{
"cells": [
{
"cell_type": "markdown",
"id": "d1f05540",
"metadata": {},
"source": [
"# geomPie()"
]
},
{
"cell_type": "markdown",
"id": "34f2ff62",
"metadata": {},
"source": [
"A pie chart is a circular statistical graphic, which is divided into slices to illustrate numerical proportion."
]
},
{
"cell_type": "markdown",
"id": "36044c48",
"metadata": {},
"source": [
"1. [Default presentation](#1.-Default-presentation)\n",
"\n",
" 1.1. [Basic pie chart](#1.1.-Basic-pie-chart)\n",
" \n",
" 1.2. [Improve appearance](#1.2.-Improve-appearance) \n",
" \n",
" 1.3. [Adding labels to pie sectors](#1.3.-Adding-labels-to-pie-sectors) \n",
" \n",
" 1.4. [Use \"count2d\" statistical transformation](#1.4.-Use-\"count2d\"-statistical-transformation)\n",
" \n",
" \n",
"2. [Pie size depending on data](#2.-Pie-size-depending-on-data)\n",
"\n",
" \n",
"3. [Explode](#3.-Explode)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "faa30d88",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:44.423420Z",
"iopub.status.busy": "2025-12-03T16:01:44.422046Z",
"iopub.status.idle": "2025-12-03T16:01:46.987117Z",
"shell.execute_reply": "2025-12-03T16:01:46.986581Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%useLatestDescriptors\n",
"%use dataframe\n",
"%use lets-plot"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "8786a3e7",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:46.988623Z",
"iopub.status.busy": "2025-12-03T16:01:46.988373Z",
"iopub.status.idle": "2025-12-03T16:01:47.018804Z",
"shell.execute_reply": "2025-12-03T16:01:47.018881Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"Lets-Plot Kotlin API v.4.12.0. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.4.8.1.\n",
"Outputs: Web (HTML+JS), Kotlin Notebook (Swing), Static SVG (hidden)"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"LetsPlot.getInfo()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "444122dd",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.021425Z",
"iopub.status.busy": "2025-12-03T16:01:47.020737Z",
"iopub.status.idle": "2025-12-03T16:01:47.084907Z",
"shell.execute_reply": "2025-12-03T16:01:47.084466Z"
}
},
"outputs": [],
"source": [
"val blankTheme = theme(line=elementBlank(), axis=elementBlank())"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "42063da2",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.087436Z",
"iopub.status.busy": "2025-12-03T16:01:47.086864Z",
"iopub.status.idle": "2025-12-03T16:01:47.213629Z",
"shell.execute_reply": "2025-12-03T16:01:47.213343Z"
}
},
"outputs": [],
"source": [
"val (w, h) = 400 to 250\n",
"\n",
"val data = mapOf(\n",
" \"name\" to listOf('a', 'b', 'c', 'd', 'b'),\n",
" \"value\" to listOf(40, 90, 10, 50, 20)\n",
")\n",
"\n",
"val p = letsPlot(data) + ggsize(w,h)"
]
},
{
"cell_type": "markdown",
"id": "d3496545",
"metadata": {},
"source": [
"## 1. Default presentation"
]
},
{
"cell_type": "markdown",
"id": "e670679c",
"metadata": {},
"source": [
"### 1.1. Basic pie chart"
]
},
{
"cell_type": "markdown",
"id": "ae3a2237",
"metadata": {},
"source": [
"Use \"identity\" statistical transformation to leave the data unchanged."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "8e854954",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.215343Z",
"iopub.status.busy": "2025-12-03T16:01:47.215093Z",
"iopub.status.idle": "2025-12-03T16:01:47.505070Z",
"shell.execute_reply": "2025-12-03T16:01:47.504889Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"name": [
"a",
"b",
"c",
"d",
"b"
],
"value": [
40.0,
90.0,
10.0,
50.0,
20.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "value",
"type": "int"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"geom": "pie",
"mapping": {
"fill": "name",
"slice": "value"
},
"position": "identity",
"stat": "identity"
}
],
"mapping": {},
"scales": []
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + geomPie(stat = Stat.identity) { slice = \"value\"; fill = \"name\" }"
]
},
{
"cell_type": "markdown",
"id": "a6468831",
"metadata": {},
"source": [
"### 1.2. Improve appearance"
