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AAChartModel logoAAChartKit-Swift

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

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Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.

📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.

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Open-source JavaScript charting library behind Plotly and Dash

Quick Overview

AAChartKit-Swift is an elegant and powerful charting library for iOS, iPadOS, and macOS. It provides an easy way to add interactive and customizable charts to Swift applications, offering a wide range of chart types and styling options.

Pros

  • Easy to use with a simple and intuitive API
  • Supports a wide variety of chart types (line, bar, area, pie, etc.)
  • Highly customizable with numerous styling and animation options
  • Responsive design that adapts to different screen sizes and orientations

Cons

  • Limited to Apple platforms (iOS, iPadOS, macOS)
  • May have a steeper learning curve for complex customizations
  • Documentation could be more comprehensive for advanced features
  • Dependency on third-party JavaScript library (Highcharts) for rendering

Code Examples

  1. Creating a basic line chart:
let chartView = AAChartView()
let chartModel = AAChartModel()
    .chartType(.line)
    .title("Line Chart")
    .series([
        AASeriesElement()
            .name("Tokyo")
            .data([7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6])
    ])
chartView.aa_drawChartWithChartModel(chartModel)
  1. Customizing chart appearance:
let chartModel = AAChartModel()
    .chartType(.column)
    .title("Customized Column Chart")
    .yAxisTitle("Values")
    .colorsTheme(["#fe117c", "#ffc069", "#06caf4", "#7dffc0"])
    .series([
        AASeriesElement()
            .name("Data")
            .data([3, 4, 5, 6, 1, 2, 3])
    ])
  1. Adding multiple series to a chart:
let chartModel = AAChartModel()
    .chartType(.area)
    .title("Multi-Series Area Chart")
    .series([
        AASeriesElement()
            .name("Tokyo")
            .data([7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]),
        AASeriesElement()
            .name("New York")
            .data([0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5])
    ])

Getting Started

  1. Install AAChartKit-Swift using CocoaPods by adding to your Podfile:

    pod 'AAInfographics', :git => 'https://github.com/AAChartModel/AAChartKit-Swift.git'
    
  2. Import the library in your Swift file:

    import AAInfographics
    
  3. Create a chart view and add it to your view hierarchy:

    let chartView = AAChartView()
    view.addSubview(chartView)
    
  4. Configure and draw the chart:

    let chartModel = AAChartModel()
        .chartType(.line)
        .title("My First Chart")
        .series([
            AASeriesElement()
                .name("Data")
                .data([1, 2, 3, 4, 5])
        ])
    chartView.aa_drawChartWithChartModel(chartModel)
    

Competitor Comparisons

27,556

Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.

Pros of Charts

  • More mature and widely adopted project with a larger community
  • Offers a wider range of chart types and customization options
  • Better documentation and more comprehensive examples

Cons of Charts

  • Steeper learning curve due to its extensive feature set
  • Larger codebase, which may impact app size and performance
  • Less frequent updates compared to AAChartKit-Swift

Code Comparison

Charts:

let chartView = LineChartView()
let dataSet = LineChartDataSet(entries: entries, label: "Line Chart")
let data = LineChartData(dataSet: dataSet)
chartView.data = data

AAChartKit-Swift:

let chartModel = AAChartModel()
    .chartType(.line)
    .title("Line Chart")
    .series([
        AASeriesElement()
            .name("Data")
            .data(entries)
    ])
let chartView = AAChartView()
chartView.aa_drawChartWithChartModel(chartModel)

Both libraries offer similar functionality for creating charts, but Charts provides more granular control over chart elements, while AAChartKit-Swift offers a more concise, configuration-based approach. Charts may be preferred for complex, highly customized visualizations, while AAChartKit-Swift might be more suitable for quickly implementing standard charts with less code.

📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

Pros of AAChartKit

  • Supports Objective-C, making it suitable for older iOS projects
  • More established project with a longer history and potentially more stability
  • Larger community and more contributors

Cons of AAChartKit

  • May have a steeper learning curve for developers new to Objective-C
  • Potentially slower performance compared to Swift-based alternatives
  • Less modern syntax and features compared to Swift

Code Comparison

AAChartKit (Objective-C):

AAChartModel *aaChartModel = AAChartModel.new
.chartTypeSet(AAChartTypeColumn)
.titleSet(@"Chart Title")
.seriesSet(@[
    AASeriesElement.new
    .nameSet(@"Tokyo")
    .dataSet(@[@7.0, @6.9, @9.5, @14.5])
]);

AAChartKit-Swift:

let aaChartModel = AAChartModel()
    .chartType(.column)
    .title("Chart Title")
    .series([
        AASeriesElement()
            .name("Tokyo")
            .data([7.0, 6.9, 9.5, 14.5])
    ])

The code comparison shows that AAChartKit-Swift offers a more concise and modern syntax, leveraging Swift's features. AAChartKit, being Objective-C based, uses a slightly more verbose syntax with method chaining.

