dataset

Overview ¶

Package dataset makes it easier to produce time-based responses when dealing with data that may not necessarily be sequential.

A dataset holds a table of rows for each timestamp that is added to the dataset. When adding new columns, empty cells are automatically added to the table for existing rows:

d := dataset.New()          // creates an empty dataset
d.Add(time.Now(), "A", 1)   // dataset has one row with a single cell, set to 1
d.Add(time.Now(), "B", 2)   // dataset now has two rows. First row is 1, 0. Second row is 0, 2

Furthermore, dataset allows to add a new column, calculated from the values of the other columns:

d := dataset.New()
// add rows with values for columns "A" and "B"

d.AddColumn("C", func(values map[string]float64) float64 {
  return values["A"] + values["B"]
})
// dataset now has a column "C", with the sum of columns "A" and "B"

package main

import (
	"fmt"
	"github.com/clambin/simplejson/v3/dataset"
	"time"
)

func main() {
	d := dataset.New()

	for day := 1; day < 5; day++ {
		d.Add(time.Date(2022, time.January, 5-day, 0, 0, 0, 0, time.UTC), "A", float64(5-day))
	}

	d.AddColumn("B", func(values map[string]float64) float64 {
		return values["A"] * 2
	})

	response := d.GenerateTableResponse()

	fmt.Printf("%v\n", response)
}