]
},
{
"cell_type": "markdown",
"id": "9b23c4df",
"metadata": {},
"source": [
"- add stroke (`stroke` and `color`)\n",
"- make the pie bigger (`size`)\n",
"- add hole to draw donut-like chart (`hole`)\n",
"- use blank theme (remove axis and grid)\n",
"- use better colors"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f9fbaa2c",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.506310Z",
"iopub.status.busy": "2025-12-03T16:01:47.506081Z",
"iopub.status.idle": "2025-12-03T16:01:47.557405Z",
"shell.execute_reply": "2025-12-03T16:01:47.557501Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"name": [
"a",
"b",
"c",
"d",
"b"
],
"value": [
40.0,
90.0,
10.0,
50.0,
20.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "value",
"type": "int"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"color": "white",
"geom": "pie",
"hole": 0.5,
"mapping": {
"fill": "name",
"slice": "value"
},
"position": "identity",
"size": 20.0,
"stat": "identity",
"stroke": 1.0
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p +\n",
" geomPie(stat = Stat.identity,\n",
" size = 20, stroke = 1, color = \"white\", hole = 0.5) { slice = \"value\"; fill = \"name\" } +\n",
" blankTheme + \n",
" scaleFillBrewer(palette = \"Set1\")"
]
},
{
"cell_type": "markdown",
"id": "a760b099",
"metadata": {},
"source": [
"### 1.3. Adding labels to pie sectors"
]
},
{
"cell_type": "markdown",
"id": "46617ca9",
"metadata": {},
"source": [
"Let's label the sectors with their names - configure annotations via `layerLabels()` function: "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "1ffd0e96",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.558593Z",
"iopub.status.busy": "2025-12-03T16:01:47.558454Z",
"iopub.status.idle": "2025-12-03T16:01:47.629274Z",
"shell.execute_reply": "2025-12-03T16:01:47.629395Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"name": [
"a",
"b",
"c",
"d",
"b"
],
"value": [
40.0,
90.0,
10.0,
50.0,
20.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "value",
"type": "int"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"color": "white",
"geom": "pie",
"hole": 0.5,
"labels": {
"annotation_size": 16,
"lines": [
"@name"
]
},
"mapping": {
"fill": "name",
"slice": "value"
},
"position": "identity",
"size": 20.0,
"stat": "identity",
"stroke": 1.0
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"legend_position": "none",
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + \n",
" geomPie(\n",
" stat = Stat.identity,\n",
" size = 20, stroke = 1, color = \"white\", hole = 0.5,\n",
" labels = layerLabels().line(\"@name\").size(16)\n",
" ) { slice = \"value\"; fill = \"name\" } +\n",
" blankTheme + \n",
" theme().legendPositionNone() +\n",
" scaleFillBrewer(palette = \"Set1\")"
]
},
{
"cell_type": "markdown",
"id": "df65d3f1",
"metadata": {},
"source": [
"### 1.4. Use \"count2d\" statistical transformation"
]
},
{
"cell_type": "markdown",
"id": "73a8987c",
"metadata": {},
"source": [
"`geomPie()` uses `count2d` stat by default. \n",
"It allows to make a slice sizes proportional to the number of cases in each group (or if the weight aesthetic is supplied, the sum of the weights). Also `count2d` provides variables for proportion ('..prop..') and proportion in percent ('..proppct..'). "
]
},
{
"cell_type": "markdown",
"id": "e9d823c8",
"metadata": {},
"source": [
"Using `layerTooltips()` prepare the information for tooltips by adding the variables provided by 'count2d':"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1d183b4d",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.631272Z",
"iopub.status.busy": "2025-12-03T16:01:47.630919Z",
"iopub.status.idle": "2025-12-03T16:01:47.661490Z",
"shell.execute_reply": "2025-12-03T16:01:47.661112Z"
}
},
"outputs": [],
"source": [
"val tooltipContent = layerTooltips()\n",
" .line(\"count|@{..count..} (@{..prop..})\")\n",
" .line(\"total|@{..sum..}\")\n",
" .format(\"..prop..\", \".0%\")\n",
" .format(\"..count..\", \".1f\")\n",
" .format(\"..sum..\", \".1f\")"
]
},
{
"cell_type": "markdown",
"id": "2bce5820",
