{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Heap Maps\n", "\n", "A heat map is a two-dimensional representation of data in which values are represented by colors. A simple heat map provides an immediate visual summary of information." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "data = [[533.08714795974, 484.92105712087596, 451.63070008303896, 894.4451947886148, 335.44965728686225, 640.9424094527392, 776.2709495045433, 621.8819257981404, 793.2905673902735, 328.97078791524234, 139.26962328268513, 800.9314566259062, 629.0795214099808, 418.90954534196544, 513.8036215424278, 742.9834968485734, 542.9393528649774, 671.4256827205828, 507.1129322933082, 258.8238039352692, 581.0354187924672, 190.1830169180297, 480.461111816312, 621.621218137835, 650.6023460248642, 635.7577683708486, 605.5201537254429, 364.55368485516846, 554.807212844458, 526.1823154945637], [224.1432052432479, 343.26660237811336, 228.29828973027486, 550.3809606942758, 340.16890889700994, 214.05332637480836, 461.3159325548031, 471.2546571575069, 503.071081294441, 757.4281483575993, 493.82140462579406, 579.4302306011925, 459.76905409338497, 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9, 2, 4, 13, 26, 58, 61, 59, 53, 54, 64, 55, 52, 53, 18, 3, 9, 12, 2, 8], [4, 2, 9, 8, 2, 23, 2, 4, 14, 31, 48, 46, 59, 66, 54, 56, 67, 54, 23, 14, 6, 8, 7, 9, 8], [5, 2, 23, 2, 9, 9, 9, 4, 8, 8, 6, 14, 12, 9, 14, 9, 21, 22, 34, 12, 9, 23, 9, 11, 13], [6, 7, 23, 23, 9, 4, 7, 4, 23, 11, 32, 2, 2, 5, 34, 9, 4, 12, 15, 19, 45, 9, 19, 9, 4]]\n", "OutputCell.HIDDEN" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b82622b7-a0f5-406a-950b-033b2cd92f3b", "version_major": 2, "version_minor": 0 }, "method": "display_data" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new HeatMap(data: data)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c697ecdf-67a2-46f7-9bdd-541c76588618", "version_major": 2, "version_minor": 0 }, "method": "display_data" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new HeatMap(title: \"Heatmap Second Example\",\n", " xLabel:\"X Label\",\n", " yLabel:\"Y Label\",\n", " data: data,\n", " legendPosition: LegendPosition.TOP)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "32f0da62-efc4-4666-b10e-13e2e0fb1f3a", "version_major": 2, "version_minor": 0 }, "method": "display_data" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new HeatMap(title: \"Green Yellow White\",\n", " data: data2,\n", " showLegend: false,\n", " color: GradientColor.GREEN_YELLOW_WHITE)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9b731781-f054-4cb1-b47d-2021d849b296", "version_major": 2, "version_minor": 0 }, "method": "display_data" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def colors = [Color.black, Color.yellow, Color.red]\n", "new HeatMap(title: \"Custom Gradient Example\",\n", " data: data3,\n", " color: new GradientColor(colors))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "242c2641-2c94-46df-b681-3c0158434d41", "version_major": 2, "version_minor": 0 }, "method": "display_data" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "new HeatMap(initWidth: 900,\n", " initHeight: 300,\n", " title: \"Custom size, no tooltips\",\n", " data: data3,\n", " useToolTip: false,\n", " showLegend: false,\n", " color: GradientColor.WHITE_BLUE)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Groovy", "language": "groovy", "name": "groovy" }, "language_info": { "codemirror_mode": "groovy", "file_extension": ".groovy", "mimetype": 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