{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from memair import Memair\n",
"# Use Otto the sandbox user's access token or create your own at https://memair.com/temporary_access_token\n",
"access_token = '0000000000000000000000000000000000000000000000000000000000000000'\n",
"\n",
"user = Memair(access_token)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'10000 locations'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"query = '''\n",
" {\n",
" Locations(\n",
" first: 10000\n",
" within: \"40.7587,-73.9787,8000\"\n",
" from_timestamp: \"2018-05-01\"\n",
" order: random\n",
" ) {\n",
" lat\n",
" lon\n",
" }\n",
" }\n",
"\n",
"'''\n",
"response = user.query(query)\n",
"\n",
"locations = response['data']['Locations']\n",
"f\"{len(locations)} locations\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import folium\n",
"from folium.plugins import HeatMap\n",
"\n",
"data = [ [loc['lat'], loc['lon'], 1] for loc in locations ]\n",
" \n",
"folium_heatmap = folium.Map(location = [40.7587, -73.9787],\n",
" zoom_start = 12,\n",
" tiles = \"CartoDB positron\")\n",
"\n",
"HeatMap(data).add_to(folium_heatmap)\n",
"folium_heatmap"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.7.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}