"metadata": {},
"source": [
"Apply 'count2d' to get slices proportional to the number of cases."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "ab7010dc",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.663194Z",
"iopub.status.busy": "2025-12-03T16:01:47.662980Z",
"iopub.status.idle": "2025-12-03T16:01:47.732444Z",
"shell.execute_reply": "2025-12-03T16:01:47.732241Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"name": [
"a",
"b",
"c",
"d",
"b"
],
"value": [
40.0,
90.0,
10.0,
50.0,
20.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "value",
"type": "int"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"color": "white",
"geom": "pie",
"hole": 0.5,
"labels": {
"annotation_size": 16,
"lines": [
"@name"
]
},
"mapping": {
"fill": "name"
},
"position": "identity",
"size": 20.0,
"stat": "count2d",
"stroke": 1.0,
"tooltips": {
"formats": [
{
"field": "..prop..",
"format": ".0%"
},
{
"field": "..count..",
"format": ".1f"
},
{
"field": "..sum..",
"format": ".1f"
}
],
"lines": [
"count|@{..count..} (@{..prop..})",
"total|@{..sum..}"
]
}
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"legend_position": "none",
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p +\n",
" geomPie(\n",
" size = 20, stroke = 1, color = \"white\", hole = 0.5,\n",
" labels = layerLabels().line(\"@name\").size(16),\n",
" tooltips = tooltipContent\n",
" ) { fill = \"name\" } +\n",
" blankTheme + \n",
" theme().legendPositionNone() +\n",
" scaleFillBrewer(palette = \"Set1\")"
]
},
{
"cell_type": "markdown",
"id": "32d1cdc0",
"metadata": {},
"source": [
"Compute weighted sum instead of simple count with aesthetic `weight`."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "77f81cce",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.734284Z",
"iopub.status.busy": "2025-12-03T16:01:47.733724Z",
"iopub.status.idle": "2025-12-03T16:01:47.787673Z",
"shell.execute_reply": "2025-12-03T16:01:47.787751Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"name": [
"a",
"b",
"c",
"d",
"b"
],
"value": [
40.0,
90.0,
10.0,
50.0,
20.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "value",
"type": "int"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"color": "white",
"geom": "pie",
"hole": 0.5,
"labels": {
"annotation_size": 16,
"lines": [
"@name"
]
},
"mapping": {
"fill": "name",
"weight": "value"
},
"position": "identity",
"size": 20.0,
"stat": "count2d",
"stroke": 1.0,
"tooltips": {
"formats": [
{
"field": "..prop..",
"format": ".0%"
},
{
"field": "..count..",
"format": ".1f"
},
{
"field": "..sum..",
"format": ".1f"
}
],
"lines": [
"count|@{..count..} (@{..prop..})",
"total|@{..sum..}"
]
}
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"legend_position": "none",
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p +\n",
" geomPie(\n",
" size = 20, stroke = 1, color = \"white\", hole = 0.5,\n",
" labels = layerLabels().line(\"@name\").size(16),\n",
" tooltips = tooltipContent\n",
" ) { fill = \"name\"; weight = \"value\" } +\n",
" blankTheme + \n",
" theme().legendPositionNone() +\n",
" scaleFillBrewer(palette = \"Set1\") "
]
},
{
"cell_type": "markdown",
"id": "4772e96d",
"metadata": {},
"source": [
"Order sectors by count.\n",
"\n",
"The following ordering rule is used for the pie chart: the first slice goes to the left of 12 o'clock and others go clockwise."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "90a172ad",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.789361Z",
"iopub.status.busy": "2025-12-03T16:01:47.789067Z",
"iopub.status.idle": "2025-12-03T16:01:47.846179Z",
"shell.execute_reply": "2025-12-03T16:01:47.846050Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"name": [
"a",
"b",
"c",
"d",
"b"
],
"value": [
40.0,
90.0,
10.0,
50.0,
20.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "value",
"type": "int"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"color": "white",
"data_meta": {
"mapping_annotations": [
{
"aes": "fill",
"annotation": "as_discrete",
"parameters": {
"label": "name",
"order_by": "..count.."
