mtangoo / ChartView

ChartView made in SwiftUI

SwiftUICharts

Swift package for displaying charts effortlessly.

V2 Beta is here 🎉🎉🎉

V2 focuses on providing a strong and easy to use base, on which you can build your beautiful custom charts. It provides basic building blocks, like a chart view (bar, pie, line and ring chart), grid view, card view, interactive label for displaying the curent chart value. So you decide, whether you build a fully fledged interactive view, or just display a bare bone chart

• How to install SwiftUI ChartView

• How to create your first chart

It supports interactions and animations

It is fully customizable, and works together with native SwiftUI elements well

Original (stable) version:

Usage

It supports:

• Line charts
• Bar charts
• Pie charts

Slack

Join our Slack channel for day to day conversation and more insights:

Slack invite link

Installation:

It requires iOS 13 and Xcode 11!

In Xcode go to File -> Swift Packages -> Add Package Dependency and paste in the repo's url: https://github.com/AppPear/ChartView

Usage:

import the package in the file you would like to use it: import SwiftUICharts

You can display a Chart by adding a chart view to your parent view:

Demo

Added an example project, with iOS, watchOS target: https://github.com/AppPear/ChartViewDemo

Line charts

LineChartView with multiple lines! First release of this feature, interaction is disabled for now, I'll figure it out how could be the best to interact with multiple lines with a single touch.

Usage:

MultiLineChartView(data: [([8,32,11,23,40,28], GradientColors.green), ([90,99,78,111,70,60,77], GradientColors.purple), ([34,56,72,38,43,100,50], GradientColors.orngPink)], title: "Title")

Gradient colors are now under the GradientColor struct you can create your own gradient by GradientColor(start: Color, end: Color)

Available preset gradients:

• orange
• blue
• green
• blu
• bluPurpl
• purple
• prplPink
• prplNeon
• orngPink

Full screen view called LineView!!!

 LineView(data: [8,23,54,32,12,37,7,23,43], title: "Line chart", legend: "Full screen") // legend is optional, use optional .padding()

Adopts to dark mode automatically

You can add your custom darkmode style by specifying:

let myCustomStyle = ChartStyle(...)
let myCutsomDarkModeStyle = ChartStyle(...)
myCustomStyle.darkModeStyle = myCutsomDarkModeStyle

Line chart is interactive, so you can drag across to reveal the data points

You can add a line chart with the following code:

 LineChartView(data: [8,23,54,32,12,37,7,23,43], title: "Title", legend: "Legendary") // legend is optional

Turn drop shadow off by adding to the Initialiser: dropShadow: false

Bar charts

[New feature] you can display labels also along values and points for each bar to descirbe your data better! Bar chart is interactive, so you can drag across to reveal the data points

You can add a bar chart with the following code:

Labels and points:

 BarChartView(data: ChartData(values: [("2018 Q4",63150), ("2019 Q1",50900), ("2019 Q2",77550), ("2019 Q3",79600), ("2019 Q4",92550)]), title: "Sales", legend: "Quarterly") // legend is optional

Only points:

 BarChartView(data: ChartData(points: [8,23,54,32,12,37,7,23,43]), title: "Title", legend: "Legendary") // legend is optional

ChartData structure Stores values in data pairs (actually tuple): (String,Double)

• you can have duplicate values
• keeps the data order

You can initialise ChartData multiple ways:

• For integer values: ChartData(points: [8,23,54,32,12,37,7,23,43])
• For floating point values: ChartData(points: [2.34,3.14,4.56])
• For label,value pairs: ChartData(values: [("2018 Q4",63150), ("2019 Q1",50900)])

You can add different formats:

• Small ChartForm.small
• Medium ChartForm.medium
• Large ChartForm.large

BarChartView(data: ChartData(points: [8,23,54,32,12,37,7,23,43]), title: "Title", form: ChartForm.small)

For floating point numbers, you can set a custom specifier:

BarChartView(data: ChartData(points:[1.23,2.43,3.37]) ,title: "A", valueSpecifier: "%.2f")

For integers you can disable by passing: valueSpecifier: "%.0f"

You can set your custom image in the upper right corner by passing in the initialiser: cornerImage:Image(systemName: "waveform.path.ecg")

Turn drop shadow off by adding to the Initialiser: dropShadow: false

You can customize styling of the chart with a ChartStyle object:

Customizable:

• background color
• accent color
• second gradient color
• text color
• legend text color

 let chartStyle = ChartStyle(backgroundColor: Color.black, accentColor: Colors.OrangeStart, secondGradientColor: Colors.OrangeEnd, chartFormSize: ChartForm.medium, textColor: Color.white, legendTextColor: Color.white )
 ...
 BarChartView(data: [8,23,54,32,12,37,7,23,43], title: "Title", style: chartStyle)

You can access built-in styles:

 BarChartView(data: [8,23,54,32,12,37,7,23,43], title: "Title", style: Styles.barChartMidnightGreen)

All styles available as a preset:

• barChartStyleOrangeLight
• barChartStyleOrangeDark
• barChartStyleNeonBlueLight
• barChartStyleNeonBlueDark
• barChartMidnightGreenLight
• barChartMidnightGreenDark

You can customize the size of the chart with a ChartForm object:

ChartForm

• .small
• .medium
• .large
• .detail

BarChartView(data: [8,23,54,32,12,37,7,23,43], title: "Title", form: ChartForm.small)

You can choose whether bar is animated or not after completing your gesture.

If you want to animate back movement after completing your gesture, you set animatedToBack as true.

WatchOS support for Bar charts:

Pie charts

You can add a pie chart with the following code:

 PieChartView(data: [8,23,54,32], title: "Title", legend: "Legendary") // legend is optional

Turn drop shadow off by adding to the Initialiser: dropShadow: false

Advanced charts

You can add advanced variats of the above 4 versions of the chats. These varients take a ChartStyle just like their simple data counter parts.

However, these varients use a new data viewmodifier. They take in a ChartData object that has a property called Data which is an array of objects that conform to ChartDataPoint. And a keypath property keyPathForGraphValue which is used to get the keypath for the data of type double.

ChartDataPoint has a chart value property that is used to label the graph when the built in label is used.

The new data viewModifier also takes a ChartValue object that holds two properties (which should be Published values) that allow the user to detect which of their ChartDataPoints was last selected and if the user is currently interacting with the chart. This allows the user to create complex headers.