DataFrame: rowsCount = 5, columnsCount = 12
\n", " \n", " \n", " " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "var mpg_df = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/docs/examples/data/mpg.csv\")\n", "mpg_df.head()\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "val mpg_dat = mpg_df.toMap()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "val p = letsPlot(mpg_dat) + geomPoint { x=\"displ\"; y=\"hwy\"; color=\"drv\" } \n", "p" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + ggtitle(\"The plot title using 'ggtitle()'\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p + labs(title = \"The plot title using 'labs()'\")" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Add subtitle using ggtitle()\n", "\n", "p + ggtitle(\"The plot title\", subtitle = \"The plot subtitle\")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Add subtitle using labs()\n", "\n", "p + labs(title = \"The plot title\", subtitle = \"The plot subtitle\")" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Add caption\n", "\n", "val p2 = p + labs(title = \"The plot title\", subtitle = \"The plot subtitle\", caption = \"The plot caption\")\n", "p2" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Add color for titles\n", "\n", "// 'title' applies to plot's title, subtitle, caption\n", "p2 + theme(title = elementText(color=\"blue\"))" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// 'plot_title' will also apply to the subtitle\n", "\n", "p2 + theme(plotTitle = elementText(color=\"blue\"), \n", " text = elementText(face=\"italic\"), \n", " title = elementText(face=\"italic\"),\n", " plotSubtitle = elementText(face=\"italic\"),\n", " plotCaption = elementText(face=\"italic\"),\n", " axisTitle = elementText(face=\"italic\"),\n", " legendTitle = elementText(face=\"italic\"))\n", "\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Set own colors\n", "\n", "p2 + theme(\n", " plotTitle = elementText(color=\"blue\"), \n", " plotSubtitle = elementText(color=\"red\"),\n", " plotCaption = elementText(color=\"dark_green\"))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Multiple lines - using `\\n`\n", "\n", "p + labs(\n", " title = \"The plot title:\\nFuel efficiency for most popular models of car\", \n", " subtitle = \"The plot subtitle:\\nPoints are colored by the type of drive train\",\n", " caption = \"The plot caption:\\nmpg dataset\"\n", " ) + theme(plotSubtitle = elementText(color=\"gray\"), plotCaption = elementText(color=\"light_gray\"))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Legend title\n", "\n", "val p1 = letsPlot(mpg_dat) + geomPoint(size=4) { x=\"displ\"; y=\"hwy\"; color=\"cty\"; shape=\"drv\" } \n", "p1 + labs(color=\"City mileage\", shape=\"Drive type\")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Change legend position\n", "\n", "p1 + labs(color=\"City mileage\", shape=\"Drive type\") + theme().legendPositionBottom()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "// Use multiple lines in legend titles\n", "\n", "p1 + labs(color=\"City mileage\\n(mpg)\", \n", " shape=\"Drive type\\n(front/4/rear wheel)\") " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p1 + theme().legendPositionBottom() +\n", " labs(color=\"City mileage\\n(mpg)\", shape=\"Drive type\\n(front/4/rear wheel)\") " ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p1 + theme().legendPositionBottom() +\n", " labs(color=\"City mileage\\n(mpg)\", shape=\"Drive type\\n(front/4/rear wheel)\") +\n", " scaleShape(guide=guideLegend(nrow=3))" ] } ], "metadata": { "kernelspec": { "display_name": "Kotlin", "language": "kotlin", "name": "kotlin" }, "language_info": { "codemirror_mode": "text/x-kotlin", "file_extension": ".kt", "mimetype": "text/x-kotlin", "name": "kotlin", "nbconvert_exporter": "", "pygments_lexer": "kotlin", "version": "1.8.20" } }, "nbformat": 4, "nbformat_minor": 4 }