Displaying Event Information

Preamble¶

In [ ]:
from plotapi import LineFight

LineFight.set_license("your username", "your license key")

Introduction¶

Let’s take a look at how we can display event content during our visualisation at different times. This can be useful for displaying additional information or images that are relevant to specific events.

Plotapi Line Fight is a beautiful and feature rich take on the popular Line Chart Race. As we can see, we have set our license details in the preamble with LineFight.set_license().

Dataset¶

Plotapi Line Fight expects at minimum a list of dictionary items, these will define the value of our segments over time.

In [ ]:
samples = [
    "order": 0, "name": "Sankey", "value": 10,
    "order": 0, "name": "Terminus", "value": 10,
    "order": 0, "name": "Chord", "value": 40,
    "order": 0, "name": "Bar Fight", "value": 90,
    "order": 0, "name": "Pie Fight", "value": 70,

    "order": 1, "name": "Sankey", "value": 30,
    "order": 1, "name": "Terminus", "value": 20,
    "order": 1, "name": "Chord", "value": 40,
    "order": 1, "name": "Bar Fight", "value": 120,
    "order": 1, "name": "Pie Fight", "value": 55,

    "order": 2, "name": "Sankey", "value": 35,
    "order": 2, "name": "Terminus", "value": 45,
    "order": 2, "name": "Chord", "value": 60,
    "order": 2, "name": "Bar Fight", "value": 85,
    "order": 2, "name": "Pie Fight", "value": 100,

    "order": 3, "name": "Sankey", "value": 25,
    "order": 3, "name": "Terminus", "value": 60,
    "order": 3, "name": "Chord", "value": 90,
    "order": 3, "name": "Bar Fight", "value": 50,
    "order": 3, "name": "Pie Fight", "value": 105,

    "order": 4, "name": "Sankey", "value": 60,
    "order": 4, "name": "Terminus", "value": 80,
    "order": 4, "name": "Chord", "value": 120,
    "order": 4, "name": "Bar Fight", "value": 30,
    "order": 4, "name": "Pie Fight", "value": 95,
]

We can see that each dictionary item has three properties:

  • order which determines with time period this item belongs to. This should be numerical, but can be formatted e.g. as dates.
  • name the name of the item, and the text that appears on the line.
  • value the value of the line at the associated point in time.

Next, we’ll start specifying event content to appear at certain points during our visualisation. Plotapi Line Fight expects a list of dictionary items to configure each event.

In [ ]:
events = [
    
        "order": 0,
        "event": '<p>Event information content can be <b>formatted with HTML</b>!</p><p>You can even include CSS - the <a href ="https://plotapi.com">power</a> of both are available.</p>'
    ,
    
        "order": 1,
        "event": '<b>Something Special</b><br><img src="https://datacrayon.com/datasets/pokemon_img/150.png"><p>Something special happened here, probably!</p>'
    ,
    
        "order": 4,
        "event": '<p>By specifying a <b>duration</b>, an event can be displayed for longer than the default value - much like this one!</p>',
        "duration": 10000
    
]

We can see that each dictionary item has three properties:

  • order, which determines with time period this event belongs to. This should correspond to the orders specified in the samples.
  • event, the HTML content of the event information popup.
  • duration, the maximum display duration for the corresponding event content.

By default, a Plotapi Line Fight visualisation will pause for the duration of an event. However, it can be configured to either continue running or wait for the user to press a continue button. Check the next section in the Plotapi Gallery for an example!

Visualisation¶

Here we’re using .show() which outputs to a Jupyter Notebook cell, however, we may want to output to an HTML file with .to_html() instead. More on the different output methods later!

Be sure to interact with the visualisation to see what the default settings can do!

In [10]:
LineFight(samples, event_pause=False,
         events=events).show()

Plotapi – Line Fight Diagram

#plotapi-chart-b3c3e235 path
fill: none;
stroke-linecap: round

#plotapi-chart-b3c3e235 .tick:first-of-type text
stroke-width: 0;

#plotapi-chart-b3c3e235 .x_axis .tick:not(:first-of-type) line
stroke-opacity: 0;

#plotapi-chart-b3c3e235 .y_axis .tick:not(:first-of-type) line
stroke: #999;
stroke-opacity: 0.5;
stroke-dasharray: 2,2

#plotapi-chart-b3c3e235 .y_axis .tick:first-of-type line
stroke-width: 0;
stroke: #999;
stroke-opacity: 0.4;

