397 lines
437 KiB
Plaintext
397 lines
437 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "aad6179d-be3f-4e61-a80b-3428f17e12b3",
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"metadata": {},
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"source": [
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"## Example: Highlighting Subset of Data\n",
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"\n",
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"Let's say you have a lot of something: countries or counties maybe, represented by lines or points, and you want to show a lot of them for context, but there are 1-5 that are very important.\n",
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"\n",
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"This is an example of how you might desaturate all but the key items, and ensure that the data that you care about stands out.\n",
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"\n",
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"This can turn a pile of spaghetti into a clear indication of a point."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "07eb67c8-41d0-4c84-892d-822d90504cad",
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"metadata": {},
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"outputs": [],
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"source": [
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"import altair as alt\n",
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"import polars as pl\n",
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"import random"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"id": "eac46c04-ab06-44ea-82af-6471c71f486b",
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"metadata": {},
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"outputs": [],
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"source": [
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"countries_initial = {\n",
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" \"AA\": 20, \"AB\": 25, \"AC\": 30, \"AD\": 27, \"AE\": 21,\n",
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" \"BA\": 20, \"BB\": 25, \"BC\": 30, \"BD\": 27, \"BE\": 21,\n",
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" \"CA\": 20, \"CB\": 25, \"CC\": 30, \"CD\": 27, \"CE\": 21,\n",
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" \"DA\": 20, \"DB\": 25, \"DC\": 30, \"DD\": 27, \"CE\": 21,\n",
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" \"EA\": 20, \"EB\": 25, \"EC\": 30, \"ED\": 27, \"CE\": 21,\n",
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" }\n",
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"def generate_fake_data():\n",
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" countries = {\n",
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" \"AA\": 20, \"AB\": 25, \"AC\": 30, \"AD\": 27, \"AE\": 21,\n",
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" \"BA\": 20, \"BB\": 25, \"BC\": 30, \"BD\": 27, \"BE\": 21,\n",
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" \"CA\": 20, \"CB\": 25, \"CC\": 30, \"CD\": 27, \"CE\": 21,\n",
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" \"DA\": 20, \"DB\": 25, \"DC\": 30, \"DD\": 27, \"CE\": 21,\n",
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" \"EA\": 20, \"EB\": 25, \"EC\": 30, \"ED\": 27, \"CE\": 21,\n",
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" }\n",
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" # 100 records in our time series\n",
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" for t in range(100):\n",
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" # update all 25\n",
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" for country in countries:\n",
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" countries[country] += random.random() - 0.3\n",
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" yield {\"country\": country, \"val\": countries[country], \"t\": t} \n",
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"\n",
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"# just need some fake time-series like data\n",
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"# scatterplots can also benefit a lot from these ideas\n",
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"data = pl.DataFrame(generate_fake_data())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fd90289f-46bb-4102-bb02-bf5732dee01c",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 48,
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"id": "17e6f86a-bd9f-44a7-af5f-917237c3393b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" #altair-viz-03fb0d8a87e349639184b6fd75b658b2.vega-embed {\n",
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" width: 100%;\n",
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" display: flex;\n",
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" }\n",
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"\n",
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" #altair-viz-03fb0d8a87e349639184b6fd75b658b2.vega-embed details,\n",
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" #altair-viz-03fb0d8a87e349639184b6fd75b658b2.vega-embed details summary {\n",
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" position: relative;\n",
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" }\n",
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"</style>\n",
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"<div id=\"altair-viz-03fb0d8a87e349639184b6fd75b658b2\"></div>\n",
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"<script type=\"text/javascript\">\n",
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" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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" (function(spec, embedOpt){\n",
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" let outputDiv = document.currentScript.previousElementSibling;\n",
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" if (outputDiv.id !== \"altair-viz-03fb0d8a87e349639184b6fd75b658b2\") {\n",
