#' Code Examples
#'
#' Learn by example - copy/paste code from examples below.
#' This code collection is to demonstrate various concepts of
#' data preparation, conversion, grouping,
#' parameter setting, visual fine-tuning,
#' custom rendering, plugins attachment,
#' Shiny plots & interactions through Shiny proxy.\cr
#'
#' see also gallery https://helgasoft.github.io/echarty/articles/gallery.html for more examples
#' \donttest { # for CRAN
#' library(dplyr); library(echarty)
#'
#' #------ Basic scatter chart, instant display
#' cars |> ec.init()
#'
#' #------ Same chart, change theme and save for further processing
#' p <- cars |> ec.init() |> ec.theme('dark')
#' p
#'
#' #------ parallel chart
#' ToothGrowth |> ec.init(ctype= 'parallel')
#'
#' #------ JSON back and forth
#' tmp <- cars |> ec.init()
#' tmp
#' json <- tmp |> ec.inspect()
#' ec.fromJson(json) |> ec.theme("dark")
#'
#'
#' #------ Data grouping
#' iris |> mutate(Species= as.character(Species)) |>
#' group_by(Species) |> ec.init() # by non-factor column
#'
#' Orange |> group_by(Tree) |> ec.init(
#' series.param= list(symbolSize= 10, encode= list(x='age', y='circumference'))
#' )
#'
#' #------ Polar bar chart
#' cnt <- 5; set.seed(222)
#' data.frame(
#' x = seq(cnt),
#' y = round(rnorm(cnt, 10, 3)),
#' z = round(rnorm(cnt, 11, 2)),
#' colr = rainbow(cnt)
#' ) |>
#' ec.init(
#' polar= list(radius= '90%'),
#' radiusAxis= list(max= 'dataMax'),
#' angleAxis= list(type= "category"),
#' series= list(
#' list(type= "bar", coordinateSystem= "polar",
#' itemStyle= list(color= ec.clmn('colr')),
#' label= list(show= TRUE, position= "middle", formatter= "y={@[1]}")
#' ),
#' list(type= 'scatter', coordinateSystem= "polar",
#' itemStyle= list(color= 'black'),
#' encode= list(angle='x', radius='z'))
#' )
#' )
#'
#'
#' #------ Area chart
#' mtcars |> dplyr::relocate(wt,mpg) |> arrange(wt) |> group_by(cyl) |>
#' ec.init(ctype= 'line', series.param= list(areaStyle= list(show=TRUE)) )
#'
#' #------ Plugin leaflet
#' quakes |> dplyr::relocate('long') |> # set order to long,lat
#' mutate(size= exp(mag)/20) |> head(100) |> # add accented size
#' ec.init(load= 'leaflet',
#' tooltip= list(formatter= ec.clmn('magnitude %@', 'mag')),
#' legend= list(show=TRUE),
#' series.param= list(name= 'quakes', symbolSize= ec.clmn('size', scale=2))
#' )
#'
#' #------ Plugin 'world' with visualMap, minimal code
#' data.frame(name=c('Brazil','Australia'), value=c(111,222)) |>
#' ec.init(load= 'world', ctype='map', visualMap=list(), color='lightgray')
#'
#' #------ Plugin 'world' with timeline
#' set.seed(333)
#' cns <- data.frame(
#' val = runif(3, 1, 100),
#' dim = runif(3, 1, 100),
#' nam = c('Brazil','China','India')
#' )
#' cns |> group_by(nam) |> ec.init(load= 'world', timeline= list(s=TRUE),
#' series.param= list(type='map',
#' encode=list(value='val', name='nam')),
#' toolbox= list(feature= list(restore= list())),
#' visualMap= list(calculable=TRUE, dimension=2)
#' )
#'
#' #------ Plugin 'world' with lines and color coding
#' if (interactive()) {
#' flights <- NULL
#' flights <- try(read.csv(paste0('https://raw.githubusercontent.com/plotly/datasets/master/',
#' '2011_february_aa_flight_paths.csv')), silent = TRUE)
#' if (!is.null(flights)) {