#plotapi-chart-b3c3e235 .x_axis .tick:first-of-type line
stroke-width: 0;
stroke: #999;
stroke-opacity: 0.4;

#plotapi-chart-b3c3e235 .tick text
fill: #999;

#plotapi-chart-b3c3e235 .domain
stroke-width: 0;

#plotapi-chart-b3c3e235 .title
stroke: #fcfcfc;
paint-order: stroke;
stroke-width: 3px;
stroke-linecap: butt;
stroke-linejoin: miter;
stroke-opacity: 0.4;

#plotapi-chart-b3c3e235 .current_order_text
font-size: 2em;
font-weight: bold;
fill-opacity: 0.4;
fill: #000;
font-size: 2em;
paint-order: stroke;
stroke: #fcfcfc;
stroke-width: 2px;
stroke-linecap: butt;
stroke-linejoin: miter;
stroke-opacity: 1;
font-weight: bold;

#plotapi-chart-b3c3e235
font-family: “Lato”, sans-serif;

text-align: center;

#plotapi-chart-b3c3e235 .event_detail_bg
fill: black;
opacity: 0.7;

#plotapi-chart-b3c3e235 .event_detail_text div,
#plotapi-chart-b3c3e235 .event_detail_text p,
#plotapi-chart-b3c3e235 .event_detail_text span
font-size: 16px;

#plotapi-chart-b3c3e235 text::selection,
#plotapi-chart-b3c3e235 div::selection,
#plotapi-chart-b3c3e235 img::selection,
#plotapi-chart-b3c3e235 p::selection
background: none;

(function() {
var jupyter_classic = !(typeof(IPython)===”undefined”);
var dependencies_paths =
‘d3’: ‘https://plotapi.com/static/js/d3.v7.min’,
‘pako’: ‘https://plotapi.com/static/js/pako.min’

if(jupyter_classic)
require.config(

paths: dependencies_paths

);

require([‘d3’, ‘pako’], function(d3, pako)
window.d3 = d3;
window.pako = pako;
plotapi_plot();
);

else{
var dependencies = Object.values(dependencies_paths);

function dependency_loader(dependencies_loaded){
var script = document.createElement(“script”);
script.type = “text/javascript”;
script.src = dependencies[dependencies_loaded] + “.js”;

script.onload = function ()
if(dependencies_loaded
update(elapsed);
);

function update(elapsed)
if (elapsed_time > 0)
d3.select(“#plotapi-chart-b3c3e235_svg .event_group”).transition().duration(250).style(“opacity”, 0);
elapsed_time = 0;
last_proc = elapsed;
else
if (sequence_index = 2000

let last_event_duration = 0;
if (elapsed – last_proc a.id);
contestants.sort((a, b) => b.current_value – a.current_value);
current_order = contestants.map((a) => a.id);
var delta = elapsed – last_proc;
draw(delta);
else if (sequence_index == sequence.length – 1)
last_event_duration = show_event();
contestants.sort((a, b) => b.current_value – a.current_value);
draw(2000);

sequence_index++;

if (sequence_index == sequence.length && !finished)
contestants.sort((a, b) => b.current_value – a.current_value);
update_minimap();
finished = true;
t.stop();

show_restart(last_event_duration);

}

function show_event()

var event_fired = false;

var element = events.find(item =>
return item.order === sequence_index
)

if(element == undefined)
return 0;

d3.select(“#plotapi-chart-b3c3e235_svg .event_detail_text”).html(function (d)
return (

‘ +
element.event +


);
);

d3.select(“#plotapi-chart-b3c3e235_svg .event_group”)
.interrupt()
.transition()
.duration(250)
.style(“opacity”, 1)
d3.select(“#plotapi-chart-b3c3e235_svg .event_group”)
.transition()
.delay(element.duration ? element.duration : 5000)
.duration(250)
.style(“opacity”, 0)
;

return element.duration ? element.duration : 5000

function update_current(current)
x_travel_scale = d3
.scaleLinear()
.domain([0, 2000])
.range([sequence[sequence_index-1], sequence[sequence_index]]);

if (sequence_index > 0)
update_minimap();

current_data = data.filter((d) => d.order == current);

for (var index = 0; index d.id == element.id);
if (contestant.length != 0)
if(sequence_index > 1 && contestant[0].line_data.length == 1)
contestant[0].icon.transition()
.duration(200)
.style(“opacity”, 1)
contestant[0].line_path.transition()
.duration(200)
.style(“opacity”, 1)
contestant[0].line_path_bg.transition()
.duration(200)
.style(“opacity”, 0.25)

