data = {
const allData = (d3.csvParse(await FileAttachment("12.22_reflectivity@3.csv").text(), d3.autoType))
.map(({ Reflectivity, Wavelength, Material}) => ({Material, iso: Material, Property: Reflectivity, Wavelength: Wavelength }))
return [
allData.filter(({ iso }) => iso === 'Fused quartz over aluminum substrate'),
allData.filter(({ iso }) => iso === 'Stainless steel, as received, dull'),
allData.filter(({ iso }) => iso === 'White paint'),
allData.filter(({ iso }) => iso === 'Aluminum evaporated film'),
allData.filter(({ iso }) => iso === 'Snow'),
allData.filter(({ iso }) => iso === 'Human skin, Caucasian'),
allData.filter(({ iso }) => iso === 'Red brick'),
allData.filter(({ iso }) => iso === 'Black paint'),
]
}
data2 = [[{"Material":"something"},{"Material":"somethingElSe"}]]
colors = {
const Material = data.map(d => d[0].Material)
return d3.scaleOrdinal(
Material,
d3.schemeSet2
)
}
data
data.filter(d=>d.Material=="Fused quartz over aluminum substrate")
xScale = {
var temp = [];
data.forEach(d=>d.forEach(e=>temp.push(e.Wavelength)))
const startWavelength = d3.min(temp);
const endWavelength = d3.max(temp);
return d3.scaleLog().domain(d3.extent(temp)).range([margin.left, width - margin.right])
}
yScale = {
return d3.scaleLinear(
[ 0, 1 ],
[ height - margin.bottom, margin.top ]
)
}
logFormat10 = xScale.tickFormat(10, "")
xScale.ticks(10).map(logFormat10)
xAxis = d3.axisBottom(xScale.copy().range([10, width - 10])).tickFormat(logFormat10)
yAxis = d3.axisLeft(yScale)
line = d3.line()
.x(d => xScale(d.Wavelength))
.y(d => yScale(d.Property))
.curve(d3.curveBasis)
materials = ["Fused quartz over aluminum substrate", "Stainless steel, as received, dull", "White paint", "Aluminum evaporated film"]
import {radio} from "@jashkenas/inputs"
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