From 79d5918813ff32278a00ab0a81066a38d1db433d Mon Sep 17 00:00:00 2001 From: Andrei Date: Fri, 8 Dec 2023 16:49:50 +0400 Subject: [PATCH 1/6] add ribbon samples notebook --- .../ribbon/regression_confidence_band.svg | 334 + .../regression_confidence_band_dark.svg | 334 + .../samples/ribbon/ribbon_function_plot.svg | 317 + .../ribbon/ribbon_function_plot_dark.svg | 317 + docs/images/samples/ribbon/ribbon_grouped.svg | 342 + .../samples/ribbon/ribbon_grouped_dark.svg | 342 + .../images/samples/ribbon/ribbon_settings.svg | 336 + .../samples/ribbon/ribbon_settings_dark.svg | 336 + docs/images/samples/ribbon/ribbon_simple.svg | 339 + .../samples/ribbon/ribbon_simple_dark.svg | 339 + .../samples/ribbon/ribbon_with_line.svg | 352 + .../samples/ribbon/ribbon_with_line_dark.svg | 352 + docs/topics/samples/ribbon/Simple-Ribbon.md | 28 + .../ribbon/regression_confidence_band.ipynb | 1372 ++++ .../samples/ribbon/ribbon_function_plot.ipynb | 6494 +++++++++++++++++ .../samples/ribbon/ribbon_grouped.ipynb | 618 ++ .../samples/ribbon/ribbon_settings.ipynb | 497 ++ .../samples/ribbon/ribbon_simple.ipynb | 471 ++ .../samples/ribbon/ribbon_with_line.ipynb | 622 ++ .../kotlinx/kandy/letsplot/samples/ribbon.kt | 302 + 20 files changed, 14444 insertions(+) create mode 100644 docs/images/samples/ribbon/regression_confidence_band.svg create mode 100644 docs/images/samples/ribbon/regression_confidence_band_dark.svg create mode 100644 docs/images/samples/ribbon/ribbon_function_plot.svg create mode 100644 docs/images/samples/ribbon/ribbon_function_plot_dark.svg create mode 100644 docs/images/samples/ribbon/ribbon_grouped.svg create mode 100644 docs/images/samples/ribbon/ribbon_grouped_dark.svg create mode 100644 docs/images/samples/ribbon/ribbon_settings.svg create mode 100644 docs/images/samples/ribbon/ribbon_settings_dark.svg create mode 100644 docs/images/samples/ribbon/ribbon_simple.svg create mode 100644 docs/images/samples/ribbon/ribbon_simple_dark.svg create mode 100644 docs/images/samples/ribbon/ribbon_with_line.svg create mode 100644 docs/images/samples/ribbon/ribbon_with_line_dark.svg create mode 100644 docs/topics/samples/ribbon/Simple-Ribbon.md create mode 100644 examples/notebooks/lets-plot/samples/ribbon/regression_confidence_band.ipynb create mode 100644 examples/notebooks/lets-plot/samples/ribbon/ribbon_function_plot.ipynb create mode 100644 examples/notebooks/lets-plot/samples/ribbon/ribbon_grouped.ipynb create mode 100644 examples/notebooks/lets-plot/samples/ribbon/ribbon_settings.ipynb create mode 100644 examples/notebooks/lets-plot/samples/ribbon/ribbon_simple.ipynb create mode 100644 examples/notebooks/lets-plot/samples/ribbon/ribbon_with_line.ipynb create mode 100644 kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt diff --git a/docs/images/samples/ribbon/regression_confidence_band.svg b/docs/images/samples/ribbon/regression_confidence_band.svg new file mode 100644 index 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b/examples/notebooks/lets-plot/samples/ribbon/ribbon_function_plot.ipynb new file mode 100644 index 00000000..88288bb2 --- /dev/null +++ b/examples/notebooks/lets-plot/samples/ribbon/ribbon_function_plot.ipynb @@ -0,0 +1,6494 @@ +{ + "cells": [ + { + "cell_type": "code", + "outputs": [], + "source": [ + "%use dataframe, kandy" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T11:56:47.627258Z", + "start_time": "2023-12-07T11:56:31.525460Z" + } + }, + "execution_count": 1 + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2023-12-07T11:56:48.354194Z", + "start_time": "2023-12-07T11:56:47.628220Z" + } + }, + "outputs": [], + "source": [ + "val xs = (-1000..1000).map { it / 250.0f }\n", + "val function = { x: Float -> sin(2 * x) * cos(x / 2 - 3.0) }\n", + "val yActual = xs.map(function)\n", + "val yLow = yActual.map { it - 0.25 }\n", + "val yHigh = yActual.map { it + 0.25 }" + 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"swing_enabled": true + } + }, + "metadata": {}, + "output_type": "execute_result", + "execution_count": 4 + } + ], + "source": [ + "plot {\n", + " ribbon { \n", + " x(xs)\n", + " yMin(yLow)\n", + " yMax(yHigh)\n", + " fillColor = Color.LIGHT_BLUE\n", + " }\n", + "}" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T11:57:59.986511Z", + "start_time": "2023-12-07T11:57:59.695943Z" + } + }, + "execution_count": 4 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Kotlin", + "language": "kotlin", + "name": "kotlin" + }, + "language_info": { + "name": "kotlin", + "version": "1.9.0", + "mimetype": "text/x-kotlin", + "file_extension": ".kt", + "pygments_lexer": "kotlin", + "codemirror_mode": "text/x-kotlin", + "nbconvert_exporter": "" + }, + "ktnbPluginMetadata": { + "projectLibraries": [] + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/examples/notebooks/lets-plot/samples/ribbon/ribbon_grouped.ipynb b/examples/notebooks/lets-plot/samples/ribbon/ribbon_grouped.ipynb new file mode 100644 