typescript-closure-tools
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Command-line tools to convert closure-style JSDoc annotations to typescript, and to convert typescript sources to closure externs files
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text/typescript
/// <reference path="google.visualization.d.ts" />
function test_arrayToDataTable() {
var array = [
['City', 'Population', 'Area'],
['Rome', 2761477, 1285.31],
['Milan', 1324110, 181.76],
['Naples', 959574, 117.27],
['Turin', 907563, 130.17],
['Palermo', 655875, 158.9],
['Genoa', 607906, 243.60],
['Bologna', 380181, 140.7],
['Florence', 371282, 102.41],
['Fiumicino', 67370, 213.44],
['Anzio', 52192, 43.43],
['Ciampino', 38262, 11],
];
var dataTable = google.visualization.arrayToDataTable(array);
}
function test_ctorDataTable() {
var dataTable = new google.visualization.DataTable();
return dataTable;
}
function test_dataTableAddColumn() {
var dataTable = test_ctorDataTable();
dataTable.addColumn('string', 'First Column');
dataTable.addColumn('number', 'Second Column');
}
function test_dataTableAddRow() {
var dataTable = test_ctorDataTable();
dataTable.addRow(['row1', 6]);
dataTable.addRow(['row2', -1]);
dataTable.addRow(['row3', 0]);
}
function test_geoChart() {
var data = google.visualization.arrayToDataTable([
['Country', 'Population', 'Area Percentage'],
['France', 65700000, 50],
['Germany', 81890000, 27],
['Poland', 38540000, 23],
]);
var options = {
sizeAxis: { minValue: 0, maxValue: 100 },
region: '155', // Western Europe
displayMode: 'markers',
colorAxis: {colors: ['#e7711c', '#4374e0']} // orange to blue
};
var chart = new google.visualization.GeoChart(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_scatterChart() {
var data = google.visualization.arrayToDataTable([
['Age', 'Weight'],
[ 8, 12],
[ 4, 5.5],
[ 11, 14],
[ 4, 5],
[ 3, 3.5],
[ 6.5, 7]
]);
var options = {
title: 'Age vs. Weight comparison',
hAxis: {title: 'Age', minValue: 0, maxValue: 15},
vAxis: {title: 'Weight', minValue: 0, maxValue: 15},
legend: 'none'
};
var chart = new google.visualization.ScatterChart(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_barChart() {
var data = google.visualization.arrayToDataTable([
["Element", "Density", { role: "style" } ],
["Copper", 8.94, "#b87333"],
["Silver", 10.49, "silver"],
["Gold", 19.30, "gold"],
["Platinum", 21.45, "color: #e5e4e2"],
]);
var view = new google.visualization.DataView(data);
view.setColumns([0, 1,
{ calc: "stringify",
sourceColumn: 1,
type: "string",
role: "annotation" },
2]);
var options = {
title: "Density of Precious Metals, in g/cm^3",
width: 600,
height: 400,
bar: {groupWidth: "95%"},
legend: { position: "none" }
};
var chart = new google.visualization.BarChart(document.getElementById("barchart_values"));
chart.draw(view, options);
}
function test_histogram() {
var data = google.visualization.arrayToDataTable([
['Dinosaur', 'Length'],
['Acrocanthosaurus (top-spined lizard)', 12.2],
['Albertosaurus (Alberta lizard)', 9.1],
['Allosaurus (other lizard)', 12.2],
['Apatosaurus (deceptive lizard)', 22.9],
['Archaeopteryx (ancient wing)', 0.9],
['Argentinosaurus (Argentina lizard)', 36.6],
['Baryonyx (heavy claws)', 9.1],
['Brachiosaurus (arm lizard)', 30.5],
['Ceratosaurus (horned lizard)', 6.1],
['Coelophysis (hollow form)', 2.7],
['Compsognathus (elegant jaw)', 0.9],
['Deinonychus (terrible claw)', 2.7],
['Diplodocus (double beam)', 27.1],
['Dromicelomimus (emu mimic)', 3.4],
['Gallimimus (fowl mimic)', 5.5],
['Mamenchisaurus (Mamenchi lizard)', 21.0],
['Megalosaurus (big lizard)', 7.9],
['Microvenator (small hunter)', 1.2],
['Ornithomimus (bird mimic)', 4.6],
['Oviraptor (egg robber)', 1.5],
['Plateosaurus (flat lizard)', 7.9],
['Sauronithoides (narrow-clawed lizard)', 2.0],
['Seismosaurus (tremor lizard)', 45.7],
['Spinosaurus (spiny lizard)', 12.2],
['Supersaurus (super lizard)', 30.5],
['Tyrannosaurus (tyrant lizard)', 15.2],
['Ultrasaurus (ultra lizard)', 30.5],
['Velociraptor (swift robber)', 1.8]]);
var options = {
title: 'Lengths of dinosaurs, in meters',
legend: { position: 'none' }
};
var chart = new google.visualization.Histogram(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_areaChart() {
var data = google.visualization.arrayToDataTable([
['Year', 'Sales', 'Expenses'],
['2013', 1000, 400],
['2014', 1170, 460],
['2015', 660, 1120],
['2016', 1030, 540]
]);
var options = {
title: 'Company Performance',
hAxis: {title: 'Year', titleTextStyle: {color: '#333'}},
vAxis: {minValue: 0}
};
var chart = new google.visualization.AreaChart(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_steppedAreaChart() {
var data = google.visualization.arrayToDataTable([
['Director (Year)', 'Rotten Tomatoes', 'IMDB'],
