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angular2-google-chart

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    angular2-google-chart

google chart directive for angular2


Version published
Weekly downloads
160
decreased by-18.37%
Maintainers
2
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Source

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

angular2-google-chart-v1 0 5 ##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

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Last updated on 30 Jan 2017

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