{
"metadata": {
"name": "",
"signature": "sha256:8ed40078e27491a3b3604490f01c0843aa53b6fc6a4116736b5c6d52731fdeca"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from pyspatial.vector import read_layer\n",
"from pyspatial.visualize import get_latlngs, HTMLMap\n",
"import cPickle as pickle\n",
"import pandas as pd\n",
"from pyspatial.utils import projection_from_epsg"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"vl, vldf = read_layer(\"../test/data/vector/cb_2014_us_state_20m.zip\", index=\"STUSPS\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Get a resonable center for the map\n",
"centroid = vl[\"KS\"].Centroid()\n",
"lng, lat, z = centroid.GetPoint()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Initialize the map\n",
"hmap = HTMLMap(lat, lng, data=vldf)\n",
"popup_text = [\"California\", \"New York\"]\n",
"hmap.add_markers(\"markers\", vl[[\"CA\", \"NY\"]], text=popup_text)\n",
"\n",
"# For styling refer to http://leafletjs.com/reference.html#path\n",
"hmap.add_shapes(\"shapes\", vl[[\"CA\", \"NY\"]], text=popup_text, style={\"fillColor\": \"red\"})\n",
"hmap.render_ipython()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": [
""
]
}
],
"prompt_number": 20
}
],
"metadata": {}
}
]
}