go-charts

中文

go-charts base on go-chart，it is simpler way for generating charts, which supports svg and png format and themes: light, dark, grafana and ant. The default format is png and the default theme is light.

Apache ECharts is popular among Front-end developers, so go-charts supports the option of Apache ECharts. Developers can generate charts almost the same as Apache ECharts.

Screenshot of common charts, the left part is light theme, the right part is grafana theme.

Chart Type

These chart types are supported: line, bar, horizontal bar, pie, radar or funnel and table.

Example

More examples can be found in the ./examples/ directory.

Line Chart

package main

import (
	charts "github.com/vicanso/go-charts/v2"
)

func main() {
	values := [][]float64{
		{
			120,
			132,
			101,
			134,
			90,
			230,
			210,
		},
		{
			// snip...
		},
		{
			// snip...
		},
		{
			// snip...
		},
		{
			// snip...
		},
	}
	p, err := charts.LineRender(
		values,
		charts.TitleTextOptionFunc("Line"),
		charts.XAxisDataOptionFunc([]string{
			"Mon",
			"Tue",
			"Wed",
			"Thu",
			"Fri",
			"Sat",
			"Sun",
		}),
		charts.LegendLabelsOptionFunc([]string{
			"Email",
			"Union Ads",
			"Video Ads",
			"Direct",
			"Search Engine",
		}, charts.PositionCenter),
	)

	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...
}

Bar Chart

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	values := [][]float64{
		{
			2.0,
			4.9,
			7.0,
			23.2,
			25.6,
			76.7,
			135.6,
			162.2,
			32.6,
			20.0,
			6.4,
			3.3,
		},
		{
			// snip...	
		},
	}
	p, err := charts.BarRender(
		values,
		charts.XAxisDataOptionFunc([]string{
			"Jan",
			"Feb",
			"Mar",
			"Apr",
			"May",
			"Jun",
			"Jul",
			"Aug",
			"Sep",
			"Oct",
			"Nov",
			"Dec",
		}),
		charts.LegendLabelsOptionFunc([]string{
			"Rainfall",
			"Evaporation",
		}, charts.PositionRight),
		charts.MarkLineOptionFunc(0, charts.SeriesMarkDataTypeAverage),
		charts.MarkPointOptionFunc(0, charts.SeriesMarkDataTypeMax,
			charts.SeriesMarkDataTypeMin),
		// custom option func
		func(opt *charts.ChartOption) {
			opt.SeriesList[1].MarkPoint = charts.NewMarkPoint(
				charts.SeriesMarkDataTypeMax,
				charts.SeriesMarkDataTypeMin,
			)
			opt.SeriesList[1].MarkLine = charts.NewMarkLine(
				charts.SeriesMarkDataTypeAverage,
			)
		},
	)
	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...
}

Horizontal Bar Chart

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	values := [][]float64{
		{
			18203,
			23489,
			29034,
			104970,
			131744,
			630230,
		},
		{
			// snip...	
		},
	}
	p, err := charts.HorizontalBarRender(
		values,
		charts.TitleTextOptionFunc("World Population"),
		charts.PaddingOptionFunc(charts.Box{
			Top:    20,
			Right:  40,
			Bottom: 20,
			Left:   20,
		}),
		charts.LegendLabelsOptionFunc([]string{
			"2011",
			"2012",
		}),
		charts.YAxisDataOptionFunc([]string{
			"Brazil",
			"Indonesia",
			"USA",
			"India",
			"China",
			"World",
		}),
	)
	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...
}

Pie Chart

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	values := []float64{
		1048,
		735,
		580,
		484,
		300,
	}
	p, err := charts.PieRender(
		values,
		charts.TitleOptionFunc(charts.TitleOption{
			Text:    "Rainfall vs Evaporation",
			Subtext: "Fake Data",
			Left:    charts.PositionCenter,
		}),
		charts.PaddingOptionFunc(charts.Box{
			Top:    20,
			Right:  20,
			Bottom: 20,
			Left:   20,
		}),
		charts.LegendOptionFunc(charts.LegendOption{
			Orient: charts.OrientVertical,
			Data: []string{
				"Search Engine",
				"Direct",
				"Email",
				"Union Ads",
				"Video Ads",
			},
			Left: charts.PositionLeft,
		}),
		charts.PieSeriesShowLabel(),
	)
	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...	
}

Radar Chart

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	values := [][]float64{
		{
			4200,
			3000,
			20000,
			35000,
			50000,
			18000,
		},
		{
			// snip...
		},
	}
	p, err := charts.RadarRender(
		values,
		charts.TitleTextOptionFunc("Basic Radar Chart"),
		charts.LegendLabelsOptionFunc([]string{
			"Allocated Budget",
			"Actual Spending",
		}),
		charts.RadarIndicatorOptionFunc([]string{
			"Sales",
			"Administration",
			"Information Technology",
			"Customer Support",
			"Development",
			"Marketing",
		}, []float64{
			6500,
			16000,
			30000,
			38000,
			52000,
			25000,
		}),
	)
	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...
}

Funnel Chart

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	values := []float64{
		100,
		80,
		60,
		40,
		20,
	}
	p, err := charts.FunnelRender(
		values,
		charts.TitleTextOptionFunc("Funnel"),
		charts.LegendLabelsOptionFunc([]string{
			"Show",
			"Click",
			"Visit",
			"Inquiry",
			"Order",
		}),
	)
	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...
}

