Cloning holman/spark for Go
A quick example:
import (
"fmt"
"github.com/joliv/spark"
)
boring_data := []float64{1, 2, 3, 4, 5, 6, 7, 8}
sparkline := spark.Line(boring_data)
fmt.Println(sparkline)
> "▁▂▃▄▅▆▇█"
Grab it with go get github.com/joliv/spark
.
Now some more interesting examples.
Nats season batting averages at a certain point in their 2014 season:
avgs := []float64{.270, .272, .293, .310, .274, .239, .237, .238, .111}
spark.Line(avgs)
> "▇▇██▇▆▆▆▁"
Not too cool, but it is easy to see where the problem is in this lineup. You'll have to blame the National League's rules though, not Treinen. Anyway, have a look at average monthly highs in Phoenix:
temps := []float64{67, 71, 77, 85, 95, 104, 106, 105, 100, 89, 76, 66}
spark.Line(temps)
> "▁▂▃▄▆███▇▅▃▁"
Doesn't say much without knowing the min and max there (about 65° and 105°—why do people live there, again?) but you can clearly see the seasonal trend.
- Zach Holman does a great sell too, and this is really just a port of his neat tool. There are some cool examples there.
- @tv added a
main()
with arg parsing so you can use it in your terminal. You can find that here. - Oh, and if you really want, you can pore over the full docs at godoc.org.
Licensed under GPLv3.