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landvote

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cboettig commited on Oct 16

Commit

656f25c

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1 Parent(s): 1c76a96

so it begins, for real this time

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Files changed (3) hide show

.gitignore +3 -0
app.py +42 -58
static-maps.ipynb +129 -57

.gitignore ADDED Viewed

	@@ -0,0 +1,3 @@


1	+ .ipynb_checkpoints
2	+ *.swp
3	+

app.py CHANGED Viewed

@@ -1,72 +1,56 @@
-import streamlit as st
-import leafmap.maplibregl as leafmap
-import ibis
-from ibis import _
-con = ibis.duckdb.connect()
 '''
 # LandVote Prototype
 '''
-m = leafmap.Map(style="positron")
-with st.sidebar:
-    if st.toggle("Protected Areas", True):
-        style_choice = st.radio("Color by:", style_options)
-        alpha = st.slider("transparency", 0.0, 1.0, 0.5)
-        style = pad_style(style_options[style_choice], alpha)
-        m.add_pmtiles(ca_pmtiles, style=style, visible=True, opacity=alpha, tooltip=True)
-select_column = {
-                "GAP Status Code": "reGAP",
-                "Management Agency": "cpad_MNG_AG_LEV",
-                "Easement": "Easement",
-                "Year": "Release_Year",
-                "Public Access": "ACCESS_TYP"}
-column = select_column[style_choice]
-select_colors = {
-                "Management Agency": manager["stops"],
-                "Easement": easement["stops"],
-                "Public Access": access["stops"],
-                "Year": year["stops"],
-                "GAP Status Code": gap["stops"]}
-colors = (ibis
-          .memtable(select_colors[style_choice], columns = [column, "color"])
-          .to_pandas()
-         )
-main = st.container()
-with main:
-    map_col, stats_col = st.columns([2,1])
-    with map_col:
-        to_streamlit(m, height=700)
-    df = summary_table(column, colors)
-    total_percent = df.percent_protected.sum().round(1)
-    with stats_col:
-        with st.container():
-            f"{total_percent}% CA Covered"
-            st.altair_chart(area_plot(df, column), use_container_width=True)
-st.divider()
-footer = st.container()

 '''
 # LandVote Prototype
 '''
+import ibis
+from ibis import _
+conn = ibis.duckdb.connect(extensions=["spatial"])
+state_boundaries = "https://data.source.coop/cboettig/us-boundaries/us-state-territory.parquet"
+county_boundaries = "https://data.source.coop/cboettig/us-boundaries/us-county.parquet"
+states = conn.read_parquet(state_boundaries).rename(state_id = "STUSPS", state = "NAME")
+county = conn.read_parquet(county_boundaries).rename(county = "NAMELSAD", state = "STATE_NAME")
+votes = conn.read_csv("measures.csv")
+vote = (votes
+       .filter(_["Jurisdiction Type"] == "County")
+       .rename(county = "Jurisdiction Name", state_id = "State")
+       .mutate(key = _.county + ibis.literal('-') + _.state_id)
+       .rename(amount = 'Conservation Funds at Stake', yes = '% Yes')
+       .mutate(amount_n=_.amount.replace('$', '').replace(',', '').cast('float'))
+       .select('key', 'amount_n', 'amount', 'Status', 'yes')
+       )
+df = (county
+      .join(states.select("state", "state_id"), "state")
+      .mutate(key = _.county + ibis.literal('-') + _.state_id)
+      .select('key', 'geometry')
+      .right_join(vote, "key")
+     # .drop('key_right')
+     )
+# 20 of 23 counties have matches
+gdf = df.execute()
+import leafmap.maplibregl as leafmap
+m = leafmap.Map(style="positron")
+outcome = [
+      'match',
+      ['get', 'Status'],
+      "Pass", '#2E865F',
+      "Fail", '#FF3300',
+      '#ccc'
+    ]
+paint = {"fill-extrusion-color": outcome,
+         "fill-extrusion-opacity": 0.7,
+         "fill-extrusion-height": ["*", ["get", "amount_n"], .001],
+        }
+#m.add_geojson("vote.geojson")
+m.add_gdf(gdf, "fill-extrusion", paint = paint)
+m.to_streamlit()

static-maps.ipynb CHANGED Viewed

@@ -2,58 +2,132 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 21,
    "id": "b313a218-4778-4d5b-9036-f0370d4212a0",
    "metadata": {},
    "outputs": [],
    "source": [
     "import ibis\n",
     "from ibis import _\n",
-    "conn = ibis.duckdb.connect()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
    "id": "fbbd28ea-f1e3-4f3d-ab99-a2ae9b04f3d4",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
    "source": [
     "state_boundaries = \"https://data.source.coop/cboettig/us-boundaries/us-state-territory.parquet\"\n",
     "county_boundaries = \"https://data.source.coop/cboettig/us-boundaries/us-county.parquet\"\n",
     "\n",
-    "states = conn.read_parquet(state_boundaries).rename(State = \"STUSPS\")\n",
-    "county = conn.read_parquet(county_boundaries).rename(county = \"NAMELSAD\")\n",
     "\n",
-    "votes = conn.read_csv(\"measures.csv\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
-   "id": "0f818c94-af17-46a2-b47f-a729de75bd63",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "gdf = (votes\n",
-    "       .filter(votes[\"Jurisdiction Type\"] == \"County\")\n",
-    "       .rename(county = \"Jurisdiction Name\")\n",
-    "       .join(county, \"county\")\n",
-    "      )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
-   "id": "7729130e-7d0f-4b0e-b676-073643556134",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "afb9c4f5e69440e18ee15b7e73ae7dad",
        "version_major": 2,
        "version_minor": 0
       },
@@ -66,19 +140,37 @@
     }
    ],
    "source": [
-    "polygons = gdf.head().execute().set_crs(\"epsg:4326\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
    "id": "fa397626-6e94-4ab9-a3bb-2bcbd14e8d40",
-   "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3ccfd3dc22e74b078af4df85f4a7ead0",
        "version_major": 2,
        "version_minor": 1
       },
@@ -86,51 +178,31 @@
        "Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://tiles.openfree…"
       ]
      },
-     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "import leafmap.maplibregl as leafmap\n",
-    "outcome = {\n",
-    "    'fill-color': [\n",
     "      'match',\n",
-    "      ['get', 'Pass?'], \n",
-    "      \"True\", '#00FF00',\n",
-    "      \"False\", '#FFA07A', \n",
     "      '#ccc'\n",
-    "    ],\n",
-    "}\n",
-    "paint = {\"fill-color\": \"#00FF00\", \"fill-opacity\": 0.5 }\n",
-    "m = leafmap.Map(style=\"positron\")\n",
-    "m.add_gdf(polygons,\"fill\")\n",
     "m"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "id": "3b9f4c6b-c1d5-4750-80e0-d94ea047b8da",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/svg+xml": [
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-      ],
-      "text/plain": [
-       "<POLYGON ((-98.352 43.499, -98.352 43.499, -98.36 43.499, -98.371 43.499, -9...>"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "polygons.geometry.iloc[1]"
-   ]
   }
  ],
  "metadata": {

