Published
Edited
May 11, 2022
Fork of WebGL Shader
1 fork
Insert cell
Insert cell
Insert cell
canvas = shader({ width, height: 200, iTime: true, visibility, uniforms: {amp: "float", frec: "float"} })`

float plot(vec2 st, float pct){
return smoothstep( pct-0.564, pct, st.y) -
smoothstep( pct, pct+0.012, st.y);
}

void mainImage(out vec4 fragColor,in vec2 fragCoord) {
vec2 st = fragCoord.xy/iResolution.xy;
float y = smoothstep(amp,0.660,st.x) - smoothstep(frec,0.840,st.x);
vec3 color = vec3(y);
fragColor = vec4(st.x,st.y,0.0,1.0);

// Plot a line
float pct = plot(st, y);
color = (1.0-pct)*color+pct*vec3(0.0,1.0,0.0);

fragColor = vec4(color,1.0);
}
`
Insert cell
canvas.update({amp: amp, frec:frec})
Insert cell
Insert cell
canvas2 = shader({
width:300,
height: 600,
iTime: true,
visibility,
uniforms: { amp: "float", frec: "float" }
})`

void mainImage(out vec4 fragColor,in vec2 fragCoord) {
vec2 st = fragCoord.xy/iResolution.xy;
st.x *= iResolution.x/iResolution.y;
vec3 color = vec3(0.0);
float d = 0.0;

// Remap the space to -1. to 1.
st = st *amp-0.2;

// Make the distance field
// d = length( abs(st)-.2 );
d = length( abs(st));
// d = length( min(abs(st)-.3,0.) );
// d = length( max(abs(st)-.3,0.) );

// Visualize the distance field
fragColor = vec4(vec3(fract(d*10.0)),1.0);

// Drawing with the distance field
//fragColor = vec4(vec3( step(.3,d) ),1.0);
//fragColor = vec4(vec3( step(.3,d) * step(d,.4)),1.0);
// fragColor = vec4(vec3( smoothstep(.3,.4,d)* smoothstep(.6,.5,d)) ,1.0);
}
`
Insert cell
canvas2.update({amp: amp, frec:frec})
Insert cell
Insert cell
frec = Generators.observe((notify) => {
osc.on("/frec", (msg) => {
notify(msg.args[0]);
});
})
Insert cell
amp = Generators.observe((notify) => {
osc.on("/amp", (msg) => {
notify(msg.args[0]);
});
})
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more