Both libraries provide similar functionality for creating charts, but the choice between them may depend on the project's requirements, existing codebase, and developer preferences.

A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.

Pros of MPAndroidChart

  • More mature and feature-rich library with extensive documentation
  • Supports a wider range of chart types and customization options
  • Larger community and more frequent updates

Cons of MPAndroidChart

  • Steeper learning curve due to its extensive API
  • Limited to Android platform, while AAChartKit-Swift is for iOS

Code Comparison

MPAndroidChart:

val chart = LineChart(context)
val entries = ArrayList<Entry>()
// Add entries...
val dataSet = LineDataSet(entries, "Label")
val lineData = LineData(dataSet)
chart.data = lineData
chart.invalidate()

AAChartKit-Swift:

let chartView = AAChartView()
let chartModel = AAChartModel()
    .chartType(.line)
    .title("Chart Title")
    .series([
        AASeriesElement()
            .name("Series Name")
            .data([1, 2, 3, 4, 5])
    ])
chartView.aa_drawChartWithChartModel(chartModel)

Both libraries offer straightforward ways to create charts, but MPAndroidChart requires more manual setup of data structures, while AAChartKit-Swift provides a more declarative approach with method chaining.

Android Graph Library for creating zoomable and scrollable line and bar graphs.

Pros of GraphView

  • Lightweight and focused specifically on graph/chart functionality for Android
  • Simpler learning curve for basic graph creation
  • More customization options for individual data points and labels

Cons of GraphView

  • Limited to Android platform, while AAChartKit-Swift is for iOS
  • Fewer chart types available compared to AAChartKit-Swift's extensive options
  • Less polished default styling and animations

Code Comparison

GraphView (Java):

GraphView graph = (GraphView) findViewById(R.id.graph);
LineGraphSeries<DataPoint> series = new LineGraphSeries<>(new DataPoint[] {
    new DataPoint(0, 1),
    new DataPoint(1, 5),
    new DataPoint(2, 3)
});
graph.addSeries(series);

AAChartKit-Swift (Swift):

let aaChartView = AAChartView()
let aaChartModel = AAChartModel()
    .chartType(.line)
    .series([
        AASeriesElement()
            .data([1, 5, 3])
    ])
aaChartView.aa_drawChartWithChartModel(aaChartModel)

Both libraries offer straightforward ways to create basic charts, but AAChartKit-Swift provides a more declarative API style. GraphView requires more manual setup for data points, while AAChartKit-Swift allows for simpler data input. AAChartKit-Swift also includes built-in styling and animation options that GraphView may require additional configuration to achieve.

Interactive plotting library for .NET

Pros of ScottPlot

  • Cross-platform compatibility: Supports multiple frameworks including .NET, WPF, and WinForms
  • Extensive documentation and examples available
  • Highly customizable with a wide range of plot types and styling options

Cons of ScottPlot

  • Steeper learning curve for beginners compared to AAChartKit-Swift
  • Less focus on mobile platforms, primarily desktop-oriented
  • May require more code to create basic charts

Code Comparison

AAChartKit-Swift:

let aaChartModel = AAChartModel()
    .chartType(.area)
    .title("Title")
    .subtitle("Subtitle")
    .series([
        AASeriesElement()
            .name("Tokyo")
            .data([7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6])
    ])

ScottPlot:

var plt = new ScottPlot.Plot(600, 400);
double[] dataX = { 1, 2, 3, 4, 5 };
double[] dataY = { 1, 4, 9, 16, 25 };
plt.AddScatter(dataX, dataY);
plt.SaveFig("quickstart.png");
16,856

Open-source JavaScript charting library behind Plotly and Dash

Pros of plotly.js

  • More versatile and supports a wider range of chart types
  • Better documentation and community support
  • Can be used with multiple programming languages and frameworks

Cons of plotly.js

  • Larger file size and potentially slower performance
  • Steeper learning curve for beginners
  • May require more setup and configuration

