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Fixed grid in JFreeChart

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This commit is contained in:
Alexander Nozik 2018-07-27 15:34:46 +03:00
parent b02c14eb34
commit 2a83072d30
10 changed files with 69 additions and 72 deletions
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9
numass-control/dante/src/main/kotlin/inr/numass/control/dante/DanteTest.kt
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@ -19,12 +19,11 @@ package inr.numass.control.dante
import hep.dataforge.configure
import hep.dataforge.context.Context
import hep.dataforge.context.Global
import hep.dataforge.fx.plots.displayPlot
import hep.dataforge.meta.KMetaBuilder
import hep.dataforge.meta.buildMeta
import hep.dataforge.nullable
import hep.dataforge.plots.data.DataPlot
import hep.dataforge.plots.jfreechart.chart
import hep.dataforge.plots.output.plot
import hep.dataforge.tables.Adapters
import inr.numass.data.analyzers.NumassAnalyzer
import inr.numass.data.analyzers.SimpleAnalyzer
@ -79,8 +78,7 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
val lo = meta.optNumber("window.lo").nullable?.toInt()
val up = meta.optNumber("window.up").nullable?.toInt()
val data = SimpleAnalyzer().getAmplitudeSpectrum(this, meta.getMetaOrEmpty("spectrum")).withBinning(binning, lo, up)
context.displayPlot {
chart {
context.plot(plotName) {
val valueAxis = if (meta.getBoolean("normalize", false)) {
NumassAnalyzer.COUNT_RATE_KEY
} else {
@ -100,8 +98,7 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
Adapters.buildXYAdapter(NumassAnalyzer.CHANNEL_KEY, valueAxis)
)
plot.configure(meta)
add(plot)
}
+plot
}

7
numass-control/src/main/kotlin/inr/numass/control/FXExtensions.kt
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@ -1,5 +1,6 @@
package inr.numass.control
import hep.dataforge.configure
import hep.dataforge.fx.plots.PlotContainer
import hep.dataforge.meta.KMetaBuilder
import hep.dataforge.plots.PlotFrame
@ -137,10 +138,8 @@ fun EventTarget.switch(text: String = "", op: (ToggleSwitch.() -> Unit) = {}): T
/**
* Add frame
*/
fun BorderPane.plot(plottable: Plottable, metaTransform: (KMetaBuilder.() -> Unit)? = null): PlotFrame {
val meta = KMetaBuilder("plotFrame");
metaTransform?.invoke(meta)
val frame = JFreeChartFrame(meta)
fun BorderPane.plot(plottable: Plottable, metaTransform: (KMetaBuilder.() -> Unit) = {}): PlotFrame {
val frame = JFreeChartFrame().configure(metaTransform)
frame.add(plottable)
center = PlotContainer(frame).root
return frame;

2
numass-main/src/main/kotlin/inr/numass/actions/PlotFitResultAction.kt
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@ -68,7 +68,7 @@ object PlotFitResultAction : OneToOneAction<FitResult, FitResult>() {
StreamSupport.stream(data.spliterator(), false)
.map { dp -> Adapters.getXValue(adapter, dp).double }.sorted().forEach{ fit.calculateIn(it) }
context.plot(listOf(fit,DataPlot.plot("data", data, adapter)), this.name, name)
context.plot(listOf(fit,DataPlot.plot("data", data, adapter)), name, this.name)
return input
}

6
numass-main/src/main/kotlin/inr/numass/actions/TimeAnalyzerAction.kt
View File

@ -77,7 +77,7 @@ object TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
cr / 1e6 * initialEstimate.getInt(NumassAnalyzer.COUNT_KEY) * binSize * Math.exp(-it * cr / 1e6)
}
context.plot(listOf(histogramPlot, functionPlot), stage = this.name, name = "histogram") {
context.plot(listOf(histogramPlot, functionPlot), name = "histogram", stage = this.name) {
"xAxis" to {
"title" to "delay"
"units" to "us"
@ -105,7 +105,7 @@ object TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
"title" to "${name}_${input.voltage}"
}
context.plot(statPlot, stage = this.name, name = "count rate") {
context.plot(statPlot, name = "count rate", stage = this.name) {
"xAxis" to {
"title" to "delay"
"units" to "us"
@ -115,7 +115,7 @@ object TimeAnalyzerAction : OneToOneAction<NumassPoint, Table>() {
}
}
context.plot(errorPlot, stage = this.name, name = "error"){
context.plot(errorPlot, name = "error", stage = this.name){
"xAxis" to {
"title" to "delay"
"units" to "us"

4
numass-main/src/main/kotlin/inr/numass/actions/TimeSpectrumAction.kt
View File

@ -82,7 +82,7 @@ object TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
.fillData(histogram)
context.plot(histogramPlot, "histogram", name) {
context.plot(histogramPlot, name, "histogram") {
"xAxis" to {
"title" to "delay"
"units" to "us"
@ -103,7 +103,7 @@ object TimeSpectrumAction : OneToOneAction<NumassPoint, Table>() {
configure(inputMeta.getMetaOrEmpty("plot"))
}
context.plot(statPlot, "stat-method", name)
context.plot(statPlot, name, "stat-method")
(1..100).map { 1000 * it }.map { t ->
val result = analyzer.analyze(input, buildMeta {

