%classpath config resolver scijava.public https://maven.scijava.org/content/groups/public
%classpath add mvn net.imagej imagej 2.0.0-rc-71
ij = new net.imagej.ImageJ()
"ImageJ v${ij.getVersion()} is ready to go."

foodMap = [
    "apple": "fruit",
    "orange": "fruit",
    "broccoli": "vegetable",
    "milk": "dairy",
]

foodListOfMaps = [
    ["Food": "apple",    "Category": "fruit",     "Calories": 95],
    ["Food": "orange",   "Category": "fruit",     "Calories": 45],
    ["Food": "broccoli", "Category": "vegetable", "Calories": 50],
    ["Food": "milk",     "Category": "dairy",     "Calories": 103],
]

import javax.imageio.ImageIO

// Image sources:
// - https://commons.wikimedia.org/wiki/File:Dark_apple.png
// - https://commons.wikimedia.org/wiki/File:Hassaku_fruit_and_cross_section.jpg
// - https://commons.wikimedia.org/wiki/File:Broccoli_DSC00862.png
// - https://commons.wikimedia.org/wiki/File:Milk_glass.jpg
// - https://commons.wikimedia.org/wiki/File:KS_California_strawberry_yogurt.JPG
foodListOfMaps.get(0).put("Image", ImageIO.read(new URL("https://upload.wikimedia.org/wikipedia/commons/thumb/3/32/Dark_apple.png/120px-Dark_apple.png")))
foodListOfMaps.get(1).put("Image", ImageIO.read(new URL("https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/Hassaku_fruit_and_cross_section.jpg/120px-Hassaku_fruit_and_cross_section.jpg")))
foodListOfMaps.get(2).put("Image", ImageIO.read(new URL("https://upload.wikimedia.org/wikipedia/commons/thumb/5/53/Broccoli_DSC00862.png/120px-Broccoli_DSC00862.png")))
foodListOfMaps.get(3).put("Image", ImageIO.read(new URL("https://upload.wikimedia.org/wikipedia/commons/thumb/0/0e/Milk_glass.jpg/106px-Milk_glass.jpg")))

// NB: To see BeakerX explode, run the cell with this line uncommented:
//listOfMaps

import org.scijava.table.Tables
foodTable = Tables.wrap(foodListOfMaps, null)

ij.notebook().display((Object) foodTable)

ij.notebook().display(foodListOfMaps)

ij.notebook().display(foodMap)

ij.notebook().display(foodMap, 'Category')

ij.notebook().display(foodListOfMaps, ['A', 'B', 'C', 'D'])

import org.scijava.table.DoubleColumn
import org.scijava.table.GenericColumn
import org.scijava.table.DefaultGenericTable

// Create two columns.
nameColumn = new GenericColumn("City")
populationColumn = new DoubleColumn("Population")

// Fill the columns with information about the largest cities in the world.
nameColumn.add("Karachi")
populationColumn.add(23500000d)
nameColumn.add("Bejing")
populationColumn.add(21516000d)
nameColumn.add("Sao Paolo")
populationColumn.add(21292893d)

// But actually, the largest city is Shanghai,
// so let's add it at the beginning of the table.
nameColumn.add(0, "Shanghai")
populationColumn.add(0, 24256800d)

// Create the table.
cities = new DefaultGenericTable()
cities.add(nameColumn)
cities.add(populationColumn)

ij.notebook().display((Object) cities)

import org.scijava.table.DefaultGenericTable
colCount = 7
rowCount = 5
spreadsheet = new DefaultGenericTable(colCount, rowCount)
for (col = 0; col < colCount; col++) {
    letter = (char) (col + 65) // 0->A, 1->B, etc.
    spreadsheet.setColumnHeader(col, "" + letter)
    for (row = 0; row < rowCount; row++) {
        data = "" + letter + (row + 1)
        spreadsheet.set(col, row, data)
    }
}
ij.notebook().display((Object) spreadsheet)

spreadsheet.stream().map{column -> [
    "Header": column.getHeader(),
    "Column type": column.getClass().getName(),
    "Data type": column.getType()
]}.collect()

header = cities.get(1).getHeader()

populationColumn = cities.get("Population")

populationOfLargestTown = populationColumn.get(0)

ij.notebook().methods(cities)