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" outputDiv = document.getElementById(\"altair-viz-03fb0d8a87e349639184b6fd75b658b2\");\n",
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" }\n",
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" const paths = {\n",
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" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
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" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
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" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
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" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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" };\n",
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"\n",
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" function maybeLoadScript(lib, version) {\n",
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" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
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" return (VEGA_DEBUG[key] == version) ?\n",
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" Promise.resolve(paths[lib]) :\n",
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" new Promise(function(resolve, reject) {\n",
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" var s = document.createElement('script');\n",
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" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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" s.async = true;\n",
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" s.onload = () => {\n",
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" VEGA_DEBUG[key] = version;\n",
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" return resolve(paths[lib]);\n",
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" };\n",
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" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
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" s.src = paths[lib];\n",
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" });\n",
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" }\n",
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"\n",
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" function showError(err) {\n",
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" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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" throw err;\n",
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" }\n",
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"\n",
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" function displayChart(vegaEmbed) {\n",
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" vegaEmbed(outputDiv, spec, embedOpt)\n",
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" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
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" }\n",
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"\n",
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" if(typeof define === \"function\" && define.amd) {\n",
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" requirejs.config({paths});\n",
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" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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" } else {\n",
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" maybeLoadScript(\"vega\", \"5\")\n",
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" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
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" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
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" .catch(showError)\n",
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" .then(() => displayChart(vegaEmbed));\n",
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" }\n",
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" })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-c9bb8c97fb5e80e6964753840972258a\"}, \"mark\": {\"type\": \"line\"}, \"encoding\": {\"color\": {\"field\": \"country\", \"type\": \"nominal\"}, \"x\": {\"field\": \"t\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"val\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.20.1.json\", \"datasets\": {\"data-c9bb8c97fb5e80e6964753840972258a\": [{\"country\": \"AA\", \"val\": 20.690405202053906, \"t\": 0}, {\"country\": \"AB\", \"val\": 25.627486098647374, \"t\": 0}, {\"country\": \"AC\", \"val\": 29.803984673411694, \"t\": 0}, {\"country\": \"AD\", \"val\": 26.806044568343054, \"t\": 0}, {\"country\": \"AE\", \"val\": 21.65437480231554, \"t\": 0}, {\"country\": \"BA\", \"val\": 19.82254802157332, \"t\": 0}, {\"country\": \"BB\", \"val\": 24.755561439368503, \"t\": 0}, {\"country\": \"BC\", \"val\": 29.779613386761508, \"t\": 0}, {\"country\": \"BD\", \"val\": 27.125654519671674, \"t\": 0}, {\"country\": \"BE\", \"val\": 21.082171596350676, \"t\": 0}, {\"country\": \"CA\", \"val\": 20.18290256011536, \"t\": 0}, {\"country\": \"CB\", \"val\": 25.16475598155596, \"t\": 0}, {\"country\": \"CC\", \"val\": 29.71481094502052, \"t\": 0}, {\"country\": \"CD\", \"val\": 27.29916915735259, \"t\": 0}, {\"country\": \"CE\", \"val\": 21.355857567341904, \"t\": 0}, {\"country\": \"DA\", \"val\": 20.3094331746071, \"t\": 0}, {\"country\": \"DB\", \"val\": 25.01681416413383, \"t\": 0}, {\"country\": \"DC\", \"val\": 30.131491561347673, \"t\": 0}, {\"country\": \"DD\", \"val\": 27.607889963520954, \"t\": 0}, {\"country\": \"EA\", \"val\": 19.774303589086518, \"t\": 0}, {\"country\": \"EB\", \"val\": 25.330115328630598, \"t\": 0}, {\"country\": \"EC\", \"val\": 29.8771142165084, \"t\": 0}, {\"country\": \"ED\", \"val\": 26.77191867642152, \"t\": 0}, {\"country\": \"AA\", \"val\": 20.495627325522573, \"t\": 1}, {\"country\": 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"</script>"
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],
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"text/plain": [
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"alt.Chart(...)"
