go chart is a basic charting library in go.
Find a file
2016-07-13 15:46:51 -07:00
drawing worked without scaling!! 2016-07-10 23:55:57 -07:00
images update images 2016-07-12 20:38:08 -07:00
testserver pulling generate grid lines into its own function 2016-07-12 19:22:02 -07:00
.travis.yml fixing bug with annotations with axis turned off. 2016-07-10 16:26:18 -07:00
annotation_series.go inching up coverage. 2016-07-12 20:34:59 -07:00
annotation_series_test.go slightly more rigorous bounds checking and auto-fit 2016-07-12 16:47:52 -07:00
axis.go gridlines. 2016-07-12 19:14:14 -07:00
box.go slightly more rigorous bounds checking and auto-fit 2016-07-12 16:47:52 -07:00
box_test.go removing point, adding tests. 2016-07-12 19:38:24 -07:00
chart.go updates 2016-07-12 22:55:46 -07:00
chart_test.go some regression tests 2016-07-13 11:50:22 -07:00
continuous_series.go mostly works. 2016-07-10 10:43:04 -07:00
defaults.go some regression tests 2016-07-13 11:50:22 -07:00
drawing_helpers.go inching up coverage. 2016-07-12 20:34:59 -07:00
grid_line.go pulling generate grid lines into its own function 2016-07-12 19:22:02 -07:00
grid_line_test.go removing point, adding tests. 2016-07-12 19:38:24 -07:00
LICENSE license and readme. 2016-07-07 20:37:57 -07:00
range.go ??? 2016-07-11 18:48:51 -07:00
range_test.go bug fixes and refinements. 2016-07-11 23:32:31 -07:00
raster_renderer.go slightly more rigorous bounds checking and auto-fit 2016-07-12 16:47:52 -07:00
README.md tweaks 2016-07-12 22:19:49 -07:00
renderable.go gridlines. 2016-07-12 19:14:14 -07:00
renderer.go ??? 2016-07-11 18:48:51 -07:00
renderer_provider.go snapshot. 2016-07-10 01:11:47 -07:00
roboto.go initial commit. 2016-07-06 18:54:00 -07:00
series.go inching up coverage. 2016-07-12 20:34:59 -07:00
style.go ??? 2016-07-11 18:48:51 -07:00
style_test.go inching up coverage. 2016-07-10 23:06:14 -07:00
tick.go some regression tests 2016-07-13 11:50:22 -07:00
tick_test.go bug fixes and refinements. 2016-07-11 23:32:31 -07:00
time_series.go some regression tests 2016-07-13 11:50:22 -07:00
time_series_test.go updates 2016-07-09 20:14:11 -07:00
util.go pct diff function 2016-07-13 15:46:51 -07:00
util_test.go ??? 2016-07-11 18:48:51 -07:00
value_formatter.go mostly works. 2016-07-10 10:43:04 -07:00
value_formatter_provider.go mostly works. 2016-07-10 10:43:04 -07:00
value_formatter_test.go inching up coverage. 2016-07-10 23:06:14 -07:00
value_provider.go snapshot. 2016-07-10 01:11:47 -07:00
vector_renderer.go slightly more rigorous bounds checking and auto-fit 2016-07-12 16:47:52 -07:00
vector_renderer_test.go slightly more rigorous bounds checking and auto-fit 2016-07-12 16:47:52 -07:00
xaxis.go coverage at 63.8% 2016-07-12 22:04:30 -07:00
xaxis_test.go coverage at 63.8% 2016-07-12 22:04:30 -07:00
yaxis.go updates 2016-07-12 22:55:46 -07:00
yaxis_test.go coverage at 63.8% 2016-07-12 22:04:30 -07:00

go-chart

Build Status

Package chart is a very simple golang native charting library that supports timeseries and continuous line charts.

The API is still in a bit of flux, so it is adviseable to wait until I tag a v1.0 release before using in a production capacity.

Installation

To install chart run the following:

> go get -u github.com/wcharczuk/go-chart

Most of the components are interchangeable so feel free to crib whatever you want.