#' tmp <- data.frame(airport1 = unique(head(flights,10)$airport1),
#' color = c("#387e78","#eeb422","#d9534f",'magenta'))
#' tmp <- head(flights,10) |> inner_join(tmp) # add color by airport
#' ec.init(load= 'world',
#' geo= list(center= c(mean(flights$start_lon), mean(flights$start_lat)), zoom=7, map='world'),
#' series.param= list( type= 'lines',
#' data= lapply(ec.data(tmp, 'names'), function(x)
#' list(coords = list(c(x$start_lon, x$start_lat),
#' c(x$end_lon, x$end_lat)),
#' colr = x$color)
#' ),
#' lineStyle= list(curveness=0.3, width=3, color=ec.clmn('colr'))
#' )
#' )
#' } }
#'
#'
#' #------ registerMap JSON
#' # registerMap supports also maps in SVG format, see website gallery
#' if (interactive()) {
#' dusa <- USArrests |> mutate(name= row.names(USArrests)) |> rename(value=UrbanPop)
#' ec.init(
#' series.param= list(type= 'map', map= 'USA', roam= TRUE, zoom= 3, left= -100, top= -30,
#' data= ec.data(dusa, 'names')
#' ),
#' visualMap= list(type='continuous', calculable=TRUE, inRange= list(color= rainbow(8)),
#' min= min(dusa$value), max= max(dusa$value) )
#' ) |> ec.registerMap('USA', 'https://echarts.apache.org/examples/data/asset/geo/USA.json')
#' }
#'
#' #------ borders
#' data <- data.frame( # triangles map
#' long = c(-32, -31.5, -31, -31, -30.5, -30),
#' lat = c(50, 52, 50, 50, 51, 50),
#' region = c('A', 'A', 'A', 'A', 'A', 'A'),
#' subregion = c('sr1','sr1','sr1', 'sr2','sr2','sr2')
#' )
#' ec.init(
#' # geo= list(roam=T, map='trgl', itemStyle= list(areaColor='pink')),
#' series.param= list( type='map', map='trgl', roam=T,
#' data= list(
#' list(name= 'sr1', value= 9),
#' list(name= 'sr2', value= 1)
#' )
#' ),
#' visualMap= list( max=11, inRange= list(color= rev(rainbow(10)))),
#' tooltip=list(show=T)
#' ) |>
#' ec.registerMap('trgl', ec.data(data, 'borders'))
#'
#' # library(ggplot2) # CRAN complains
#' # df <- ggplot2::map_data("world", c("taiwan")) |>
#' # mutate(subregion= ifelse(is.na(subregion), region, subregion))
#' # ec.init(
#' # geo= list(roam=T, map='tw', itemStyle= list(areaColor='pink')),
#' # tooltip=list(show=T)
#' # ) |> ec.registerMap('tw', ec.data(df, 'borders'))
#'
#'
#' #------ locale
#' mo <- seq.Date(Sys.Date() - 444, Sys.Date(), by= "month")
#' df <- data.frame(date= mo, val= runif(length(mo), 1, 10))
#' p <- df |> ec.init(title= list(text= 'ZH locale test'),
#' toolbox= list(feature= list(saveAsImage= list(type='svg'))) )
#' p$x$locale <- 'ZH'
#' p$x$renderer <- 'svg'
#' p
#'
#'
#' #------ Pie
#' isl <- data.frame(name=names(islands), value=islands) |> filter(value>100) |> arrange(value)
#' ec.init( preset= FALSE,
#' title= list(text = "Landmasses over 60,000 sq.mi", left = 'center'),
#' tooltip= list(trigger='item'), #, formatter= ec.clmn()),
#' series= list(list(type= 'pie', radius= '50%',
#' data= ec.data(isl, 'names'), name='sq.mi'))
#' )
#'
#'
#' #------ Liquidfill plugin
#' if (interactive()) {
#' ec.init(load= 'liquid', preset=FALSE,
#' series= list(list(
#' type='liquidFill', data=c(0.66, 0.5, 0.4, 0.3),
#' waveAnimation= FALSE, animationDuration=0, animationDurationUpdate=0))
#' )
#' }
#'
#'
#' #------ Heatmap
#' times <- c(5,1,0,0,0,0,0,0,0,0,0,2,4,1,1,3,4,6,4,4,3,3,2,5,7,0,0,0,0,0,
