urban-meal-delivery/research/02_gridification.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Gridification"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook runs the gridification script and creates all the pixels in the database."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[32murban-meal-delivery\u001b[0m, version \u001b[34m0.3.0\u001b[0m\n"
]
}
],
"source": [
"!umd --version"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Upgrade Database Schema"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This database migration also de-duplicates redundant addresses and removes obvious outliers."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%cd -q .."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"INFO [alembic.runtime.migration] Context impl PostgresqlImpl.\n",
"INFO [alembic.runtime.migration] Will assume transactional DDL.\n",
"INFO [alembic.runtime.migration] Running upgrade f11cd76d2f45 -> 888e352d7526, Add pixel grid.\n",
"INFO [alembic.runtime.migration] Running upgrade 888e352d7526 -> e40623e10405, Add demand forecasting.\n",
"INFO [alembic.runtime.migration] Running upgrade e40623e10405 -> 26711cd3f9b9, Add confidence intervals to forecasts.\n",
"INFO [alembic.runtime.migration] Running upgrade 26711cd3f9b9 -> e86290e7305e, Remove orders from restaurants with invalid location ...\n"
]
}
],
"source": [
"!alembic upgrade e86290e7305e"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create the Grids"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Put all restaurant locations in pixels."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3 cities retrieved from the database\n",
"\n",
"Creating grids for Lyon\n",
"Creating grid with a side length of 707 meters\n",
" -> created 62 pixels\n",
"Creating grid with a side length of 1000 meters\n",
" -> created 38 pixels\n",
"Creating grid with a side length of 1414 meters\n",
" -> created 24 pixels\n",
"=> assigned 358 out of 48058 addresses in Lyon\n",
"\n",
"Creating grids for Paris\n",
"Creating grid with a side length of 707 meters\n",
" -> created 199 pixels\n",
"Creating grid with a side length of 1000 meters\n",
" -> created 111 pixels\n",
"Creating grid with a side length of 1414 meters\n",
" -> created 66 pixels\n",
"=> assigned 1133 out of 108135 addresses in Paris\n",
"\n",
"Creating grids for Bordeaux\n",
"Creating grid with a side length of 707 meters\n",
" -> created 30 pixels\n",
"Creating grid with a side length of 1000 meters\n",
" -> created 22 pixels\n",
"Creating grid with a side length of 1414 meters\n",
" -> created 15 pixels\n",
"=> assigned 123 out of 21742 addresses in Bordeaux\n"
]
}
],
"source": [
"!umd gridify"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"%cd -q research"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.6"
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"nbformat": 4,
"nbformat_minor": 4
}