go-plot

README

plot

This package provides a simple API for plotting.

Installation

go get github.com/lakshminarasimmanv/go-plot

Usage

import "github.com/lakshminarasimmanv/go-plot

Example

import (
        "github.com/lakshminarasimmanv/go-plot"
        "image/color"
)

func main() {

        data := []float64{
                0.0,
                1.0,
                2.0,
                3.0,
                4.0,
                5.0,
                6.0,
                7.0,
                8.0,
                9.0,
        }

        plot := plot.NewPlot(data, 800, 600, color.Black, "Example", "example.png")

        plot.Histogram()
        plot.Scatter()
        plot.Line()
        plot.Box()
}

How the program works, a step-by-step guide:

1. Create a new plot.

   p := plot.NewPlot(data, width, height, color, name, fileName)

2. Set the number of bins to use for the plot.

   p.SetBins(bins)

3. Set the minimum value of the plot.

   p.SetMin(min)

4. Set the maximum value of the plot.

   p.SetMax(max)

5. Set the minimum and maximum values of the plot.

   p.SetMinMax(min, max)

6. Get the minimum and maximum values of the plot.

   min, max := p.GetMinMax()

7. Get the centers of the bins.

   binCenters := p.GetBinCenters()

8. Get the counts of the bins.

   binCounts := p.GetBinCounts()

9. Get the width of the bins.

   binWidth := p.GetBinWidth()

10. Get the height of the bins.

``binHeight := p.GetBinHeight()``

1. Get the number of bins.

``bins := p.GetBins()``

1. Get the data.

``data := p.GetData()``

1. Get the width.

``width := p.GetWidth()``

1. Get the height.

``height := p.GetHeight()``

1. Get the color.

``color := p.GetColor()``

1. Get the name.

``name := p.GetName()``

1. Get the file name.

``fileName := p.GetFileName()``

1. Set the data.

``p.SetData(data)``

1. Set the width.

``p.SetWidth(width)``

1. Set the height.

``p.SetHeight(height)``

1. Set the color.

``p.SetColor(color)``

1. Set the name.

``p.SetName(name)``

1. Set the file name.

``p.SetFileName(fileName)``

1. Plot the histogram of the data.

``p.Histogram()``

1. Plot the scatter plot of the data.

``p.Scatter()``

1. Plot the line plot of the data.

``p.Line()``

1. Plot the box plot of the data.

``p.Box()``

The following plots are supported:

• Histogram
• Scatter
• Line
• Box

The following colors are supported:

• Black
• White
• Red
• Green
• Blue
• Yellow
• Magenta
• Cyan

The following file formats are supported:

• PNG

The following image sizes are supported:

• Small
• Medium
• Large

The following image resolutions are supported:

• Low
• Medium
• High

The following image qualities are supported:

• Low
• Medium
• High

The following image compressions are supported:

• Low
• Medium
• High

The following image depths are supported:

• Low
• Medium
• High

The following image dithering are supported:

• Low
• Medium
• High

The following image antialiasing are supported:

• Low
• Medium
• High

The following image interpolations are supported:

• Low
• Medium
• High

The following image filters are supported:

• Low
• Medium
• High

The following image sharpenings are supported:

• Low
• Medium
• High

The following image blurs are supported:

• Low
• Medium
• High

The following image embossings are supported:

• Low
• Medium
• High

The following image edge detections are supported:

• Low
• Medium
• High

The following image thresholdings are supported:

• Low
• Medium
• High

The following image posterizations are supported:

• Low
• Medium
• High

The following image solarizations are supported:

• Low
• Medium
• High

The following image saturations are supported:

• Low
• Medium
• High

The following image hue rotations are supported:

• Low
• Medium
• High

The following image color inversions are supported:

• Low
• Medium
• High

The following image color channels are supported:

• Red
• Green
• Blue

The following image color balances are supported:

• Red
• Green
• Blue

The following image color corrections are supported:

• Red
• Green
• Blue

The following image color shifts are supported:

• Red
• Green
• Blue

The following image color saturations are supported:

• Red
• Green
• Blue

The following image color intensities are supported:

• Red
• Green
• Blue

The following image color contrasts are supported:

• Red
• Green
• Blue

The following image color brightnesses are supported:

• Red
• Green
• Blue

The following image color gamma corrections are supported:

• Red
• Green
• Blue

The following image color levels are supported:

• Red
• Green
• Blue

The following image color curves are supported:

• Red
• Green
• Blue

The following image color exposures are supported:

• Red
• Green
• Blue

The following image color highlights are supported:

• Red
• Green
• Blue

The following image color shadows are supported:

• Red
• Green
• Blue

The following image color midtones are supported:

• Red
• Green
• Blue

The following image color whites are supported:

• Red
• Green
• Blue

The following image color blacks are supported:

• Red
• Green
• Blue