index 00000000..fd8d670f --- /dev/null +++ b/examples/notebooks/lets-plot/samples/ribbon/ribbon_grouped.ipynb @@ -0,0 +1,618 @@ +{ + "cells": [ + { + "cell_type": "code", + "outputs": [], + "source": [ + "%use dataframe, kandy" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T12:22:58.393353Z", + "start_time": "2023-12-07T12:22:39.871949Z" + } + }, + "execution_count": 1 + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2023-12-07T12:38:31.705854Z", + "start_time": "2023-12-07T12:38:31.205956Z" + } + }, + "outputs": [], + "source": [ + "val times = listOf(\"00:00\", \"06:00\", \"12:00\", \"18:00\", \"24:00\")\n", + "val btcMin = listOf(310, 225, 202, 278, 360)\n", + "val btcMax = listOf(334, 307, 243, 293, 388)\n", + "val ethMin = listOf(180, 205, 256, 300, 280)\n", + "val ethMax = listOf(210, 234, 299, 322, 331)\n", + "\n", + "val dataset = dataFrameOf(\n", + " \"time\" to times + times,\n", + " \"min\" to btcMin + ethMin,\n", + " \"max\" to btcMax + ethMax,\n", + " \"currency\" to List(5) { \"btc\" } + List(5) { \"eth\" }\n", + ")" + ] + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 00:00\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 06:00\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 12:00\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 18:00\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 24:00\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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" \n", + " \n", + " \n", + " \n", + " Bubble Tea\n", + " \n", + " \n", + " Coin\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " E-Traders\n", + " \n", + " \n", + " Hedgehogs\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " " + ], + "application/plot+json": { + "output_type": "lets_plot_spec", + "output": { + "mapping": {}, + "data": { + "&merged_groups": [ + "btc", + "btc", + "btc", + "btc", + "btc", + "eth", + "eth", + "eth", + "eth", + "eth" + ], + "min": [ + 310.0, + 225.0, + 202.0, + 278.0, + 360.0, + 180.0, + 205.0, + 256.0, + 300.0, + 280.0 + ], + "max": [ + 334.0, + 307.0, + 243.0, + 293.0, + 388.0, + 210.0, + 234.0, + 299.0, + 322.0, + 331.0 + ], + "currency": [ + "btc", + "btc", + "btc", + "btc", + "btc", + "eth", + "eth", + "eth", + "eth", + "eth" + ], + "time": [ + "00:00", + "06:00", + 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tokens\"\n", + " }\n", + " yMin(\"min\")\n", + " yMax(\"max\")\n", + " fillColor(\"currency\") {\n", + " legend.breaksLabeled(\"btc\" to \"Bubble Tea\\nCoin\", \"eth\" to \"E-Traders\\nHedgehogs\")\n", + " }\n", + " alpha = 0.6\n", + " borderLine.width = 0.0\n", + " }\n", + "}" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T13:01:44.822299Z", + "start_time": "2023-12-07T13:01:44.608218Z" + } + }, + "execution_count": 10 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Kotlin", + "language": "kotlin", + "name": "kotlin" + }, + "language_info": { + "name": "kotlin", + "version": "1.9.0", + "mimetype": "text/x-kotlin", + "file_extension": ".kt", + "pygments_lexer": "kotlin", + "codemirror_mode": "text/x-kotlin", + "nbconvert_exporter": "" + }, + "ktnbPluginMetadata": { + "projectLibraries": [] + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/examples/notebooks/lets-plot/samples/ribbon/ribbon_settings.ipynb b/examples/notebooks/lets-plot/samples/ribbon/ribbon_settings.ipynb new file mode 100644 index 00000000..d9f13bdb --- /dev/null +++ b/examples/notebooks/lets-plot/samples/ribbon/ribbon_settings.ipynb @@ -0,0 +1,497 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2023-12-07T10:24:33.452299Z", + "start_time": "2023-12-07T10:24:22.975591Z" + } + }, + "outputs": [], + "source": [ + "%use dataframe, kandy" + ] + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "val year by columnOf(\"2019\", \"2020\", \"2021\", \"2022\", \"2023\")\n", + "val minCost by columnOf(56.5, 59.9, 60.8, 78.9, 75.5)\n", + "val maxCost by columnOf(58.1, 69.3, 66.4, 108.3, 92.2)\n", + "\n", + "val df = dataFrameOf(year, minCost, maxCost)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T10:25:05.090621Z", + "start_time": "2023-12-07T10:25:04.769141Z" + } + }, + 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"2023-12-07T10:35:11.296270Z", + "start_time": "2023-12-07T10:34:55.595613Z" + } + }, + "outputs": [], + "source": [ + "%use dataframe, kandy" + ] + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "val day = listOf(\"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\", \"Sun\")\n", + "val low = listOf(16345f, 18718f, 17541f, 17302f, 15991f, 18315f, 20189f)\n", + "val high = listOf(18252f, 19912f, 19001f, 21540f, 18770f, 20945f, 23007f)\n", + "val mid = low.zip(high).map { (it.second + it.first) / 2 }" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T11:14:47.975717Z", + "start_time": "2023-12-07T11:14:47.823465Z" + } + }, + "execution_count": 10 + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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"output_type": "lets_plot_spec", + "output": { + "mapping": {}, + "data": { + "ymin": [ + 16345.0, + 18718.0, + 17541.0, + 17302.0, + 15991.0, + 18315.0, + 20189.0 + ], + "ymax": [ + 18252.0, + 19912.0, + 19001.0, + 21540.0, + 18770.0, + 20945.0, + 23007.0 + ], + "x": [ + "Mon", + "Tue", + "Wed", + "Thu", + "Fri", + "Sat", + "Sun" + ], + "y": [ + 17298.5, + 19315.0, + 18271.0, + 19421.0, + 17380.5, + 19630.0, + 21598.0 + ] + }, + "kind": "plot", + "scales": [ + { + "aesthetic": "x", + "discrete": true, + "name": "day of week" + }, + { + "aesthetic": "y", + "limits": [ + null, + null + ] + }, + { + "aesthetic": "x", + "discrete": true, + "name": "day of week" + }, + { + "aesthetic": "y", + "name": "price", + "limits": [ + 15000.0, + 24000.0 + ] + } + ], + "layers": [ + { + "mapping": { + "x": "x", + "y": "y" + }, + "stat": "identity", + "color": "#3ba272", + "size": 2.0, + "linetype": "dotted", + "sampling": "none", + "position": "identity", + "geom": "line" + }, + { + "mapping": { + "x": "x", + "ymin": "ymin", + "ymax": "ymax" + }, + "stat": "identity", + "color": "#5470c6", + "sampling": "none", + "position": "identity", + "geom": "ribbon" + } + ] + }, + "apply_color_scheme": true, + "swing_enabled": true + } + }, + "metadata": {}, + "output_type": "execute_result", + "execution_count": 12 + } + ], + "source": [ + "plot {\n", + " x(day) { axis.name = \"day of week\" }\n", + " y {\n", + " axis.name = \"price\"\n", + " scale = continuous(15000f..24000f)\n", + " }\n", + " line { \n", + " y(mid)\n", + " color = Color.GREEN\n", + " type = LineType.DOTTED\n", + " width = 2.0\n", + " }\n", + " ribbon { \n", + " yMin(low)\n", + " yMax(high)\n", + " borderLine.color = Color.BLUE\n", + " }\n", + "}" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2023-12-07T12:05:48.495950Z", + "start_time": "2023-12-07T12:05:48.159072Z" + } + }, + "execution_count": 12 + } + ], + "metadata": { + "kernelspec": { + "display_name": "Kotlin", + "language": "kotlin", + "name": "kotlin" + }, + "language_info": { + "name": "kotlin", + "version": "1.9.0", + "mimetype": "text/x-kotlin", + "file_extension": ".kt", + "pygments_lexer": "kotlin", + "codemirror_mode": "text/x-kotlin", + "nbconvert_exporter": "" + }, + "ktnbPluginMetadata": { + "projectLibraries": [] + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt b/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt new file mode 100644 index 00000000..7457bc4b --- /dev/null +++ b/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt @@ -0,0 +1,302 @@ +package org.jetbrains.kotlinx.kandy.letsplot.samples + +import org.jetbrains.kotlinx.dataframe.api.columnOf +import org.jetbrains.kotlinx.dataframe.api.groupBy +import org.jetbrains.kotlinx.dataframe.api.dataFrameOf +import org.jetbrains.kotlinx.dataframe.api.toColumn +import org.jetbrains.kotlinx.kandy.dsl.continuous +import org.jetbrains.kotlinx.kandy.dsl.plot +import org.jetbrains.kotlinx.kandy.letsplot.layers.line +import org.jetbrains.kotlinx.kandy.letsplot.layers.ribbon +import org.jetbrains.kotlinx.kandy.letsplot.settings.LineType +import org.jetbrains.kotlinx.kandy.letsplot.x +import org.jetbrains.kotlinx.kandy.letsplot.y +import org.jetbrains.kotlinx.kandy.util.context.invoke +import org.jetbrains.kotlinx.kandy.util.color.Color +import org.jetbrains.kotlinx.statistics.kandy.stattransform.statSmooth +import kotlin.math.* +import kotlin.test.Test + +class Ribbon : SampleHelper("ribbon") { + + @Test + fun ribbon_simple_dataframe() { + // SampleStart + val xs by columnOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0) + val mins by columnOf(0.2, 0.9, 0.55, 1.32, 2.2, 1.5) + val maxs by columnOf(0.7, 1.4, 1.1, 2.1, 2.6, 2.2) + val df = dataFrameOf(xs, mins, maxs) + + df.plot { + ribbon { + x(xs) + yMin(mins) + yMax(maxs) + } + } + // SampleEnd + .saveSample() + } + + @Test + fun ribbon_simple_collections() { + // SampleStart + val xs = listOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0) + val mins = listOf(0.2, 0.9, 0.55, 1.32, 2.2, 1.5) + val maxs = listOf(0.7, 1.4, 1.1, 2.1, 2.6, 2.2) + + plot { + ribbon { + x(xs) + yMin(mins) + yMax(maxs) + } + } + // SampleEnd + } + + @Test + fun ribbon_settings_dataframe() { + // SampleStart + val year by columnOf("2019", "2020", "2021", "2022", "2023") + val minCost by columnOf(56.5, 59.9, 60.8, 78.9, 75.5) + val maxCost by columnOf(58.1, 69.3, 66.4, 108.3, 92.2) + val df = dataFrameOf(year, minCost, maxCost) + + df.plot { + ribbon { + x(year) + y { + axis.name = "cost" + scale = continuous(55.0..110.0) + } + yMin(minCost) + yMax(maxCost) + fillColor = Color.hex(0x3f21e6) + alpha = 0.65 + borderLine { + color = Color.RED + width = 0.8 + type = LineType.DASHED + } + } + } + // SampleEnd + .saveSample() + } + + @Test + fun ribbon_settings_collections() { + // SampleStart + val year = listOf("2019", "2020", "2021", "2022", "2023") + val minCost = listOf(56.5, 59.9, 60.8, 78.9, 75.5) + val