Introduction
Welcome to the documentation page for the mpplot framework! Here, you will find detailed information on how to use mpplot to create stunning visualizations and plots for your iOS applications.
Installation
To install mpplot, you can use CocoaPods. Simply add the following line to your Podfile:
pod 'mpplot', '~> 1.0.0'
Then, run the command pod install
in your terminal to install the mpplot framework.
Getting Started
After installing mpplot, you’re ready to start using it in your project. Follow the steps below to get started:
- Import the mpplot module in your Swift file:
- Create an instance of a plot type:
- Customize the plot appearance and data:
- Add the plot to your view:
- Run your project to see the plot in action!
import mpplot
let plot = MPLineChartView()
plot.data = [1, 2, 3, 4, 5] plot.lineColor = .blue plot.lineWidth = 2.0
view.addSubview(plot)
Plot Types
mpplot offers various plot types that you can use to visualize your data. Each plot type has its own set of properties that you can customize to fit your needs. The currently supported plot types are:
- Line Chart
- Bar Chart
- Pie Chart
- Scatter Plot
Refer to the usage and customization sections of each plot type to learn more about their specific features.
Usage
Each plot type in mpplot has its own usage and customization options. Refer to the sections below to learn how to use and customize each plot type.
Line Chart
The line chart provides a visual representation of data points connected by lines. To create a line chart, follow these steps:
- Create an instance of MPLineChartView:
- Set the line chart’s data:
- Customize the line chart’s appearance:
- Add the line chart to your view:
let lineChart = MPLineChartView()
lineChart.data = [1, 2, 3, 4, 5]
lineChart.lineColor = .blue lineChart.lineWidth = 2.0
view.addSubview(lineChart)
Bar Chart
The bar chart displays data as rectangular bars with heights proportional to the values they represent. To create a bar chart, follow these steps:
- Create an instance of MPBarChartView:
- Set the bar chart’s data:
- Customize the bar chart’s appearance:
- Add the bar chart to your view:
let barChart = MPBarChartView()
barChart.data = [3, 10, 5, 8, 6]
barChart.barColor = .green barChart.barWidth = 20.0
view.addSubview(barChart)
Pie Chart
The pie chart represents data in a circular graph and is a great option for displaying relative proportions. To create a pie chart, follow these steps:
- Create an instance of MPPieChartView:
- Set the pie chart’s data:
- Customize the pie chart’s appearance:
- Add the pie chart to your view:
let pieChart = MPPieChartView()
pieChart.data = [0.3, 0.4, 0.2, 0.1]
pieChart.sliceColors = [.red, .blue, .green, .yellow]
view.addSubview(pieChart)
Scatter Plot
The scatter plot displays individual data points as dots on a Cartesian coordinate system. To create a scatter plot, follow these steps:
- Create an instance of MPScatterPlotView:
- Set the scatter plot’s data:
- Customize the scatter plot’s appearance:
- Add the scatter plot to your view:
let scatterPlot = MPScatterPlotView()
scatterPlot.data = [(1, 2), (2, 4), (3, 6), (4, 8), (5, 10)]
scatterPlot.pointColor = .orange scatterPlot.pointSize = 5.0
view.addSubview(scatterPlot)
Customization
mpplot allows you to customize various aspects of the plots, including colors, sizes, and labels. The customization options differ for each plot type.
Line Chart Customization
To customize the line chart, you can use the following properties:
lineColor
: The color of the line.lineWidth
: The width of the line.
Bar Chart Customization
To customize the bar chart, you can use the following properties:
barColor
: The color of the bars.barWidth
: The width of the bars.
Pie Chart Customization
To customize the pie chart, you can use the following properties:
sliceColors
: An array of colors for each slice of the pie chart.
Scatter Plot Customization
To customize the scatter plot, you can use the following properties:
pointColor
: The color of the data points.pointSize
: The size of the data points.
Conclusion
Congratulations! You now have a solid understanding of the mpplot framework and how to use it to create beautiful plots in your iOS applications. Remember to refer to the specific documentation for each plot type for more detailed usage instructions and customization options. Happy plotting!