8
numass-main/src/main/kotlin/inr/numass/data/Visualization.kt
View File

@ -16,15 +16,13 @@
package inr.numass.data
import hep.dataforge.configure
import hep.dataforge.context.Context
import hep.dataforge.context.Global
import hep.dataforge.fx.plots.displayPlot
import hep.dataforge.meta.KMetaBuilder
import hep.dataforge.meta.buildMeta
import hep.dataforge.nullable
import hep.dataforge.plots.data.DataPlot
import hep.dataforge.plots.jfreechart.chart
import hep.dataforge.plots.output.plot
import hep.dataforge.tables.Adapters
import inr.numass.data.analyzers.NumassAnalyzer
import inr.numass.data.analyzers.SmartAnalyzer
@ -38,8 +36,7 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
val lo = meta.optNumber("window.lo").nullable?.toInt()
val up = meta.optNumber("window.up").nullable?.toInt()
val data = SmartAnalyzer().getAmplitudeSpectrum(this, meta.getMetaOrEmpty("spectrum")).withBinning(binning, lo, up)
context.displayPlot {
chart {
context.plot(plotName) {
val valueAxis = if (meta.getBoolean("normalize", false)) {
NumassAnalyzer.COUNT_RATE_KEY
} else {
@ -61,5 +58,4 @@ fun NumassBlock.plotAmplitudeSpectrum(plotName: String = "spectrum", frameName:
plot.configure(meta)
add(plot)
}
}
}

7
numass-main/src/main/kotlin/inr/numass/models/mc/BetaSampler.kt
View File

@ -1,11 +1,10 @@
package inr.numass.models.mc
import hep.dataforge.context.Global
import hep.dataforge.fx.plots.displayPlot
import hep.dataforge.maths.chain.Chain
import hep.dataforge.meta.buildMeta
import hep.dataforge.plots.data.XYFunctionPlot
import hep.dataforge.plots.jfreechart.chart
import hep.dataforge.plots.output.plot
import hep.dataforge.stat.PolynomialDistribution
import hep.dataforge.stat.fit.ParamSet
import inr.numass.NumassPlugin
@ -47,10 +46,8 @@ fun main(args: Array<String>) {
50 * distribution.density(18600.0 - it)
}
Global.displayPlot {
chart {
Global.plot("beta") {
add(spectrumPlot)
add(distributionPlot)
}
}
}

9
numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/TestAnalyzer.kt
View File

@ -30,7 +30,10 @@ fun main(args: Array<String>) {
val point = (1..num).map {
Global.generate {
NumassGenerator.generateEvents(cr).withDeadTime { (dt * 1000).toLong() }.generateBlock(start.plusNanos(it * length), length)
NumassGenerator
.generateEvents(cr)
.withDeadTime { (dt * 1000).toLong() }
.generateBlock(start.plusNanos(it * length), length)
}
}.join(Global.coroutineContext) { blocks ->
SimpleNumassPoint(blocks, 12000.0)
@ -44,8 +47,10 @@ fun main(args: Array<String>) {
"mean" to TimeAnalyzer.AveragingMethod.ARITHMETIC
}
"binNum" to 200
"t0.max" to 1e4
"t0.max" to 5e4
}
TimeAnalyzerAction.simpleRun(point, meta);
readLine()
}

7
numass-main/src/main/kotlin/inr/numass/scripts/timeanalysis/TestBunch.kt
View File

@ -49,12 +49,15 @@ fun main(args: Array<String>) {
.generateEvents(cr)
val bunches = NumassGenerator
.generateBunches(10.0, 0.001, 5.0)
.generateBunches(3.0, 0.001, 5.0)
val discharges = NumassGenerator
.generateBunches(50.0,0.001,0.1)
NumassGenerator.mergeEventChains(events, bunches, discharges).withDeadTime { (dt * 1000).toLong() }.generateBlock(start.plusNanos(it * length), length)
NumassGenerator
.mergeEventChains(events, bunches, discharges)
.withDeadTime { (dt * 1000).toLong() }
.generateBlock(start.plusNanos(it * length), length)
}
}.join(Global.coroutineContext) { blocks ->
SimpleNumassPoint(blocks, 18000.0)

4
numass-main/src/main/kotlin/inr/numass/tasks/NumassTasks.kt
View File

@ -107,7 +107,7 @@ val monitorTableTask = task("monitor") {
if (meta.getBoolean("showPlot", true)) {
val plot = DataPlot.plot(name, res, Adapters.buildXYAdapter("timestamp", "cr", "crErr"))
context.plot(plot, "numass.monitor", name) {
context.plot(plot, name, "numass.monitor") {
"xAxis.title" to "time"
"xAxis.type" to "time"
"yAxis.title" to "Count rate"
@ -268,7 +268,7 @@ val plotFitTask = task("plotFit") {
val dataPlot = DataPlot.plot("data", data, adapter)
context.plot(listOf(fit, dataPlot), "numass.plotFit", name)
context.plot(listOf(fit, dataPlot), name, "numass.plotFit")
return@pipe input;
}