}
}
]
},
"geom": "pie",
"hole": 0.5,
"labels": {
"annotation_size": 16,
"lines": [
"@name"
]
},
"mapping": {
"fill": "name",
"weight": "value"
},
"position": "identity",
"size": 20.0,
"stat": "count2d",
"stroke": 1.0,
"tooltips": {
"formats": [
{
"field": "..prop..",
"format": ".0%"
},
{
"field": "..count..",
"format": ".1f"
},
{
"field": "..sum..",
"format": ".1f"
}
],
"lines": [
"count|@{..count..} (@{..prop..})",
"total|@{..sum..}"
]
}
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"legend_position": "none",
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p +\n",
" geomPie(\n",
" size = 20, stroke = 1, color = \"white\", hole = 0.5,\n",
" labels = layerLabels().line(\"@name\").size(16),\n",
" tooltips = tooltipContent\n",
" ) { fill = asDiscrete(\"name\", orderBy = \"..count..\"); weight = \"value\" } +\n",
" blankTheme + \n",
" theme().legendPositionNone() +\n",
" scaleFillBrewer(palette = \"Set1\")"
]
},
{
"cell_type": "markdown",
"id": "2b506543",
"metadata": {},
"source": [
"## 2. Pie size depending on data"
]
},
{
"cell_type": "markdown",
"id": "40def630",
"metadata": {},
"source": [
"Make the size of the pie chart dependent on the data: map total count ('..sum..' variable) to the `size`.\n",
"\n",
"Note that it has its own special representation of the size in the legend."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "407aa42e",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.847309Z",
"iopub.status.busy": "2025-12-03T16:01:47.847106Z",
"iopub.status.idle": "2025-12-03T16:01:47.967684Z",
"shell.execute_reply": "2025-12-03T16:01:47.967815Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"n": [
"a",
"b",
"a",
"c",
"a",
"a",
"b",
"c",
"a",
"b"
],
"s": [
3.0,
1.0,
2.0,
1.0,
4.0,
1.0,
3.0,
3.0,
3.0,
1.0
],
"x": [
1.0,
1.0,
1.0,
1.0,
1.0,
1.5,
1.5,
2.0,
2.0,
2.0
],
"y": [
1.0,
1.0,
1.0,
1.0,
1.0,
2.0,
2.0,
1.5,
1.5,
1.5
]
},
"data_meta": {
"series_annotations": [
{
"column": "x",
"type": "int"
},
{
"column": "y",
"type": "int"
},
{
"column": "s",
"type": "int"
}
]
},
"kind": "plot",
"layers": [
{
"data_meta": {
"mapping_annotations": [
{
"aes": "fill",
"annotation": "as_discrete",
"parameters": {
"label": "n",
"order": -1,
"order_by": "..count.."