  "cells": [
   {
    "cell_type": "code",
+   "execution_count": 1,
    "id": "b313a218-4778-4d5b-9036-f0370d4212a0",
    "metadata": {},
    "outputs": [],
    "source": [
     "import ibis\n",
     "from ibis import _\n",
+    "conn = ibis.duckdb.connect(extensions=[\"spatial\"])"
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 73,
    "id": "fbbd28ea-f1e3-4f3d-ab99-a2ae9b04f3d4",
    "metadata": {
     "scrolled": true
    },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "74"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "state_boundaries = \"https://data.source.coop/cboettig/us-boundaries/us-state-territory.parquet\"\n",
     "county_boundaries = \"https://data.source.coop/cboettig/us-boundaries/us-county.parquet\"\n",
     "\n",
+    "states = conn.read_parquet(state_boundaries).rename(state_id = \"STUSPS\", state = \"NAME\")\n",
+    "county = conn.read_parquet(county_boundaries).rename(county = \"NAMELSAD\", state = \"STATE_NAME\")\n",
     "\n",
+    "votes = conn.read_csv(\"measures.csv\")\n",
+    "#votes.execute()\n",
+    "votes.count().execute()"
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 74,
+   "id": "f766d5ea-1a1b-4113-b985-f2014c8935c9",
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Jurisdiction Type</th>\n",
+       "      <th>n</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>County</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Municipal</td>\n",
+       "      <td>48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Special District</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>State</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Jurisdiction Type   n\n",
+       "0            County  23\n",
+       "1         Municipal  48\n",
+       "2  Special District   1\n",
+       "3             State   2"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
+    "#votes.group_by(_.State).agg(n= _.count()).execute()\n",
+    "votes.group_by(_[\"Jurisdiction Type\"]).agg(n= _.count()).execute()\n",
+    "#states.head().execute()"
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 95,
+   "id": "295b0b78-9c2a-436d-aa9c-34899858e637",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f05ac36b0a714711bf4dfaffa490e77a",
        "version_major": 2,
        "version_minor": 0
       },
     }
    ],
    "source": [
+    "vote = (votes\n",
+    "       .filter(_[\"Jurisdiction Type\"] == \"County\")\n",
+    "       .rename(county = \"Jurisdiction Name\", state_id = \"State\")\n",
+    "       .mutate(key = _.county + ibis.literal('-') + _.state_id)\n",
+    "       .rename(amount = 'Conservation Funds at Stake', yes = '% Yes')\n",
+    "       .mutate(amount_n=_.amount.replace('$', '').replace(',', '').cast('float'))\n",
+    "       .select('key', 'amount_n', 'amount', 'Status', 'yes')\n",
+    "       )\n",
+    "df = (county\n",
+    "      .join(states.select(\"state\", \"state_id\"), \"state\")\n",
+    "      .mutate(key = _.county + ibis.literal('-') + _.state_id)\n",
+    "      .select('key', 'geometry')\n",
+    "      .right_join(vote, \"key\")\n",
+    "     # .drop('key_right')\n",
+    "     )\n",
+    "# 20 of 23 counties have matches\n",
+    "gdf = df.execute()"
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 105,
    "id": "fa397626-6e94-4ab9-a3bb-2bcbd14e8d40",
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "88b0a65f5667445aae3f92aee70c9109",
        "version_major": 2,
        "version_minor": 1
       },
        "Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://tiles.openfree…"
       ]
      },
+     "execution_count": 105,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "import leafmap.maplibregl as leafmap\n",
+    "m = leafmap.Map(style=\"positron\")\n",
+    "\n",
+    "outcome = [\n",
     "      'match',\n",
+    "      ['get', 'Status'], \n",
+    "      \"Pass\", '#2E865F',\n",
+    "      \"Fail\", '#FF3300', \n",
     "      '#ccc'\n",
+    "    ]\n",
+    "paint = {\"fill-extrusion-color\": outcome, \n",
+    "         \"fill-extrusion-opacity\": 0.7,\n",
+    "         \"fill-extrusion-height\": [\"*\", [\"get\", \"amount_n\"], .001],\n",
+    "        }\n",
+    "\n",
+    "#m.add_geojson(\"vote.geojson\")\n",
+    "m.add_gdf(gdf, \"fill-extrusion\", paint = paint)\n",
     "m"
    ]
   }
  ],
  "metadata": {