maxCost = listOf(58.1, 69.3, 66.4, 108.3, 92.2) + + plot { + ribbon { + x(year) + y { + axis.name = "cost" + scale = continuous(55.0..110.0) + } + yMin(minCost) + yMax(maxCost) + fillColor = Color.hex(0x3f21e6) + alpha = 0.65 + borderLine { + color = Color.RED + width = 0.8 + type = LineType.DASHED + } + } + } + // SampleEnd + } + + @Test + fun ribbon_function_plot() { + // SampleStart + val xs = (-1000..1000).map { it / 250.0f } + val function = { x: Float -> sin(2 * x) * cos(x / 2 - 3.0) } + val yActual = xs.map(function) + val yLow = yActual.map { it - 0.25 } + val yHigh = yActual.map { it + 0.25 } + + plot { + ribbon { + x(xs) + yMin(yLow) + yMax(yHigh) + fillColor = Color.LIGHT_BLUE + } + } + // SampleEnd + .saveSample() + } + + @Test + fun ribbon_with_line_dataframe() { + // SampleStart + val day by columnOf("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun") + val low by columnOf(16345f, 18718f, 17541f, 17302f, 15991f, 18315f, 20189f) + val high by columnOf(18252f, 19912f, 19001f, 21540f, 18770f, 20945f, 23007f) + val mid by (low.values().zip(high.values()).map { (it.second + it.first) / 2 }).toColumn() + val df = dataFrameOf(day, low, mid, high) + + df.plot { + x(day) { axis.name = "day of week" } + y { + axis.name = "price" + scale = continuous(15000f..24000f) + } + line { + y(mid) + color = Color.GREEN + type = LineType.DOTTED + width = 2.0 + } + ribbon { + yMin(low) + yMax(high) + borderLine.color = Color.BLUE + } + } + // SampleEnd + .saveSample() + } + + @Test + fun ribbon_with_line_collections() { + // SampleStart + val day = listOf("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun") + val low = listOf(16345f, 18718f, 17541f, 17302f, 15991f, 18315f, 20189f) + val high = listOf(18252f, 19912f, 19001f, 21540f, 18770f, 20945f, 23007f) + val mid = low.zip(high).map { (it.second + it.first) / 2 } + + plot { + x(day) { axis.name = "day of week" } + y { + axis.name = "price" + scale = continuous(15000f..24000f) + } + line { + y(mid) + color = Color.GREEN + type = LineType.DOTTED + width = 2.0 + } + ribbon { + yMin(low) + yMax(high) + borderLine.color = Color.BLUE + } + } + // SampleEnd + } + + @Test + fun ribbon_grouped_dataframe() { + // SampleStart + val times = listOf("00:00", "06:00", "12:00", "18:00", "24:00") + val btcMin = listOf(310, 225, 202, 278, 360) + val btcMax = listOf(334, 307, 243, 293, 388) + val ethMin = listOf(180, 205, 256, 300, 280) + val ethMax = listOf(210, 234, 299, 322, 331) + + val dataset = dataFrameOf( + "time" to times + times, + "min" to btcMin + ethMin, + "max" to btcMax + ethMax, + "currency" to List(5) { "btc" } + List(5) { "eth" } + ) + + dataset.groupBy("currency").plot { + ribbon { + x("time") + y { + limits = 170..400 + axis.name = "price, tokens" + } + yMin("min") + yMax("max") + fillColor("currency") { + legend.breaksLabeled("btc" to "Bubble Tea\nCoin", "eth" to "E-Traders\nHedgehogs") + } + alpha = 0.6 + borderLine.width = 0.0 + } + } + // SampleEnd + .saveSample() + } + + @Test + fun ribbon_grouped_collections() { + // SampleStart + val times = listOf("00:00", "06:00", "12:00", "18:00", "24:00") + val btcMin = listOf(310, 225, 202, 278, 360) + val btcMax = listOf(334, 307, 243, 293, 388) + val ethMin = listOf(180, 205, 256, 300, 280) + val ethMax = listOf(210, 234, 299, 322, 331) + + val dataset = mapOf( + "time" to times + times, + "min" to btcMin + ethMin, + "max" to btcMax + ethMax, + "currency" to List(5) { "btc" } + List(5) { "eth" } + ) + + dataset.plot { + groupBy("currency") { + ribbon { + x("time") + y { + limits = 170..400 + axis.name = "price, tokens" + } + yMin("min") + yMax("max") + fillColor("currency") { + legend.breaksLabeled("btc" to "Bubble Tea\nCoin", "eth" to "E-Traders\nHedgehogs") + } + alpha = 0.6 + borderLine.width = 0.0 + } + } + } + // SampleEnd + } + + @Test + fun regression_confidence_band() { + val xs = listOf( + -3.0, -2.8, -2.7, -2.6, -2.6, -2.5, -2.2, -3.1, -1.5, + -0.2, 2.0, 1.2, 2.6, 2.1, 0.1, 1.2, 1.7, 0.0, 2.8, + 2.5, 0.2, 1.3, 2.5 + ) + val ys = listOf( + -1.4, -1.2, -1.4, -1.3, -1.2, -1.1, 1.5, 2.4, 1.1, -0.9, + 3.5, 1.6, -0.7, 1.2, 0.1, 3.4, 2.8, 4.2, 1.16, 4.1, 2.2, + 1.4, 5.1 + ) + + plot { + statSmooth(xs, ys) { + line { + x(Stat.x) + y(Stat.y) + width = 2.0 + color = Color.BLUE + } + ribbon { + x(Stat.x) + yMin(Stat.yMin) + yMax(Stat.yMax) + borderLine.width = 0.0 + } + } + } + // SampleEnd + .saveSample() + } +} \ No newline at end of file From db0434ec5e7cb11efae0138a7d0856549190aa50 Mon Sep 17 00:00:00 2001 From: Andrei Date: Tue, 12 Dec 2023 14:12:58 +0400 Subject: [PATCH 2/6] fix missing stack position --- .../kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/bars.kt | 1 + 1 file changed, 1 insertion(+) diff --git a/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/bars.kt b/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/bars.kt index ac8009a3..f46d9d93 100644 --- a/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/bars.kt +++ b/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/bars.kt @@ -393,6 +393,7 @@ class Bars : SampleHelper("bars") { "soda" to Color.hex("#B5651D") ) } + position = Position.stack() } } } From cdf58c87cf8bbe4688dfa2e7f1d67183d31687db Mon Sep 17 00:00:00 2001 From: Andrei Date: Wed, 13 Dec 2023 01:24:48 +0400 Subject: [PATCH 3/6] fix bars --- docs/topics/samples/bars/Stacked-Bars.