Usage

The chart code to produce the above is as follows:

// note this assumes that xvalues and yvalues
// have been pulled from a pricing service.
graph := chart.Chart{
    Width:  1024,
    Height: 400,
    YAxis: chart.YAxis {
        Style: chart.Style{
            Show: true,
        },
    },
    XAxis: chart.XAxis {
        Style: chart.Style{
            Show: true,
        },
    },
    Series: []chart.Series{
        chart.TimeSeries{
            XValues: xvalues,
            YValues: yvalues,
            Style: chart.Style {
                FillColor: chart.DefaultSeriesStrokeColors[0].WithAlpha(64),
            },
        },
        chart.AnnotationSeries{
            Name: "Last Value",
            Style: chart.Style{
                Show:        true,
                StrokeColor: chart.DefaultSeriesStrokeColors[0],
            },
            Annotations: []chart.Annotation{
                chart.Annotation{
                    X:     chart.TimeToFloat64(xvalues[len(xvalues)-1]),
                    Y:     yvalues[len(yvalues)-1],
                    Label: chart.FloatValueFormatter(yvalues[len(yvalues)-1]),
                },
            },
        },
    },
}
graph.Render(chart.PNG, buffer) //thats it!

The key areas to note are that we have to explicitly turn on two features, the axes and add the last value label annotation series. When calling .Render(..) we add a parameter, chart.PNG that tells the renderer to use a raster renderer. Another option is to use chart.SVG which will use the vector renderer and create an svg representation of the chart.

Alternate Usage

You can alternately leave a bunch of features turned off and constrain the proportions to something like a spark line:

The code to produce the above would be:

// note this assumes that xvalues and yvalues
// have been pulled from a pricing service.
graph := chart.Chart{
    Width:  1024,
    Height: 100,
    Series: []chart.Series{
        chart.TimeSeries{
            XValues: xvalues,
            YValues: yvalues,
        },
    },
}
graph.Render(chart.PNG, buffer)

2 Y-Axis Charts

It is also possible to draw series against 2 separate y-axis with their own ranges (usually good for comparison charts). In order to map the series to an alternate axis make sure to set the YAxis property of the series to YAxisSecondary.

graph := chart.Chart{
    Title: stock.Name,
    TitleStyle: chart.Style{
        Show: false,
    },
    Width:  width,
    Height: height,
    XAxis: chart.XAxis{
        Style: chart.Style{
            Show: true,
        },
    },
    YAxis: chart.YAxis{
        Style: chart.Style{
            Show: true,
        },
    },
    Series: []chart.Series{
        chart.TimeSeries{
            Name:    "vea",
            XValues: vx,
            YValues: vy,
            Style: chart.Style{
                Show: true,
                StrokeColor: chart.GetDefaultSeriesStrokeColor(0),
                FillColor:   chart.GetDefaultSeriesStrokeColor(0).WithAlpha(64),
            },
        },
        chart.TimeSeries{
            Name:    "spy",
            XValues: cx,
            YValues: cy,
            YAxis:   chart.YAxisSecondary,  // key (!)
            Style: chart.Style{
                Show: true,
                StrokeColor: chart.GetDefaultSeriesStrokeColor(1),
                FillColor:   chart.GetDefaultSeriesStrokeColor(1).WithAlpha(64),
            },
        },
        chart.AnnotationSeries{
            Name: fmt.Sprintf("%s - Last Value", "vea"),
            Style: chart.Style{
                Show:        true,
                StrokeColor: chart.GetDefaultSeriesStrokeColor(0),
            },
            Annotations: []chart.Annotation{
                chart.Annotation{
                    X:     float64(vx[len(vx)-1].Unix()),
                    Y:     vy[len(vy)-1],
                    Label: fmt.Sprintf("%s - %s", "vea", chart.FloatValueFormatter(vy[len(vy)-1])),
                },
            },
        },
        chart.AnnotationSeries{
            Name: fmt.Sprintf("%s - Last Value", "goog"),
            Style: chart.Style{
                Show:        true,
                StrokeColor: chart.GetDefaultSeriesStrokeColor(1),
            },
            YAxis: chart.YAxisSecondary, // key (!)
            Annotations: []chart.Annotation{
                chart.Annotation{
                    X:     float64(cx[len(cx)-1].Unix()),
                    Y:     cy[len(cy)-1],
                    Label: fmt.Sprintf("%s - %s", "goog", chart.FloatValueFormatter(cy[len(cy)-1])),
                },
            },
        },
    },
}
graph.Render(chart.PNG, buffer)

Design Philosophy

I wanted to make a charting library that used only native golang, that could be stood up on a server (i.e. it had built in fonts).

The goal with the API itself is to have the "zero value be useful", and to require the user to not code more than they absolutely needed.

Contributions

This library is super early but contributions are welcome.