}
}
]
},
"geom": "pie",
"hole": 0.3,
"mapping": {
"fill": "n",
"size": "..sum..",
"weight": "s",
"x": "x",
"y": "y"
},
"position": "identity",
"stat": "count2d",
"tooltips": {
"formats": [
{
"field": "..prop..",
"format": ".0%"
},
{
"field": "..count..",
"format": ".1f"
},
{
"field": "..sum..",
"format": ".1f"
}
],
"lines": [
"count|@{..count..} (@{..prop..})",
"total|@{..sum..}"
]
}
}
],
"mapping": {},
"scales": [
{
"aesthetic": "x",
"limits": [
0.5,
2.5
]
},
{
"aesthetic": "y",
"limits": [
0.5,
2.5
]
}
]
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val data2 = mapOf(\n",
" \"x\" to listOf(1, 1, 1, 1, 1, 1.5, 1.5, 2, 2, 2),\n",
" \"y\" to listOf(1, 1, 1, 1, 1, 2, 2, 1.5, 1.5, 1.5),\n",
" \"s\" to listOf(3, 1, 2, 1, 4, 1, 3, 3, 3, 1),\n",
" \"n\" to listOf('a', 'b', 'a', 'c', 'a', 'a', 'b', 'c', 'a', 'b')\n",
")\n",
"\n",
"\n",
"letsPlot(data2) +\n",
" geomPie(hole = 0.3, tooltips = tooltipContent) { \n",
" x = \"x\"\n",
" y = \"y\"\n",
" fill = asDiscrete(\"n\", orderBy = \"..count..\", order = -1)\n",
" weight = \"s\"\n",
" size = \"..sum..\"\n",
" } +\n",
" xlim(0.5 to 2.5) + ylim(0.5 to 2.5)"
]
},
{
"cell_type": "markdown",
"id": "fa9e9195",
"metadata": {},
"source": [
"Mapping `fill` and `size` to the same variable:"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "fc4c8b13",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:47.969814Z",
"iopub.status.busy": "2025-12-03T16:01:47.969485Z",
"iopub.status.idle": "2025-12-03T16:01:48.023912Z",
"shell.execute_reply": "2025-12-03T16:01:48.024032Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"n": [
"a",
"b",
"c"
],
"s": [
1.0,
2.0,
3.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "n",
"type": "str"
},
{
"column": "s",
"type": "int"
}
]
},
"kind": "plot",
"layers": [
{
"geom": "pie",
"mapping": {
"fill": "n",
"size": "n",
"slice": "s"
},
"position": "identity",
"stat": "identity"
}
],
"mapping": {},
"scales": [],
"theme": {
"axis": {
"blank": true
},
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"letsPlot(data = mapOf(\"n\" to listOf(\"a\", \"b\", \"c\"), \"s\" to listOf(1, 2, 3))) + \n",
" geomPie(stat = Stat.identity) { fill = \"n\"; slice = \"s\"; size = \"n\" } +\n",
" blankTheme"
]
},
{
"cell_type": "markdown",
"id": "06bd6ffc",
"metadata": {},
"source": [
"## 3. Explode"
]
},
{
"cell_type": "markdown",
"id": "5f244752",
"metadata": {},
"source": [
"Use values to explode slices away from their center point, detaching it from the main pie."
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "56e5d9b3",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:48.025542Z",
"iopub.status.busy": "2025-12-03T16:01:48.025320Z",
"iopub.status.idle": "2025-12-03T16:01:48.098097Z",
"shell.execute_reply": "2025-12-03T16:01:48.098169Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"data": {
"count": [
1109.0,
696.0,
353.0,
192.0,
168.0,
86.0,
74.0,
65.0,
53.0
],
"explode": [
0.0,
0.0,
0.0,
0.1,
0.1,
0.2,
0.3,
0.4,
0.6
],
"name": [
"20-50 km",
"50-75 km",
"10-20 km",
"75-100 km",
"3-5 km",
"7-10 km",
"5-7 km",
">100 km",
"2-3 km"
]
},
"data_meta": {
"series_annotations": [
{
"column": "name",
"type": "str"
},
{
"column": "count",
"type": "int"
},
{
"column": "explode",
"type": "int"
}
]
},
"kind": "plot",
"layers": [
{
"color": "black",
"geom": "pie",
"mapping": {
"explode": "explode",
"fill": "name",
"slice": "count"
},
"position": "identity",
"size": 20.0,
"stat": "identity",
"stroke": 1.0
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"high": "light_green",
"low": "dark_blue",
"scale_mapper_kind": "color_gradient"
