Gráficos de flotadores: manejo de múltiples flots en una sola página html
Tengo una pantalla que implementé en un solo gráfico y quiero extender la solución para que 3 gráficos tengan las mismas propiedades.
específicamente:
Quiero habilitar el zoom de selección + doble clic para restablecer la pantalla
Quiero que se pueda hacer clic en la leyenda de la serie para que la serie se encienda / apague con cada clic. Pude implementarlos con éxito en base apublicaciones anteriores
Aquí hay un violín con 3 gráficos en una sola página
Aquí está mi código original (escrito en coffeescript):
colorArray = []
colorArray.push "rgba(180, 0, 75, 0.6)"
colorArray.push "rgba(0, 150, 100, 0.6)"
colorArray.push "rgba(0, 0, 255, 0.6)"
colorArray.push "rgba(140, 0, 255, 0.6)"
colorArray.push "rgba(90, 180, 20, 0.6)"
colorArray.push "rgba(255, 236, 0, 0.6)"
colorArray.push "rgba(234, 170, 21, 0.6)"
colorArray.push "rgba(95, 180, 190, 0.6)"
colorArray.push "rgba(214, 92, 63, 0.6)"
colorArray.push "rgba(218, 106, 234, 0.6)"
colorArray.push "rgba(213, 128, 155, 0.6)"
# chart colors default
$chrt_border_color = "#efefef"
$chrt_grid_color = "#DDD"
$chrt_main = "#E24913"
# red
$chrt_second = "#6595b4"
# blue
$chrt_third = "#FF9F01"
# orange
$chrt_fourth = "#7e9d3a"
# green
$chrt_fifth = "#BD362F"
# dark red
$chrt_mono = "#000"
Chart =
generateDataObjects: (all_series, all_series_data) ->
plotData = []
for series, i in all_series
obj =
label: series.replace /__/g, "|"
data: all_series_data[i]
color: colorArray[i]
# obj = (
# label: series
# console.log "pushing series #{series}"
# data: all_series_data[i]
# color: colorArray[i]
# console.log "pushing color #{color} to #{series} series"
# )
plotData.push obj
return plotData
togglePlot: (seriesIdx) ->
console.log "seriesIdx is: #{seriesIdx}"
someData = this.plot.getData()
someData[seriesIdx-2].lines.show = not someData[seriesIdx-2].lines.show
someData[seriesIdx-2].points.show = not someData[seriesIdx-2].points.show
this.plot.setData someData
this.plot.draw()
return
getTooltip: (label, xval, yval, flotItem) ->
return '<span class="label bg-color-teal txt-color-white">'+label+'</span>'+'<br>Build: <span>'+ flotItem.series.data[flotItem.dataIndex][2]+'</span>' +"<br>Run ID: <strong> #{flotItem.series.data[flotItem.dataIndex][3].toString()}</strong>" + '<br>Result: <span>'+Chart.commify(yval)+'</span>'
commify: (x) ->
return x.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",");
generateChartOptions: (legend_container, ticks) ->
this.legendindex = 0
return (
series:
lines:
show: true
points:
show: true
crosshair:
mode: "x"
color: "#FF9900"
legend:
container: $("##{legend_container}")
labelFormatter: (label, series) ->
"<a href=\"javascript:void(0);\" class=\"legendtoggle\" data-index=\"" + Chart.legendindex++ + "\">" + label + "</a>"
# labelFormatter: (label, series) ->
# "<a href=\"javascript:void(0);\" onClick=\"Chart.togglePlot(" + series.idx + "); return false;\">" + label + "</a>"
noColumns: 4
# hideable: true
grid:
hoverable: true
clickable: true
tickColor: $chrt_border_color
borderWidth: 0
borderColor: $chrt_border_color
tooltip: true
tooltipOpts:
content : Chart.getTooltip
#content : "Value <b>$x</b> Value <span>$y</span>",
defaultTheme: false
xaxis:
ticks: ticks
rotateTicks: 30
selection:
mode: "xy"
)
jQuery ->
if $("#normalized_bw_chart").length # render only if the chart-id is present
raw_data = $("#normalized_bw_chart").data('results')
ticks = $("#normalized_bw_chart").data('ticks')
all_series = $("#normalized_bw_chart").data('series')
Chart.plot = $.plot($("#normalized_bw_chart"), Chart.generateDataObjects(all_series, raw_data), Chart.generateChartOptions('normalized_bw_legend', ticks))
if $("#concurrent_flows_chart").length # render only if the chart-id is present
raw_data = $("#concurrent_flows_chart").data('results')
ticks = $("#concurrent_flows_chart").data('ticks')
all_series = $("#concurrent_flows_chart").data('series')
Chart.plot = $.plot($("#concurrent_flows_chart"), Chart.generateDataObjects(all_series, raw_data), Chart.generateChartOptions('concurrent_flows_legend', ticks))
if $("#bandwidth_chart").length # render only if the chart-id is present
raw_data = $("#bandwidth_chart").data('results')
ticks = $("#bandwidth_chart").data('ticks')
all_series = $("#bandwidth_chart").data('series')
Chart.plot = $.plot($("#bandwidth_chart"), Chart.generateDataObjects(all_series, raw_data), Chart.generateChartOptions('bandwidth_legend', ticks))
$('body').on 'click', 'a.legendtoggle', (event) ->
Chart.togglePlot($(this).data('index'))
return false
$("[data-behavior~=chart-selection]").bind "plotselected", (event, ranges) ->
selected_chart = $(this).attr('id')[0...-6] # slicing the name of the selected item
console.log ("zooming in to " + selected_chart)
plot = $.plot($("##{selected_chart}_chart"), plot.getData(), $.extend(true, {}, Chart.generateChartOptions(selected_chart+'_legend', ticks),
xaxis:
min: ranges.xaxis.from
max: ranges.xaxis.to
yaxis:
min: ranges.yaxis.from
max: ranges.yaxis.to
))
return
$("#normalized_bw_chart").bind "plotselected", (event, ranges) ->
# ranges.xaxis.to = ranges.xaxis.from + 0.0005 if ranges.xaxis.to - ranges.xaxis.from < 0.0005
# ranges.yaxis.to = ranges.yaxis.from + 0.0005 if ranges.yaxis.to - ranges.yaxis.from < 0.0005
plot = $.plot($("#normalized_bw_chart"), plot.getData(), $.extend(true, {}, Chart.generateChartOptions('normalized_bw_legend', ticks),
xaxis:
min: ranges.xaxis.from
max: ranges.xaxis.to
yaxis:
min: ranges.yaxis.from
max: ranges.yaxis.to
))
return
$("[data-behavior~=chart-selection]").bind "dblclick", (event, pos, item) ->
selected_chart = $(this).attr('id')[0...-6] # slicing the name of the selected item
console.log ("zooming out to " + selected_chart)
plot = $.plot($("##{selected_chart}_chart"), plot.getData(), $.extend(true, {}, Chart.generateChartOptions(selected_chart+'_legend', ticks),
xaxis:
min: null
max: null
yaxis:
min: null
max: null
))
return
$("#normalized_bw_chart").bind "dblclick", (event, pos, item) ->
plot = $.plot($("#normalized_bw_chart"), plot.getData(), $.extend(true, {}, Chart.generateChartOptions('normalized_bw_legend', ticks),
xaxis:
min: null
max: null
yaxis:
min: null
max: null
))
return
¿Cuál sería la forma más eficiente de implementar esto (al intentar evitar la duplicación de código)?
¡¡Gracias!!