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"cell_type": "markdown",
"id": "45f8a36c-66e4-4ad7-b2ea-a77d176271f4",
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"source": [
"# Creating Magnifier Inset Effect with `ggbunch()`\n",
"The `ggbunch()` here combines two plots into a single figure with custom layout - a main scatter plot showing diamond price vs. carat weight colored by cut quality, and a zoomed-in inset that magnifies a specific region of interest."
]
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"execution_count": 1,
"id": "45afd3bd-ca54-426b-9821-73349442dced",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3d1a30bf-a3b1-4e54-980d-e61548b55393",
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"LetsPlot.setup_html()"
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{
"cell_type": "code",
"execution_count": 3,
"id": "f9ebe179-2678-4fa3-b55a-822489e3601b",
"metadata": {},
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{
"name": "stdout",
"output_type": "stream",
"text": [
"(53940, 10)\n"
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"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>carat</th>\n",
" <th>cut</th>\n",
" <th>color</th>\n",
" <th>clarity</th>\n",
" <th>depth</th>\n",
" <th>table</th>\n",
" <th>price</th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" <th>z</th>\n",
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" <th>0</th>\n",
" <td>0.23</td>\n",
" <td>Ideal</td>\n",
" <td>E</td>\n",
" <td>SI2</td>\n",
" <td>61.5</td>\n",
" <td>55.0</td>\n",
" <td>326</td>\n",
" <td>3.95</td>\n",
" <td>3.98</td>\n",
" <td>2.43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.21</td>\n",
" <td>Premium</td>\n",
" <td>E</td>\n",
" <td>SI1</td>\n",
" <td>59.8</td>\n",
" <td>61.0</td>\n",
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" <td>3.89</td>\n",
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" <td>2.31</td>\n",
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" <tr>\n",
" <th>2</th>\n",
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" <td>Good</td>\n",
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"text/plain": [
" carat cut color clarity depth table price x y z\n",
"0 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43\n",
"1 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31\n",
"2 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/refs/heads/master/data/diamonds.csv\")\n",
"print(df.shape)\n",
"df.head(3)"
]
},
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"cell_type": "code",
"execution_count": 4,
"id": "e9a28f93-7d18-4ec1-9fc0-17edc049fe9a",
"metadata": {},
"outputs": [],
"source": [
"# Convert the 'cut' column to categorical data type with specified order\n",
"cut_categories = ['Fair', 'Good', 'Very Good', 'Premium', 'Ideal']\n",
"df['cut'] = pd.Categorical(df['cut'], categories=cut_categories, ordered=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "8fbb63ef-eb0c-4756-b072-19ad722182a5",
"metadata": {},
"outputs": [],
"source": [
"p_base = (ggplot(df, aes(\"carat\", \"price\", color=\"cut\")) \n",
" + geom_point() \n",
" + geom_smooth(deg=2, size=1, tooltips='none')\n",
" + scale_color_viridis(direction = -1)\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "ff540616-9f5c-47d3-a4d2-4065fc9a5c07",
"metadata": {},
"outputs": [],
"source": [
"# The region of interest\n",
"carat_min = 2.1\n",
"carat_max = 2.7\n",
"price_min = 12650\n",
"price_max = 17100"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "13096892-1744-494a-b736-3fe51d190c89",
"metadata": {},
"outputs": [
{
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"}\n",
"},{\n",
"\"geom\":\"rect\",\n",
"\"mapping\":{\n",
"},\n",
"\"inherit_aes\":false,\n",
"\"data_meta\":{\n",
"},\n",
"\"xmin\":2.1,\n",
"\"xmax\":2.7,\n",
"\"ymin\":12650.0,\n",
"\"ymax\":17100.0,\n",
"\"alpha\":0.4,\n",
"\"fill\":\"white\",\n",
"\"data\":{\n",
"}\n",
"}],\n",
"\"metainfo_list\":[],\n",
"\"spec_id\":\"1\"\n",
"};\n",
" window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
" } else {\n",
" fig.updateView({});\n",
" }\n",
" }\n",
" \n",
" const renderImmediately = \n",
" forceImmediateRender || (\n",
" sizing.width_mode === 'FIXED' && \n",
" (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
" );\n",
" \n",
" if (renderImmediately) {\n",
" renderPlot();\n",
" }\n",
" \n",
" if (!renderImmediately || responsive) {\n",
" // Set up observer for initial sizing or continuous monitoring\n",
" var observer = new ResizeObserver(function(entries) {\n",
" for (let entry of entries) {\n",
" if (entry.contentBoxSize && \n",
" entry.contentBoxSize[0].inlineSize > 0) {\n",
" if (!responsive && observer) {\n",
" observer.disconnect();\n",
" observer = null;\n",
" }\n",
" renderPlot();\n",
" if (!responsive) {\n",
" break;\n",
" }\n",
" }\n",
" }\n",
" });\n",
" \n",
" observer.observe(containerDiv);\n",
" }\n",
" \n",
" // ----------\n",
" })();\n",
" \n",
" </script>"
],
"text/plain": [
"<lets_plot.plot.core.PlotSpec at 0x12fb9a640>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# The main plot\n",
"p_main = (p_base\n",
" + geom_rect(xmin=carat_min, \n",
" xmax=carat_max, \n",
" ymin=price_min, \n",
" ymax=price_max, \n",
