ggplot_rs/scale/
continuous.rs1use crate::aes::Aesthetic;
2use crate::data::Value;
3
4use super::format::LabelFormatter;
5use super::sec_axis::SecAxis;
6use super::transform::ScaleTransform;
7use super::util::{format_number, nice_step};
8use super::Scale;
9
10#[derive(Clone)]
12pub struct ScaleContinuous {
13 aesthetic: Aesthetic,
14 name: String,
15 min: f64,
16 max: f64,
17 trained: bool,
18 filter_oob: bool,
19 expand: (f64, f64), pub(crate) scale_transform: ScaleTransform,
21 custom_breaks: Option<Vec<f64>>,
22 custom_labels: Option<Vec<String>>,
23 pub(crate) sec_axis: Option<SecAxis>,
24 label_formatter: Option<LabelFormatter>,
25}
26
27impl ScaleContinuous {
28 pub fn new() -> Self {
29 ScaleContinuous {
30 aesthetic: Aesthetic::X,
31 name: String::new(),
32 min: f64::INFINITY,
33 max: f64::NEG_INFINITY,
34 trained: false,
35 filter_oob: false,
36 expand: (0.05, 0.0),
37 scale_transform: ScaleTransform::Identity,
38 custom_breaks: None,
39 custom_labels: None,
40 sec_axis: None,
41 label_formatter: None,
42 }
43 }
44
45 pub fn for_aesthetic(mut self, aes: Aesthetic) -> Self {
46 self.aesthetic = aes;
47 self
48 }
49
50 pub fn with_name(mut self, name: &str) -> Self {
51 self.name = name.to_string();
52 self
53 }
54
55 pub fn with_limits(mut self, min: f64, max: f64) -> Self {
56 self.min = min;
57 self.max = max;
58 self.trained = true;
59 self.filter_oob = true;
60 self
61 }
62
63 pub fn with_transform(mut self, transform: ScaleTransform) -> Self {
64 self.scale_transform = transform;
65 self
66 }
67
68 pub fn with_breaks(mut self, breaks: Vec<f64>) -> Self {
70 self.custom_breaks = Some(breaks);
71 self
72 }
73
74 pub fn with_labels(mut self, labels: Vec<String>) -> Self {
76 self.custom_labels = Some(labels);
77 self
78 }
79
80 pub fn with_expand(mut self, mult: f64, add: f64) -> Self {
83 self.expand = (mult, add);
84 self
85 }
86
87 pub fn with_label_formatter(mut self, f: LabelFormatter) -> Self {
89 self.label_formatter = Some(f);
90 self
91 }
92
93 pub fn with_sec_axis(mut self, sec: SecAxis) -> Self {
95 self.sec_axis = Some(sec);
96 self
97 }
98
99 pub fn sec_axis(&self) -> Option<&SecAxis> {
101 self.sec_axis.as_ref()
102 }
103
104 fn format_label(&self, v: f64) -> String {
105 if let Some(f) = self.label_formatter {
106 f(v)
107 } else {
108 format_number(v)
109 }
110 }
111
112 fn expanded_range(&self) -> (f64, f64) {
113 let range = self.max - self.min;
114 let mult = self.expand.0;
115 let add = self.expand.1;
116 (self.min - range * mult - add, self.max + range * mult + add)
117 }
118}
119
120impl Default for ScaleContinuous {
121 fn default() -> Self {
122 Self::new()
123 }
124}
125
126impl Scale for ScaleContinuous {
127 fn aesthetic(&self) -> Aesthetic {
128 self.aesthetic.clone()
129 }
130
131 fn train(&mut self, values: &[Value]) {
132 for v in values {
133 if let Some(f) = v.as_f64() {
134 if f.is_finite() {
135 if f < self.min {
136 self.min = f;
137 }
138 if f > self.max {
139 self.max = f;
140 }
141 }
142 }
143 }
144 self.trained = true;
145 }
146
147 fn map(&self, value: &Value) -> f64 {
148 let f = match value.as_f64() {
149 Some(f) => f,
150 None => return 0.0,
151 };
152 let (emin, emax) = self.expanded_range();
153 let range = emax - emin;
154 if range.abs() < f64::EPSILON {
155 0.5
156 } else {
157 (f - emin) / range
158 }
159 }
160
161 fn breaks(&self) -> Vec<(f64, String)> {
162 if !self.trained || self.min > self.max {
163 return vec![];
164 }
165
166 if let Some(ref custom) = self.custom_breaks {
168 return custom
169 .iter()
170 .enumerate()
171 .map(|(i, &v)| {
172 let pos = self.map(&Value::Float(v));
173 let label = if let Some(ref labels) = self.custom_labels {
174 labels
175 .get(i)
176 .cloned()
177 .unwrap_or_else(|| self.format_label(v))
178 } else {
179 self.format_label(self.scale_transform.inverse(v))
180 };
181 (pos, label)
182 })
183 .collect();
184 }
185
186 let range = self.max - self.min;
187 if range.abs() < f64::EPSILON {
188 let label = self.format_label(self.scale_transform.inverse(self.min));
189 return vec![(0.5, label)];
190 }
191
192 let (emin, emax) = self.expanded_range();
194 let n_breaks = 5;
195 let raw_step = range / n_breaks as f64;
196 let step = nice_step(raw_step);
197
198 let start = (emin / step).ceil() * step;
199 let mut breaks = Vec::new();
200 let mut v = start;
201 while v <= emax + step * 0.001 {
202 let pos = self.map(&Value::Float(v));
203 let label = self.format_label(self.scale_transform.inverse(v));
205 breaks.push((pos, label));
206 v += step;
207 }
208 breaks
209 }
210
211 fn name(&self) -> &str {
212 &self.name
213 }
214
215 fn set_name(&mut self, name: &str) {
216 self.name = name.to_string();
217 }
218
219 fn transform(&self, value: &Value) -> Value {
220 self.scale_transform.transform_value(value)
221 }
222
223 fn sec_axis(&self) -> Option<&SecAxis> {
224 self.sec_axis.as_ref()
225 }
226
227 fn set_limits(&mut self, min: f64, max: f64) {
228 self.min = min;
229 self.max = max;
230 self.trained = true;
231 }
232
233 fn filter_limits(&self) -> Option<(f64, f64)> {
234 if self.filter_oob && self.trained {
235 Some((self.min, self.max))
236 } else {
237 None
238 }
239 }
240
241 fn domain(&self) -> Option<(f64, f64)> {
242 if self.trained {
243 Some((self.min, self.max))
244 } else {
245 None
246 }
247 }
248
249 fn clone_box(&self) -> Box<dyn Scale> {
250 Box::new(self.clone())
251 }
252
253 fn reset_training(&mut self) {
254 self.min = f64::INFINITY;
255 self.max = f64::NEG_INFINITY;
256 self.trained = false;
257 }
258}