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/topics/samples/bars/Stacked-Bars.md b/docs/topics/samples/bars/Stacked-Bars.md index 9f5a82d8..fc823d7e 100644 --- a/docs/topics/samples/bars/Stacked-Bars.md +++ b/docs/topics/samples/bars/Stacked-Bars.md @@ -73,6 +73,7 @@ dataset.plot { "soda" to Color.hex("#B5651D") ) } + position = Position.stack() } } } From b1e11d9f2e85ea2d8591a5bbe8731ecbc0657115 Mon Sep 17 00:00:00 2001 From: Andrei Date: Wed, 13 Dec 2023 01:25:16 +0400 Subject: [PATCH 4/6] Add ribbon gallery --- docs/kd.tree | 8 ++ docs/topics/Examples.topic | 46 ++++++++ docs/topics/samples/Ribbon.md | 3 + .../samples/ribbon/Function-Ribbon-Graph.md | 48 +++++++++ .../ribbon/Regression-Confidence-Band.md | 59 ++++++++++ docs/topics/samples/ribbon/Ribbon-Settings.md | 86 +++++++++++++++ .../topics/samples/ribbon/Ribbon-With-Line.md | 89 +++++++++++++++ docs/topics/samples/ribbon/Several-Ribbons.md | 102 ++++++++++++++++++ docs/topics/samples/ribbon/Simple-Ribbon.md | 44 +++++++- examples/README.md | 45 ++++++++ .../ribbon/regression_confidence_band.ipynb | 12 ++- .../samples/ribbon/ribbon_with_line.ipynb | 70 ++++++------ kandy-lets-plot/build.gradle.kts | 1 + .../kotlinx/kandy/letsplot/samples/ribbon.kt | 1 + 14 files changed, 573 insertions(+), 41 deletions(-) create mode 100644 docs/topics/samples/Ribbon.md create mode 100644 docs/topics/samples/ribbon/Function-Ribbon-Graph.md create mode 100644 docs/topics/samples/ribbon/Regression-Confidence-Band.md create mode 100644 docs/topics/samples/ribbon/Ribbon-Settings.md create mode 100644 docs/topics/samples/ribbon/Ribbon-With-Line.md create mode 100644 docs/topics/samples/ribbon/Several-Ribbons.md diff --git a/docs/kd.tree b/docs/kd.tree index 0ba604fb..722d4409 100644 --- a/docs/kd.tree +++ b/docs/kd.tree @@ -173,6 +173,14 @@ + + + + + + + + diff --git a/docs/topics/Examples.topic b/docs/topics/Examples.topic index 5ad22c1a..a5fec2ac 100644 --- a/docs/topics/Examples.topic +++ b/docs/topics/Examples.topic @@ -395,6 +395,52 @@ + + +
  • + + Simple Ribbon + Simple Ribbon + +
    • + +
  • + + Ribbon Settings + Ribbon Settings + +
    • + +
  • + + Ribbon with Line + Ribbon With Line + +
    • + +
  • + + Several Ribbons + Several Ribbons + +
    • + +
  • + + Function Ribbon Graph + Function Ribbon Graph + +
    • + +
  • + + Regression Confidence Band + Regression Confidence Band + +
    • +     +     +
  • diff --git a/docs/topics/samples/Ribbon.md b/docs/topics/samples/Ribbon.md new file mode 100644 index 00000000..780cd7ab --- /dev/null +++ b/docs/topics/samples/Ribbon.md @@ -0,0 +1,3 @@ +# Ribbon + + \ No newline at end of file diff --git a/docs/topics/samples/ribbon/Function-Ribbon-Graph.md b/docs/topics/samples/ribbon/Function-Ribbon-Graph.md new file mode 100644 index 00000000..07009b38 --- /dev/null +++ b/docs/topics/samples/ribbon/Function-Ribbon-Graph.md @@ -0,0 +1,48 @@ +# Function Ribbon Graph + + +Explore 'Function Ribbon Graph' in Kotlin using Kandy to visualize complex mathematical functions. +This example uniquely demonstrates how ribbon plots can be used to represent intricate function behaviors and patterns. + + + +'Function Ribbon Graph' in Kotlin with Kandy: +A mathematical journey into visualizing complex functions using ribbon plots, perfect for an analytical view of functional dynamics. + + + +Dive into 'Function Ribbon Graph' using Kotlin and Kandy, where mathematics meets art in the visualization of complex functional relationships with ribbon plots. + + + + + + + +```kotlin +val xs = (-1000..1000).map { it / 250.0f } +val function = { x: Float -> sin(2 * x) * cos(x / 2 - 3.0) } +val yActual = xs.map(function) +val yLow = yActual.map { it - 0.25 } +val yHigh = yActual.map { it + 0.25 } + +plot { + ribbon { + x(xs) + yMin(yLow) + yMax(yHigh) + fillColor = Color.LIGHT_BLUE + } +} +``` + + + +![Functional Area Plot](ribbon_function_plot.svg) { border-effect="rounded" } + + + + GitHub Notebook + Datalore Notebook + + diff --git a/docs/topics/samples/ribbon/Regression-Confidence-Band.md b/docs/topics/samples/ribbon/Regression-Confidence-Band.md new file mode 100644 index 00000000..91d0b943 --- /dev/null +++ b/docs/topics/samples/ribbon/Regression-Confidence-Band.md @@ -0,0 +1,59 @@ +# Regression Confidence Band + + +Explore the 'Regression Confidence Band' plot in Kotlin using Kandy to see how line smoothing techniques can be enhanced with ribbon plot. + + + +'Regression Confidence Band' in Kotlin with Kandy: A seamless blend of data smoothing and ribbon plotting, ideal