Name | polars-splines JSON |
Version |
0.1.2
JSON |
| download |
home_page | None |
Summary | A polars expression plugin for splines |
upload_time | 2024-11-04 19:35:14 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.10 |
license | None |
keywords |
splines
interpolation
polars
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# polars-splines: An expression plugin for Polars
[![Documentation](https://img.shields.io/badge/Documentation-black?logo=readthedocs)](https://monochromatti.github.io/polars-splines/)
A simple [extension plugin](https://github.com/pola-rs/pyo3-polars) for [polars](https://github.com/pola-rs/polars) Python API that uses the Rust cargo [splines](https://crates.io/crates/splines) for spline interpolation.
## Installation
Install with `pip` or `uv` from [PyPI](https://pypi.org/project/polars-splines/), or build from source with [`maturin`](https://github.com/PyO3/maturin).
## Minimal example
```python
import polars as pl
import polars_splines # Adds `spl` to expression namespace
df = pl.DataFrame({"x": [0, 1, 2], "y": [3, 1, 5]})
xi = pl.Series("xi", [0, 0.5, 1.7])
dfi = df.select(
pl.struct("x", "y").spl.interpolate(xi).alias("yi")
)
```
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"description": "# polars-splines: An expression plugin for Polars\n\n[![Documentation](https://img.shields.io/badge/Documentation-black?logo=readthedocs)](https://monochromatti.github.io/polars-splines/)\n\nA simple [extension plugin](https://github.com/pola-rs/pyo3-polars) for [polars](https://github.com/pola-rs/polars) Python API that uses the Rust cargo [splines](https://crates.io/crates/splines) for spline interpolation.\n\n## Installation\nInstall with `pip` or `uv` from [PyPI](https://pypi.org/project/polars-splines/), or build from source with [`maturin`](https://github.com/PyO3/maturin).\n\n## Minimal example\n\n```python\nimport polars as pl\nimport polars_splines # Adds `spl` to expression namespace\n\ndf = pl.DataFrame({\"x\": [0, 1, 2], \"y\": [3, 1, 5]})\n\nxi = pl.Series(\"xi\", [0, 0.5, 1.7])\n\ndfi = df.select(\n pl.struct(\"x\", \"y\").spl.interpolate(xi).alias(\"yi\")\n)\n```\n\n",
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