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{
"cells": [
{
"cell_type": "markdown",
"id": "9fe02137-ba1c-4ced-9909-b5b7c39ed6d4",
"metadata": {},
"source": [
"# Merging state/county/city polygons with party affiliation and landvote data"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6452373c-d10f-472c-9174-cd05a3363587",
"metadata": {},
"outputs": [],
"source": [
"import ibis\n",
"from ibis import _\n",
"\n",
"import streamlit as st\n",
"import ibis.expr.datatypes as dt # Make sure to import the necessary module\n",
"\n",
"conn = ibis.duckdb.connect(extensions=[\"spatial\"])\n",
"\n",
"landvote_url = \"https://huggingface.co/datasets/boettiger-lab/landvote/resolve/main/landvote_polygons.parquet\"\n",
"# party_url = \"https://huggingface.co/datasets/boettiger-lab/landvote/resolve/main/party_polygons.parquet\"\n",
"party_url = \"https://huggingface.co/datasets/boettiger-lab/landvote/resolve/main/party_polygons_all.parquet\"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dd9ffc64-b4cf-4e5b-9c96-703e91a77837",
"metadata": {},
"outputs": [],
"source": [
"landvote = (conn\n",
" .read_parquet(landvote_url)\n",
" .cast({\"geometry\": \"geometry\"})\n",
" .mutate(county = _.county.upper())\n",
" .mutate(municipal = _.municipal.upper())\n",
" .mutate(elect_year = _.year - _.year % 4) # get most recent election year \n",
" .cast({\"municipal\": \"string\",\"county\":\"string\"})\n",
" .mutate(municipal=ibis.case()\n",
" .when(_.jurisdiction.isin(['State','County']), ibis.literal(\"-\")) \n",
" .else_(_.municipal) \n",
" .end()\n",
" )\n",
" .mutate(county=ibis.case()\n",
" .when(_.jurisdiction.isin(['State']), ibis.literal(\"-\"))\n",
" .else_(ibis.case()\n",
" .when(_.county.endswith('COUNTY'), _.county)\n",
" .else_(_.county + ' COUNTY')\n",
" .end())\n",
" .end())\n",
" )\n",
"\n",
"party = (conn\n",
" .read_parquet(party_url)\n",
" .cast({\"geometry\": \"geometry\",\"municipal\":\"string\"})\n",
" .mutate(municipal=ibis.case()\n",
" .when(_.jurisdiction.isin(['State','County']), ibis.literal(\"-\")) \n",
" .else_(_.municipal) \n",
" .end()\n",
" )\n",
" .mutate(county=ibis.case()\n",
" .when(_.jurisdiction.isin(['State']), ibis.literal(\"-\")) \n",
" .else_(_.county) \n",
" .end()\n",
" )\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8fc40e96-fffd-4b23-9963-c931fdce96f6",
"metadata": {},
"outputs": [],
"source": [
"votes = (landvote\n",
" .join(party,[\"state\",\"county\",\"municipal\",\"jurisdiction\",\"geometry\", _.elect_year == party[\"year\"]],how = \"left\")\n",
" .drop('elect_year','state_right','county_right','municipal_right','year_right',\"geometry_right\",\"jurisdiction_right\")\n",
" .mutate(municipal=ibis.case()\n",
" .when(_.municipal == ibis.literal(\"-\"), None) \n",
" .else_(_.municipal) \n",
" .end()\n",
" )\n",
" .mutate(county=ibis.case()\n",
" .when(_.county == ibis.literal(\"-\"), None) \n",
" .else_(_.county) \n",
" .end()\n",
" )\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "e80cfd2e-40eb-4065-9ae6-dcaf83319d9a",
"metadata": {},
"source": [
"# Make PMTiles. Each jurisdiction type is its own layer"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b1cd8f44-57fa-49a8-b438-f9e4aab747c5",
"metadata": {},
"outputs": [],
"source": [
"import subprocess\n",
"import os\n",
"from huggingface_hub import HfApi, login\n",
"import streamlit as st\n",
"\n",
"login(st.secrets[\"HF_TOKEN\"])\n",
"# api = HfApi(add_to_git_credential=False)\n",
"api = HfApi()\n",
"\n",
"def hf_upload(file, repo_id):\n",
" info = api.upload_file(\n",
" path_or_fileobj=file,\n",
" path_in_repo=file,\n",
" repo_id=repo_id,\n",
" repo_type=\"dataset\",\n",
" )\n",
"def generate_pmtiles(input_file, input_file2, input_file3, output_file, max_zoom=12):\n",
" # Ensure Tippecanoe is installed\n",
" if subprocess.call([\"which\", \"tippecanoe\"], stdout=subprocess.DEVNULL) != 0:\n",
" raise RuntimeError(\"Tippecanoe is not installed or not in PATH\")\n",
"\n",
" # Construct the Tippecanoe command\n",
" command = [\n",
" \"tippecanoe\",\n",
" \"-o\", output_file,\n",
" \"-zg\",\n",
" \"--extend-zooms-if-still-dropping\",\n",
" \"--force\",\n",
" \"--projection\", \"EPSG:4326\", \n",
" \"-L\",\"state:\"+input_file,\n",
" \"-L\",\"county:\"+input_file2,\n",
" \"-L\",\"municipal:\"+input_file3\n",
" ]\n",
" # Run Tippecanoe\n",
" try:\n",
" subprocess.run(command, check=True)\n",
" print(f\"Successfully generated PMTiles file: {output_file}\")\n",
" except subprocess.CalledProcessError as e:\n",
" print(f\"Error running Tippecanoe: {e}\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7061577e-0632-4395-8ac5-241a1fab53b0",
"metadata": {},
"outputs": [],
"source": [
"gdf_state = votes.filter(_.jurisdiction == 'State').execute().set_crs(\"EPSG:4326\")\n",
"gdf_state.to_file(\"votes_state.geojson\")\n",
"\n",
"gdf_county = votes.filter(_.jurisdiction == 'County').execute().set_crs(\"EPSG:4326\")\n",
"gdf_county.to_file(\"votes_county.geojson\")\n",
"\n",
"gdf_city = votes.filter(_.jurisdiction == 'Municipal').execute().set_crs(\"EPSG:4326\")\n",
"gdf_city.to_file(\"votes_municipal.geojson\")\n",
"\n",
"generate_pmtiles(\"votes_state.geojson\", \"votes_county.geojson\",\"votes_municipal.geojson\", \"votes.pmtiles\")\n",
"hf_upload(\"votes.pmtiles\", \"boettiger-lab/landvote\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f2979624-bcdf-4a8a-899a-c22fc3cdaf0e",
"metadata": {},
"outputs": [],
"source": [
"# save as parquet\n",
"votes.execute().set_crs(\"EPSG:4326\").to_parquet(\"votes.parquet\")\n",
"hf_upload(\"votes.parquet\", \"boettiger-lab/landvote\")\n"
]
}
],
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"display_name": "Python 3 (ipykernel)",
"language": "python",
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},
"language_info": {
"codemirror_mode": {
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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