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]
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},
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"execution_count": 48,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"# Spaghetti\n",
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"alt.Chart(data).mark_line().encode(\n",
|
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" color=\"country\", y=\"val\", x=\"t\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"id": "c5fc9ebc-0286-4d87-aeaa-c589127871bb",
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"metadata": {},
|
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"outputs": [
|
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{
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"data": {
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"text/html": [
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"\n",
|
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"<style>\n",
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" #altair-viz-928865c018314977bb16c755db7538c5.vega-embed {\n",
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" width: 100%;\n",
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" display: flex;\n",
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" }\n",
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"\n",
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" #altair-viz-928865c018314977bb16c755db7538c5.vega-embed details,\n",
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" #altair-viz-928865c018314977bb16c755db7538c5.vega-embed details summary {\n",
|
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" position: relative;\n",
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" }\n",
|
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"</style>\n",
|
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"<div id=\"altair-viz-928865c018314977bb16c755db7538c5\"></div>\n",
|
|
"<script type=\"text/javascript\">\n",
|
|
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
|
|
" (function(spec, embedOpt){\n",
|
|
" let outputDiv = document.currentScript.previousElementSibling;\n",
|
|
" if (outputDiv.id !== \"altair-viz-928865c018314977bb16c755db7538c5\") {\n",
|
|
" outputDiv = document.getElementById(\"altair-viz-928865c018314977bb16c755db7538c5\");\n",
|
|
" }\n",
|
|
" const paths = {\n",
|
|
" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
|
|
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
|
|
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
|
|
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
|
|
" };\n",
|
|
"\n",
|
|
" function maybeLoadScript(lib, version) {\n",
|
|
" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
|
|
" return (VEGA_DEBUG[key] == version) ?\n",
|
|
" Promise.resolve(paths[lib]) :\n",
|
|
" new Promise(function(resolve, reject) {\n",
|
|
" var s = document.createElement('script');\n",
|
|
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
|
|
" s.async = true;\n",
|
|
" s.onload = () => {\n",
|
|
" VEGA_DEBUG[key] = version;\n",
|
|
" return resolve(paths[lib]);\n",
|
|
" };\n",
|
|
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
|
|
" s.src = paths[lib];\n",
|
|
" });\n",
|
|
" }\n",
|
|
"\n",
|
|
" function showError(err) {\n",
|
|
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
|
|
" throw err;\n",
|
|
" }\n",
|
|
"\n",
|
|
" function displayChart(vegaEmbed) {\n",
|
|
" vegaEmbed(outputDiv, spec, embedOpt)\n",
|
|
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
|
|
" }\n",
|
|
"\n",
|
|
