mirror of https://github.com/zieckey/gochart.git
111 lines
3.3 KiB
Markdown
111 lines
3.3 KiB
Markdown
gochart
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=======
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[中文说明](http://blog.codeg.cn/2014/12/27/gochart-info/)
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[gochart](https://github.com/zieckey/gochart) is a chart ploting tool which is simple to use. It used the open sources [golang](https://golang.org) and [highcharts](http://www.highcharts.com) which is modeled after [goplot](https://github.com/skoo87/goplot). It can plot spline/line/area/bar/column/pie. This tool is just a binary independent with any other lib or environment.
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### Dependent
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- [https://github.com/zieckey/goini](https://github.com/zieckey/goini)
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- [https://github.com/bitly/go-simplejson](https://github.com/bitly/go-simplejson)
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### Install from resource
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- Install go
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- Execute the command : `go get -u github.com/zieckey/gochart`
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### Usage
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* Download the binary tar.gz file and untar it. Enter the gochart directory, you can see an executable file `gochart` and some *.chart files. This chart files are the example data files. Execute the exe `gochart`, then you can open your browser and navigate to [http://localhost:8000](http://localhost:8000), and now you can see the charts.
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* You can put `gochart` to your `PATH` environment and execute `gochart` in the directory which holds *.chart files. If you have several *.chart files, you can refresh the web page to plot diffrent chart.
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### Example 1 : Spline data format
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This data format can be also used to plot line/bar/column/area when you can change the value of `ChartType`. The option value of `ChartType` is below :
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- spline
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- line
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- bar
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- column
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- area
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```go
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# The chart type , option : spline/line/bar/column/area
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ChartType = spline
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Title = Source: WorldClimate.com
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SubTitle = Monthly Average Temperature
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ValueSuffix = °C
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# The height (px) of the chart
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Height = 400
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# The x Axis numbers. The count this numbers MUST be the same with the data series
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XAxisNumbers = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
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# The y Axis text
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YAxisText = Temperature (°C)
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# The data and the name of the lines
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Data|Tokyo = 7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6
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Data|New York = -0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5
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Data|Berlin = -0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0
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Data|London = 3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8
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```
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### Example 1 : Pie chart
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```go
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ChartType = pie
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Title = Browser market shares at a specific website, 2014
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SubTitle = from website.com
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SeriesName = Browser shares
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# The data and the name of the pieces of the pie
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Data|Firefox = 45.0
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Data|IE = 26.8
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Data|Chrome = 12.8
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Data|Safari = 8.5
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Data|Opera = 6.2
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Data|Others = 0.7
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```
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### Spline
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<<<<<<< HEAD
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### Pie
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### Column
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### Area
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### Line
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### Bar
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=======
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### Pie
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### Column
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### Area
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### Line
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### Bar
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>>>>>>> d1ed0a437c116029e13d845f8edb8b25d2c78d33
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