#' 0,0,0,0,5,2,2,6,9,11,6,7,8,12,5,5,7,2,1,1,0,0,0,0,0,0,0,0,3,2,
#' 1,9,8,10,6,5,5,5,7,4,2,4,7,3,0,0,0,0,0,0,1,0,5,4,7,14,13,12,9,5,
#' 5,10,6,4,4,1,1,3,0,0,0,1,0,0,0,2,4,4,2,4,4,14,12,1,8,5,3,7,3,0,
#' 2,1,0,3,0,0,0,0,2,0,4,1,5,10,5,7,11,6,0,5,3,4,2,0,1,0,0,0,0,0,
#' 0,0,0,0,1,0,2,1,3,4,0,0,0,0,1,2,2,6)
#' df <- NULL; n <- 1;
#' for(i in 0:6) { df <- rbind(df, data.frame(0:23, rep(i,24), times[n:(n+23)])); n<-n+24 }
#' hours <- ec.data(df); hours <- hours[-1] # remove columns row
#' times <- c('12a',paste0(1:11,'a'),'12p',paste0(1:11,'p'))
#' days <- c('Saturday','Friday','Thursday','Wednesday','Tuesday','Monday','Sunday')
#' ec.init(preset= FALSE,
#' title= list(text='Punch Card Heatmap'),
#' tooltip= list(position='top'),grid=list(height='50%',top='10%'),
#' xAxis= list(type='category', data=times, splitArea=list(show=TRUE)),
#' yAxis= list(type='category', data=days, splitArea=list(show=TRUE)),
#' visualMap= list(min=0,max=10,calculable=TRUE,orient='horizontal',left='center',bottom='15%'),
#' series= list(list(name='Hours', type = 'heatmap', data= hours,label=list(show=TRUE),
#' emphasis=list(itemStyle=list(shadowBlur=10,shadowColor='rgba(0,0,0,0.5)'))))
#' )
#'
#'
#' #------ Plugin 3D
#' if (interactive()) {
#' data <- list()
#' for(y in 1:dim(volcano)[2]) for(x in 1:dim(volcano)[1])
#' data <- append(data, list(c(x, y, volcano[x,y])))
#' ec.init(load= '3D',
#' series= list(list(type= 'surface', data= data))
#' )
#' }
#'
#'
#' #------ 3D chart with custom item size
#' if (interactive()) {
#' iris |> group_by(Species) |>
#' mutate(size= log(Petal.Width*10)) |> # add size as 6th column
#' ec.init(
#' xAxis3D= list(name= 'Petal.Length'),
#' yAxis3D= list(name= 'Sepal.Width'),
#' zAxis3D= list(name= 'Sepal.Length'),
#' legend= list(show= TRUE),
#' series.param= list(type='scatter3D', symbolSize= ec.clmn(6, scale=10))
#' )
#' }
#'
#'
#' #------ Surface data equation with JS code
#' if (interactive()) {
#' ec.init(load= '3D',
#' series= list(list(
#' type= 'surface',
#' equation= list(
#' x = list(min= -3, max= 4, step= 0.05),
#' y = list(min= -3, max= 3, step= 0.05),
#' z = htmlwidgets::JS("function (x, y) {
#' return Math.sin(x * x + y * y) * x / Math.PI; }")
#' )
#' )))
#' }
#'
#'
#' #------ Surface with data from a data.frame
#' if (interactive()) {
#' data <- expand.grid(
#' x = seq(0, 2, by = 0.1),
#' y = seq(0, 1, by = 0.1)
#' ) |> mutate(z = x * (y ^ 2)) |> select(x,y,z)
#' ec.init(load= '3D',
#' series= list(list(
#' type= 'surface',
#' data= ec.data(data, 'values'))) )
#' }
#'
#'
#' #------ Band series with customization
#' dats <- as.data.frame(EuStockMarkets) |> mutate(day= 1:n()) |>
#' # first column ('day') becomes X-axis by default
#' dplyr::relocate(day) |> slice_head(n= 100)
#'
#' # 1. with unnamed data
#' bands <- ecr.band(dats, 'DAX','FTSE', name= 'Ftse-Dax',
#' areaStyle= list(color='pink'))
#' ec.init(load= 'custom',
#' tooltip= list(trigger= 'axis'),
#' legend= list(show= TRUE), xAxis= list(type= 'category'),
#' dataZoom= list(type= 'slider', end= 50),
#' series = append( bands,
#' list(list(type= 'line', name= 'CAC', color= 'red', symbolSize= 1,
#' data= ec.data(dats |> select(day,CAC), 'values')
#' ))
#' )
#' )
#'
#' # 2. with a dataset
#' # dats |> ec.init(load= 'custom', ...