" if(typeof define === \"function\" && define.amd) {\n",
|
|
" requirejs.config({paths});\n",
|
|
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
|
|
" } else {\n",
|
|
" maybeLoadScript(\"vega\", \"5\")\n",
|
|
" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
|
|
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
|
|
" .catch(showError)\n",
|
|
" .then(() => displayChart(vegaEmbed));\n",
|
|
" }\n",
|
|
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{\"country\": \"CC\", \"val\": 51.660365628617285, \"t\": 95}, {\"country\": \"CD\", \"val\": 46.835670519352405, \"t\": 95}, {\"country\": \"CE\", \"val\": 39.00782034498307, \"t\": 95}, {\"country\": \"DA\", \"val\": 39.30079754748178, \"t\": 95}, {\"country\": \"DB\", \"val\": 48.084129907727565, \"t\": 95}, {\"country\": \"DC\", \"val\": 46.953331952533965, \"t\": 95}, {\"country\": \"DD\", \"val\": 50.1614165446123, \"t\": 95}, {\"country\": \"EA\", \"val\": 37.58052184848975, \"t\": 95}, {\"country\": \"EB\", \"val\": 44.208387093265955, \"t\": 95}, {\"country\": \"EC\", \"val\": 50.72119202920251, \"t\": 95}, {\"country\": \"ED\", \"val\": 46.650202566712444, \"t\": 95}, {\"country\": \"AA\", \"val\": 39.33348466757371, \"t\": 96}, {\"country\": \"AB\", \"val\": 45.16336952542691, \"t\": 96}, {\"country\": \"AC\", \"val\": 41.08830406817642, \"t\": 96}, {\"country\": \"AD\", \"val\": 45.49514764690528, \"t\": 96}, {\"country\": \"AE\", \"val\": 38.621673707709, \"t\": 96}, {\"country\": \"BA\", \"val\": 36.64132641933712, \"t\": 96}, {\"country\": \"BB\", \"val\": 42.36295875354694, \"t\": 96}, {\"country\": \"BC\", \"val\": 51.38690151783831, \"t\": 96}, {\"country\": \"BD\", \"val\": 41.527043274119016, \"t\": 96}, {\"country\": \"BE\", \"val\": 39.88762704951549, \"t\": 96}, {\"country\": \"CA\", \"val\": 37.835197745758684, \"t\": 96}, {\"country\": \"CB\", \"val\": 45.323240086258465, \"t\": 96}, {\"country\": \"CC\", \"val\": 51.7083169506546, \"t\": 96}, {\"country\": \"CD\", \"val\": 46.626360081802844, \"t\": 96}, {\"country\": \"CE\", \"val\": 39.159949529286386, \"t\": 96}, {\"country\": \"DA\", \"val\": 39.25999036764166, \"t\": 96}, {\"country\": \"DB\", \"val\": 48.24051723594832, \"t\": 96}, {\"country\": \"DC\", \"val\": 47.05220490276099, \"t\": 96}, {\"country\": \"DD\", \"val\": 50.34897665716506, \"t\": 96}, {\"country\": \"EA\", \"val\": 37.62897218728445, \"t\": 96}, {\"country\": \"EB\", \"val\": 43.95453394783875, \"t\": 96}, {\"country\": \"EC\", \"val\": 51.324761074892024, \"t\": 96}, {\"country\": \"ED\", \"val\": 46.42726453957708, \"t\": 96}, {\"country\": \"AA\", \"val\": 39.4026419051268, \"t\": 97}, {\"country\": \"AB\", \"val\": 45.786804045561226, \"t\": 97}, {\"country\": \"AC\", \"val\": 41.567978684323556, \"t\": 97}, {\"country\": \"AD\", \"val\": 45.8219557032161, \"t\": 97}, {\"country\": \"AE\", \"val\": 38.341499989382264, \"t\": 97}, {\"country\": \"BA\", \"val\": 37.17697513561208, \"t\": 97}, {\"country\": \"BB\", \"val\": 43.01533804637581, \"t\": 97}, {\"country\": \"BC\", \"val\": 51.393272086177916, \"t\": 97}, {\"country\": \"BD\", \"val\": 41.408265319341105, \"t\": 97}, {\"country\": \"BE\", \"val\": 39.668066561089645, \"t\": 97}, {\"country\": \"CA\", \"val\": 38.110580672629744, \"t\": 97}, {\"country\": \"CB\", \"val\": 45.1913169436542, \"t\": 97}, {\"country\": \"CC\", \"val\": 52.20808235184117, \"t\": 97}, {\"country\": \"CD\", \"val\": 46.78541580860895, \"t\": 97}, {\"country\": \"CE\", \"val\": 38.92213810907479, \"t\": 97}, {\"country\": \"DA\", \"val\": 39.73283974749509, \"t\": 