Code Comparison

AAChartKit-Swift:

let aaChartModel = AAChartModel()
    .chartType(.area)
    .title("Chart Title")
    .series([
        AASeriesElement()
            .name("Series 1")
            .data([1, 2, 3, 4, 5])
    ])

plotly.js:

var data = [{
  x: [1, 2, 3, 4, 5],
  y: [1, 2, 3, 4, 5],
  type: 'scatter'
}];

var layout = {title: 'Chart Title'};
Plotly.newPlot('myDiv', data, layout);

Both libraries offer easy-to-use APIs for creating charts, but plotly.js provides more flexibility in terms of customization and chart types. AAChartKit-Swift is specifically designed for iOS development with Swift, while plotly.js can be used across various platforms and languages. The code examples demonstrate the different approaches to creating a simple chart, with AAChartKit-Swift using a more declarative style and plotly.js using a more traditional JavaScript object-based approach.

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README

AAInfographics-LOGO

AAInfographics

Support






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English Document 🇬🇧 | 简体中文文档 🇨🇳

There is the link of Objective-C version of AAChartKit as follow

https://github.com/AAChartModel/AAChartKit

Preface

AAInfographics is the Swift language version of AAChartKit which is object-oriented, a set of easy-to-use, extremely elegant graphics drawing controls,based on the popular open source front-end chart library Highcharts. It makes it very fast to add interactive charts to your mobile projects. It supports single touch-drag for data inspection, multi-touch for zooming, and advanced responsiveness for your apps .


Features

  • 🎂 Environment friendly. Support iOS 、iPadOS and macOS. Totally support Swift language, and there are more types version such as Objective-C language version AAChartKit 、 Java language version AAChartCore 、Kotlin language version AAInfographics . To get more details you can see the source code links list.

  • 🚀 Powerful and easy to use. It supports column chart, bar chart, area chart, areaspline chart, line chart, spline chart, radar chart, polar chart, pie chart, bubble chart, pyramid chart, funnel chart, columnrange chart, arearange chart, mixed chart and other graphics. Support for more chart types is planned.

  • 📝 Modern Declarative Syntax. Unlike previous imperative programming techniques, drawing any custom chart in AAChartKit, you don't need to care about the inner implementation details which is annoying && boring. Describe what you want, you will get what you described.

  • 🎮 Interactive and animated. The charts animation effect is exquisite, delicate, smooth and beautiful.

  • ⛓ Chain programming. Supports chain programming syntax like SwiftUI and Jetpack Compose.

  • 🦋 Minimalist. AAChartView + AAChartModel = Chart. The AAChartKit follows a minimalist formula: Chart view + Chart model = The chart you want, just like the powerful and beautiful charts framework AAChartKit.

  • 🖱 Interaction event callback. Support for monitoring user click events and single finger move over events, which can be used to achieve double charts linked-working and even multiple charts linkage, as well as other more complex custom user interaction effects.


Appreciation

Column ChartColumn Range ChartArea Chart
image1image1image1
Line ChartStep Area ChartStep Line Chart
image1image1image1
Spline ChartAreaspline ChartStacked Polar Chart
image1image1image1
Bubble ChartArearange Average Value ChartColumn Mixed Line Chart
image1image1image1
Scatter ChartBoxplot ChartMirror Column Chart
image1image1image1

Installation

CocoaPods (recommended)

  1. Add following content
pod 'AAInfographics', :git => 'https://github.com/AAChartModel/AAChartKit-Swift.git'

to your project Podfile.

  1. Run pod install or pod update.
  2. Import AAInfographics.

Carthage

  1. Add following content
github "https://github.com/AAChartModel/AAChartKit-Swift.git" ~> 1.0

to your project Cartfile.

  1. Run carthage bootstrap or carthage update.
  2. Import AAInfographics.

Manually (old school way)