if (!isNaN(element.value))
contestant[0].current_value = contestant[0].target_value;
contestant[0].target_value = element.value;
contestant[0].line_data.push(“x”:sequence[sequence_index],”y”: contestant[0].current_value)
contestant[0].travel_scale = d3
.scaleLinear()
.domain([0, 2000])
.range([contestant[0].current_value, element.value]);

else
var target_value = !isNaN(element.value) ? element.value : 0;

var x_pos = 0;

contestant_rect = d3
.select(“#plotapi-chart-b3c3e235_svg .bar_group”)
.append(“rect”)
.attr(“x”, 0)
.attr(“y”, y_scale(index))
.attr(“width”, x_pos)
.attr(“height”, bar_height)
.style(“fill”, color(element.id))

.style(“display”, “none”)
;

contestant_icon_image = icon(element.id);

if(contestant_icon_image == undefined)

contestant_icon = d3
.select(“#plotapi-chart-b3c3e235_svg .bar_group”)
.append(‘circle’)
.attr(“cx”, 0)
.attr(“cy”, y_scale(index) + icon_padding)
.attr(‘r’, icon_size/2)
.style(“opacity”, 1)
.style(“stroke-opacity”, 0.25)
.attr(“stroke-width”, 8)
.attr(“stroke”, darken_color(color(element.id),-0.5))
.attr(‘fill’, color(element.id));

else
contestant_icon = d3
.select(“#plotapi-chart-b3c3e235_svg .bar_group”)
.append(“image”)
.attr(“x”, 0)
.attr(“y”, y_scale(index) + icon_padding)
.attr(“width”, icon_size)
.attr(“height”, icon_size)
.style(“opacity”, 1)
.attr(“xlink:href”, contestant_icon_image)

contestant_icon
.on(“mouseover”, function (d, i)
d3.selectAll(“#plotapi-chart-b3c3e235_svg .bartext_group .grp”+element.id)
.transition()
.duration(200)
.style(“opacity”, 1);

)
.on(“mouseout”, function (d, i)
d3.selectAll(“#plotapi-chart-b3c3e235_svg .bartext_group .grp”+element.id)
.transition()
.transition()
.duration(200)
.style(“opacity”, 0);

);

contestant_line_path_bg = line_group.append(“path”)
.attr(“stroke-width”, 12)
.style(“stroke”, color(element.id))
.style(“opacity”, 0.25);

contestant_line_path = line_group.append(“path”)
.style(“stroke”, color(element.id))
.attr(“stroke-width”, 4)

if(sequence_index > 0)
contestant_icon.style(“opacity”, 0);
contestant_line_path.style(“opacity”, 0);
contestant_line_path_bg.style(“opacity”, 0);

contestant_text_value = d3
.select(“#plotapi-chart-b3c3e235_svg .bartext_group”)
.append(“text”)
.attr(“x”, x_pos – 5)
.attr(“y”, bar_text_upper_y(index))
.text(element.value)
.style(“text-anchor”, “end”)
.style(“dominant-baseline”, “central”)
.style(“fill”, “black”)
.attr(“opacity”,”0″)
.style(“font-size”, bartext_font_size + “px”)
.classed(“grp”+element.id,true);

contestant_text_name = d3
.select(“#plotapi-chart-b3c3e235_svg .bartext_group”)
.append(“text”)
.attr(“x”, 0)
.attr(“y”, bar_text_lower_y(index))
.text(unique_names[element.id])
.style(“text-anchor”, “end”)
.style(“dominant-baseline”, “central”)
.style(“fill”, “black”)
.attr(“opacity”,”0″)
.style(“font-weight”, “900”)
.style(“font-size”, bartext_font_size + “px”)
.classed(“grp”+element.id,true);

contestant =
id: element.id,
rect: contestant_rect,
line_data: [“x”:sequence[sequence_index],”y”: target_value],
line_path: contestant_line_path,
line_path_bg: contestant_line_path_bg,
icon_image: !(contestant_icon_image == undefined),
icon: contestant_icon,
text_value: contestant_text_value,
text_name: contestant_text_name,
current_value: target_value,
target_value: target_value,
travel_scale: d3
.scaleLinear()
.domain([0, 2000])
.range([target_value, target_value]),
;

contestants.push(contestant);

