Chained Transitions

This variation of a line chart demonstrates a sequence of chained transitions. Clicking on the radio buttons changes the displayed metric. First, the line transitions to the new values. Then, the axes rescale to fit the new data.

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  margin: auto;
  position: relative;
  width: 960px;
}

text {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.x.axis path {
  display: none;
}

.line {
  fill: none;
  stroke: steelblue;
  stroke-width: 1.5px;
}

form {
  position: absolute;
  right: 10px;
  top: 10px;
}

</style>
<form>
  <label><input type="radio" name="city" value="New York" checked> New York</label>
  <label><input type="radio" name="city" value="San Francisco"> San Francisco</label>
</form>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>

var margin = {top: 20, right: 80, bottom: 30, left: 50},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var city = "New York",
    parseDate = d3.time.format("%Y%m%d").parse;

var x = d3.time.scale()
    .range([0, width]);

var y = d3.scale.linear()
    .range([height, 0]);

var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom");

var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left");

var line = d3.svg.line()
    .interpolate("basis")
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d[city]); });

var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

d3.tsv("data.tsv", function(error, data) {
  if (error) throw error;

data.forEach(function(d) {
    d.date = parseDate(d.date);
    d["New York"] = +d["New York"];
    d["San Francisco"] = +d["San Francisco"];
  });

x.domain([data[0].date, data[data.length - 1].date]);
  y.domain(d3.extent(data, function(d) { return d[city]; }));

svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);

svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Temperature (ºF)");

svg.append("path")
      .datum(data)
      .attr("class", "line")
      .attr("d", line);

svg.append("text")
      .datum(data[data.length - 1])
      .attr("class", "label")
      .attr("transform", transform)
      .attr("x", 3)
      .attr("dy", ".35em")
      .text(city);

d3.selectAll("input").on("change", change);

var timeout = setTimeout(function() {
    d3.select("input[value=\"San Francisco\"]").property("checked", true).each(change);
  }, 2000);

function change() {
    clearTimeout(timeout);

city = this.value;

// First transition the line & label to the new city.
    var t0 = svg.transition().duration(750);
    t0.selectAll(".line").attr("d", line);
    t0.selectAll(".label").attr("transform", transform).text(city);

// Then transition the y-axis.
    y.domain(d3.extent(data, function(d) { return d[city]; }));
    var t1 = t0.transition();
    t1.selectAll(".line").attr("d", line);
    t1.selectAll(".label").attr("transform", transform);
    t1.selectAll(".y.axis").call(yAxis);
  }

function transform(d) {
    return "translate(" + x(d.date) + "," + y(d[city]) + ")";
  }
});

</script>

https://d3js.org/d3.v3.min.js