  1. Download whole project demo of AAInfographicsDemo
  2. Drag the folder AAInfographics into your project.

Usage

  1. Creat the instance object of chart view:AAChartView
        let chartViewWidth  = self.view.frame.size.width
        let chartViewHeight = self.view.frame.size.height
        aaChartView = AAChartView()
        aaChartView?.frame = CGRect(x: 0,
                                    y: 60,
                                    width: chartViewWidth,
                                    height: chartViewHeight)
        // set the content height of aachartView
        // aaChartView?.contentHeight = self.view.frame.size.height
        self.view.addSubview(aaChartView!)
  1. Configure the properties of chart model:AAChartModel
        let aaChartModel = AAChartModel()
            .chartType(.area)//Can be any of the chart types listed under `AAChartType`.
            .animationType(.bounce)
            .title("TITLE")//The chart title
            .subtitle("subtitle")//The chart subtitle
            .dataLabelsEnabled(false) //Enable or disable the data labels. Defaults to false
            .tooltipValueSuffix("USD")//the value suffix of the chart tooltip
            .categories(["Jan", "Feb", "Mar", "Apr", "May", "Jun",
                         "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"])
            .colorsTheme(["#fe117c","#ffc069","#06caf4","#7dffc0"])
            .series([
                AASeriesElement()
                    .name("Tokyo")
                    .data([7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]),
                AASeriesElement()
                    .name("New York")
                    .data([0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5]),
                AASeriesElement()
                    .name("Berlin")
                    .data([0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0]),
                AASeriesElement()
                    .name("London")
                    .data([3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]),
                    ])
  1. Draw the chart(This method is called only for the first time after you create an AAChartView instance object)
        //The chart view object calls the instance object of AAChartModel and draws the final graphic
        aaChartView?.aa_drawChartWithChartModel(aaChartModel!)

🌹🌹🌹Congratulations! Everything was done!!! You will get what you want!!!

Update chart content

if you want to refresh chart content,you should do something as follow.According to your actual needs, select the function that fits you.

  • Only refresh the chart data(This method is recommended to be called for updating the series data dynamically)
        //Only refresh the chart series data
        aaChartView?.aa_onlyRefreshTheChartDataWithChartModelSeries(chartModelSeriesArray)
  • Refresh the chart, minus the chart data (this method is recommended for subsequent refreshes after the first drawing of graphics has completed. If you want to update the chart data only, you should use the function aa_onlyRefreshTheChartDataWithChartModelSeries)
        //Refresh the chart after the AAChartModel whole content is updated
        aaChartView?.aa_refreshChartWholeContentWithChartModel(aaChartModel!)

Infographics sample

  • line chart

line chart

  • column chart

IMG_1873.JPG

  • bar chart

bar chart

  • special area chart one

IMG_1869.JPG

  • special area chart two

IMG_1871.JPG

  • special area chart three

IMG_1863.JPG

  • polar chart

polar chart

  • radar chart

radar chart

  • pie chart

pie chart

  • bubble chart

bubble chart

  • scatter chart

scatter chart

  • arearange chart

arearange chart

  • step area chart

step area chart

  • mixed chart

mixed chart

More graphics

  • Note: The following DEMO picture is a GIF dynamic picture which has a size of around 6M. If you don't see any dynamic preview, then this is because the picture resources were not fully loaded. In such a case please be patient and wait for the contents to finish loading. Maybe you need to reload this page.

AAChartKit-Live

Special instructions

Support user click events and move over events

you can monitor the user cick or finger move over events message through implementing delegate function for AAChartView instance object

 //Set AAChartView events delegate
 aaChartView!.delegate = self as AAChartViewDelegate
 


 //implement AAChartView user click or finger move over events delegate function
extension BasicChartVC: AAChartViewDelegate {
    open func aaChartView(_ aaChartView: AAChartView, clickEventMessage: AAClickEventMessageModel) {
        print(
            """

            clicked point series element name: \(clickEventMessage.name ?? "")
            🖱🖱🖱WARNING!!!!!!!!!!!!!!!!!!!! Click Event Message !!!!!!!!!!!!!!!!!!!! WARNING🖱🖱🖱
            ==========================================================================================
            ------------------------------------------------------------------------------------------
            user finger moved over!!!,get the move over event message: {
            category = \(String(describing: clickEventMessage.category))
            index = \(String(describing: clickEventMessage.index))
            name = \(String(describing: clickEventMessage.name))
            offset = \(String(describing: clickEventMessage.offset))
            x = \(String(describing: clickEventMessage.x))
            y = \(String(describing: clickEventMessage.y))
            }
            +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
            