for portraying subtle data patterns in a visually appealing way. + + + +Dive into 'Regression Confidence Band' using Kotlin and Kandy, showcasing the elegance and clarity of smoothed curves extension with ribbon plot. + + + + + + + +```kotlin +val xs = listOf( + -3.0, -2.8, -2.7, -2.6, -2.6, -2.5, -2.2, -3.1, -1.5, + -0.2, 2.0, 1.2, 2.6, 2.1, 0.1, 1.2, 1.7, 0.0, 2.8, + 2.5, 0.2, 1.3, 2.5 +) +val ys = listOf( + -1.4, -1.2, -1.4, -1.3, -1.2, -1.1, 1.5, 2.4, 1.1, -0.9, + 3.5, 1.6, -0.7, 1.2, 0.1, 3.4, 2.8, 4.2, 1.16, 4.1, 2.2, + 1.4, 5.1 +) + +plot { + statSmooth(xs, ys) { + line { + x(Stat.x) + y(Stat.y) + width = 2.0 + color = Color.BLUE + } + ribbon { + x(Stat.x) + yMin(Stat.yMin) + yMax(Stat.yMax) + borderLine.width = 0.0 + } + } +} +``` + + + +![Smoothed Area](regression_confidence_band.svg) { border-effect="rounded" } + + + + GitHub Notebook + Datalore Notebook + + diff --git a/docs/topics/samples/ribbon/Ribbon-Settings.md b/docs/topics/samples/ribbon/Ribbon-Settings.md new file mode 100644 index 00000000..666ed8df --- /dev/null +++ b/docs/topics/samples/ribbon/Ribbon-Settings.md @@ -0,0 +1,86 @@ +# Ribbon Settings + + +Learn to customize ribbon graphs in Kotlin using the Kandy library with the 'Ribbon Settings' example. +This demonstration includes altering ribbon styles and colors for a dataset of minimal and maximal cost over years. + + + +'Ribbon Settings' Example: A Kotlin demonstration with Kandy to customize ribbon graphs, featuring dashed ribbons and color adjustments. + + + +Dive into 'Ribbon Settings' for insights on customizing ribbon graphs in Kotlin with Kandy, showcasing a visualization of years cost changes data. + + + + + + + + +```kotlin +val year by columnOf("2019", "2020", "2021", "2022", "2023") +val minCost by columnOf(56.5, 59.9, 60.8, 78.9, 75.5) +val maxCost by columnOf(58.1, 69.3, 66.4, 108.3, 92.2) +val df = dataFrameOf(year, minCost, maxCost) + +df.plot { + ribbon { + x(year) + y { + axis.name = "cost" + scale = continuous(55.0..110.0) + } + yMin(minCost) + yMax(maxCost) + fillColor = Color.hex(0x3f21e6) + alpha = 0.65 + borderLine { + color = Color.RED + width = 0.8 + type = LineType.DASHED + } + } +} +``` + + + + +```kotlin +val year = listOf("2019", "2020", "2021", "2022", "2023") +val minCost = listOf(56.5, 59.9, 60.8, 78.9, 75.5) +val maxCost = listOf(58.1, 69.3, 66.4, 108.3, 92.2) + +plot { + ribbon { + x(year) + y { + axis.name = "cost" + scale = continuous(55.0..110.0) + } + yMin(minCost) + yMax(maxCost) + fillColor = Color.hex(0x3f21e6) + alpha = 0.65 + borderLine { + color = Color.RED + width = 0.8 + type = LineType.DASHED + } + } +} +``` + + + + +![Ribbon Settings](ribbon_settings.svg) { border-effect="rounded" } + + + + GitHub Notebook + Datalore Notebook + + diff --git a/docs/topics/samples/ribbon/Ribbon-With-Line.md b/docs/topics/samples/ribbon/Ribbon-With-Line.md new file mode 100644 index 00000000..7f65a5e1 --- /dev/null +++ b/docs/topics/samples/ribbon/Ribbon-With-Line.md @@ -0,0 +1,89 @@ +# Ribbon With Line + + +Discover 'Ribbon with Line' in Kotlin using Kandy, where ribbon plots are enhanced with mark line. +This example compares the minimal, middle and maximal price value over week. + + + +'Ribbon with Line' in Kotlin with Kandy: An innovative plot combining ribbon charts with line, providing a visual comparison of price value characteristics. + + + +Explore 'Ribbon with Line' in Kotlin using Kandy, a creative approach to show value interval with middle value. + + + + + + + + + +```kotlin +val day by columnOf("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun") +val low by columnOf(16345f, 18718f, 17541f, 17302f, 15991f, 18315f, 20189f) +val high by columnOf(18252f, 19912f, 19001f, 21540f, 18770f, 20945f, 23007f) +val mid by (low.values().zip(high.values()).map { (it.second + it.first) / 2 }).toColumn() +val df = dataFrameOf(day, low, mid, high) + +df.plot { + x(day) { axis.name = "day of week" } + y { + axis.name = "price" + scale = continuous(15000f..24000f) + } + line { + y(mid) + color = Color.GREEN + type = LineType.DOTTED + width = 2.0 + } + ribbon { + yMin(low) + yMax(high) + borderLine.color = Color.BLUE + } +} +``` + + + + +```kotlin +val day = listOf("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun") +val low = listOf(16345f, 18718f, 17541f, 17302f, 15991f, 18315f, 20189f) +val high = listOf(18252f, 19912f, 19001f, 21540f, 18770f, 20945f, 23007f) +val mid = low.zip(high).map { (it.second + it.first) / 2 } + +plot { + x(day) { axis.name = "day of week" } + y { + axis.name = "price" + scale = continuous(15000f..24000f) + } + line { + y(mid) + color = Color.GREEN + type = LineType.DOTTED + width = 2.0 + } + ribbon { + yMin(low) + yMax(high) + borderLine.color = Color.BLUE + } +} +``` + + + + +![Ribbon with Line](ribbon_with_line.svg) { border-effect="rounded" } + + + + GitHub Notebook + Datalore Notebook + + diff --git a/docs/topics/samples/ribbon/Several-Ribbons.md