Expand description
This crate offers a PySeries
and a PyDataFrame
which are simple wrapper around Series
and DataFrame
. The
advantage of these wrappers is that they can be converted to and from python as they implement FromPyObject
and IntoPy
.
§Example
From src/lib.rs
.
#[pyfunction]
fn my_cool_function(pydf: PyDataFrame) -> PyResult<PyDataFrame> {
let df: DataFrame = pydf.into();
let df = {
// some work on the dataframe here
todo!()
};
// wrap the dataframe and it will be automatically converted to a python polars dataframe
Ok(PyDataFrame(df))
}
/// A Python module implemented in Rust.
#[pymodule]
fn expression_lib(_py: Python, m: &Bound<PyModule>) -> PyResult<()> {
m.add_function(wrap_pyfunction!(my_cool_function, m)?)?;
Ok(())
}
Compile your crate with maturin
and then import from python.
From my_python_file.py
.
from expression_lib import my_cool_function
df = pl.DataFrame({
"foo": [1, 2, None],
"bar": ["a", None, "c"],
})
out_df = my_cool_function(df)