" alpha=0.4, inherit_aes=False, fill='white') \n",
" + theme_grey() \n",
" + coord_cartesian(ylim = [0, 20000])\n",
" + theme(legend_position=[0.58, 0.02], legend_justification=[0, 0])\n",
")\n",
"\n",
"p_main"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "6dd05779-8947-43a1-bdfc-9e2d6871edd0",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" <div id=\"v3DztE\"></div>\n",
" <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
" \n",
" (function() {\n",
" // ----------\n",
" \n",
" const forceImmediateRender = false;\n",
" const responsive = false;\n",
" \n",
" let sizing = {\n",
" width_mode: \"MIN\",\n",
" height_mode: \"SCALED\",\n",
" width: null, \n",
" height: null \n",
" };\n",
" \n",
" const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
" if (preferredWidth !== undefined) {\n",
" sizing = {\n",
" width_mode: 'FIXED',\n",
" height_mode: 'SCALED',\n",
" width: parseFloat(preferredWidth)\n",
" };\n",
" }\n",
" \n",
" const containerDiv = document.getElementById(\"v3DztE\");\n",
" let fig = null;\n",
" \n",
" function renderPlot() {\n",
" if (fig === null) {\n",
" const plotSpec = {\n",
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"}\n",
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"\"spec_id\":\"2\"\n",
"};\n",
" window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
" } else {\n",
" fig.updateView({});\n",
" }\n",
" }\n",
" \n",
" const renderImmediately = \n",
" forceImmediateRender || (\n",
" sizing.width_mode === 'FIXED' && \n",
" (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
" );\n",
" \n",
" if (renderImmediately) {\n",
" renderPlot();\n",
" }\n",
" \n",
" if (!renderImmediately || responsive) {\n",
" // Set up observer for initial sizing or continuous monitoring\n",
" var observer = new ResizeObserver(function(entries) {\n",
" for (let entry of entries) {\n",
" if (entry.contentBoxSize && \n",
" entry.contentBoxSize[0].inlineSize > 0) {\n",
" if (!responsive && observer) {\n",
" observer.disconnect();\n",
" observer = null;\n",
" }\n",
" renderPlot();\n",
" if (!responsive) {\n",
" break;\n",
" }\n",
" }\n",
" }\n",
" });\n",
" \n",
" observer.observe(containerDiv);\n",
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},
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],
"source": [
"# The 'magnifier' plot\n",
"p_mag = (p_base\n",
" + theme_minimal() \n",
" + coord_cartesian(xlim=[carat_min, carat_max], \n",
" ylim=[price_min, price_max])\n",
" + theme_void()\n",
" + theme(legend_position='none', plot_inset=0)\n",
")\n",
"\n",
"p_mag"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c8f771c6-3842-4bcb-96e7-3ea8ac5502f1",
"metadata": {},
"outputs": [
{
"data": {
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" <div id=\"rLejFs\"></div>\n",
" <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
" \n",
" (function() {\n",
" // ----------\n",
" \n",
" const forceImmediateRender = false;\n",
" const responsive = false;\n",
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" width: parseFloat(preferredWidth)\n",
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"},\n",
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"\"text\":\"Diamond Price vs. Carat Weight by Cut Quality\"\n",
"},\n",
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"\"name\":\"free\"\n",
"},\n",
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"}\n",
"}],\n",
"\"metainfo_list\":[],\n",
"\"spec_id\":\"4\"\n",
"}]\n",
"};\n",
" window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
" } else {\n",
" fig.updateView({});\n",
" }\n",
" }\n",
" \n",
" const renderImmediately = \n",
" forceImmediateRender || (\n",
" sizing.width_mode === 'FIXED' && \n",
" (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
" );\n",
" \n",
" if (renderImmediately) {\n",
" renderPlot();\n",
" }\n",
" \n",
" if (!renderImmediately || responsive) {\n",
" // Set up observer for initial sizing or continuous monitoring\n",
" var observer = new ResizeObserver(function(entries) {\n",
" for (let entry of entries) {\n",
" if (entry.contentBoxSize && \n",
" entry.contentBoxSize[0].inlineSize > 0) {\n",
" if (!responsive && observer) {\n",
" observer.disconnect();\n",
" observer = null;\n",
" }\n",
" renderPlot();\n",
" if (!responsive) {\n",
" break;\n",
" }\n",
" }\n",
" }\n",
" });\n",
" \n",
" observer.observe(containerDiv);\n",
" }\n",
" \n",
" // ----------\n",
" })();\n",
" \n",
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],
"text/plain": [
"<lets_plot.plot.subplots.SupPlotsSpec at 0x13b0791f0>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"(ggbunch(\n",
" plots = [\n",
" (p_main\n",
" + geom_segment(x=carat_min, y=price_min, xend=4.30, yend=5800, inherit_aes=False, size=0.5)\n",
" + geom_segment(x=carat_min, y=price_max, xend=4.30, yend=19100, inherit_aes=False, size=0.5)\n",
" ), \n",
" p_mag + theme(plot_background=element_rect(size=2, fill='rgba(255, 255, 255, 0.7)'))\n",
" ],\n",
" regions = [\n",
" (0, 0, 0.9, 1),\n",
" (0.75, 0.05, 0.25, 0.6)\n",
" ]\n",
") \n",
" + ggsize(900, 600) \n",
" + ggtitle('Diamond Price vs. Carat Weight by Cut Quality') \n",
" + theme(plot_title=element_text(hjust=0.5, size=18))\n",
") \n"
]
}
],
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