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Added dz! macro usage example
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This example was built from existing example "bubble_chart.ts".
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@humphreylee
humphreylee authored Oct 24, 2024
1 parent 3fff21f commit 1542720
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174 changes: 174 additions & 0 deletions gallery/src/scatter/bubble_chart2.rs.rs
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use charming::{
component::{Axis, Grid, Legend, Title},
df, dz,
element::{
Color, ColorStop, Emphasis, EmphasisFocus, Formatter, ItemStyle, Label, LabelPosition,
LineStyle, LineStyleType, SplitLine,
},
series::Scatter,
Chart,
HtmlRenderer,
};

fn main() {
let chartx = chart();
let mut renderer = HtmlRenderer::new("My Chart", 1000, 800);
renderer.save(&chartx, "./chart.html").unwrap();

}

pub fn chart() -> Chart {
/*
let data0 = df![
[28604, 77, 17096869, "Australia", 1990],
[31163, 77.4, 27662440, "Canada", 1990],
[1516, 68, 1154605773, "China", 1990],
[13670, 74.7, 10582082, "Cuba", 1990],
[28599, 75, 4986705, "Finland", 1990],
[29476, 77.1, 56943299, "France", 1990],
[31476, 75.4, 78958237, "Germany", 1990],
[28666, 78.1, 254830, "Iceland", 1990],
[1777, 57.7, 870601776, "India", 1990],
[29550, 79.1, 122249285, "Japan", 1990],
[2076, 67.9, 20194354, "North Korea", 1990],
[12087, 72, 42972254, "South Korea", 1990],
[24021, 75.4, 3397534, "New Zealand", 1990],
[43296, 76.8, 4240375, "Norway", 1990],
[10088, 70.8, 38195258, "Poland", 1990],
[19349, 69.6, 147568552, "Russia", 1990],
[10670, 67.3, 53994605, "Turkey", 1990],
[26424, 75.7, 57110117, "United Kingdom", 1990],
[37062, 75.4, 252847810, "United States", 1990]
];
let data1 = df![
[44056, 81.8, 23968973, "Australia", 2015],
[43294, 81.7, 35939927, "Canada", 2015],
[13334, 76.9, 1376048943, "China", 2015],
[21291, 78.5, 11389562, "Cuba", 2015],
[38923, 80.8, 5503457, "Finland", 2015],
[37599, 81.9, 64395345, "France", 2015],
[44053, 81.1, 80688545, "Germany", 2015],
[42182, 82.8, 329425, "Iceland", 2015],
[5903, 66.8, 1311050527, "India", 2015],
[36162, 83.5, 126573481, "Japan", 2015],
[1390, 71.4, 25155317, "North Korea", 2015],
[34644, 80.7, 50293439, "South Korea", 2015],
[34186, 80.6, 4528526, "New Zealand", 2015],
[64304, 81.6, 5210967, "Norway", 2015],
[24787, 77.3, 38611794, "Poland", 2015],
[23038, 73.13, 143456918, "Russia", 2015],
[19360, 76.5, 78665830, "Turkey", 2015],
[38225, 81.4, 64715810, "United Kingdom", 2015],
[53354, 79.1, 321773631, "United States", 2015]
];
*/
let data0_gdp = vec![28604, 31163, 1516, 13670, 28599, 29476, 31476, 28666, 1777, 29550, 2076, 12087, 24021, 43296, 10088, 19349, 10670, 26424, 37062];
let data0_expectancy = vec![77.0, 77.4, 68.0, 74.7, 75.0, 77.1, 75.4, 78.1, 57.7, 79.1, 67.9, 72.0, 75.4, 76.8, 70.8, 69.6, 67.3, 75.7, 75.4];
let data0_population = vec![17096869, 27662440, 1154605773, 10582082, 4986705, 56943299, 78958237, 254830, 870601776, 122249285, 20194354, 42972254, 3397534, 4240375, 38195258, 147568552, 53994605, 57110117, 252847810];
let data0_country = vec!["Australia", "Canada", "China", "Cuba", "Finland", "France", "Germany", "Iceland", "India", "Japan", "North Korea", "South Korea", "New Zealand", "Norway", "Poland", "Russia", "Turkey", "United Kingdom", "United States"];
let data0_year = vec![1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990];

