I have D3 + HTML code which I want to Embed in Plotly Dash . Can someone help ?
For Example if this the code that populates a scatter plot using D3 , how should I callback using plotly dash ? I already have a dashboard built using plotly dash . So when apply button is clicked this javascript should be called and wll display the scatter graph.
<svg width="500" height="350"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 50},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
function make_x_axis() {
return d3.axisBottom(x)
// .scale(x)
// .orient("bottom")
.ticks(5)
}
function make_y_axis() {
return d3.axisLeft(y)
// .scale(y)
// .orient("left")
.ticks(5)
}
let points = d3.range(1, 10).map(function(i) {
return [i * width / 10, 50 + Math.random() * (height - 100)];
});
var x = d3.scaleLinear()
.rangeRound([0, width]);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var xAxis = d3.axisBottom(x),
yAxis = d3.axisLeft(y);
var line = d3.line()
.x(function(d) { return x(d[0]); })
.y(function(d) { return y(d[1]); });
let drag = d3.drag()
.on('start', dragstarted)
.on('drag', dragged)
.on('end', dragended);
svg.append('rect')
.attr('class', 'zoom')
.attr('cursor', 'move')
.attr('fill', 'none')
.attr('pointer-events', 'all')
.attr('width', width)
.attr('height', height)
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
// svg.append("g")
// .attr("class", "grid")
// .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
// .call(make_x_axis()
// .tickSize(-height, 0, 0)
// .tickFormat("")
// )
//
// svg.append("g")
// .attr("class", "grid")
// .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
// // .attr("transform", "translate(0," + (height + margin.top) + ")")
// .call(make_y_axis()
// .tickSize(-width, 0, 0)
// .tickFormat("")
// )
svg.append("g")
.attr("class", "grid")
.attr("transform", `translate(${margin.left}, ${height + margin.top})`)
.call(make_x_axis()
.tickSize(-height)
.tickFormat("")
)
// add the Y gridlines
svg.append("g")
.attr("class", "grid")
.attr("transform", `translate(${margin.left}, ${margin.top})`)
.call(make_y_axis()
.tickSize(-width)
.tickFormat("")
)
var focus = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
x.domain(d3.extent(points, function(d) { return d[0]; }));
y.domain(d3.extent(points, function(d) { return d[1]; }));
focus.append("path")
.datum(points)
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("stroke-width", 1.5)
.attr("d", line);
focus.selectAll('circle')
.data(points)
.enter()
.append('circle')
.attr('r', 5.0)
.attr('cx', function(d) { return x(d[0]); })
.attr('cy', function(d) { return y(d[1]); })
.style('cursor', 'pointer')
.style('fill', 'steelblue');
focus.selectAll('circle')
.call(drag);
focus.append('g')
.attr('class', 'axis axis--x')
.attr('transform', 'translate(0,' + height + ')')
.call(xAxis);
focus.append('g')
.attr('class', 'axis axis--y')
.call(yAxis);
function dragstarted(d) {
d3.select(this).raise().classed('active', true);
}
function dragged(d) {
//d[0] = x.invert(d3.event.x);
d[1] = y.invert(d3.event.y);
d3.select(this)
//.attr('cx', x(d[0]))
.attr('cy', y(d[1]))
focus.select('path').attr('d', line);
}
function dragended(d) {
d3.select(this).classed('active', false);
}
</script>
Usage.py
import dash
#import dash_alternative_viz as dav
import dash_html_components as html
from dash.dependencies import Input, Output
#import random
external_scripts = [
"https://d3js.org/d3.v4.min.js"
]
app = dash.Dash(external_scripts=external_scripts)
app.layout = html.Div(
[html.Div(id="content", className="app-header"),
html.Button(id="button", children="Button")]
)
@app.callback(
Output("content", "style"),
[dash.dependencies.Input("button", "n_clicks")],
)
def update_output(n_clicks):
if n_clicks:
return {"display": "block"}
return {"display": "no graph"}
if __name__ == "__main__":
app.run_server( port = 8052, debug=True)
header.css
app-header {
height: 350px;
width: 50%;
background-color: powderblue;
}
Thanks, Meera