            
            """
        )
    }

    open func aaChartView(_ aaChartView: AAChartView, moveOverEventMessage: AAMoveOverEventMessageModel) {
        print(
            """

            moved over point series element name: \(moveOverEventMessage.name ?? "")
            ✋🏻✋🏻✋🏻✋🏻✋🏻WARNING!!!!!!!!!!!!!! Move Over Event Message !!!!!!!!!!!!!! WARNING✋🏻✋🏻✋🏻✋🏻✋🏻
            ==========================================================================================
            ------------------------------------------------------------------------------------------
            user finger moved over!!!,get the move over event message: {
            category = \(String(describing: moveOverEventMessage.category))
            index = \(String(describing: moveOverEventMessage.index))
            name = \(String(describing: moveOverEventMessage.name))
            offset = \(String(describing: moveOverEventMessage.offset))
            x = \(String(describing: moveOverEventMessage.x))
            y = \(String(describing: moveOverEventMessage.y))
            }
            +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
            
            
            """
        )
    }
}

The received user click or finger move over events contain following content

public class AAEventMessageModel: NSObject {
    public var name: String?
    public var x: Float?
    public var y: Float?
    public var category: String?
    public var offset: [String: Any]?
    public var index: Int?
}

public class AAClickEventMessageModel: AAEventMessageModel {}

public class AAMoveOverEventMessageModel: AAEventMessageModel {}

Monitoring user click events can achieve a variety of custom functions. For example, you can implement Double Charts Linkage through user click event callbacks. The example effects are as follows

doubleChartsLinkage

Support for customizing the style of chart AATooltip through JavaScript function

As we all know, AAInfographics support using HTML String. Most of time, the headerFormat 、pointFormat、footerFormat HTML string is enough for customizing chart tooltip string content, However, sometimes the needs of APP is so weird to satified, in this time, you can even customize the chart tooltip style through JavaScript function.

For example

  • configuring AATooltip instance object properties as follow:
         aaOptions.tooltip?
            .useHTML(true)
            .formatter("""
function () {
        return ' 🌕 🌖 🌗 🌘 🌑 🌒 🌓 🌔 <br/> '
        + ' Support JavaScript Function Just Right Now !!! <br/> '
        + ' The Gold Price For <b>2020 '
        +  this.x
        + ' </b> Is <b> '
        +  this.y
        + ' </b> Dollars ';
        }
""")
            .valueDecimals(2)//设置取值精确到小数点后几位//设置取值精确到小数点后几位
            .backgroundColor("#000000")
            .borderColor("#000000")
            .style(AAStyle()
                .color("#FFD700")
                .fontSize(12)
        )

you can get the customized tooltip style chart like this👇

  • configuring AATooltip instance object properties as follow:
        aaOptions.tooltip?
            .useHTML(true)
            .formatter(#"""
function () {
        let wholeContentStr ='<span style=\"' + 'color:lightGray; font-size:13px\"' + '>◉ Time: ' + this.x + ' year</span><br/>';
        let length = this.points.length;
        for (let i = 0; i < length; i++) {
            let thisPoint = this.points[i];
            let yValue = thisPoint.y;
            if (yValue != 0) {
                let spanStyleStartStr = '<span style=\"' + 'color:'+ thisPoint.color + '; font-size:13px\"' + '>◉ ';
                let spanStyleEndStr = '</span> <br/>';
                wholeContentStr += spanStyleStartStr + thisPoint.series.name + ': ' + thisPoint.y + '℃' + spanStyleEndStr;
            }
        }
        return wholeContentStr;
    }
"""#)
            .backgroundColor("#050505")
            .borderColor("#050505")

