polars_python/
lazygroupby.rs1use std::sync::Arc;
2
3use polars::lazy::frame::{LazyFrame, LazyGroupBy};
4use polars::prelude::{PlanCallback, Schema};
5use polars_utils::python_function::PythonObject;
6use pyo3::prelude::*;
7
8use crate::conversion::Wrap;
9use crate::error::PyPolarsErr;
10use crate::expr::ToExprs;
11use crate::{PyExpr, PyLazyFrame};
12
13#[pyclass(frozen)]
14#[repr(transparent)]
15pub struct PyLazyGroupBy {
16 pub lgb: Option<LazyGroupBy>,
18}
19
20#[pymethods]
21impl PyLazyGroupBy {
22 fn having(&self, predicates: Vec<PyExpr>) -> PyLazyGroupBy {
23 let mut lgb = self.lgb.clone().unwrap();
24 let predicates = predicates.to_exprs();
25 for predicate in predicates.into_iter() {
26 lgb = lgb.having(predicate);
27 }
28 PyLazyGroupBy { lgb: Some(lgb) }
29 }
30
31 fn agg(&self, aggs: Vec<PyExpr>) -> PyLazyFrame {
32 let lgb = self.lgb.clone().unwrap();
33 let aggs = aggs.to_exprs();
34 lgb.agg(aggs).into()
35 }
36
37 fn head(&self, n: usize) -> PyLazyFrame {
38 let lgb = self.lgb.clone().unwrap();
39 lgb.head(Some(n)).into()
40 }
41
42 fn tail(&self, n: usize) -> PyLazyFrame {
43 let lgb = self.lgb.clone().unwrap();
44 lgb.tail(Some(n)).into()
45 }
46
47 #[pyo3(signature = (lambda, schema))]
48 fn map_groups(&self, lambda: Py<PyAny>, schema: Option<Wrap<Schema>>) -> PyResult<PyLazyFrame> {
49 let lgb = self.lgb.clone().unwrap();
50 let schema = match schema {
51 Some(schema) => Arc::new(schema.0),
52 None => LazyFrame::from(lgb.logical_plan.clone())
53 .collect_schema()
54 .map_err(PyPolarsErr::from)?,
55 };
56
57 let function = PythonObject(lambda);
58
59 Ok(lgb.apply(PlanCallback::new_python(function), schema).into())
60 }
61}