#' # + replace data=... with encode= list(x='day', y='CAC')
#'
#'
#' #------ Error Bars on grouped data
#' df <- mtcars |> group_by(cyl,gear) |> summarise(yy= round(mean(mpg),2)) |>
#' mutate(low= round(yy-cyl*runif(1),2),
#' high= round(yy+cyl*runif(1),2))
#' df |> ec.init(load='custom', ctype='bar',
#' xAxis= list(type='category'), tooltip= list(show=TRUE)) |>
#' ecr.ebars( # name = 'eb', # cannot have own name in grouped series
#' encode= list(x='gear', y=c('yy','low','high')),
#' tooltip = list(formatter=ec.clmn('high %@
low %@', 'high','low')))
#'
#'
#' #------ Timeline animation and use of ec.upd for readability
#' Orange |> group_by(age) |> ec.init(
#' xAxis= list(type= 'category', name= 'tree'),
#' yAxis= list(max= max(Orange$circumference)),
#' timeline= list(autoPlay= TRUE),
#' series.param= list(type= 'bar', encode= list(x='Tree', y='circumference'))
#' ) |> ec.upd({
#' options <- lapply(options,
#' function(o) {
#' vv <- o$series[[1]]$datasetIndex +1;
#' vv <- dataset[[vv]]$transform$config[["="]]
#' o$title$text <- paste('age',vv,'days');
#' o })
#' })
#'
#'
#' #------ Timeline with pies
#' df <- data.frame(
#' group= c(1,1,1,1,2,2,2,2),
#' type= c("type1","type1","type2","type2","type1","type1","type2","type2"),
#' value= c(5,2,2,1,4,3,1,4),
#' label= c("name1","name2","name3","name4","name1","name2","name3","name4"),
#' color= c("blue","purple","red","gold","blue","purple","red","gold")
#' )
#' df |> group_by(group) |> ec.init(
#' legend= list(show=TRUE),
#' timeline= list(show=TRUE),
#' series.param= list(type= 'pie', roseType= 'radius',
#' itemStyle= list(color=ec.clmn(5)),
#' label= list(formatter=ec.clmn(4)),
#' encode=list(value='value', itemName='type'))
#' )
#'
#'
#' #------ Boxplot without grouping
#' ds <- mtcars |> select(cyl, drat) |>
#' ec.data(format='boxplot', jitter=0.1, symbolSize=6 ) #,layout='c')
#' ds$series[[1]]$color= 'LightGrey'
#' ds$series[[1]]$itemStyle= list(color='DimGray')
#' ec.init(
#' legend= list(show= TRUE), tooltip= list(show=TRUE),
#' dataset= ds$dataset, series= ds$series, xAxis= ds$xAxis, yAxis= ds$yAxis,
#' ) |> ec.theme('dark-mushroom')
#'
#'
#' #------ Boxplot with grouping
#' ds = airquality |> mutate(Day=round(Day/10)) |>
#' dplyr::relocate(Day,Wind,Month) |> group_by(Month) |>
#' ec.data(format='boxplot', jitter=0.1, layout= 'h')
#' ec.init(
#' dataset= ds$dataset, series= ds$series,xAxis= ds$xAxis, yAxis= ds$yAxis,
#' legend= list(show= TRUE), tooltip= list(show=TRUE)
#' )
#'
#'
#' #------ ecStat plugin: dataset transform to regression line
#' # presets for xAxis,yAxis,dataset and series are used
#' data.frame(x= 1:10, y= sample(1:100,10)) |>
#' ec.init(load= 'ecStat',
#' js= c('echarts.registerTransform(ecStat.transform.regression)','','')) |>
#' ec.upd({
#' dataset[[2]] <- list(
#' transform= list(type= 'ecStat:regression',
#' config= list(method= 'polynomial', order= 3)))
#' series[[2]] <- list(
#' type= 'line', itemStyle=list(color= 'red'), datasetIndex= 1)
#' })
#'
#'
#' #------ ecSimpleTransform
#' iris |> ec.init(
#' load='https://cdn.jsdelivr.net/gh/100pah/echarts-simple-transform@refs/heads/main/dist/ecSimpleTransform.min.js',
#' js= c('echarts.registerTransform(ecSimpleTransform.aggregate)','','')
#' ) |> ec.upd({
#' dataset <- append(dataset, list(list(
#' transform= list(
#' type='ecSimpleTransform:aggregate',
#' config= list(
#' resultDimensions= list(
