Initial commit

experiments/vector_tiles.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d3e03ab2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a9210f39",
+   "metadata": {},
+   "source": [
+    "# This is required for tippecanoe to guess the proper types for the fields"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1cd097e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tippecanoe_df_types = pd.DataFrame(da_df_cop_df.dtypes)\n",
+    "\n",
+    "attributes_types = [] \n",
+    "for row in tippecanoe_df_types.itertuples():\n",
+    "    # This is what it should look like --attribute-type=count_total_1:int\n",
+    "    column_name = row[0]\n",
+    "    column_type = str(row[1])\n",
+    "    \n",
+    "    if 'Int' in column_type:\n",
+    "        parameter = f\"--attribute-type={column_name}:int\"\n",
+    "        attributes_types.append(parameter)\n",
+    "    elif 'Float' in column_type:\n",
+    "        parameter = f\"--attribute-type={column_name}:float\"\n",
+    "        attributes_types.append(parameter)   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d8b20754",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'attributes_types' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[43mattributes_types\u001b[49m))\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'attributes_types' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "print(' '.join(attributes_types))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "160d5b8f",
+   "metadata": {},
+   "source": [
+    "# Then we edit the metadata for the generated vector tiles to remove the long generator_options\n",
+    "\n",
+    "Edit metadata.json and remove generator_options\n",
+    "```\n",
+    "pmtiles show test.pmtiles --metadata > metadata.json\n",
+    "pmtiles edit test.pmtiles --metadata=metadata.json\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9280e3d2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}