use crate::aes::Aesthetic;
use crate::data::Value;
use super::color::RGBAColor;
use super::util::{format_number, nice_step};
use super::Scale;
#[derive(Clone, Debug)]
pub struct ScaleColorGradient2 {
aesthetic: Aesthetic,
name: String,
low: RGBAColor,
mid: RGBAColor,
high: RGBAColor,
midpoint: f64,
min: f64,
max: f64,
}
impl ScaleColorGradient2 {
pub fn new(aesthetic: Aesthetic) -> Self {
ScaleColorGradient2 {
aesthetic,
name: String::new(),
low: RGBAColor::new(0, 0, 255),
mid: RGBAColor::new(255, 255, 255),
high: RGBAColor::new(255, 0, 0),
midpoint: 0.0,
min: f64::INFINITY,
max: f64::NEG_INFINITY,
}
}
pub fn with_colors(mut self, low: RGBAColor, mid: RGBAColor, high: RGBAColor) -> Self {
self.low = low;
self.mid = mid;
self.high = high;
self
}
pub fn with_midpoint(mut self, midpoint: f64) -> Self {
self.midpoint = midpoint;
self
}
}
impl Scale for ScaleColorGradient2 {
fn aesthetic(&self) -> Aesthetic {
self.aesthetic.clone()
}
fn train(&mut self, values: &[Value]) {
for v in values {
if let Some(f) = v.as_f64() {
if f.is_finite() {
if f < self.min {
self.min = f;
}
if f > self.max {
self.max = f;
}
}
}
}
}
fn map(&self, value: &Value) -> f64 {
let f = match value.as_f64() {
Some(f) => f,
None => return 0.0,
};
let range = self.max - self.min;
if range.abs() < f64::EPSILON {
0.5
} else {
(f - self.min) / range
}
}
fn breaks(&self) -> Vec<(f64, String)> {
if self.min > self.max || !self.min.is_finite() || !self.max.is_finite() {
return vec![];
}
let range = self.max - self.min;
if range.abs() < f64::EPSILON {
return vec![(0.5, format_number(self.min))];
}
let n_breaks = 5;
let raw_step = range / n_breaks as f64;
let step = nice_step(raw_step);
let start = (self.min / step).ceil() * step;
let mut breaks = Vec::new();
let mut v = start;
while v <= self.max + step * 0.001 {
let pos = self.map(&Value::Float(v));
breaks.push((pos, format_number(v)));
v += step;
}
breaks
}
fn name(&self) -> &str {
&self.name
}
fn set_name(&mut self, name: &str) {
self.name = name.to_string();
}
fn map_to_color(&self, value: &Value) -> Option<(u8, u8, u8)> {
let f = value.as_f64()?;
let c = if f <= self.midpoint {
let range = self.midpoint - self.min;
let t = if range.abs() < f64::EPSILON {
0.0
} else {
(f - self.min) / range
};
self.low.lerp(&self.mid, t)
} else {
let range = self.max - self.midpoint;
let t = if range.abs() < f64::EPSILON {
1.0
} else {
(f - self.midpoint) / range
};
self.mid.lerp(&self.high, t)
};
Some((c.r, c.g, c.b))
}
fn domain(&self) -> Option<(f64, f64)> {
if self.min.is_finite() && self.max.is_finite() && self.min <= self.max {
Some((self.min, self.max))
} else {
None
}
}
fn clone_box(&self) -> Box<dyn Scale> {
Box::new(self.clone())
}
fn reset_training(&mut self) {
self.min = f64::INFINITY;
self.max = f64::NEG_INFINITY;
}
}