{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Formatting labels on plots.\n",
"\n",
"In Lets-Plot you can apply a formatting to:\n",
"\n",
"- axis break values.\n",
"- labels displayed by `geomText()`.\n",
"- tooltip text.\n",
"- facet labels.\n",
"\n",
"Using format string you can format values of numeric and date-time types.\n",
"\n",
"In addition, you can use a *string template*.\n",
"\n",
"In *string template* the value's format string is surrounded by curly braces: `\"... {.2f} ...\"`.\n",
"\n",
"An empty placeholder `{}` is also allowed. In this case a default string representation will be shown. This is also applicable to categorical values.\n",
"\n",
"To learn more about formatting templates see: [Formatting](https://lets-plot.org/kotlin/formats.html)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
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" --header-text-color: #474747;\n",
" --text-color: #848484;\n",
" --text-color-dark: #000;\n",
" --text-color-medium: #737373;\n",
" --text-color-pale: #b3b3b3;\n",
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" --link-color-pale: #296eaa;\n",
" --link-hover: #1a466c;\n",
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"\n",
":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
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" --link-color-pale: #97e1fb;\n",
" --link-hover: #00688e;\n",
"}\n",
"\n",
"p.dataframe_description {\n",
" color: var(--text-color-dark);\n",
"}\n",
"\n",
"table.dataframe {\n",
" font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
" font-size: 12px;\n",
" background-color: var(--background);\n",
" color: var(--text-color-dark);\n",
" border: none;\n",
" border-collapse: collapse;\n",
"}\n",
"\n",
"table.dataframe th, td {\n",
" padding: 6px;\n",
" border: 1px solid transparent;\n",
" text-align: left;\n",
"}\n",
"\n",
"table.dataframe th {\n",
" background-color: var(--background);\n",
" color: var(--header-text-color);\n",
"}\n",
"\n",
"table.dataframe td {\n",
" vertical-align: top;\n",
"}\n",
"\n",
"table.dataframe th.bottomBorder {\n",
" border-bottom-color: var(--bold-border-color);\n",
"}\n",
"\n",
"table.dataframe tbody > tr:nth-child(odd) {\n",
" background: var(--background-odd);\n",
"}\n",
"\n",
"table.dataframe tbody > tr:nth-child(even) {\n",
" background: var(--background);\n",
"}\n",
"\n",
"table.dataframe tbody > tr:hover {\n",
" background: var(--background-hover);\n",
"}\n",
"\n",
"table.dataframe a {\n",
" cursor: pointer;\n",
" color: var(--link-color);\n",
" text-decoration: none;\n",
"}\n",
"\n",
"table.dataframe tr:hover > td a {\n",
" color: var(--link-color-pale);\n",
"}\n",
"\n",
"table.dataframe a:hover {\n",
" color: var(--link-hover);\n",
" text-decoration: underline;\n",
"}\n",
"\n",
"table.dataframe img {\n",
" max-width: fit-content;\n",
"}\n",
"\n",
"table.dataframe th.complex {\n",
" background-color: var(--background);\n",
" border: 1px solid var(--background);\n",
"}\n",
"\n",
"table.dataframe .leftBorder {\n",
" border-left-color: var(--inner-border-color);\n",
"}\n",
"\n",
"table.dataframe .rightBorder {\n",
" border-right-color: var(--inner-border-color);\n",
"}\n",
"\n",
"table.dataframe .rightAlign {\n",
" text-align: right;\n",
"}\n",
"\n",
"table.dataframe .expanderSvg {\n",
" width: 8px;\n",
" height: 8px;\n",
" margin-right: 3px;\n",
"}\n",
"\n",
"table.dataframe .expander {\n",
" display: flex;\n",
" align-items: center;\n",
"}\n",
"\n",
"/* formatting */\n",
"\n",
"table.dataframe .null {\n",
" color: var(--text-color-pale);\n",
"}\n",
"\n",
"table.dataframe .structural {\n",
" color: var(--text-color-medium);\n",
" font-weight: bold;\n",
"}\n",
"\n",
"table.dataframe .dataFrameCaption {\n",
" font-weight: bold;\n",
"}\n",
"\n",
"table.dataframe .numbers {\n",
" color: var(--text-color-dark);\n",
"}\n",
"\n",
"table.dataframe td:hover .formatted .structural, .null {\n",
" color: var(--text-color-dark);\n",
"}\n",
"\n",
"table.dataframe tr:hover .formatted .structural, .null {\n",
" color: var(--text-color-dark);\n",
"}\n",
"\n",
"\n",
" </style>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%useLatestDescriptors\n",
"%use lets-plot\n",
"%use dataframe"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Lets-Plot Kotlin API v.4.4.2. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.4.0.0."