#' list(from='Sepal.Width', method= 'average'), list(from='Species')
#' )
#' ,groupBy= 'Species'
#' ))
#' )) )
#' xAxis <- list(xAxis, list(data= as.character(unique(iris$Species)), name='Avg') )
#' series <- append(series, list(list(type='bar', encode=list(x='Species', y='Sepal.Width'),
#' datasetIndex=1, xAxisIndex=1, colorBy='data')))
#' })
#'
#' #------ ECharts: dataset, transform and sort
#' datset <- list(
#' list(source=list(
#' list('name', 'age', 'profession', 'score', 'date'),
#' list('Hannah Krause', 41, 'Engineer', 314, '2011-02-12'),
#' list('Zhao Qian', 20, 'Teacher', 351, '2011-03-01'),
#' list('Jasmin Krause', 52, 'Musician', 287, '2011-02-14'),
#' list('Li Lei', 37, 'Teacher', 219, '2011-02-18'),
#' list('Karle Neumann', 25, 'Engineer', 253, '2011-04-02'),
#' list('Adrian Gro?', 19, 'Teacher', NULL, '2011-01-16'),
#' list('Mia Neumann', 71, 'Engineer', 165, '2011-03-19'),
#' list('B?hm Fuchs', 36, 'Musician', 318, '2011-02-24'),
#' list('Han Meimei', 67, 'Engineer', 366, '2011-03-12'))),
#' list(transform = list(type= 'sort', config=list(
#' list(dimension='profession', order='desc'),
#' list(dimension='score', order='desc'))
#' )))
#' ec.init(
#' title= list(
#' text= 'Data transform, multiple-sort bar',
#' subtext= 'JS source',
#' sublink= paste0('https://echarts.apache.org/next/examples/en/editor.html',
#' '?c=doc-example/data-transform-multiple-sort-bar'),
#' left= 'center'),
#' tooltip= list(trigger= 'item', axisPointer= list(type= 'shadow')),
#' dataset= datset,
#' xAxis= list(type= 'category', axisLabel= list(interval=0, rotate=30)),
#' yAxis= list(name= 'score'),
#' series= list(list(
#' type= 'bar',
#' label= list(show= TRUE, rotate= 90, position= 'insideBottom',
#' align= 'left', verticalAlign= 'middle'),
#' itemStyle =list(color= htmlwidgets::JS("function (params) {
#' return ({
#' Engineer: '#5470c6',
#' Teacher: '#91cc75',
#' Musician: '#fac858'
#' })[params.data[2]]
#' }")),
#' encode= list(x= 'name', y= 'score', label= list('profession') ),
#' datasetIndex= 1
#' ))
#' )
#'
#'
#' #------ Sunburst
#' # see website for different ways to set hierarchical data
#' # https://helgasoft.github.io/echarty/uc3.html
#' data = list(list(name='Grandpa',children=list(list(name='Uncle Leo',value=15,
#' children=list(list(name='Cousin Jack',value=2), list(name='Cousin Mary',value=5,
#' children=list(list(name='Jackson',value=2))), list(name='Cousin Ben',value=4))),
#' list(name='Father',value=10,children=list(list(name='Me',value=5),
#' list(name='Brother Peter',value=1))))), list(name='Nancy',children=list(
#' list(name='Uncle Nike',children=list(list(name='Cousin Betty',value=1),
#' list(name='Cousin Jenny',value=2))))))
#' ec.init( preset= FALSE,
#' series= list(list(type= 'sunburst', data= data,
#' radius= list(0, '90%'),
#' label= list(rotate='radial') ))
#' )
#'
#' #------ Gauge
#' ec.init(preset= FALSE,
#' series= list(list(
#' type = 'gauge', max = 160, min=40,
#' detail = list(formatter='{value}'),
#' data = list(list(value=85, name='IQ test')) )) )
#'
#'
#' #------ Custom gauge with animation
#' jcode <- "setInterval(function () {
#' opts.series[0].data[0].value = (Math.random() * 100).toFixed(2) - 0;
#' chart.setOption(opts, true);}, 2000);"
#' ec.init(preset= FALSE, js= jcode,
#' series= list(list(
#' type= 'gauge',
#' axisLine= list(lineStyle=list(width=30,
#' color= list(c(0.3, '#67e0e3'),c(0.7, '#37a2da'),c(1, '#fd666d')))),