you can get the customized tooltip style chart like this👇 colorfulTooltipChart

Support value range segmentation

  • chart with value range segmentation bands 🎀 plotBandsChart

  • chart with value range segmentation lines 🧶 plotLinesChart

  • chart with value range segmentation zones 🧱 seriesZonesChart

Support scrolling update chart data

Support data sorting with animation effect

Supported chart type for now

public enum AAChartType: String {
    case column          //Column series display one column per value along an X axis.
    case bar             //A bar series is a special type of column series where the columns are horizontal.
    case area            //The area series type.
    case areaspline      //The area spline series is an area series where the graph between the points is smoothed into a spline.
    case line            //A line series displays information as a series of data points connected by straight line segments.
    case spline          //A spline series is a special type of line series, where the segments between the data points are smoothed.
    case scatter         //A scatter plot uses cartesian coordinates to display values for two variables for a set of data.
    case pie             //A pie chart is a circular graphic which is divided into slices to illustrate numerical proportion.
    case bubble          //A bubble series is a three dimensional series type where each point renders an X, Y and Z value. Each points is drawn as a bubble where the position along the X and Y axes mark the X and Y values, and the size of the bubble relates to the Z value.
    case pyramid         //A pyramid series is a special type of funnel, without neck and reversed by default.
    case funnel          //Funnel charts are a type of chart often used to visualize stages in a sales project, where the top are the initial stages with the most clients. It requires that the modules/funnel.js file is loaded.
    case columnrange     //The column range is a cartesian series type with higher and lower Y values along an X axis. To display horizontal bars, set chart.inverted to true.
    case arearange       //The area range series is a carteseian series with higher and lower values for each point along an X axis, where the area between the values is shaded.
    case areasplinerange //The area spline range is a cartesian series type with higher and lower Y values along an X axis. The area inside the range is colored, and the graph outlining the area is a smoothed spline.
    case boxplot         //A box plot is a convenient way of depicting groups of data through their five-number summaries: the smallest observation (sample minimum), lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation (sample maximum).
    case waterfall       //A waterfall chart displays sequentially introduced positive or negative values in cumulative columns.
    case polygon         //A polygon series can be used to draw any freeform shape in the cartesian coordinate system. A fill is applied with the color option, and stroke is applied through lineWidth and lineColor options.
    case gauge           //Gauges are circular plots displaying one or more values with a dial pointing to values along the perimeter.
    case errorbar        //Error bars are a graphical representation of the variability of data and are used on graphs to indicate the error, or uncertainty in a reported measurement.
}

Supported zoom gesture types for now

enum AAChartZoomType: String {
    case none = "none"
    case x    = "x"
    case y    = "y"
    case xy   = "xy"
}

Suppported line dash style types for now

public enum AAChartLineDashStyleType: String {
    case solid           //———————————————————————————————————
    case shortDash       //— — — — — — — — — — — — — — — — — —
    case shortDot        //ⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈⵈ
    case shortDashDot    //—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧—‧
    case shortDashDotDot //—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧—‧‧
    case dot             //‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧‧
    case dash            //—— —— —— —— —— —— —— —— —— —— —— ——
    case longDash        //——— ——— ——— ——— ——— ——— ——— ——— ———
    case dashDot         //——‧——‧——‧——‧——‧——‧——‧——‧——‧——‧——‧——‧
    case longDashDot     //———‧———‧———‧———‧———‧———‧———‧———‧———‧
    case longDashDotDot  //———‧‧———‧‧———‧‧———‧‧———‧‧———‧‧———‧‧
}

Supported animation type for now


 public enum AAChartAnimationType: String {
    case easeInQuad     = "easeInQuad"
    case easeOutQuad    = "easeOutQuad"
    case easeInOutQuad  = "easeInOutQuad"
    case easeInCubic    = "easeInCubic"
    case easeOutCubic   = "easeOutCubic"
    case easeInOutCubic = "easeInOutCubic"
    case easeInQuart    = "easeInQuart"
    case easeOutQuart   = "easeOutQuart"
    case easeInOutQuart = "easeInOutQuart"
    case easeInQuint    = "easeInQuint"
    case easeOutQuint   = "easeOutQuint"
    case easeInOutQuint = "easeInOutQuint"
    case easeInSine     = "easeInSine"
    case easeOutSine    = "easeOutSine"
    case easeInOutSine  = "easeInOutSine"
    case easeInExpo     = "easeInExpo"
    case easeOutExpo    = "easeOutExpo"
    case easeInOutExpo  = "easeInOutExpo"
    case easeInCirc     = "easeInCirc"
    case easeOutCirc    = "easeOutCirc"
    case easeInOutCirc  = "easeInOutCirc"
    case easeOutBounce  = "easeOutBounce"
    case easeInBack     = "easeInBack"
    case easeOutBack    = "easeOutBack"
    case easeInOutBack  = "easeInOutBack"
    case elastic        = "elastic"
    case swingFromTo    = "swingFromTo"
    case swingFrom      = "swingFrom"
    case swingTo        = "swingTo"
    case bounce         = "bounce"
    case bouncePast     = "bouncePast"
    case easeFromTo     = "easeFromTo"
    case easeFrom       = "easeFrom"
    case easeTo         = "easeTo"
}