}

function draw(delta)
x_axis_current_x = x_travel_scale(delta);
x_scale = d3
.scaleLinear()
.domain([sequence[0], sequence[sequence.length-1]])
.range([0, 760.0]);

x_axis.scale(x_scale);
x_scale_current_x = x_scale(x_axis_current_x);

d3.select(“#plotapi-chart-b3c3e235_svg”)
.select(“.x_axis”)
.transition()
.duration(250)
.ease(d3.easeLinear)
.call(x_axis);

for (var index = 0; index d.current_value);

if (new_max != current_max)
current_max = new_max;

y_scale = d3
.scaleLinear()
.domain([10.0, 120.0])
.range([420, 0]);

y_axis.scale(y_scale);

d3.select(“#plotapi-chart-b3c3e235_svg”)
.select(“.y_axis”)
.transition()
.duration(250)
.ease(d3.easeLinear)
.call(y_axis);

var y_scale_current_y = y_scale(element.current_value);

element.line_data[element.line_data.length-1].y = element.current_value
element.line_data[element.line_data.length-1].x = x_axis_current_x

var line = d3.line()
.x(function(d,i) return x_scale(d.x);)
.y(function(d) return y_scale(d.y);)

var path = element.line_path
.attr(“d”, line(element.line_data))

var path_bg = element.line_path_bg
.attr(“d”, line(element.line_data))

element.text_name
.attr(
“x”,
x_scale_current_x –
text_padding –
(icon_size/2)
)
.attr(“y”, bar_text_lower_y(y_scale_current_y));

element.text_value
.attr(
“x”,
x_scale_current_x –
text_padding –
(icon_size/2)
)
.text(format_value(element.current_value))
.attr(“y”, bar_text_upper_y(y_scale_current_y));

element.rect.attr(“width”, x_scale_current_x);

element.icon
.attr(
“x”,
x_scale_current_x – (icon_size/2)
)
.attr(“y”, y_scale_current_y – ((icon_size)/2))
.attr(
“cx”,
x_scale_current_x
)
.attr(“cy”, y_scale_current_y);

if (
false

)
element.rect
.interrupt()
.transition()
.ease(d3.easeSinOut)
.duration(500)
.attr(“y”, y_scale(index));

element.icon
.interrupt()
.transition()
.ease(d3.easeSinOut)
.duration(500)
.attr(“y”, y_scale(index) + icon_padding);

element.text_name
.interrupt()
.transition()
.ease(d3.easeSinOut)
.duration(500)
.attr(“y”, bar_text_lower_y(index));

element.text_value
.interrupt()
.transition()
.ease(d3.easeSinOut)
.duration(500)
.attr(“y”, bar_text_upper_y(index));

}
}

function initialise()
contestants = [];
d3.select(“#plotapi-chart-b3c3e235_svg .line_group”)
.selectAll(“*”)
.remove();
d3.select(“#plotapi-chart-b3c3e235_svg .bar_group”)
.selectAll(“*”)
.remove();
d3.select(“#plotapi-chart-b3c3e235_svg .bartext_group”)
.selectAll(“*”)
.remove();

d3.select(“#plotapi-chart-b3c3e235_svg .minimap_group”)
.selectAll(“*”)
.remove();
last_proc = 0;
top_n = 5;

bar_padding = 0;
bar_height = d3.max([420 / 5 – bar_padding, 0]);
icon_padding =0;
text_padding = 5;
current_order = [];
last_order = [];
elapsed_time = 0;
sequence_index = 0;
current_max = null;
bartext_font_size = 14;
icon_size = 40
y_scale = d3
.scaleLinear()
.domain([10.0, 120.0])
.range([420, 0]);

update_current(sequence_index);

current_order_text.text(format_current_order(sequence[sequence_index]))

new_max = d3.max(contestants, (d) => d.current_value);

if (new_max != current_max)
current_max = new_max;

x_scale = d3
.scaleLinear()
.domain([sequence[0], sequence[sequence.length-1]])
.range([0, 760.0]);

x_axis = d3
.axisBottom()
.scale(x_scale)
.ticks(sequence.length-1, undefined)
.tickSize(-420)
.tickFormat((d) => d3.format(“,”)(d));

y_axis = d3
.axisLeft()
.scale(y_scale)
.ticks(7.6, undefined)
.tickSize(-760.0)
.tickFormat((d) => d3.format(“,”)(d));