#' pointer= list(itemStyle=list(color='auto')),
#' axisTick= list(distance=-30,length=8, lineStyle=list(color='#fff',width=2)),
#' splitLine= list(distance=-30,length=30, lineStyle=list(color='#fff',width=4)),
#' axisLabel= list(color='auto',distance=40,fontSize=20),
#' detail= list(valueAnimation=TRUE, formatter='{value} km/h',color='auto'),
#' data= list(list(value=70))
#' )))
#'
#'
#' #------ Sankey and graph plots
#' sankey <- data.frame(
#' name = c("a","b", "c", "d", "e"),
#' source = c("a", "b", "c", "d", "c"),
#' target = c("b", "c", "d", "e", "e"),
#' value = c(5, 6, 2, 8, 13)
#' )
#' data <- ec.data(sankey, 'names')
#' ec.init(preset= FALSE,
#' series= list(list( type= 'sankey',
#' data= data,
#' edges= data ))
#' )
#'
#'
#' # graph plot with same data ---------------
#' ec.init(
#' title= list(text= 'Graph'),
#' tooltip= list(show= TRUE),
#' series= list(list(
#' type= 'graph',
#' layout= 'force', # try 'circular' too
#' data= data,
#' edges= lapply(data,
#' function(x) { x$lineStyle <- list(width=x$value); x }),
#' emphasis= list(focus= 'adjacency',
#' label= list(position= 'right', show=TRUE)),
#' label= list(show=TRUE), roam= TRUE, zoom= 4,
#' tooltip= list(textStyle= list(color= 'blue')),
#' lineStyle= list(curveness= 0.3) ))
#' )
#'
#' #------ tabsets
#' p1 <- cars |> ec.init(grid= list(top=26), height=333) # move chart up
#' p2 <- mtcars |> arrange(mpg) |> ec.init(height=333, ctype='line')
#' ec.util(cmd= 'tabset', cars= p1, mtcars= p2)
#'
#' #------ group connect
#' main <- mtcars |> ec.init(height= 200, legend= list(show=FALSE),
#' tooltip= list(axisPointer= list(axis='x')),
#' series.param= list(name= "this legend is shared"))
#' main$x$group <- 'group1' # same group name for all charts
#' main$x$connect <- 'group1'
#' q1 <- main |> ec.upd({ series[[1]]$encode <- list(y='hp'); yAxis$name <- 'hp'
#' legend <- list(show=TRUE) # show first legend to share
#' })
#' q2 <- main |> ec.upd({ series[[1]]$encode <- list(y='wt'); yAxis$name <- 'wt' })
#' ec.util(cmd='layout', list(q1,q2), cols=2, title='group connect')
#'
#'
#' #------ Javascript execution: ec.init 'js' parameter demo
#' # in single item scenario (js=jcode), execution is same as j3 below
#' if (interactive()) {
#' j1 <- "winvar= 'j1';" # set window variables
#' j2 <- "opts.title.text= 'changed';" # opts exposed
#' j3 <- "ww= chart.getWidth(); alert('width:'+ww);" # chart exposed
#' ec.init(js= c(j1, j2, j3), title= list(text= 'Title'),
#' series.param= list(name='sname'),
#' legend= list(formatter= ec.clmn("function(name) {
#' return name +' - '+ this.winvar; }"))
#' )
#' }
#'
#' #------ echarty Javascript built-in functions
#' jtgl <- "() => {
#' ch1 = ec_chart(echwid); // takes the auto-assigned id
#' //ch1 = ec_chart('myTree'); // manual id is OK too
#' opts = ch1.getOption();
#' //opts = ec_option(echwid); // for reading, without setOption
#' opts.series[0].orient= opts.series[0].orient=='TB' ? 'LR':'TB';
#' ch1.setOption(opts); }"
#' dbut <- ec.util(cmd='button', text='toggle', js=jtgl)
#' data <- list(list(name='root', children=list(list(name='A',value=1),list(name='B',value=3))))
#' ec.init( # elementId='myTree',
#' series.param= list(type='tree', data=data, symbolSize=33), graphic= list(dbut)
#' )
#'
#' #------ Events with Javascript handlers ----------
#' p <- mtcars |> group_by(cyl) |> ec.init(title= list(text=''), dataZoom= list(type= 'inside'))
