Angular2
The sources for this package are in (https://github.com/vimalavinisha/angular2-google-chart) repo. Please file issues and pull requests against this repo.
Demo Output
##Usage
node install
npm install angular2-google-chart
bower install
bower install google-chart
###1.In index.html page include following script
@Component({
selector : 'my-app',
directives: [GoogleChart],
template: `
<div id="line_chart",[chartData]="line_ChartData", [chartOptions] = "line_ChartOptions",chartType="LineChart",GoogleChart/>
<div id="bubble_chart",[chartData]="bubble_ChartData", [chartOptions] = "bubble_ChartOptions",chartType="BubbleChart",GoogleChart/>
<div id="scatter_chart",[chartData]="scatter_ChartData", [chartOptions] = "scatter_ChartOptions",chartType="ScatterChart",GoogleChart/>
<div id="candle_chart",[chartData]="candle_ChartData", [chartOptions] = "candle_ChartOptions",chartType="CandlestickChart",GoogleChart/>
<div id="pie_chart",[chartData]="pie_ChartData", [chartOptions] = "pie_ChartOptions",chartType="PieChart",GoogleChart/>
<div id="bar_chart",[chartData]="bar_ChartData", [chartOptions] = "bar_ChartOptions",chartType="BarChart",GoogleChart/>`
})
export class AppComponent {
public line_ChartData = [
['Year', 'Sales', 'Expenses'],
['2004', 1000, 400],
['2005', 1170, 460],
['2006', 660, 1120],
['2007', 1030, 540]];
public bubble_ChartData = [
['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]];
public scatter_ChartData = [
['Date', 'Sales Percentage'],
[new Date(2016, 3, 22), 78],
[new Date(2016, 3, 21,9,30,2),88],
[new Date(2016, 3, 20), 67],
[new Date(2016, 3, 19,8,34,7), 98],
[new Date(2016, 3, 18,15,34,7),95],
[new Date(2016, 3, 16,7,30,45),89],
[new Date(2016, 3, 16,15,40,35),68]
];
public candle_ChartData = [
['Day','Low','Opening value','Closing value','High'],
['Mon', 28, 28, 38, 38],
['Tue', 38, 38, 55, 55],
['Wed', 55, 55, 77, 77],
['Thu', 77, 77, 66, 66],
['Fri', 66, 66, 22, 22]
];
public pie_ChartData = [
['Task', 'Hours per Day'],
['Work', 11],
['Eat', 2],
['Commute', 2],
['Watch TV', 2],
['Sleep', 7] ];
public bar_ChartData = [
['City', '2010 Population', '2000 Population'],
['New York City, NY', 8175000, 8008000],
['Los Angeles, CA', 3792000, 3694000],
['Chicago, IL', 2695000, 2896000],
['Houston, TX', 2099000, 1953000],
['Philadelphia, PA', 1526000, 1517000]];
public line_ChartOptions = {
title: 'Company Performance',
curveType: 'function',
legend: { position: 'bottom'
}
};
public bubble_ChartOptions= {
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}}
};
public candle_ChartOptions = {
legend: 'none',
bar: { groupWidth: '100%' }, // Remove space between bars.
candlestick: {
fallingColor: { strokeWidth: 0, fill: '#a52714' }, // red
risingColor: { strokeWidth: 0, fill: '#0f9d58' } // green
}
};
public scatter_ChartOptions = {
legend: { position: 'bottom'
}
title: 'Company Sales Percentage',
};
public bar_ChartOptions = {
title: 'Population of Largest U.S. Cities',
chartArea: {width: '50%'},
hAxis: {
title: 'Total Population',
minValue: 0,
textStyle: {
bold: true,
fontSize: 12,
color: '#4d4d4d'
},
titleTextStyle: {
bold: true,
fontSize: 18,
color: '#4d4d4d'
}
},
vAxis: {
title: 'City',
textStyle: {
fontSize: 14,
bold: true,
color: '#848484'
},
titleTextStyle: {
fontSize: 14,
bold: true,
color: '#848484'
}
}
};
public pie_ChartOptions = {
title: 'My Daily Activities'
width: 900,
height: 500
};
}
###3 Example Charts