97}, {\"country\": \"DB\", \"val\": 48.76330700843622, \"t\": 97}, {\"country\": \"DC\", \"val\": 47.16012231646324, \"t\": 97}, {\"country\": \"DD\", \"val\": 50.441677561694576, \"t\": 97}, {\"country\": \"EA\", \"val\": 38.0612440191365, \"t\": 97}, {\"country\": \"EB\", \"val\": 43.66229321373299, \"t\": 97}, {\"country\": \"EC\", \"val\": 51.16129225806095, \"t\": 97}, {\"country\": \"ED\", \"val\": 46.78263185913419, \"t\": 97}, {\"country\": \"AA\", \"val\": 39.261460723299905, \"t\": 98}, {\"country\": \"AB\", \"val\": 45.57695732067757, \"t\": 98}, {\"country\": \"AC\", \"val\": 41.43180972428794, \"t\": 98}, {\"country\": \"AD\", \"val\": 46.16672998117692, \"t\": 98}, {\"country\": \"AE\", \"val\": 38.99954392992842, \"t\": 98}, {\"country\": \"BA\", \"val\": 37.56352955902752, \"t\": 98}, {\"country\": \"BB\", \"val\": 43.0339323642369, \"t\": 98}, {\"country\": \"BC\", \"val\": 51.897189466533426, \"t\": 98}, {\"country\": \"BD\", \"val\": 41.69041703523021, \"t\": 98}, {\"country\": \"BE\", \"val\": 39.70525944462406, \"t\": 98}, {\"country\": \"CA\", \"val\": 38.729183404855384, \"t\": 98}, {\"country\": \"CB\", \"val\": 45.21533633324413, \"t\": 98}, {\"country\": \"CC\", \"val\": 52.3001975863273, \"t\": 98}, {\"country\": \"CD\", \"val\": 46.95157859708698, \"t\": 98}, {\"country\": \"CE\", \"val\": 39.573977443144706, \"t\": 98}, {\"country\": \"DA\", \"val\": 39.461338223096405, \"t\": 98}, {\"country\": \"DB\", \"val\": 49.045671377259964, \"t\": 98}, {\"country\": \"DC\", \"val\": 47.08415754650665, \"t\": 98}, {\"country\": \"DD\", \"val\": 50.66247871708745, \"t\": 98}, {\"country\": \"EA\", \"val\": 38.118390206658994, \"t\": 98}, {\"country\": \"EB\", \"val\": 44.1879866526733, \"t\": 98}, {\"country\": \"EC\", \"val\": 51.00826494094875, \"t\": 98}, {\"country\": \"ED\", \"val\": 46.818944220649016, \"t\": 98}, {\"country\": \"AA\", \"val\": 39.759026668535704, \"t\": 99}, {\"country\": \"AB\", \"val\": 46.016677241099984, \"t\": 99}, {\"country\": \"AC\", \"val\": 41.362608417671765, \"t\": 99}, {\"country\": \"AD\", \"val\": 46.76405263395728, \"t\": 99}, {\"country\": \"AE\", \"val\": 39.01373513753145, \"t\": 99}, {\"country\": \"BA\", \"val\": 38.26343382043183, \"t\": 99}, {\"country\": \"BB\", \"val\": 43.501689843038754, \"t\": 99}, {\"country\": \"BC\", \"val\": 52.32540605340493, \"t\": 99}, {\"country\": \"BD\", \"val\": 41.41418352779907, \"t\": 99}, {\"country\": \"BE\", \"val\": 40.13484644844491, \"t\": 99}, {\"country\": \"CA\", \"val\": 38.55169558493945, \"t\": 99}, {\"country\": \"CB\", \"val\": 45.273588021727086, \"t\": 99}, {\"country\": \"CC\", \"val\": 52.17477629548266, \"t\": 99}, {\"country\": \"CD\", \"val\": 47.40193271457769, \"t\": 99}, {\"country\": \"CE\", \"val\": 39.46992450443786, \"t\": 99}, {\"country\": \"DA\", \"val\": 39.98331090209218, \"t\": 99}, {\"country\": \"DB\", \"val\": 49.52896983437329, \"t\": 99}, {\"country\": \"DC\", \"val\": 47.71467818850634, \"t\": 99}, {\"country\": \"DD\", \"val\": 50.721814256294465, \"t\": 99}, {\"country\": \"EA\", \"val\": 38.0033389549923, \"t\": 99}, {\"country\": \"EB\", \"val\": 43.970383329657245, \"t\": 99}, {\"country\": \"EC\", \"val\": 50.711163443690864, \"t\": 99}, {\"country\": \"ED\", \"val\": 46.99575213587968, \"t\": 99}]}}, {\"mode\": \"vega-lite\"});\n",
|
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"</script>"
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],
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"text/plain": [
|
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"alt.Chart(...)"