let data1_gdp = vec![44056, 43294, 13334, 21291, 38923, 37599, 44053, 42182, 5903, 36162, 1390, 34644, 34186, 64304, 24787, 23038, 19360, 38225, 53354];
let data1_expectancy = vec![81.8, 81.7, 76.9, 78.5, 80.8, 81.9, 81.1, 82.8, 66.8, 83.5, 71.4, 80.7, 80.6, 81.6, 77.3, 73.13, 76.5, 81.4, 79.1];
let data1_population = vec![23968973, 35939927, 1376048943, 11389562, 5503457, 64395345, 80688545, 329425, 1311050527, 126573481, 25155317, 50293439, 4528526, 5210967, 38611794, 143456918, 78665830, 64715810, 321773631];
let data1_country = vec!["Australia", "Canada", "China", "Cuba", "Finland", "France", "Germany", "Iceland", "India", "Japan", "North Korea", "South Korea", "New Zealand", "Norway", "Poland", "Russia", "Turkey", "United Kingdom", "United States"];
let data1_year = vec![2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015];

let data0 = dz!(data0_gdp, data0_expectancy, data0_population, data0_country, data0_year);
let data1 = dz!(data1_gdp, data1_expectancy, data1_population, data1_country, data1_year);

Chart::new()
.title(
Title::new()
.text("Life Expectancy and GDP by Country")
.left("5%")
.top("3%"),
)
.legend(
Legend::new()
.right("10%")
.top("3%")
.data(vec!["1990", "2015"]),
)
.grid(Grid::new().left("8%").top("10%"))
.background_color(Color::RadialGradient {
x: 0.3,
y: 0.3,
r: 0.8,
color_stops: vec![ColorStop::new(0, "#f7f8fa"), ColorStop::new(1, "#cdd0d5")],
})
.x_axis(
Axis::new().split_line(
SplitLine::new().line_style(LineStyle::new().type_(LineStyleType::Dashed)),
),
)
.y_axis(
Axis::new()
.split_line(
SplitLine::new().line_style(LineStyle::new().type_(LineStyleType::Dashed)),
)
.scale(true),
)
.series(
Scatter::new()
.name("1990")
.data(data0)
.symbol_size("function (data) { return Math.sqrt(data[2]) / 5e2; }")
.emphasis(
Emphasis::new().focus(EmphasisFocus::Series).label(
Label::new()
.show(true)
.formatter(Formatter::Function(
"function (param) { return param.data[3]; }".into(),
))
.position(LabelPosition::Top),
),
)
.item_style(
ItemStyle::new()
.shadow_blur(10)
.shadow_color("rgba(120, 36, 50, 0.5)")
.shadow_offset_y(5)
.color(Color::RadialGradient {
x: 0.4,
y: 0.3,
r: 1.,
color_stops: vec![
ColorStop::new(0, "rgb(251, 118, 123)"),
ColorStop::new(1, "rgb(204, 46, 72)"),
],
}),
),
)
.series(
Scatter::new()
.name("2015")
.data(data1)
.symbol_size("function (data) { return Math.sqrt(data[2]) / 5e2; }")
.emphasis(
Emphasis::new().focus(EmphasisFocus::Series).label(
Label::new()
.show(true)
.formatter(Formatter::Function(
"function (param) { return param.data[3]; }".into(),
))
.position(LabelPosition::Top),
),
)
.item_style(
ItemStyle::new()
.shadow_blur(10)
.shadow_color("rgba(25, 100, 150, 0.5)")
.shadow_offset_y(5)
.color(Color::RadialGradient {
x: 0.4,
y: 0.3,
r: 1.,
color_stops: vec![
ColorStop::new(0, "rgb(129, 227, 238)"),
ColorStop::new(1, "rgb(25, 183, 207)"),
],
}),
),
)
}

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