student | Grade |
|---|---|
| str | i64 |
| "Spencer" | 90 |
| "Emily" | 88 |
| "Hannah" | 73 |
| "Aria" | 69 |
| "Mona" | 60 |
| "Paige" | 89 |
Now none of the values in Grade are above 90 or below 60. You’ve successfully clipped the values!
Hey, do me a solid. Sign up for my Polars course