}
],
"theme": {
"axis": {
"blank": true
},
"line": {
"blank": true
}
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val length = mapOf(\n",
" \"name\" to listOf(\"20-50 km\", \"50-75 km\", \"10-20 km\", \"75-100 km\", \"3-5 km\", \"7-10 km\", \"5-7 km\", \">100 km\", \"2-3 km\"),\n",
" \"count\" to listOf(1109, 696, 353, 192, 168, 86, 74, 65, 53),\n",
" \"explode\" to listOf(0, 0, 0, 0.1, 0.1, 0.2, 0.3, 0.4, 0.6)\n",
")\n",
"\n",
"ggplot(length) + blankTheme +\n",
" geomPie(stat = Stat.identity, stroke = 1, color = \"black\", size = 20) {\n",
" fill = \"name\"; slice = \"count\"; explode = \"explode\"\n",
" } +\n",
" scaleFillGradient(low = \"dark_blue\", high = \"light_green\")\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "5953f8aa",
"metadata": {
"execution": {
"iopub.execute_input": "2025-12-03T16:01:48.099210Z",
"iopub.status.busy": "2025-12-03T16:01:48.099071Z",
"iopub.status.idle": "2025-12-03T16:01:48.204903Z",
"shell.execute_reply": "2025-12-03T16:01:48.204978Z"
}
},
"outputs": [
{
"data": {
"application/plot+json": {
"apply_color_scheme": true,
"output": {
"figures": [
{
"data": {
"explode": [
0.1,
0.0,
0.0,
0.0
],
"label": [
"Apples",
"Bananas",
"Cherries",
"Dates"
],
"slice": [
35.0,
25.0,
25.0,
15.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "slice",
"type": "int"
},
{
"column": "label",
"type": "str"
},
{
"column": "explode",
"type": "float"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"geom": "pie",
"mapping": {
"explode": "explode",
"fill": "label",
"slice": "slice"
},
"position": "identity",
"size": 18.0,
"stat": "identity"
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"legend_position": "none",
"line": {
"blank": true
}
}
},
{
"data": {
"explode": [
0.1,
0.0,
0.0,
0.0
],
"label": [
"Apples",
"Bananas",
"Cherries",
"Dates"
],
"slice": [
35.0,
25.0,
25.0,
15.0
]
},
"data_meta": {
"series_annotations": [
{
"column": "slice",
"type": "int"
},
{
"column": "label",
"type": "str"
},
{
"column": "explode",
"type": "float"
}
]
},
"ggsize": {
"height": 250.0,
"width": 400.0
},
"kind": "plot",
"layers": [
{
"geom": "pie",
"hole": 0.8,
"mapping": {
"explode": "explode",
"fill": "label",
"slice": "slice"
},
"position": "identity",
"size": 18.0,
"stat": "identity"
}
],
"mapping": {},
"scales": [
{
"aesthetic": "fill",
"palette": "Set1",
"scale_mapper_kind": "color_brewer"
}
],
"theme": {
"axis": {
"blank": true
},
"line": {
"blank": true
}
}
}
],
"ggsize": {
"height": 250.0,
"width": 800.0
},
"kind": "subplots",
"layout": {
"align": false,
"fit": true,
"name": "grid",
"ncol": 2,
"nrow": 1
}
},
"output_type": "lets_plot_spec",
"swing_enabled": true
},
"text/html": [
" \n",
" \n",
" "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"val calories = mapOf(\n",
" \"slice\" to listOf(35, 25, 25, 15),\n",
" \"label\" to listOf(\"Apples\", \"Bananas\", \"Cherries\", \"Dates\"),\n",
" \"explode\" to listOf(0.1, 0, 0, 0)\n",
")\n",
"\n",
"val p4 = ggplot(calories) +\n",
" blankTheme +\n",
" scaleFillBrewer(palette=\"Set1\") +\n",
" ggsize(w, h)\n",
"\n",
"gggrid(plots = listOf(\n",
" p4 + geomPie(stat = Stat.identity, size = 18) {\n",
" fill = \"label\"; slice = \"slice\"; explode = \"explode\"\n",
" } + theme().legendPositionNone(),\n",
" p4 + geomPie(stat = Stat.identity, size = 18, hole = 0.8) {\n",
" fill = \"label\"; slice = \"slice\"; explode = \"explode\"\n",
" }),\n",
" ncol = 2\n",
") + ggsize(2 * w, h)"
]
}
],
"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": "2.2.20-Beta2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}