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"LetsPlot.getInfo()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The US Unemployment Rates 2000-2016"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"var economics = DataFrame.readCSV(\"https://vincentarelbundock.github.io/Rdatasets/csv/ggplot2/economics.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/kotlindataframe+json": "{\"nrow\":5,\"ncol\":7,\"columns\":[\"untitled\",\"date\",\"pce\",\"pop\",\"psavert\",\"uempmed\",\"unemploy\"],\"kotlin_dataframe\":[{\"untitled\":1,\"date\":\"1967-07-01\",\"pce\":506.7,\"pop\":198712.0,\"psavert\":12.6,\"uempmed\":4.5,\"unemploy\":2944},{\"untitled\":2,\"date\":\"1967-08-01\",\"pce\":509.8,\"pop\":198911.0,\"psavert\":12.6,\"uempmed\":4.7,\"unemploy\":2945},{\"untitled\":3,\"date\":\"1967-09-01\",\"pce\":515.6,\"pop\":199113.0,\"psavert\":11.9,\"uempmed\":4.6,\"unemploy\":2958},{\"untitled\":4,\"date\":\"1967-10-01\",\"pce\":512.2,\"pop\":199311.0,\"psavert\":12.9,\"uempmed\":4.9,\"unemploy\":3143},{\"untitled\":5,\"date\":\"1967-11-01\",\"pce\":517.4,\"pop\":199498.0,\"psavert\":12.8,\"uempmed\":4.7,\"unemploy\":3066}]}",
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" <head>\n",
" <style type=\"text/css\">\n",
" :root {\n",
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" --header-text-color: #474747;\n",
" --text-color: #848484;\n",
" --text-color-dark: #000;\n",
" --text-color-medium: #737373;\n",
" --text-color-pale: #b3b3b3;\n",
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" --bold-border-color: #000;\n",
" --link-color: #296eaa;\n",
" --link-color-pale: #296eaa;\n",
" --link-hover: #1a466c;\n",
"}\n",
"\n",
":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
" --background: #303030;\n",
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" --header-text-color: #dddddd;\n",
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" --link-color-pale: #97e1fb;\n",
" --link-hover: #00688e;\n",
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"p.dataframe_description {\n",
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" border-bottom-color: var(--bold-border-color);\n",
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"\n",
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" background: var(--background-odd);\n",
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"\n",
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"\n",
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" color: var(--link-color);\n",
" text-decoration: none;\n",
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"\n",
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" color: var(--link-color-pale);\n",
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" text-decoration: underline;\n",
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"\n",
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"\n",
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" background-color: var(--background);\n",
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" border-left-color: var(--inner-border-color);\n",
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" display: flex;\n",
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"\n",
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"\n",
"table.dataframe .null {\n",
" color: var(--text-color-pale);\n",
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"\n",
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" color: var(--text-color-medium);\n",
" font-weight: bold;\n",
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"\n",
"table.dataframe .dataFrameCaption {\n",
" font-weight: bold;\n",
"}\n",
"\n",
"table.dataframe .numbers {\n",
" color: var(--text-color-dark);\n",
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"\n",
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" </head>\n",
" <body>\n",
" \n",
"<table class=\"dataframe\" id=\"df_-419430400\"></table>\n",
"\n",
"<p class=\"dataframe_description\">DataFrame: rowsCount = 5, columnsCount = 7</p>\n",
" </body>\n",
" <script>\n",
" \n",
"/*<!--*/\n",
"call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: \"<span title=\\\"untitled: Int\\\">untitled</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">5</span></span>\"] }, \n",
"{ name: \"<span title=\\\"date: kotlinx.datetime.LocalDate\\\">date</span>\", children: [], rightAlign: false, values: [\"1967-07-01\",\"1967-08-01\",\"1967-09-01\",\"1967-10-01\",\"1967-11-01\"] }, \n",
