test

app.py

@@ -5,16 +5,17 @@
 
 import ibis
 from ibis import _
-conn = ibis.duckdb.connect(extensions=["spatial"])
+import streamlit as st
 
+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")
+votes = conn.read_csv("landvote.csv")
+votes.count().execute()
 
 vote = (votes
        .filter(_["Jurisdiction Type"] == "County")
@@ -22,22 +23,22 @@ vote = (votes
        .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')
+       .mutate(log_amount=_.amount_n.log())
+       .mutate(year=_['Date'].year().cast('int32'))
+       .select('key', 'Status', 'yes', 'year', 'amount', 'log_amount', )
        )
 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')
+      .drop('key_right')
      )
-# 20 of 23 counties have matches
-gdf = df.execute()
 
+year = st.slider("Select a year", min_value=1988, max_value=2024, value=2022, step=1)
+gdf = df.filter(_.year==year).execute()
 
 
-import leafmap.maplibregl as leafmap
-m = leafmap.Map(style="positron")
 
 outcome = [
       'match',
@@ -48,9 +49,14 @@ outcome = [
     ]
 paint = {"fill-extrusion-color": outcome, 
          "fill-extrusion-opacity": 0.7,
-         "fill-extrusion-height": ["*", ["get", "amount_n"], .001],
+         "fill-extrusion-height": ["*", ["get", "log_amount"], 5000],
         }
 
 #m.add_geojson("vote.geojson")
+import leafmap.maplibregl as leafmap
+m = leafmap.Map(style="positron")
 m.add_gdf(gdf, "fill-extrusion", paint = paint)
 m.to_streamlit()
+
+
+

static-maps.ipynb

@@ -2,166 +2,48 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 124,
    "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": [
+    "import streamlit as st\n",
+    "\n",
+    "conn = ibis.duckdb.connect(extensions=[\"spatial\"])\n",
+    "\n",
     "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
-      },
-      "text/plain": [
-       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
+    "votes = conn.read_csv(\"landvote.csv\")\n",
+    "votes.count().execute()\n",
+    "\n",
     "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",
+    "       .mutate(log_amount=_.amount_n.log())\n",
+    "       .mutate(year=_['Date'].year().cast('int32'))\n",
+    "       .select('key', 'Status', 'yes', 'year', 'amount', 'log_amount', )\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",
+    "      .drop('key_right')\n",
     "     )\n",
-    "# 20 of 23 counties have matches\n",
-    "gdf = df.execute()"
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 133,
    "id": "fa397626-6e94-4ab9-a3bb-2bcbd14e8d40",
    "metadata": {
     "scrolled": true
@@ -170,7 +52,21 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "88b0a65f5667445aae3f92aee70c9109",
+       "model_id": "e447c30d35374eb4a1d0a28b83b78159",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b325fe101b644a36a48fb1ec7bc0fcd2",
        "version_major": 2,
        "version_minor": 1
       },
@@ -178,7 +74,7 @@
        "Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://tiles.openfree…"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 133,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -187,6 +83,9 @@
     "import leafmap.maplibregl as leafmap\n",
     "m = leafmap.Map(style=\"positron\")\n",
     "\n",
+    "\n",
+    "gdf = df.filter(_.year==2022).execute()\n",
+    "\n",
     "outcome = [\n",
     "      'match',\n",
     "      ['get', 'Status'], \n",
@@ -196,13 +95,35 @@
     "    ]\n",
     "paint = {\"fill-extrusion-color\": outcome, \n",
     "         \"fill-extrusion-opacity\": 0.7,\n",
-    "         \"fill-extrusion-height\": [\"*\", [\"get\", \"amount_n\"], .001],\n",
+    "         \"fill-extrusion-height\": [\"*\", [\"get\", \"log_amount\"], 5000],\n",
     "        }\n",
     "\n",
     "#m.add_geojson(\"vote.geojson\")\n",
     "m.add_gdf(gdf, \"fill-extrusion\", paint = paint)\n",
     "m"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "4f46a96e-e8ca-4c38-9164-08ab159e3832",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "19.90228528487658"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np \n",
+    "np.log(440000000)"
+   ]
   }
  ],
  "metadata": {