Table

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	header := []string{
		"Name",
		"Age",
		"Address",
		"Tag",
		"Action",
	}
	data := [][]string{
		{
			"John Brown",
			"32",
			"New York No. 1 Lake Park",
			"nice, developer",
			"Send Mail",
		},
		{
			"Jim Green	",
			"42",
			"London No. 1 Lake Park",
			"wow",
			"Send Mail",
		},
		{
			"Joe Black	",
			"32",
			"Sidney No. 1 Lake Park",
			"cool, teacher",
			"Send Mail",
		},
	}
	spans := map[int]int{
		0: 2,
		1: 1,
		// 设置第三列的span
		2: 3,
		3: 2,
		4: 2,
	}
	p, err := charts.TableRender(
		header,
		data,
		spans,
	)
	if err != nil {
		panic(err)
	}

	buf, err := p.Bytes()
	if err != nil {
		panic(err)
	}
	// snip...
}

ECharts Render

package main

import (
	"github.com/vicanso/go-charts/v2"
)

func main() {
	buf, err := charts.RenderEChartsToPNG(`{
		"title": {
			"text": "Line"
		},
		"xAxis": {
			"data": ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
		},
		"series": [
			{
				"data": [150, 230, 224, 218, 135, 147, 260]
			}
		]
	}`)
	// snip...
}

ECharts Option

The name with [] is new parameter, others are the same as echarts.

[type] The canvas type, support svg and png, default is svg
[theme] The theme, support dark, light and grafana, default is light
[fontFamily] The font family for chart
[padding] The padding of chart
[box] The canvas box of chart
[width] The width of chart
[height] The height of chart
title Title component, including main title and subtitle
- title.text The main title text, supporting for \n for newlines
- title.subtextSubtitle text, supporting for \n for newlines
- title.left Distance between title component and the left side of the container. Left value can be instant pixel value like 20; it can also be a percentage value relative to container width like '20%'; and it can also be 'left', 'center', or 'right'.
- title.top Distance between title component and the top side of the container. Top value can be instant pixel value like 20
- title.textStyle.color Text color for title
- title.textStyle.fontSize Text font size for title
- title.textStyle.fontFamily Text font family for title, it will change the font family for chart
xAxis The x axis in cartesian(rectangular) coordinate. go-charts only support one x axis.
- xAxis.boundaryGap The boundary gap on both sides of a coordinate axis. The setting and behavior of category axes and non-category axes are different. If set null or true, the label appear in the center part of two axis ticks.
- xAxis.splitNumber Number of segments that the axis is split into. Note that this number serves only as a recommendation, and the true segments may be adjusted based on readability
- xAxis.data Category data, only support string array.
yAxis The y axis in cartesian(rectangular) coordinate, it support 2 y axis
- yAxis.min The minimum value of axis. It will be automatically computed to make sure axis tick is equally distributed when not set
- yAxis.max The maximum value of axis. It will be automatically computed to make sure axis tick is equally distributed when not se.
- yAxis.axisLabel.formatter Formatter of axis label, which supports string template: "formatter": "{value} kg"
- yAxis.axisLine.lineStyle.color The color for line
legend Legend component
- legend.show Whether to show legend
- legend.data Data array of legend, only support string array: ["Email", "Video Ads"]
- legend.align Legend marker and text aligning. Support left and right, default is left
- legend.padding legend space around content
- legend.left Distance between legend component and the left side of the container. Left value can be instant pixel value like 20; it can also be a percentage value relative to container width like '20%'; and it can also be 'left', 'center', or 'right'.
- legend.top Distance between legend component and the top side of the container. Top value can be instant pixel value like 20
radar Coordinate for radar charts
- radar.indicator Indicator of radar chart, which is used to assign multiple variables(dimensions) in radar chart
  - radar.indicator.name Indicator's name
  - radar.indicator.max The maximum value of indicator
  - radar.indicator.min The minimum value of indicator, default value is 0.
series The series for chart
- series.name Series name used for displaying in legend.
- series.type Series type: line, bar, pie, radar or funnel
- series.radius Radius of Pie chart:50%, default is 40%
- series.yAxisIndex Index of y axis to combine with, which is useful for multiple y axes in one chart
- series.label.show Whether to show label
- series.label.distance Distance to the host graphic element
- series.label.color Label color
- series.itemStyle.color Color for the series's item
- series.markPoint Mark point in a chart.
- series.markPoint.symbolSize Symbol size, default is 30
- series.markPoint.data Data array for mark points, each of which is an object and the type only support max and min: [{"type": "max"}, {"type": "min"}]
- series.markLine Mark line in a chart
- series.markPoint.data Data array for mark points, each of which is an object and the type only support max, min and average: `[{"type": "max"}, {"type": "min"}, {"type": "average"}]``
- series.data Data array of series, which can be in the following forms:
  - value It's a float array: [1.1, 2,3, 5.2]
  - object It's a object value array: [{"value": 1048, "name": "Search Engine"},{"value": 735,"name": "Direct"}]
[children] The options of children chart

Performance

Generate a png chart will be less than 20ms. It's better than using chrome headless with echarts.

BenchmarkMultiChartPNGRender-8                78          15216336 ns/op         2298308 B/op       1148 allocs/op
BenchmarkMultiChartSVGRender-8               367           3356325 ns/op        20597282 B/op       3088 allocs/op

sakishum/go-charts