"{ name: \"<span title=\\\"pce: Double\\\">pce</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">506.7</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">509.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">515.6</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">512.2</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">517.4</span></span>\"] }, \n",
"{ name: \"<span title=\\\"pop: Double\\\">pop</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">198712.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">198911.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">199113.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">199311.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">199498.0</span></span>\"] }, \n",
"{ name: \"<span title=\\\"psavert: Double\\\">psavert</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">12.6</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">12.6</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">11.9</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">12.9</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">12.8</span></span>\"] }, \n",
"{ name: \"<span title=\\\"uempmed: Double\\\">uempmed</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.5</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.7</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.6</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.9</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.7</span></span>\"] }, \n",
"{ name: \"<span title=\\\"unemploy: Int\\\">unemploy</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2944</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2945</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2958</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3143</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3066</span></span>\"] }, \n",
"], id: -419430400, rootId: -419430400, totalRows: 5 } ) });\n",
"/*-->*/\n",
"\n",
"call_DataFrame(function() { DataFrame.renderTable(-419430400) });\n",
"\n",
"\n",
" </script>\n",
" </html>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"economics.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"import kotlinx.datetime.*\n",
"\n",
"fun LocalDate.toEpochMilliseconds(): Long {\n",
" return atStartOfDayIn((TimeZone.currentSystemDefault())).toEpochMilliseconds()\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"val startDate = LocalDate.parse(\"2000-01-01\")\n",
"economics = economics.filter { date.compareTo(startDate) >= 0 }.convert {date}.with {it.toEpochMilliseconds()}"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"val p = letsPlot(economics.toMap()){x=\"date\"; y=\"uempmed\"} + \n",
" geomLine() +\n",
" ylab(\"unemployment rate\") +\n",
" ggsize(900, 400)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Default plot (no formatting)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Apply formatting to X and Y axis labels.\n",
"\n",
"Use the `format` parameter in `scaleXxx()`.\n",
"\n",
"Note that the text in tooltips is now also formatted."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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" <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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"\"mapping\":{\n",
"\"x\":\"date\",\n",
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},
"execution_count": 8,
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"source": [
"p + scaleXDateTime(format=\"%b %Y\") + scaleYContinuous(format=\"{} %\")"
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Format axis labels for breaks specified manually\n"
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{
"cell_type": "code",
"execution_count": 9,
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"val breaks = listOf(\n",
" LocalDate.parse(\"2001-01-01\"), \n",
" LocalDate.parse(\"2016-01-01\")\n",
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"metadata": {},
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},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
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"},\n",
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"\"position\":\"identity\",\n",
"\"geom\":\"line\",\n",
"\"tooltips\":{\n",