Here are the ten concrete animation types of AAInfographics

BackBounceCircCubicElastic
ExpoQuadQuartQuintSine

About AAChartModel

  • AAChartModel:chart basic properties instruction

Property nameProperty typeDescriptionValue Range
titleStringThe chart titleAny valid string
subtitleStringThe chart subtitleAny valid string
chartTypeAAChartTypeThe default series type for the chart. Can be any of the chart types listed under AAChartType..column, .bar, .area, .areaSpline, .line, .spline, .pie, .bubble, .scatter, .pyramid, .funnel, .areaRange, .columnRange
stackingAAChartStackingTypeWhether to stack the values of each series on top of each other. Possible values are null to disable, "normal" to stack by value or "percent". When stacking is enabled, data must be sorted in ascending X order.none, .normal, .percent
symbolAAChartSymbolTypeA predefined shape or symbol for the marker. When null, the symbol is pulled from options.symbols. Other possible values are "circle", "square", "diamond", "triangle" and "triangle-down".circle, .square, .diamond, .triangle, .triangleDown
  • AAChartModel:chart all properties list

public class AAChartModel: AAObject {
    public var animationType: AAChartAnimationType? //The type of chart animation
    public var animationDuration: Int?      //The chart rendering animation duration
    public var title: String?               //The chart title
    public var titleStyle: AAStyle?         //The chart title style
    public var subtitle: String?            //The chart subtitle
    public var subtitleAlign: AAChartAlignType?//The chart subtitle text align style
    public var subtitleStyle: AAStyle?      //The chart subtitle style
    public var chartType: AAChartType?      //The default series type for the chart. Can be any of the chart types listed under `AAChartType`. Defaults to line
    public var stacking: AAChartStackingType? //Whether to stack the values of each series on top of each other. Possible values are null to disable, "normal" to stack by value or "percent". When stacking is enabled, data must be sorted in ascending X order
    public var markerSymbol: AAChartSymbolType?   //A predefined shape or symbol for the marker. When null, the symbol is pulled from options.symbols. Other possible values are "circle", "square", "diamond", "triangle" and "triangle-down"
    public var markerSymbolStyle: AAChartSymbolStyleType?
    public var zoomType: AAChartZoomType?   //Decides in what dimensions the user can zoom by dragging the mouse. Can be one of x, y or xy
    public var inverted: Bool?              //Whether to invert the axes so that the x axis is vertical and y axis is horizontal. When true, the x axis is reversed by default. If a bar series is present in the chart, it will be inverted automatically.Inverting the chart doesn't have an effect if there are no cartesian series in the chart, or if the chart is polar.Defaults to false
    public var xAxisReversed: Bool?         //Whether to reverse the axis so that the highest number is closest to the origin. If the chart is inverted, the x axis is reversed by default. Defaults to false
    public var yAxisReversed: Bool?         //Whether to reverse the axis so that the highest number is closest to the origin. If the chart is inverted, the x axis is reversed by default. Defaults to false
    public var polar: Bool?                 //When true, cartesian charts like line, spline, area and column are transformed into the polar coordinate system. Requires `AAHighchartsMore.js`. Defaults to false
    public var margin: [Any?]?
    public var dataLabelsEnabled: Bool?     //Enable or disable the data labels. Defaults to false
    public var dataLabelsStyle: AAStyle?    //The data labels style
    public var xAxisLabelsEnabled: Bool?    //Enable or disable the axis labels. Defaults to true
    public var xAxisLabelsStyle: AAStyle?   //The x axis labels style
    public var categories: [String]?        //Set new categories for the axis
    public var xAxisGridLineWidth: Float?   //The width of the grid lines extending the ticks across the plot area.Defaults to 0
    public var xAxisVisible: Bool?          //Show the x axis or not
    public var xAxisTickInterval: Float?    //Custom x axis tick interval,It is useful when the x categories array is too long to show all of them
    public var yAxisVisible: Bool?          //Show the y axis or not
    public var yAxisLabelsEnabled: Bool?    //Enable or disable the axis labels. Defaults to true
    public var yAxisLabelsStyle: AAStyle?   //The y axis labels style
    public var yAxisTitle: String?          //The actual text of the axis title
    public var xAxisTitle: String?          //The actual text of the axis title
    public var yAxisLineWidth: Float?       //The width of y axis line
    public var yAxisGridLineWidth: Float?   //The width of the grid lines extending the ticks across the plot area. Defaults to 1
    public var yAxisMin: Double?            //The y axis mini value
    public var yAxisMax: Double?            //The y axis max value
    public var yAxisTickPositions:[Any]?    //An array defining where the ticks are laid out on the axis. This overrides the default behaviour of tickPixelInterval and tickInterval.
    public var yAxisAllowDecimals: Bool?    //The y axis values label allow decimals or not
    public var tooltipEnabled: Bool?        //Show the tooltip or not
    public var tooltipValueSuffix: String?  //Custom tooltip value unit suffix
    public var colorsTheme: [Any]?          //An array containing the default colors for the chart's series. When all colors are used, new colors are pulled from the start again. Defaults to: ["#bb250c","#f67210","#fde680","#257679","#f1c6c5"]
    public var series: [Any]?               //An array of all the chart's series
    public var legendEnabled: Bool?         //Enable or disable the legend. Defaults to true
    public var backgroundColor: Any?        //The background color or gradient for the outer chart area. Defaults to #FFFFFF
    public var borderRadius: Float?         //The corner radius of the outer chart border. Defaults to 0
    public var markerRadius: Float?         //The radius of the point marker. Defaults to 4
    public var scrollablePlotArea: AAScrollablePlotArea?    //Scroll properties if supported
 