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]
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},
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|
"execution_count": 46,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"# Example: highlighting a subset of lines\n",
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"\n",
|
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"# If you're seeing overlaps, reorder data so your highlights are last\n",
|
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"highlights = [\"EC\", \"ED\"] \n",
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"\n",
|
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"alt.Chart(data).mark_line().encode( \n",
|
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" y=\"val\",\n",
|
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" x=\"t\",\n",
|
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" color=alt.condition(\n",
|
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" alt.FieldOneOfPredicate(field='country', oneOf=highlights),\n",
|
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" alt.value('orange'), # Color for the highlighted countries\n",
|
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" alt.value('lightgrey') # Color for the rest\n",
|
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" ),\n",
|
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" # this is needed to preserve grouping when using condition\n",
|
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" detail=\"country\",\n",
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")"
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]
|
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},
|
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{
|
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"cell_type": "code",
|
|
"execution_count": 49,
|
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"id": "31ba7622-d1da-4f52-bf44-26e3e1ced0d5",
|
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"metadata": {},
|
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"outputs": [
|
|
{
|
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"data": {
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"text/html": [
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"\n",
|
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"<style>\n",
|
|
" #altair-viz-dbbd94238dc846a1ad0fda4db211a3c6.vega-embed {\n",
|
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" width: 100%;\n",
|
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" display: flex;\n",
|
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" }\n",
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"\n",
|
|
" #altair-viz-dbbd94238dc846a1ad0fda4db211a3c6.vega-embed details,\n",
|
|
" #altair-viz-dbbd94238dc846a1ad0fda4db211a3c6.vega-embed details summary {\n",
|
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" position: relative;\n",
|
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" }\n",
|
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"</style>\n",
|
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"<div id=\"altair-viz-dbbd94238dc846a1ad0fda4db211a3c6\"></div>\n",
|
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"<script type=\"text/javascript\">\n",
|
|
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
|
|
" (function(spec, embedOpt){\n",
|
|
" let outputDiv = document.currentScript.previousElementSibling;\n",
|
|
" if (outputDiv.id !== \"altair-viz-dbbd94238dc846a1ad0fda4db211a3c6\") {\n",
|
|
" outputDiv = document.getElementById(\"altair-viz-dbbd94238dc846a1ad0fda4db211a3c6\");\n",
|
|
" }\n",
|
|
" const paths = {\n",
|
|
" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
|
|
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
|
|
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
|
|
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
|
|
" };\n",
|
|
"\n",
|
|
" function maybeLoadScript(lib, version) {\n",
|
|
" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
|
|
" return (VEGA_DEBUG[key] == version) ?\n",
|
|
" Promise.resolve(paths[lib]) :\n",
|
|
" new Promise(function(resolve, reject) {\n",
|
|
" var s = document.createElement('script');\n",
|
|
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
|
|
" s.async = true;\n",
|
|
" s.onload = () => {\n",
|
|
" VEGA_DEBUG[key] = version;\n",
|
|
" return resolve(paths[lib]);\n",
|
|
" };\n",
|
|
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
|
|
" s.src = paths[lib];\n",
|
|
" });\n",
|
|
" }\n",
|
|
"\n",
|
|
" function showError(err) {\n",
|
|
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
|
|
" throw err;\n",
|
|
" }\n",
|
|
"\n",
|
|
" function displayChart(vegaEmbed) {\n",
|
|
" vegaEmbed(outputDiv, spec, embedOpt)\n",
|
|
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
|
|
" }\n",
|
|
"\n",
|
|
" if(typeof define === \"function\" && define.amd) {\n",
|
|
" requirejs.config({paths});\n",
|
|
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
|
|
" } else {\n",
|
|
" maybeLoadScript(\"vega\", \"5\")\n",
|
|
" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
|
|
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
|
|
" .catch(showError)\n",
|
|
" .then(() => displayChart(vegaEmbed));\n",
|
|
" }\n",
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"</script>"
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],
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"text/plain": [
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"alt.Chart(...)"
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]
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},
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"execution_count": 49,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"# alternately, using a mapping\n",
|
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"color_mapping = {\"EC\": \"blue\", \"ED\": \"red\", \"default\": \"#ddd\"}\n",
|
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"alt.Chart(data).mark_line().encode( \n",
|
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" y=\"val\",\n",
|
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" x=\"t\",\n",
|
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" color=alt.Color(\"country:N\", scale=alt.Scale(\n",
|
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" domain=list(countries_initial.keys()),\n",
|
|
" range=[color_mapping.get(c, color_mapping['default']) for c in countries_initial] \n",
|
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" ), legend=None),\n",
|
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" #detail=\"country\",\n",
|
|
") "
|
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]
|
|
},
|
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{
|
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"cell_type": "code",
|
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"execution_count": null,
|
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"id": "b547cf94-0d51-4f82-bb04-ccb7984b002c",
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"metadata": {},
|
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"outputs": [],
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"source": []
|
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}
|
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],
|
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"metadata": {
|
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"kernelspec": {
|
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"display_name": "Python 3 (ipykernel)",
|
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"language": "python",
|
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"name": "python3"
|
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},
|
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"language_info": {
|
|
"codemirror_mode": {
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"name": "ipython",
|
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"version": 3
|
|
},
|
|
"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.15"
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|
}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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