"\"lines\":[\"Unemployment rate:|^y\"],\n",
"\"tooltip_min_width\":170,\n",
"\"tooltip_anchor\":\"top_center\"\n",
"},\n",
"\"data\":{\n",
"}\n",
"}]\n",
"};\n",
" var plotContainer = document.getElementById(\"TIYNJg\");\n",
" window.letsPlotCall(function() {{\n",
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"letsPlot(economics.toMap()){x=\"date\"; y=\"uempmed\"} + \n",
" geomLine(tooltips=layerTooltips()\n",
" .line(\"Unemployment rate:|^y\")\n",
" .anchor(\"top_center\")\n",
" .minWidth(170)) + \n",
" scaleXDateTime(format=\"%b %Y\") +\n",
" scaleYContinuous(format=\"{} %\") +\n",
" ylab(\"unemployment rate\") +\n",
" ggsize(900, 400)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Format value shown in tooltip."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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"\"uempmed\":[5.8,6.1,6.0,6.1,5.8,5.7,6.0,6.3,5.2,6.1,6.1,6.0,5.8,6.1,6.6,5.9,6.3,6.0,6.8,6.9,7.2,7.3,7.7,8.2,8.4,8.3,8.4,8.9,9.5,11.0,8.9,9.0,9.5,9.6,9.3,9.6,9.6,9.5,9.7,10.2,9.9,11.5,10.3,10.1,10.2,10.4,10.3,10.4,10.6,10.2,10.2,9.5,9.9,11.0,8.9,9.2,9.6,9.5,9.7,9.5,9.4,9.2,9.3,9.0,9.1,9.0,8.8,9.2,8.4,8.6,8.5,8.7,8.6,9.1,8.7,8.4,8.5,7.3,8.0,8.4,8.0,7.9,8.3,7.5,8.3,8.5,9.1,8.6,8.2,7.7,8.7,8.8,8.7,8.4,8.6,8.4,9.0,8.7,8.7,9.4,7.9,9.0,9.7,9.7,10.2,10.4,9.8,10.5,10.7,11.7,12.3,13.1,14.2,17.2,16.0,16.3,17.8,18.9,19.8,20.1,20.0,19.9,20.4,22.1,22.3,25.2,22.3,21.0,20.3,21.2,21.0,21.9,21.5,21.1,21.5,20.9,21.6,22.4,22.0,22.4,22.0,20.6,20.8,20.5,20.8,19.7,19.2,19.1,19.9,20.4,17.5,18.4,18.8,19.9,18.6,17.7,15.8,17.2,17.6,17.1,17.1,17.0,16.2,16.5,16.5,16.3,17.1,17.3,15.4,15.9,15.8,15.7,14.6,13.8,13.1,12.9,13.4,13.6,13.0,12.9,13.2,12.9,12.0,11.5]\n",
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" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"letsPlot(economics.toMap()){x=\"date\"; y=\"uempmed\"} +\n",
" geomLine(tooltips=layerTooltips()\n",
" .line(\"@uempmed % in @date\")\n",
" .format(\"date\", \"%B %Y\")\n",
" .anchor(\"top_left\")\n",
" .minWidth(170)) +\n",
" scaleXDateTime() +\n",
" scaleYContinuous() +\n",
" ylab(\"unemployment rate\") +\n",
" ggsize(900, 400)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Add the unemployment rate mean.\n",
"\n",
"The `geomText` label is formatted using the `labelFormat` parameter."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"\"uempmed\":[5.8,6.1,6.0,6.1,5.8,5.7,6.0,6.3,5.2,6.1,6.1,6.0,5.8,6.1,6.6,5.9,6.3,6.0,6.8,6.9,7.2,7.3,7.7,8.2,8.4,8.3,8.4,8.9,9.5,11.0,8.9,9.0,9.5,9.6,9.3,9.6,9.6,9.5,9.7,10.2,9.9,11.5,10.3,10.1,10.2,10.4,10.3,10.4,10.6,10.2,10.2,9.5,9.9,11.0,8.9,9.2,9.6,9.5,9.7,9.5,9.4,9.2,9.3,9.0,9.1,9.0,8.8,9.2,8.4,8.6,8.5,8.7,8.6,9.1,8.7,8.4,8.5,7.3,8.0,8.4,8.0,7.9,8.3,7.5,8.3,8.5,9.1,8.6,8.2,7.7,8.7,8.8,8.7,8.4,8.6,8.4,9.0,8.7,8.7,9.4,7.9,9.0,9.7,9.7,10.2,10.4,9.8,10.5,10.7,11.7,12.3,13.1,14.2,17.2,16.0,16.3,17.8,18.9,19.8,20.1,20.0,19.9,20.4,22.1,22.3,25.2,22.3,21.0,20.3,21.2,21.0,21.9,21.5,21.1,21.5,20.9,21.6,22.4,22.0,22.4,22.0,20.6,20.8,20.5,20.8,19.7,19.2,19.1,19.9,20.4,17.5,18.4,18.8,19.9,18.6,17.7,15.8,17.2,17.6,17.1,17.1,17.0,16.2,16.5,16.5,16.3,17.1,17.3,15.4,15.9,15.8,15.7,14.6,13.8,13.1,12.9,13.4,13.6,13.0,12.9,13.2,12.9,12.0,11.5]\n",
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"};\n",
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" window.letsPlotCall(function() {{\n",
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
" }});\n",
" })(); \n",
" </script>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val unemploymentMean = economics.uempmed.mean()\n",
"\n",
"\n",
"letsPlot(economics.toMap()){x=\"date\"; y=\"uempmed\"} + \n",
" geomLine(tooltips=layerTooltips()\n",
" .line(\"Unemployment rate:|^y %\")\n",
" .anchor(\"top_center\")\n",
" .minWidth(170)) + \n",
" geomHLine(yintercept=unemploymentMean, color=\"red\", linetype=\"dashed\", tooltips=tooltipsNone) +\n",
" geomText(label=unemploymentMean.toString(), \n",
" labelFormat=\"{.2f} %\",\n",
" x=startDate.toEpochMilliseconds(), y=unemploymentMean!! + 0.5, \n",
" color=\"red\") +\n",
" scaleXDateTime(format=\"%b %Y\") + \n",
" scaleYContinuous(format=\"{} %\") + \n",
" ylab(\"unemployment rate\") +\n",
" ggtitle(\"The US Unemployment Rates 2000-2016.\") +\n",
" ggsize(900, 400)"
]
}
],
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"kernelspec": {
"display_name": "Kotlin",
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