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fix cuspatial.haversine_distance() example in multi-tenant notebook #336

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merged 2 commits into from
Feb 5, 2024
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fix cuspatial.haversine_distance() example in multi-tenant notebook #336

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8bb5671
fix cuspatial.haversine_distance() example in multi-tenant notebook
jameslamb Feb 5, 2024
24a62f9
one other anon reference
jameslamb Feb 5, 2024
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19 changes: 10 additions & 9 deletions source/examples/rapids-autoscaling-multi-tenant-kubernetes/notebook.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -971,8 +971,8 @@
"dask.config.set({\"dataframe.backend\": \"cudf\"})\n",
"\n",
"df = dd.read_parquet(\n",
" \"gcs://anaconda-public-data/nyc-taxi/2015.parquet\",\n",
" storage_options={\"token\": \"cloud\"},\n",
" \"gcs://anaconda-public-data/nyc-taxi/2015.parquet/part.1*\",\n",
" storage_options={\"token\": \"anon\"},\n",
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@jameslamb jameslamb Feb 5, 2024 •
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Since that bucket is public, authenticating with GCP isn't necessary. For reference: https://gcsfs.readthedocs.io/en/stable/#credentials

").persist()\n",
"wait(df)\n",
"df"
Expand All @@ -991,16 +991,17 @@
"metadata": {},
"outputs": [],
"source": [
"from cuspatial import haversine_distance\n",
"import cuspatial\n",
"\n",
"\n",
"def map_haversine(part):\n",
" return haversine_distance(\n",
" part[\"pickup_longitude\"],\n",
" part[\"pickup_latitude\"],\n",
" part[\"dropoff_longitude\"],\n",
" part[\"dropoff_latitude\"],\n",
" pickup = cuspatial.GeoSeries.from_points_xy(\n",
" part[[\"pickup_longitude\", \"pickup_latitude\"]].interleave_columns()\n",
" )\n",
" dropoff = cuspatial.GeoSeries.from_points_xy(\n",
" part[[\"dropoff_longitude\", \"dropoff_latitude\"]].interleave_columns()\n",
" )\n",
" return cuspatial.haversine_distance(pickup, dropoff)\n",
"\n",
"\n",
"df[\"haversine_distance\"] = df.map_partitions(map_haversine)"
Expand Down Expand Up @@ -2232,7 +2233,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.15"
"version": "3.9.18"
},
"vscode": {
"interpreter": {
Expand Down
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