d3.select(“#plotapi-chart-b3c3e235_svg .axis_group”)
.selectAll(“*”)
.remove();

var x_axis_line = d3
.select(“#plotapi-chart-b3c3e235_svg .axis_group”)
.append(“g”)
.attr(“class”, “axis x_axis”)
.attr(“transform”, `translate(0, 420)`)
.call(x_axis)
.selectAll(“.tick line”)
.classed(“origin”, (d) => d == 0);

var y_axis_line = d3
.select(“#plotapi-chart-b3c3e235_svg .axis_group”)
.append(“g”)
.attr(“class”, “axis y_axis”)
.attr(“transform”, `translate(0, 0))`)
.call(y_axis)

d3.select(“#plotapi-chart-b3c3e235_svg”)
.select(“.y_axis”)
.style(“text-anchor”, “start”)

function darken_color(color, factor)
return d3.color(color).darker(factor)

function color(index)
node = nodes[index];
if (node.color)
return node.color;

var ratio = index / (5);
return d3.interpolateRainbow(ratio);

function icon(index)
node = nodes[index];
if (node.icon)
return node.icon;

return undefined;

function bar_text_upper_y(index)
return (index-(icon_size/2) ) + icon_size * 0.75;

function bar_text_lower_y(index)
return (index-(icon_size/2) ) + icon_size * 0.25;

function update_minimap()
var minimap_order = contestants.slice();
minimap_order.sort((a, b) => b.current_value – a.current_value);
minimap_order = minimap_order.slice(0,6);

min_value = d3.min([minimap_order[minimap_order.length-1].current_value,0]);

minimap_order = minimap_order.slice(0,5);

if(min_value Math.abs(min_value) + item.current_value)
.reduce((prev, next) => prev + next);

else
current_sum = minimap_order
.map((item) => item.current_value)
.reduce((prev, next) => prev + next);

if (current_sum != 0)
var mm_bar_height = 42.0;
var mm_bar_drop_height = 126.0;

mm_y_scale = d3
.scaleLinear()
.domain([0, current_sum])
.range([0, mm_bar_height]);
mm_x_scale = d3
.scaleLinear()
.domain([0, sequence.length])
.range([0, 253.33333333333334]);

var mm_pos_x = mm_x_scale(sequence_index – 1);
var mm_width = mm_x_scale(1);

var mm_running_total = 0;
for (var mm_index = 0; mm_index < minimap_order.length; mm_index++)
const element = minimap_order[mm_index];

var mm_pos_y = mm_y_scale(mm_running_total);
if(min_value < 0)
var mm_height = mm_y_scale(element.current_value + Math.abs(min_value));

else
var mm_height = mm_y_scale(element.current_value);

d3.select("#plotapi-chart-b3c3e235_svg .minimap_group")
.append("rect")
.attr("x", 506.66666666666663 + mm_pos_x)
.attr("y", 420 – mm_bar_drop_height + mm_pos_y)
.attr("width", mm_width)
.attr("height", mm_height)
.style("fill", color(element.id))
.style("opacity", 0)
.transition()
.duration(500)
.style("opacity", 1)
.attr("y", 420 – mm_bar_height + mm_pos_y);

if(min_value < 0)
mm_running_total += element.current_value + Math.abs(min_value);

else
mm_running_total += element.current_value;

}

function restart()
d3.select("#plotapi-chart-b3c3e235_svg .event_group").interrupt().style("opacity", 0);

d3.select("#plotapi-chart-b3c3e235_svg .proceed").interrupt().attr("width", 0);

finished = false;
restart_opacity_lock = false;
skip_first = true;
t.stop();
t.restart(update, 0);

initialise();

d3.select("#plotapi-chart-b3c3e235_restart")
.transition()
.ease(d3.easeQuad)
.duration(500)
.attr("width", 20)
.attr("height", 20)
.attr("x", 715.0)
.attr("y", -20)
.style("opacity", 0.6);

function show_restart(last_event_duration)
d3.select("#plotapi-chart-b3c3e235_restart")
.transition()
.delay(last_event_duration)
.style(
"opacity",
0.6
);

d3.select("#plotapi-chart-b3c3e235_restart")
.transition()
.ease(d3.easeQuad)
.delay(last_event_duration)
.duration(500)
.attr("width", 100)
.attr("height", 100)
.attr("x", 330.0)
.attr("y", 160.0)
.style("opacity", 0.6)
.on("end", function (d, i) restart_opacity_lock = true; );