#' p$x$on <- list( # events with Javascript handler
#' list(event= 'legendselectchanged', handler= ec.clmn(
#' "(e) => { ch1=ec_chart(echwid); opts=ch1.getOption(); opts.title[0].text= 'legend:'+e.name; ch1.setOption(opts); }")),
#' list(event= 'datazoom', handler= ec.clmn(
#' "(e) => { ch1=ec_chart(echwid); opts=ch1.getOption(); opts.title[0].text= 'Zoom.start: '+ e.batch[0].start.toFixed(); ch1.setOption(opts); }"))
#' )
#' p
#'
#'
#' p <- ec.init( preset= FALSE,
#' grid = list(left= "60%", top= "10%", bottom= "10%"),
#' xAxis = list(show=T),
#' yAxis = list(data = list("heart", "large-intestine", "small-intestine", "spleen", "kidney", "lung", "liver")),
#' series = list(
#' list(type= "bar", emphasis= list(focus= "self"), data= list(121, 321, 141, 52, 198, 289, 139)),
#' list(type='map', map= "organs", left= 10, right= "50%", selectedMode= "multiple",
#' emphasis= list(focus= "self", label= list(position="bottom", distance=0, color='#fff')),
#' itemStyle= list(borderWidth=2, borderColor= 'red')
#' )
#' ),
#' tooltip = list(show=T) ) |>
#' ec.registerMap('organs', 'https://echarts.apache.org/examples/data/asset/geo/Veins_Medical_Diagram_clip_art.svg') |>
#' ec.theme('dark-mushroom')
#' p$x$on <- list(
#' list(event='mouseover', handler=htmlwidgets::JS("function (event) {
#' this.dispatchAction({ type:'highlight', query:'series', name:event.name }); }") ),
#' list(event='mouseout', handler=htmlwidgets::JS("function (event) {
#' this.dispatchAction({ type:'downplay', query:'series', name:event.name }); }") )
#' )
#' p
#'
#' #------ generate chart SVG image with SSR & Shiny ----------
#' # see https://echarts.apache.org/handbook/en/how-to/cross-platform/server/
#' if (interactive()) {
#' runApp( list(
#' ui= fluidPage( ecs.output("plot") ),
#' server= function(input, output, session) {
#' jco1 <- "svgStr= chart.renderToSVGString(); Shiny.setInputValue('svgic', svgStr); chart.dispose();"
#' output$plot <- ecs.render({
#' cars |> ec.init(js=jco1, iniOpts= list(renderer='svg', ssr=TRUE, height=200, width=200), animation=F) #,ctype='bar')
#' })
#' # write a local file is easier in R than JS
#' observeEvent(input$svgic, { cat(input$svgic, file='c:/temp/plot.svg') })
#' }
#' ))
#' }
#'
#' #------ Events in Shiny ----------
#' if (interactive()) {
#' library(shiny); library(dplyr); library(echarty)
#'
#' ui <- fluidPage(ecs.output('plot'), textOutput('out1') )
#' server <- function(input, output, session) {
#' output$plot <- ecs.render({
#' p <- mtcars |> group_by(cyl) |> ec.init(dataZoom= list(type= 'inside'))
#' p$x$on <- list( # event(s) with Javascript handler
#' list(event= 'legendselectchanged',
#' handler= htmlwidgets::JS("(e) => Shiny.setInputValue('lgnd', 'legend:'+e.name);"))
#' )
#' p$x$capture <- 'datazoom'
#' p
#' })
#' observeEvent(input$plot_datazoom, { # captured event
#' output$out1 <- renderText({
#' paste('Zoom.start:',input$plot_datazoom$batch[[1]]$start,'%') })
#' })
#' observeEvent(input$plot_mouseover, { # built-in event
#' v <- input$plot_mouseover
#' output$out1 <- renderText({ paste('s:',v$seriesName,'d:',v$data[v$dataIndex+1]) })
#' })
#' observeEvent(input$lgnd, { # reactive response to on:legend event
#' output$out1 <- renderText({ input$lgnd })
#' })
#' }
#' shinyApp(ui, server)
#' }
#'
#' #------------- Shiny interactive charts demo ---------------
#' # run command: demo(eshiny)
#'
#' } # donttest