{
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"cell_type": "code",
"execution_count": 1,
"id": "adf7aa23-daf2-4cfe-9910-2b00576b2ff7",
"metadata": {},
"outputs": [],
"source": [
"import polars as pl\n",
"import altair as alt"
]
},
{
"cell_type": "markdown",
"id": "0726aa55-4e9f-4f0f-a522-dc231c3f2c41",
"metadata": {},
"source": [
"These are examples used in class, there's no additional content here, but you can see how the examples were created."
]
},
{
"cell_type": "code",
"execution_count": 118,
"id": "05a4d76e-7ade-431a-a773-d438c6ac9c79",
"metadata": {},
"outputs": [],
"source": [
"random_df = pl.DataFrame({\n",
" \"a\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20],\n",
" \"b\": [\"a\", \"b\", \"q\", \"c\", \"a\", \"c\", \"n\", \"c\", \"p\", \"b\", \"c\", \"n\", \"q\", \"r\", \"a\", \"b\", \"c\", \"b\", \"b\", \"b\"],\n",
" \"c\": [500, 2, 3, 4, 10, 20, 100, 490, 400, 140, 200, 180, 380, 350, 180, 135, 400, 210, 230, 300]\n",
"})"
]
},
{
"cell_type": "code",
"execution_count": 122,
"id": "902298fe-3a6c-446e-a060-f95071acedf1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alt.Chart(random_df).mark_point().encode(\n",
" alt.X(\"a\"),\n",
" alt.Y(\"c\"),\n",
" alt.Color(\"b\", legend=None),\n",
" alt.Size(\"c\", legend=None),\n",
" alt.Shape(\"a:N\", legend=None),\n",
" alt.Fill(\"b\", legend=None),\n",
" alt.Opacity(\"b\", legend=None),\n",
") "
]
},
{
"cell_type": "code",
"execution_count": 120,
"id": "87228f27-baad-4acb-80af-1ca44c21e8fe",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 123,
"id": "5515ea60-70c1-4fd7-bef9-b5451c2ea00c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alt.Chart(random_df).mark_line().encode(\n",
" x=\"a\",\n",
" y=\"c\",\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 143,
"id": "ba3df4b2-e64e-4574-b104-068ebe8d76c2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.LayerChart(...)"
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stevens = {\"brightness\": 0.4, \"depth perception\": 0.63, \"area\": 0.7, \"2D position\": 1, \n",
" \"color saturation\": 1.7, \n",
" # \"electric shock\": 3.5\n",
" }\n",
"\n",
"rows = []\n",
"for x in [0,0.2,0.4,0.6, 0.8, 1.0, 1.25, 1.5, 1.75, 2, 3]:\n",
" for cat, exponent in stevens.items():\n",
" rows.append({\"category\": cat, \"delta-stimulus\": x, \"response\": x**exponent})\n",
"\n",
"stevens_df = pl.DataFrame(rows)\n",
"\n",
"alt.Chart(stevens_df).mark_line().encode(\n",
" alt.Color(\"category\", legend=None),\n",
" alt.X(\"delta-stimulus\"),\n",
" alt.Y(\"response\"),\n",
") + alt.Chart(stevens_df).mark_text(align=\"left\", dx=2).encode(\n",
" alt.Color(\"category\"),\n",
" alt.Text(\"category\"),\n",
" alt.X(\"delta-stimulus\", aggregate=\"max\"),\n",
" alt.Y(\"response\", aggregate=\"max\"),\n",
").properties()"
]
},
{
"cell_type": "code",
"execution_count": 138,
"id": "95dc101c-1dda-413a-87fb-b700fe5f43e3",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
""
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 138,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9ad736e1-0e19-46d1-8e93-2b1409ffffc1",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.15"
}
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"nbformat": 4,
"nbformat_minor": 5
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