['Alfred Hitchcock (1935)', 8.4, 7.9],
['Ralph Thomas (1959)', 6.9, 6.5],
['Don Sharp (1978)', 6.5, 6.4],
['James Hawes (2008)', 4.4, 6.2]
]);
var options = {
title: 'The decline of \'The 39 Steps\'',
vAxis: {title: 'Accumulated Rating'},
isStacked: true
};
var chart = new google.visualization.SteppedAreaChart(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_lineChart() {
var data = google.visualization.arrayToDataTable([
['Year', 'Sales', 'Expenses'],
['2004', 1000, 400],
['2005', 1170, 460],
['2006', 660, 1120],
['2007', 1030, 540]
]);
var options = {
title: 'Company Performance'
};
var chart = new google.visualization.LineChart(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_pieChart() {
var data = google.visualization.arrayToDataTable([
['Task', 'Hours per Day'],
['Work', 11],
['Eat', 2],
['Commute', 2],
['Watch TV', 2],
['Sleep', 7]
]);
var options = {
title: 'My Daily Activities'
};
var chart = new google.visualization.PieChart(document.getElementById('piechart'));
chart.draw(data, options);
}
function test_bubbleChart() {
var data = google.visualization.arrayToDataTable([
['ID', 'Life Expectancy', 'Fertility Rate', 'Region', 'Population'],
['CAN', 80.66, 1.67, 'North America', 33739900],
['DEU', 79.84, 1.36, 'Europe', 81902307],
['DNK', 78.6, 1.84, 'Europe', 5523095],
['EGY', 72.73, 2.78, 'Middle East', 79716203],
['GBR', 80.05, 2, 'Europe', 61801570],
['IRN', 72.49, 1.7, 'Middle East', 73137148],
['IRQ', 68.09, 4.77, 'Middle East', 31090763],
['ISR', 81.55, 2.96, 'Middle East', 7485600],
['RUS', 68.6, 1.54, 'Europe', 141850000],
['USA', 78.09, 2.05, 'North America', 307007000]
]);
var options = {
title: 'Correlation between life expectancy, fertility rate and population of some world countries (2010)',
hAxis: {title: 'Life Expectancy'},
vAxis: {title: 'Fertility Rate'},
bubble: {textStyle: {fontSize: 11}}
};
var chart = new google.visualization.BubbleChart(document.getElementById('chart_div'));
chart.draw(data, options);
}
function test_treemap() {
// Create and populate the data table.
var data = google.visualization.arrayToDataTable([
['Location', 'Parent', 'Market trade volume (size)', 'Market increase/decrease (color)'],
['Global', null, 0, 0],
['America', 'Global', 0, 0],
['Europe', 'Global', 0, 0],
['Asia', 'Global', 0, 0],
['Australia', 'Global', 0, 0],
['Africa', 'Global', 0, 0],
['Brazil', 'America', 11, 10],
['USA', 'America', 52, 31],
['Mexico', 'America', 24, 12],
['Canada', 'America', 16, -23],
['France', 'Europe', 42, -11],
['Germany', 'Europe', 31, -2],
['Sweden', 'Europe', 22, -13],
['Italy', 'Europe', 17, 4],
['UK', 'Europe', 21, -5],
['China', 'Asia', 36, 4],
['Japan', 'Asia', 20, -12],
['India', 'Asia', 40, 63],
['Laos', 'Asia', 4, 34],
['Mongolia', 'Asia', 1, -5],
['Israel', 'Asia', 12, 24],
['Iran', 'Asia', 18, 13],
['Pakistan', 'Asia', 11, -52],
['Egypt', 'Africa', 21, 0],
['S. Africa', 'Africa', 30, 43],
['Sudan', 'Africa', 12, 2],
['Congo', 'Africa', 10, 12],
['Zaire', 'Africa', 8, 10]
]);
// Create and draw the visualization.
var tree = new google.visualization.TreeMap(document.getElementById('chart_div'));
tree.draw(data, {
minColor: '#f00',
midColor: '#ddd',
maxColor: '#0d0',
headerHeight: 15,
fontColor: 'black',
showScale: true});
}
function test_table() {
var data = new google.visualization.DataTable();
data.addColumn('string', 'Name');
data.addColumn('number', 'Salary');
data.addColumn('boolean', 'Full Time Employee');
data.addRows([
['Mike', {v: 10000, f: '$10,000'}, true],
['Jim', {v:8000, f: '$8,000'}, false],
['Alice', {v: 12500, f: '$12,500'}, true],
['Bob', {v: 7000, f: '$7,000'}, true]
]);
var table = new google.visualization.Table(document.getElementById('table_div'));
table.draw(data, {showRowNumber: true});
}
function test_timeline() {
var container = document.getElementById('example1');
var chart = new google.visualization.Timeline(container);
var dataTable = new google.visualization.DataTable();
dataTable.addColumn({ type: 'string', id: 'President' });
dataTable.addColumn({ type: 'date', id: 'Start' });
dataTable.addColumn({ type: 'date', id: 'End' });
dataTable.addRows([
[ 'Washington', new Date(1789, 3, 29), new Date(1797, 2, 3) ],
[ 'Adams', new Date(1797, 2, 3), new Date(1801, 2, 3) ],
[ 'Jefferson', new Date(1801, 2, 3), new Date(1809, 2, 3) ]]);
chart.draw(dataTable);
}
function test_candlestickChart() {
var data = google.visualization.arrayToDataTable([
['Mon', 20, 28, 38, 45],
['Tue', 31, 38, 55, 66],
['Wed', 50, 55, 77, 80],
['Thu', 77, 77, 66, 50],
['Fri', 68, 66, 22, 15]
// Treat first row as data as well.
], true);
var options = {
legend:'none'
};
var chart = new google.visualization.CandlestickChart(document.getElementById('chart_div'));
chart.draw(data, options);
}