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Add dz! macro to construct (multiple dimensions) ECharts DataFrame from any number of data vectors/ columns #100

Merged
merged 15 commits into from
Oct 28, 2024
66 changes: 66 additions & 0 deletions charming/src/datatype/dataframe.rs
Original file line number Diff line number Diff line change
Expand Up @@ -69,3 +69,69 @@ macro_rules! df {
]
};
}

/// Code below is modified (using df! as reference) from ChatGPT generated code.
/// The main objective of macro dz! is to transpose mixed data type vectors,
/// aka columns or dimensions into ECharts dataframe format.

#[macro_export]
macro_rules! dz {
/*
Handle named vectors
let d1 = vec![44056, 13334];
let d2 = vec![81.8, 76.9];
let d3 = vec![23968973, 1376048943];
let d4 = vec!["Australia", "China"];
let d5 = vec![2015, 2015];
let df = dz!(d1, d2, d3, d4, d5);
>>df = [Value(Array([Number(Integer(44056)), Number(Float(81.8)),
Number(Integer(23968973)), String("Australia"), Number(Integer(2015))])),
Value(Array([Number(Integer(13334)), Number(Float(76.9)),
Number(Integer(1376048943)), String("China"), Number(Integer(2015))]))]
*/
($($v:expr),* $(,)?) => {{
let mut df = Vec::new();
let mut iterators: Vec<Box<dyn Iterator<Item = $crate::datatype::CompositeValue>>> = vec![
$(Box::new($v.into_iter().map(|x| $crate::datatype::CompositeValue::from(x))),)*
];

let len = iterators.first().map(|v| v.size_hint().0).unwrap_or(0);

for _ in 0..len {
let mut row = Vec::new();
for iter in iterators.iter_mut() {
if let Some(value) = iter.next() {
row.push(value);
}
}
let z = $crate::datatype::DataPoint::from(row);
df.push(z);
}
df
}};

/*
Handle direct input of vectors
let df = dz!([44056, 13334], [81.8, 76.9], [23968973, 1376048943], ["Australia", "China"], [2015, 2015]);
>>df = [Value(Array([Number(Integer(44056)), Number(Float(81.8)),
Number(Integer(23968973)), String("Australia"), Number(Integer(2015))])),
Value(Array([Number(Integer(13334)), Number(Float(76.9)),
Number(Integer(1376048943)), String("China"), Number(Integer(2015))]))]
*/
($([$($v:expr),*]),* $(,)?) => {{
let mut df = Vec::new();
let mut iterators: Vec<_> = vec![$(vec![$($v.into()),*].into_iter()),*];

let len = iterators.first().map(|v| v.len()).unwrap_or(0);
for _ in 0..len {
let mut row = Vec::new();
for iter in &mut iterators {
if let Some($crate::datatype::CompositeValue) = iter.next() {
row.push($crate::datatype::CompositeValue);
}
}
df.push(row);
}
df
}};
}
53 changes: 53 additions & 0 deletions charming/tests/dz_test.rs
Original file line number Diff line number Diff line change
@@ -0,0 +1,53 @@
#[cfg(test)]
mod tests {

use charming::{df, dz};

/// Testing using snippt of data from https://github.com/yuankunzhang/charming/blob/main/gallery/src/scatter/bubble_chart.rs.
/// dz_test1 is testing input as named_variable of various data type vectors.
/// dz_test2 is testing input as direct input of various data type vectors.
/// The result of dz! are checked againt df!'s result - which should be equal.

#[test]
fn dz_test1() {
// Set up test data
let d1 = vec![44056, 13334];
let d2 = vec![81.8, 76.9];
let d3 = vec![23968973, 1376048943];
let d4 = vec!["Australia", "China"];
let d5 = vec![2015, 2015];

// expected output
let df_out = df![
[44056, 81.8, 23968973, "Australia", 2015],
[13334, 76.9, 1376048943, "China", 2015]
];

// Call the macro
let dz_out = dz!(d1, d2, d3, d4, d5);

// Assert expected output
assert_eq!(dz_out, df_out);
}

#[test]
fn dz_test2() {
// expected output
let df_out = df![
[44056, 81.8, 23968973, "Australia", 2015],
[13334, 76.9, 1376048943, "China", 2015]
];

// Call the macro
let dz_out = dz!(
[44056, 13334],
[81.8, 76.9],
[23968973, 1376048943],
["Australia", "China"],
[2015, 2015]
);

// Assert expected output
assert_eq!(dz_out, df_out);
}
}
174 changes: 174 additions & 0 deletions gallery/src/scatter/bubble_chart2.rs.rs
Original file line number Diff line number Diff line change
@@ -0,0 +1,174 @@
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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