ngx-line-chart

Good-looking, easy-to-use, customizable Angular line chart library for 1 or 2 data sets with separate or common y-axes.

Features

• 1 or 2 data sets
• Nice-looking styles by default that can be customized
• Produces scalable SVG image
• Each value will be shown on top of the data point
• Only single dependency (deepmerge) without any transitive dependencies
• Supported by all mobile and desktop browsers including IE9+ (Can I use: SVG)
• AoT-compatible

Limitations

• Only 1 or 2 data sets allowed
• X-axis values need to be the same for both data sets
• X and Y values need to be numbers, though you can present them as any string with xLabelFunction or yLabelFunction

Installation

To install this library, run:

$ npm install ngx-line-chart # Add --save if using npm version < 5 

and then add the module in AppModule as an imported module:

import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
 
import { AppComponent } from './app.component';
 
// Import the module
import { NgxLineChartModule } from 'ngx-line-chart';
 
@NgModule({
  declarations: [
    AppComponent
  ],
  imports: [
    BrowserModule,
    NgxLineChartModule // Add module here
  ],
  providers: [],
  bootstrap: [AppComponent]
})
export class AppModule { }

Now a component with selector ngx-line-chart is registered and is usable in the templates.

Usage

Module only contains single component, called ngx-line-chart to be used in the templates:

<ngx-line-chart [dataSets]="myDataSets" [xLabelFunction]="formXAxisValue.bind(this)"></ngx-line-chart>

export class MyComponent {
    myDataSets = [{
        name: 'likes',
        points: [
            {x: 10, y: 100},
            {x: 20, y: 500}
        ]
    }];
    
    formatXAxisValue(value: number) {
        return `Value ${value}`;
    }
}

See below for details about all of the inputs.

Inputs

Input	Type	Example value	Description
dataSets	IDataSet[]	[{name: 'likes', points: [{x: 10, y: 100}, {x: 20, y: 500}, {x: 50, y: 40}]]	Array of 1 or 2 data sets each containing a name and the actual data points (x and y as numbers). There data sets will be used to determine x-axis values along with the corresponding y-axis for each data set.
xLabelFunction	(value: number) => string	(value: number) => value.toString() (this is the default)	This function will be called for each value of the x-axis labels for it to be formatted. Default function shows the values as they are. You may use this to format values as for example dates. See example above for how to pass a method (bind is needed).
yLabelFunction	(value: number) => string	(value: number) => value.toString() (this is the default)	This function will be called for each value of the y-axis labels for it to be formatted. Default function shows the values as they are.
xAxisValues	number[]	number	[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100] or 10
style	IChartStyle		See Chart details below.

Styles

Layout level section explains how to specify the size for the chart where as the details allow you to specify the colors and widths used within the chart.

Layout level

The most important thing to note is that the line chart will always fulfill the element it is inserted into. What this means in practice is that if you have something like

<div style="width: 600px; height: 400px;">
    <ngx-line-chart ...></ngx-line-chart>
</div>

The chart will now be 600px x 400px as it fulfills the container. Please note that the container doesn't of course need to have size specified as pixels but instead it can be declared as percentages etc.

Chart details

Details of the chart can be fine tuned with style input. default-style.ts gives a good example on how the object passed should look like:

import { IChartStyle } from './chart-style';
 
export const defaultStyle: IChartStyle = {
  dataSetStyles: [
    {
      circle: {
        color: '#0051BA',
        radius: 4
      },
      labels: {
        value: {
          color: '#0051BA',
          fontSize: 18
        },
        yAxis: {
          color: '#0051BA',
          fontSize: 18
        }
      },
      line: {
        color: 'rgba(0, 81, 186, 0.4)',
        width: 5
      }
    },
    {
      circle: {
        color: '#1F1F21',
        radius: 4
      },
      labels: {
        value: {
          color: '#1F1F21',
          fontSize: 18
        },
        yAxis: {
          color: '#575759',
          fontSize: 18
        }
      },
      line: {
        color: 'rgba(87, 87, 89, 0.4)',
        width: 5
      }
    }
  ],
  xAxis: {
    labels: {
      color: '#8C8C8E',
      fontSize: 24,
      angle: 60
    }
  }
};

These are also the default values and can be partially or fully altered by providing the input as follows:

<ngx-line-chart [style]="chartStyles"></ngx-line-chart>

export class MyComponent {
    chartStyles = {
        xAxis: {
            labels: {
                color: 'red'
            }
        }
    }
}

This will now merge the specified red color for x-axis labels with the default styles.

For colors all the ways possible to declare a color in CSS will work. This includes:

• common color names such as red and blue
• RGB values as hexa and integer versions such as #FFFFFF, #242424, rgb(255, 255, 255) and rgba(60, 60, 60, 0.5)
• HSL colors such as hsl(120, 100%, 50%) and hsla(120, 100%, 25%, 0.4)

Future

Plan is to generalize the library as going forward. Things to be included contain at least:

• Calculate the text-size and align stuff on the image based on it
• More styling options (positioning of stuff)
• More than two data sets
• Custom y-axis splitting (now just 0%-50%-100%)
• Relaxing the common x-axis value requirement for different data sets

Pull requests would be greatly appreciated for any of these or any other features you feel would be useful.

Development

To run the demo project:

1. Run npm run build in the root directory to generate dist/ (npm install first, of course)
2. Go to demo/ and run npm install
3. Go to root and run npm run prepare-demo. This copies dist/ folder to the node_modules/ of demo application. This is essentially what npm link would achieve with symbolic link, but there's a known problem with Angular and npm link.
4. Go back to the demo/ and start dev server with npm start

So to conclude:

npm install
npm run build
cd demo
npm install
cd ..
npm run prepare-demo
cd demo
npm start

To generate all *.js, *.d.ts and *.metadata.json files:

$ npm run build

To lint all *.ts files:

$ npm run lint

License

MIT © Roope Hakulinen