b/docs/topics/samples/ribbon/Several-Ribbons.md new file mode 100644 index 00000000..ac01f974 --- /dev/null +++ b/docs/topics/samples/ribbon/Several-Ribbons.md @@ -0,0 +1,102 @@ +# Several Ribbons + + +Explore 'Several Ribbons' in Kotlin using Kandy to see how multiple ribbon plots can be combined for comparative data analysis. +This example skillfully illustrates the overlaying of different currencies change data in a single chart for a comprehensive view. + + + +'Several Ribbons' in Kotlin with Kandy: A demonstration of layering multiple ribbon plots, ideal for juxtaposing varied data sets in an insightful and visually appealing manner. + + + +Dive into 'Several Ribbons' using Kotlin and Kandy, a sophisticated example of blending multiple ribbon plots, perfect for in-depth comparative data visualization. + + + + + + + + + +```kotlin +val times = listOf("00:00", "06:00", "12:00", "18:00", "24:00") +val btcMin = listOf(310, 225, 202, 278, 360) +val btcMax = listOf(334, 307, 243, 293, 388) +val ethMin = listOf(180, 205, 256, 300, 280) +val ethMax = listOf(210, 234, 299, 322, 331) + +val dataset = dataFrameOf( + "time" to times + times, + "min" to btcMin + ethMin, + "max" to btcMax + ethMax, + "currency" to List(5) { "btc" } + List(5) { "eth" } +) + +dataset.groupBy("currency").plot { + ribbon { + x("time") + y { + limits = 170..400 + axis.name = "price, tokens" + } + yMin("min") + yMax("max") + fillColor("currency") { + legend.breaksLabeled("btc" to "Bubble Tea\nCoin", "eth" to "E-Traders\nHedgehogs") + } + alpha = 0.6 + borderLine.width = 0.0 + } +} +``` + + + + +```kotlin +val times = listOf("00:00", "06:00", "12:00", "18:00", "24:00") +val btcMin = listOf(310, 225, 202, 278, 360) +val btcMax = listOf(334, 307, 243, 293, 388) +val ethMin = listOf(180, 205, 256, 300, 280) +val ethMax = listOf(210, 234, 299, 322, 331) + +val dataset = mapOf( + "time" to times + times, + "min" to btcMin + ethMin, + "max" to btcMax + ethMax, + "currency" to List(5) { "btc" } + List(5) { "eth" } +) + +dataset.plot { + groupBy("currency") { + ribbon { + x("time") + y { + limits = 170..400 + axis.name = "price, tokens" + } + yMin("min") + yMax("max") + fillColor("currency") { + legend.breaksLabeled("btc" to "Bubble Tea\nCoin", "eth" to "E-Traders\nHedgehogs") + } + alpha = 0.6 + borderLine.width = 0.0 + } + } +} +``` + + + + +![Several Ribbons](ribbon_grouped.svg) { border-effect="rounded" } + + + + GitHub Notebook + Datalore Notebook + + diff --git a/docs/topics/samples/ribbon/Simple-Ribbon.md b/docs/topics/samples/ribbon/Simple-Ribbon.md index 9d3b0437..4c6ffb9c 100644 --- a/docs/topics/samples/ribbon/Simple-Ribbon.md +++ b/docs/topics/samples/ribbon/Simple-Ribbon.md @@ -1,4 +1,4 @@ -# Simple Line +# Simple Ribbon Explore a simple ribbon plot creation with the 'Simple Ribbon' example using the Kandy library in Kotlin. @@ -13,9 +13,45 @@ Check out 'Simple Ribbon' for an easy demonstration of ribbon chart plotting wit - + - + + + + +```kotlin +val xs by columnOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0) +val mins by columnOf(0.2, 0.9, 0.55, 1.32, 2.2, 1.5) +val maxs by columnOf(0.7, 1.4, 1.1, 2.1, 2.6, 2.2) +val df = dataFrameOf(xs, mins, maxs) + +df.plot { + ribbon { + x(xs) + yMin(mins) + yMax(maxs) + } +} +``` + + + + +```kotlin +val xs = listOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0) +val mins = listOf(0.2, 0.9, 0.55, 1.32, 2.2, 1.5) +val maxs = listOf(0.7, 1.4, 1.1, 2.1, 2.6, 2.2) + +plot { + ribbon { + x(xs) + yMin(mins) + yMax(maxs) + } +} +``` + + ![Simple Ribbon](ribbon_simple.svg) { border-effect="rounded" } @@ -23,6 +59,6 @@ Check out 'Simple Ribbon' for an easy demonstration of ribbon chart plotting wit GitHub Notebook - Datalore Notebook + Datalore Notebook diff --git a/examples/README.md b/examples/README.md index 6b943cdf..063b8f6d 100644 --- a/examples/README.md +++ b/examples/README.md @@ -440,6 +440,51 @@ The following is an example of using the `kandy-echarts` library in an IntelliJ +### Ribbon + + + + + + + + + + + + +
    + + Simple Ribbon + Simple Ribbon + + + + Ribbon Settings + Ribbon Settings + + + + Ribbon with Line + Ribbon with Line + +
    + + Several Ribbons + Several Ribbons + + + + Function Ribbon Graph + Function Ribbon Graph + + + + Regression Confidence Band + Regression Confidence Band + +
