| Name | polars_ethan JSON |
| Version |
0.2.1
JSON |
| download |
| home_page | None |
| Summary | Fast Polars functions that Ethan likes to use. |
| upload_time | 2025-03-21 17:39:50 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.13 |
| license | None |
| keywords |
polars
tools
demean
data science
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
## Features
### Demean
The `demean` function subtracts the mean from each non-NaN value in an array, preserving NaN values.
```python
import polars as pl
from ethanpolars import demean
# Sample data...
df = pl.DataFrame({
"value": [1.0, 2.0, 3.0, None, 5.0]
})
# Apply demean to the column...
print(df)
```
Output...
```
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