var event_detail_bg = d3.select("#plotapi-chart-b3c3e235_svg .event_group")
.append("rect")
.attr("x", 506.66666666666663)
.attr("y", 220)
.attr("width", 253.33333333333334)
.attr("height", 200)
.attr("rx", 5)
.attr("ry", 5)
.classed("event_detail_bg", true);

var event_detail_text = d3.select("#plotapi-chart-b3c3e235_svg .event_group")
.append("foreignObject")
.classed("event_detail_text", true)
.attr("x", 506.66666666666663)
.attr("y", 220)
.attr("width", 253.33333333333334)
.attr("height", 200)
.style("display", "block")
.style("color", "white")
.style("padding", "10px")
.html(function (d)
return "";
);

d3.select("#plotapi-chart-b3c3e235_svg .event_group").style("opacity", 0);

var event_detail_autoplay = d3.select("#plotapi-chart-b3c3e235_svg .event_group")
.append("rect")
.attr("x", 506.66666666666663)
.attr("y", 210)
.attr("width", 0)
.attr("rx", 5)
.attr("ry", 5)
.attr("height", 10)
.style("opacity", 0.7)
.style("fill", "#420a91")
.classed("proceed", true);

var current_order_text = d3
.select("#plotapi-chart-b3c3e235_svg .order_group")
.append("text")
.classed("current_order_text", true)
.attr("x", 755.0)
.attr("y", 415)
.text(format_current_order(sequence[sequence_index]))
.style("text-anchor", "end")
.style("dominant-baseline", "text-top");

initialise();

d3.select("#plotapi-chart-b3c3e235_svg .overlay_group")
.append("svg:a")
.attr("xlink:href", "https://plotapi.com")
.attr("target", "_blank")
.append("image")
.attr("xlink:href", "https://plotapi.com/gallery/icon/plotapi.svg")
.attr("width", 20)
.attr("height", 20)
.attr("x", 740.0)
.attr("y", -20)
.style("opacity", 0)
.attr("id", "plotapi-chart-b3c3e235_icon");

d3.select("#plotapi-chart-b3c3e235_icon")
.append("title")
.text("Produced with Plotapi");

d3.select("#plotapi-chart-b3c3e235_icon").on(
"mouseover",
function (d, i)
d3.select("#plotapi-chart-b3c3e235_icon").style("opacity", 1);

);

d3.select("#plotapi-chart-b3c3e235_icon").on(
"mouseout",
function (d, i)
d3.select("#plotapi-chart-b3c3e235_icon").style("opacity", 0.6);

);

d3.select("#plotapi-chart-b3c3e235_svg .overlay_group")
.append("svg:a")
.append("image")
.style("cursor", "pointer")
.attr("xlink:href", "https://plotapi.com/gallery/icon/restart.svg")
.attr("width", 20)
.attr("height", 20)
.attr("x", 715.0)
.attr("y", -20)
.style("opacity", 0)
.attr("id", "plotapi-chart-b3c3e235_restart");

d3.select("#plotapi-chart-b3c3e235_restart").on(
"click",
function (d, i)
restart();

);

d3.select("#plotapi-chart-b3c3e235_restart").on(
"mouseover",
function (d, i)
d3.select("#plotapi-chart-b3c3e235_restart").style("opacity", 1);

);

d3.select("#plotapi-chart-b3c3e235_restart").on(
"mouseout",
function (d, i)
d3.select("#plotapi-chart-b3c3e235_restart").style(
"opacity",
0.6
);

);

d3.select("#plotapi-chart-b3c3e235 svg").on(
"mouseenter",
function ()
d3.select("#plotapi-chart-b3c3e235_icon").style("opacity", 0.6);
if (!restart_opacity_lock)
d3.select("#plotapi-chart-b3c3e235_restart").style(
"opacity",
0.6
);

);

d3.select("#plotapi-chart-b3c3e235 svg").on(
"mouseleave",
function ()
d3.select("#plotapi-chart-b3c3e235_icon").style("opacity", 0);
d3.select("#plotapi-chart-b3c3e235_plus").style("opacity", 0);
d3.select("#plotapi-chart-b3c3e235_minus").style("opacity", 0);
if (!restart_opacity_lock)
d3.select("#plotapi-chart-b3c3e235_restart").style(
"opacity",
0
);

);

}

}());

You can do so much more than what’s presented in this example, and we’ll cover this in later sections. If you want to see the full list of growing features, check out the Plotapi Documentation.