user
viewof y_axis = Inputs.toggle({ label: "Uniform Y axis:", value: true })
viewof charts = view`
<style>
.grid{
display:grid;
grid-template-columns: 1fr 1fr;
}
</style>
<div class="grid">
${[
"colors",
orderedSelections.map((colorpair) => {
let pic = makeBoxPlot(colorsBins.get(colorpair), color_pair_labels, {
width: 550,
height: 450,
margin: {},
bottomAxis: true,
yAxisLabel: "#couplexes/rxn",
tickWidth,
strokeWidth: 1.5,
meanSigma: true,
notches: false,
colorpair: colorpair
});
return pic;
})
]}
`
colorsBins = d3.group(
[...processEmudata(makeEmudataIds(amulator_data))].map((e) => ({
...e,
...calculateBoxPlotSingle(e.Name, e.sampleId, e.samples, tickWidth, e.Type)
})),
(e) => e.Type
)
global_range = {
return d3.extent(
emudata_from_amulator
.map((e) => e.colors.map((e) => e.values.couplex))
.flat()
.flat()
);
}
global_range
mutable filetable = null
emudata_from_amulator = {
if (url != null) {
const bardata = [];
// processing all urls urls -> return a concatenated json array (in a promise)
// wanted to extract it as a function or as a mutable variable -> to resuse it
// emuing cannot be passed as an argument; mutable is not calculated
let dataemu = await emuing().then((result) => {
// mutable emudata = result; // the workaround
return result;
});
return dataemu;
}
}
// lambda reconverted to float -> workaround the django database has integer type Todo: update database
amulator_data = emudata_from_amulator.map((sample) => {
let c = [];
sample.colors.map((color) => {
let r = [];
let l = [];
color.values.rightlambda.map((rlambda) => {
r.push(rlambda / 1000);
});
color.values.leftlambda.map((llambda) => {
l.push(llambda / 1000);
});
c.push(
Object.assign({}, color, {
values: Object.assign({}, color.values, {
rightlambda: r,
leftlambda: l
})
})
);
});
return Object.assign({}, sample, {
colors: c
});
})
color_pair_labels = make_color_pair_labels(colorsBins)
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
