polars_python/series/
export.rs1use polars_core::prelude::*;
2use polars_ffi::version_0::SeriesExport;
3use pyo3::IntoPyObjectExt;
4use pyo3::prelude::*;
5use pyo3::types::{PyCapsule, PyList};
6
7use super::PySeries;
8use crate::error::PyPolarsErr;
9use crate::interop;
10use crate::interop::arrow::to_py::series_to_stream;
11use crate::prelude::*;
12
13#[pymethods]
14impl PySeries {
15 pub fn to_list<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyAny>> {
18 let series = &self.series.read();
19
20 fn to_list_recursive<'py>(py: Python<'py>, series: &Series) -> PyResult<Bound<'py, PyAny>> {
21 let pylist = match series.dtype() {
22 DataType::Boolean => PyList::new(py, series.bool().map_err(PyPolarsErr::from)?)?,
23 DataType::UInt8 => PyList::new(py, series.u8().map_err(PyPolarsErr::from)?)?,
24 DataType::UInt16 => PyList::new(py, series.u16().map_err(PyPolarsErr::from)?)?,
25 DataType::UInt32 => PyList::new(py, series.u32().map_err(PyPolarsErr::from)?)?,
26 DataType::UInt64 => PyList::new(py, series.u64().map_err(PyPolarsErr::from)?)?,
27 DataType::UInt128 => PyList::new(py, series.u128().map_err(PyPolarsErr::from)?)?,
28 DataType::Int8 => PyList::new(py, series.i8().map_err(PyPolarsErr::from)?)?,
29 DataType::Int16 => PyList::new(py, series.i16().map_err(PyPolarsErr::from)?)?,
30 DataType::Int32 => PyList::new(py, series.i32().map_err(PyPolarsErr::from)?)?,
31 DataType::Int64 => PyList::new(py, series.i64().map_err(PyPolarsErr::from)?)?,
32 DataType::Int128 => PyList::new(py, series.i128().map_err(PyPolarsErr::from)?)?,
33 DataType::Float32 => PyList::new(py, series.f32().map_err(PyPolarsErr::from)?)?,
34 DataType::Float64 => PyList::new(py, series.f64().map_err(PyPolarsErr::from)?)?,
35 DataType::Categorical(_, _) | DataType::Enum(_, _) => {
36 with_match_categorical_physical_type!(series.dtype().cat_physical().unwrap(), |$C| {
37 PyList::new(py, series.cat::<$C>().unwrap().iter_str())?
38 })
39 },
40 #[cfg(feature = "object")]
41 DataType::Object(_) => {
42 let v = PyList::empty(py);
43 for i in 0..series.len() {
44 let obj: Option<&ObjectValue> = series.get_object(i).map(|any| any.into());
45 v.append(obj)?;
46 }
47 v
48 },
49 DataType::List(_) => {
50 let v = PyList::empty(py);
51 let ca = series.list().map_err(PyPolarsErr::from)?;
52 for opt_s in ca.amortized_iter() {
53 match opt_s {
54 None => {
55 v.append(py.None())?;
56 },
57 Some(s) => {
58 let pylst = to_list_recursive(py, s.as_ref())?;
59 v.append(pylst)?;
60 },
61 }
62 }
63 v
64 },
65 DataType::Array(_, _) => {
66 let v = PyList::empty(py);
67 let ca = series.array().map_err(PyPolarsErr::from)?;
68 for opt_s in ca.amortized_iter() {
69 match opt_s {
70 None => {
71 v.append(py.None())?;
72 },
73 Some(s) => {
74 let pylst = to_list_recursive(py, s.as_ref())?;
75 v.append(pylst)?;
76 },
77 }
78 }
79 v
80 },
81 DataType::Date => {
82 let ca = series.date().map_err(PyPolarsErr::from)?;
83 return Wrap(ca).into_bound_py_any(py);
84 },
85 DataType::Time => {
86 let ca = series.time().map_err(PyPolarsErr::from)?;
87 return Wrap(ca).into_bound_py_any(py);
88 },
89 DataType::Datetime(_, _) => {
90 let ca = series.datetime().map_err(PyPolarsErr::from)?;
91 return Wrap(ca).into_bound_py_any(py);
92 },
93 DataType::Decimal(_, _) => {
94 let ca = series.decimal().map_err(PyPolarsErr::from)?;
95 return Wrap(ca).into_bound_py_any(py);
96 },
97 DataType::String => {
98 let ca = series.str().map_err(PyPolarsErr::from)?;
99 return Wrap(ca).into_bound_py_any(py);
100 },
101 DataType::Struct(_) => {
102 let ca = series.struct_().map_err(PyPolarsErr::from)?;
103 return Wrap(ca).into_bound_py_any(py);
104 },
105 DataType::Duration(_) => {
106 let ca = series.duration().map_err(PyPolarsErr::from)?;
107 return Wrap(ca).into_bound_py_any(py);
108 },
109 DataType::Binary => {
110 let ca = series.binary().map_err(PyPolarsErr::from)?;
111 return Wrap(ca).into_bound_py_any(py);
112 },
113 DataType::Null => {
114 let null: Option<u8> = None;
115 let n = series.len();
116 let iter = std::iter::repeat_n(null, n);
117 use std::iter::RepeatN;
118 struct NullIter {
119 iter: RepeatN<Option<u8>>,
120 n: usize,
121 }
122 impl Iterator for NullIter {
123 type Item = Option<u8>;
124
125 fn next(&mut self) -> Option<Self::Item> {
126 self.iter.next()
127 }
128 fn size_hint(&self) -> (usize, Option<usize>) {
129 (self.n, Some(self.n))
130 }
131 }
132 impl ExactSizeIterator for NullIter {}
133
134 PyList::new(py, NullIter { iter, n })?
135 },
136 DataType::Unknown(_) => {
137 panic!("to_list not implemented for unknown")
138 },
139 DataType::BinaryOffset => {
140 unreachable!()
141 },
142 };
143 Ok(pylist.into_any())
144 }
145
146 to_list_recursive(py, series)
147 }
148
149 #[allow(clippy::wrong_self_convention)]
151 fn to_arrow(&self, py: Python<'_>, compat_level: PyCompatLevel) -> PyResult<Py<PyAny>> {
152 self.rechunk(py, true)?;
153 let pyarrow = py.import("pyarrow")?;
154
155 let s = self.series.read();
156 interop::arrow::to_py::to_py_array(
157 s.to_arrow(0, compat_level.0),
158 &s.field().to_arrow(compat_level.0),
159 &pyarrow,
160 )
161 }
162
163 #[allow(unused_variables)]
164 #[pyo3(signature = (requested_schema=None))]
165 fn __arrow_c_stream__<'py>(
166 &self,
167 py: Python<'py>,
168 requested_schema: Option<Py<PyAny>>,
169 ) -> PyResult<Bound<'py, PyCapsule>> {
170 series_to_stream(&self.series.read(), py)
171 }
172
173 pub fn _export(&self, _py: Python<'_>, location: usize) {
174 let export = polars_ffi::version_0::export_series(&self.series.read());
175 unsafe {
176 (location as *mut SeriesExport).write(export);
177 }
178 }
179}