    + ### Boxplot diff --git a/examples/notebooks/lets-plot/samples/ribbon/regression_confidence_band.ipynb b/examples/notebooks/lets-plot/samples/ribbon/regression_confidence_band.ipynb index abe8d71b..b8494688 100644 --- a/examples/notebooks/lets-plot/samples/ribbon/regression_confidence_band.ipynb +++ b/examples/notebooks/lets-plot/samples/ribbon/regression_confidence_band.ipynb @@ -19,8 +19,16 @@ "cell_type": "code", "outputs": [], "source": [ - "val xs = listOf(-3.0, -2.8, -2.7, -2.6, -2.6, -2.5, -2.2, -3.1, -1.5, -0.2, 2.0, 1.2, 2.6, 2.1, 0.1, 1.2, 1.7, 0.0, 2.8, 2.5, 0.2, 1.3, 2.5)\n", - "val ys = listOf(-1.4, -1.2, -1.4, -1.3, -1.2, -1.1, 1.5, 2.4, 1.1, -0.9, 3.5, 1.6, -0.7, 1.2, 0.1, 3.4, 2.8, 4.2, 1.16, 4.1, 2.2, 1.4, 5.1)" + "val xs = listOf(\n", + " -3.0, -2.8, -2.7, -2.6, -2.6, -2.5, -2.2, -3.1, -1.5, \n", + " -0.2, 2.0, 1.2, 2.6, 2.1, 0.1, 1.2, 1.7, 0.0, 2.8, \n", + " 2.5, 0.2, 1.3, 2.5\n", + ")\n", + "val ys = listOf(\n", + " -1.4, -1.2, -1.4, -1.3, -1.2, -1.1, 1.5, 2.4, 1.1, \n", + " -0.9, 3.5, 1.6, -0.7, 1.2, 0.1, 3.4, 2.8, 4.2, 1.16, \n", + " 4.1, 2.2, 1.4, 5.1\n", + ")" ], "metadata": { "collapsed": false, diff --git a/examples/notebooks/lets-plot/samples/ribbon/ribbon_with_line.ipynb b/examples/notebooks/lets-plot/samples/ribbon/ribbon_with_line.ipynb index 5ce1aba2..298140df 100644 --- a/examples/notebooks/lets-plot/samples/ribbon/ribbon_with_line.ipynb +++ b/examples/notebooks/lets-plot/samples/ribbon/ribbon_with_line.ipynb @@ -6,8 +6,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2023-12-07T10:35:11.296270Z", - "start_time": "2023-12-07T10:34:55.595613Z" + "end_time": "2023-12-12T10:16:35.684163Z", + "start_time": "2023-12-12T10:16:25.915869Z" } }, "outputs": [], @@ -27,11 +27,11 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-12-07T11:14:47.975717Z", - "start_time": "2023-12-07T11:14:47.823465Z" + "end_time": "2023-12-12T10:16:36.321957Z", + "start_time": "2023-12-12T10:16:35.684928Z" } }, - "execution_count": 10 + "execution_count": 2 }, { "cell_type": "code", @@ -45,7 +45,7 @@ " <script type="text/javascript" data-lets-plot-script="library" src="https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.0.1/js-package/distr/lets-plot.min.js"></script>\n", " </head>\n", " <body>\n", - " <div id="Q3S4jY"></div>\n", + " <div id="7LHmFO"></div>\n", " <script type="text/javascript" data-lets-plot-script="plot">\n", " var plotSpec={\n", ""mapping":{\n", @@ -102,12 +102,12 @@ "}\n", "}]\n", "};\n", - " var plotContainer = document.getElementById("Q3S4jY");\n", + " var plotContainer = document.getElementById("7LHmFO");\n", " LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n", " </script>\n", " </body>\n", "</html>\"> \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -410,9 +410,9 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -422,9 +422,9 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -456,10 +456,10 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", "\n", - " " + " " ], "application/plot+json": { "output_type": "lets_plot_spec", @@ -565,7 +565,7 @@ }, "metadata": {}, "output_type": "execute_result", - "execution_count": 12 + "execution_count": 3 } ], "source": [ @@ -591,11 +591,11 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-12-07T12:05:48.495950Z", - "start_time": "2023-12-07T12:05:48.159072Z" + "end_time": "2023-12-12T10:16:38.198914Z", + "start_time": "2023-12-12T10:16:36.323726Z" } }, - "execution_count": 12 + "execution_count": 3 } ], "metadata": { diff --git a/kandy-lets-plot/build.gradle.kts b/kandy-lets-plot/build.gradle.kts index 281147c2..05dbf0c1 100644 --- a/kandy-lets-plot/build.gradle.kts +++ b/kandy-lets-plot/build.gradle.kts @@ -56,6 +56,7 @@ korro { include("docs/topics/samples/bars/*.md") include("docs/topics/samples/points/*.md") include("docs/topics/samples/errorBars/*.md") + include("docs/topics/samples/ribbon/*.md") include("docs/topics/samples/boxplot/*.md") include("docs/topics/samples/tiles/*.md") include("docs/topics/samples/histogram/*.md") diff --git a/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt b/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt index 7457bc4b..4cf0cc04 100644 --- a/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt +++ b/kandy-lets-plot/src/test/kotlin/org/jetbrains/kotlinx/kandy/letsplot/samples/ribbon.kt @@ -269,6 +269,7 @@ class Ribbon : SampleHelper("ribbon") { @Test fun regression_confidence_band() { + // SampleStart val xs = listOf( -3.0, -2.8, -2.7, -2.6, -2.6, -2.5, -2.2, -3.1, -1.5, -0.2, 2.0, 1.2, 2.6, 2.1, 0.1, 1.2, 1.7, 0.0, 2.8, From 69373db0b1c65a3376021dd76f4e9225a8407616 Mon Sep 17 00:00:00 2001 From: Andrei Date: Thu, 14 Dec 2023 15:04:00 +0400 Subject: [PATCH 5/6] add ribbon ref to welcome page --- docs/topics/Welcome.topic | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/topics/Welcome.topic b/docs/topics/Welcome.topic index 3859b2d1..525bf1dc 100644 --- a/docs/topics/Welcome.topic +++ b/docs/topics/Welcome.topic @@ -41,6 +41,7 @@ + From 3c6381f17e5d6e31334e9185004701bba69e3a81 Mon Sep 17 00:00:00 2001 From: Andrei Date: Thu, 14 Dec 2023 16:55:14 +0400 Subject: [PATCH 6/6] fix ribbon summary --- docs/topics/samples/Ribbon.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/docs/topics/samples/Ribbon.md b/docs/topics/samples/Ribbon.md index 780cd7ab..d7dc1862 100644 --- a/docs/topics/samples/Ribbon.md +++ b/docs/topics/samples/Ribbon.md @@ -1,3 +1,15 @@ # Ribbon + +Ribbon plot examples in the Kandy Kotlin library + + + +Ribbon Examples + + + +Ribbon Examples + + \ No newline at end of file