    ...
    ...  
}

Created By

An An

 "CODE IS FAR AWAY FROM BUG WITH THE ANIMAL PROTECTING"
 
 *          ##2      ##2
 *       ┏-##1   ┏-##1
 *    ┏_┛ ┻---━┛_┻━━┓
 *    ┃           ┃     
 *    ┃   ━       ┃    
 *    ┃ @^   @^    ┃   
 *    ┃        ┃
 *    ┃   ┻    ┃
 *    ┃_      _┃
 *     ┗━┓   ┏━┛
 *      ┃   ┃神兽保佑
 *      ┃   ┃永无BUG!
 *      ┃   ┗━━━┓----|
 *      ┃         ┣┓}}}
 *      ┃         ┏┛
 *      ┗┓&&&┓-┏&&&┓┏┛-|
 *       ┃┫┫  ┃┫┫
 *       ┗┻┛  ┗┻┛
 *
 *
 "CODE IS FAR AWAY FROM BUG WITH THE ANIMAL PROTECTING"

Source Code Links⛓

Normal Versions

LanguageProject NameTarget PlatformSource Code Link
SwiftAAInfographicsiOShttps://github.com/AAChartModel/AAChartKit-Swift
Objective CAAChartKitiOShttps://github.com/AAChartModel/AAChartKit
KotlinAAInfographicsAndroidhttps://github.com/AAChartModel/AAChartCore-Kotlin
JavaAAChartCoreAndroidhttps://github.com/AAChartModel/AAChartCore

Pro Versions

Pro Versions are more powerful data visualization frameworks that support more types beautiful chart like bellcurve, bullet, columnpyramid, cylinder, dependencywheel, heatmap, histogram, networkgraph, organization, packedbubble, pareto, sankey, series, solidgauge, streamgraph, sunburst, tilemap, timeline, treemap, variablepie, variwide, vector, venn, windbarb, wordcloud, xrange charts and so on.

LanguageProject NameTarget PlatformSource Code Link
SwiftAAInfographics-ProiOShttps://github.com/AAChartModel/AAChartKit-Swift-Pro
Objective CAAChartKit-ProiOShttps://github.com/AAChartModel/AAChartKit-Pro
KotlinAAInfographics-ProAndroidComing Soon...
JavaAAChartCore-ProAndroidComing Soon...

LICENSE

AAInfographics is available under the MIT license. See the LICENSE file for more information.

Contact




Todo list

  • Support for the user to add delegate events after the graphics content loading was completed
  • Support graphics to refresh global content dynamically
  • Support graphics to refresh pure data (series) content dynamically
  • Support color layer gradient effects
  • Support 3D graphics effects, valid only for partial graphics such as column chart、bar chart、pie charts、scatterplot chart、bubble chart, etc
  • Support horizontal screen (full screen) effect
  • Support setting graphics rendering animation freely
  • Support for users to configure AAOptions model object properties freely
  • Support stacking the graphics
  • Support reversing the graphics axis
  • Support rendering the scatter chart
  • Support rendering the column range map
  • Support rendering the area range graph
  • Support rendering the polar chart
  • Support rendering the step line chart
  • Support rendering the step area chart
  • Support rendering the rectangular tree hierarchy diagrams
  • Support rendering the circular progress bar chart
  • Support adding clicked event callbacks for graphics
  • Support adding finger✋🏻 or mouse🖱 move over event callbacks for graphics
  • Support graphics to refresh pure data in real time and scroll dynamically
  • Support rendered graphics to generate image files
  • Support generating image files saved to the system album