1use crate::aes::Aesthetic;
2use crate::data::{DataFrame, Value};
3use crate::scale::ScaleSet;
4
5use super::Stat;
6
7pub struct StatSum;
10
11impl Default for StatSum {
12 fn default() -> Self {
13 StatSum
14 }
15}
16
17impl Stat for StatSum {
18 fn compute_group(&self, data: &DataFrame, _scales: &ScaleSet) -> DataFrame {
19 let x_col = match data.column("x") {
20 Some(c) => c,
21 None => return DataFrame::new(),
22 };
23 let y_col = match data.column("y") {
24 Some(c) => c,
25 None => return DataFrame::new(),
26 };
27
28 let mut groups: Vec<(String, Value, Value, usize)> = Vec::new();
30 for (x, y) in x_col.iter().zip(y_col.iter()) {
31 let key = format!("{}|{}", x.to_group_key(), y.to_group_key());
32 if let Some(entry) = groups.iter_mut().find(|(k, _, _, _)| k == &key) {
33 entry.3 += 1;
34 } else {
35 groups.push((key, x.clone(), y.clone(), 1));
36 }
37 }
38
39 let n = groups.len();
40 let mut x_vals = Vec::with_capacity(n);
41 let mut y_vals = Vec::with_capacity(n);
42 let mut n_vals = Vec::with_capacity(n);
43
44 for (_, x_val, y_val, count) in groups {
45 x_vals.push(x_val);
46 y_vals.push(y_val);
47 n_vals.push(Value::Float(count as f64));
48 }
49
50 let mut result = DataFrame::new();
51 result.add_column("x".to_string(), x_vals);
52 result.add_column("y".to_string(), y_vals);
53 result.add_column("n".to_string(), n_vals);
54
55 for col_name in &["color", "fill", "group"] {
57 if let Some(col) = data.column(col_name) {
58 if let Some(first) = col.first() {
59 result.add_column(col_name.to_string(), vec![first.clone(); n]);
60 }
61 }
62 }
63
64 result
65 }
66
67 fn required_aes(&self) -> Vec<Aesthetic> {
68 vec![Aesthetic::X, Aesthetic::Y]
69 }
70
71 fn name(&self) -> &str {
72 "sum"
73 }
74}