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@snowman2
Last active May 26, 2019 01:21
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GEOS STRTree versus libspatialindex RTree
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import itertools\n",
"\n",
"import rtree\n",
"import shapely\n",
"from shapely.strtree import STRtree\n",
"from shapely.geometry import Polygon, Point"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
"libspatialindex 1.9.0 he1b5a44_1 conda-forge\n",
"geos 3.7.1 hf484d3e_1000 conda-forge\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0.8.3'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rtree.__version__"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'1.6.4.post2'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shapely.__version__"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"geoms = [\n",
" Polygon([(x, y), (x + 1, y), (x+1, y+1), (x, y+1)])\n",
" for x, y in itertools.product(range(200), range(200))\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"strtree = STRtree(geoms)\n",
"rtree_idx = rtree.index.Index(((geom_idx, geom.bounds, None) for geom_idx, geom in enumerate(geoms)))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"129 ms ± 1.98 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
]
}
],
"source": [
"%timeit STRtree(geoms)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.03 s ± 84.4 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%timeit rtree.index.Index(((geom_idx, geom.bounds, None) for geom_idx, geom in enumerate(geoms)))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"search_pt = Point(139.2938371195723, 17.29550838723575)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"48.2 µs ± 427 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
]
}
],
"source": [
"%timeit list(rtree_idx.intersection(search_pt.bounds))"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.48 ms ± 57.4 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
]
}
],
"source": [
"%timeit strtree.query(search_pt)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.3"
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},
"nbformat": 4,
"nbformat_minor": 2
}
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