polars_core/frame/
upstream_traits.rs1use std::ops::{Index, Range, RangeFrom, RangeFull, RangeInclusive, RangeTo, RangeToInclusive};
2
3use arrow::record_batch::RecordBatchT;
4
5use crate::prelude::*;
6
7impl FromIterator<Series> for DataFrame {
8 fn from_iter<T: IntoIterator<Item = Series>>(iter: T) -> Self {
12 let v = iter.into_iter().map(Column::from).collect();
13 DataFrame::new(v).expect("could not create DataFrame from iterator")
14 }
15}
16
17impl FromIterator<Column> for DataFrame {
18 fn from_iter<T: IntoIterator<Item = Column>>(iter: T) -> Self {
22 let v = iter.into_iter().collect();
23 DataFrame::new(v).expect("could not create DataFrame from iterator")
24 }
25}
26
27impl TryExtend<RecordBatchT<Box<dyn Array>>> for DataFrame {
28 fn try_extend<I: IntoIterator<Item = RecordBatchT<Box<dyn Array>>>>(
29 &mut self,
30 iter: I,
31 ) -> PolarsResult<()> {
32 for record_batch in iter {
33 self.append_record_batch(record_batch)?;
34 }
35
36 Ok(())
37 }
38}
39
40impl TryExtend<PolarsResult<RecordBatchT<Box<dyn Array>>>> for DataFrame {
41 fn try_extend<I: IntoIterator<Item = PolarsResult<RecordBatchT<Box<dyn Array>>>>>(
42 &mut self,
43 iter: I,
44 ) -> PolarsResult<()> {
45 for record_batch in iter {
46 self.append_record_batch(record_batch?)?;
47 }
48
49 Ok(())
50 }
51}
52
53impl Index<usize> for DataFrame {
54 type Output = Column;
55
56 fn index(&self, index: usize) -> &Self::Output {
57 &self.columns[index]
58 }
59}
60
61macro_rules! impl_ranges {
62 ($range_type:ty) => {
63 impl Index<$range_type> for DataFrame {
64 type Output = [Column];
65
66 fn index(&self, index: $range_type) -> &Self::Output {
67 &self.columns[index]
68 }
69 }
70 };
71}
72
73impl_ranges!(Range<usize>);
74impl_ranges!(RangeInclusive<usize>);
75impl_ranges!(RangeFrom<usize>);
76impl_ranges!(RangeTo<usize>);
77impl_ranges!(RangeToInclusive<usize>);
78impl_ranges!(RangeFull);
79
80impl Index<&str> for DataFrame {
82 type Output = Column;
83
84 fn index(&self, index: &str) -> &Self::Output {
85 let idx = self.check_name_to_idx(index).unwrap();
86 &self.columns[idx]
87 }
88}