{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "54d23f3c-34cb-489a-b081-2c8b74b533b2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The geodata is provided by © OpenStreetMap contributors and is made available here under the Open Database License (ODbL).\n"
]
}
],
"source": [
"from lets_plot import *\n",
"from lets_plot.geo_data import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "bf529b2d-1a39-46e8-9db7-d65d6f5efe15",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "markdown",
"id": "61304554-1994-47b2-bf0c-8ca6ef3dab53",
"metadata": {},
"source": [
"##### Utils"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "e4610759-1fdd-413e-8add-63ed82990591",
"metadata": {},
"outputs": [],
"source": [
"# to set up a projection using a non-public parameter\n",
"from lets_plot.plot.coord import _coord as coord\n",
"\n",
"p = ggplot() + xlim(-180, 180) + ylim(-90, 90) + theme(axis=element_blank())\n",
"\n",
"def dump_plot(plot):\n",
" import json\n",
" import clipboard\n",
" from lets_plot._type_utils import standardize_dict\n",
" \n",
" plot_dict = standardize_dict(plot.as_dict())\n",
" plot_json = json.dumps(plot_dict, indent=2)\n",
"\n",
" clipboard.copy('')\n",
" clipboard.copy(str(plot_json))\n",
"\n",
" return plot"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b485c37a-d668-4c04-bd05-70726c095952",
"metadata": {},
"outputs": [],
"source": [
"world = geocode_countries().get_boundaries(3)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e02c58f8-2874-4bef-bd9a-c5d691e90481",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def draw_world_map(proj):\n",
" return p \\\n",
" + geom_map(map=world, fill='#E0E0E0', color='#C0C0C0', size=0.5) \\\n",
" + coord('map', projection=proj) \\\n",
" + ggtitle(proj) \\\n",
" + theme(panel_grid=element_blank())\n",
" \n",
"gggrid([\n",
" draw_world_map('merkator'),\n",
" draw_world_map('azimuthal'),\n",
" draw_world_map('conic'),\n",
"])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "469afa66-45f4-45ba-9afa-a8b75746ca2c",
"metadata": {},
"outputs": [],
"source": [
"from geopandas import GeoDataFrame\n",
"from shapely.geometry import Point\n",
"from shapely.geometry import MultiPolygon, Polygon, MultiLineString, LineString, LinearRing, Point, mapping\n",
"\n",
"graticule = GeoDataFrame(\n",
" data = {\n",
" 'coord': [\n",
" LineString([(-180, 0), (0, 0), (0, 0), (180, 0)]),\n",
"\n",
" LineString([(-180, 30), (0, 30)]), LineString([(0, 30), (180, 30)]),\n",
" LineString([(-180, -30), (0, -30)]), LineString([(0, -30), (180, -30)]),\n",
" \n",
" LineString([(-180, 60), (0, 60)]), LineString([(0, 60), (180, 60)]),\n",
" LineString([(-180, -60), (0, -60)]), LineString([(0, -60), (180, -60)]),\n",
" \n",
" LineString([(-180, 90), (0, 90)]), LineString([(0, 90), (180, 90)]),\n",
" LineString([(-180, -90), (0, -90)]), LineString([(0, -90), (180, -90)]),\n",
" \n",
" LineString([(0, -90), (0, 90)]),\n",
" LineString([(30, -90), (30, 90)]),\n",
" LineString([(60, -90), (60, 90)]),\n",
" LineString([(90, -90), (90, 90)]),\n",
" LineString([(120, -90), (120, 90)]),\n",
" LineString([(150, -90), (150, 90)]),\n",
" LineString([(180, -90), (180, 90)]),\n",
" \n",
" LineString([(-30, -90), (-30, 90)]),\n",
" LineString([(-60, -90), (-60, 90)]),\n",
" LineString([(-90, -90), (-90, 90)]),\n",
" LineString([(-120, -90), (-120, 90)]),\n",
" LineString([(-150, -90), (-150, 90)]),\n",
" LineString([(-180, -90), (-180, 90)]),\n",
" ]},\n",
" geometry='coord'\n",
")\n",
"\n",
"def show_graticule(projection):\n",
" return gggrid([\n",
" p + geom_path() + coord('map', projection=projection) + ggtitle('Empty'),\n",
" p + geom_path(map=graticule) + coord('map', projection=projection) + ggtitle('Graticule'),\n",
" ])"
]
},
{
"cell_type": "markdown",
"id": "1dcbac1d-19a1-4a3f-94d8-bf7584aa49cd",
"metadata": {},
"source": [
"## Mercator"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "782e4d80-65d8-42d7-a887-bb319bc5f6ce",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show_graticule('mercator')"
]
},
{
"cell_type": "markdown",
"id": "26dca88d-66d5-4e0c-9bf0-745e0d6045ec",
"metadata": {},
"source": [
"## Azimuthal"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "f0563dfc-42af-474a-8f04-eebfca4ebdd9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show_graticule('azimuthal')"
]
},
{
"cell_type": "markdown",
"id": "7be9afb3-c752-4494-835e-b806eae904cf",
"metadata": {},
"source": [
"## Conic"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "a0e7602c-6bee-44fd-bba1-f0d7a103dc44",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show_graticule('conic')"
]
},
{
"cell_type": "markdown",
"id": "464b14b7-09ae-4b08-9598-5f8429fd1782",
"metadata": {},
"source": [
"### Issues"
]
},
{
"cell_type": "markdown",
"id": "98eabdbe-c12f-46c3-93ed-e2a76dffa164",
"metadata": {},
"source": [
"Axis ticks and breaks looking strange"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "334f8c9e-bbd0-4e63-8a29-f702b74e7cd6",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gggrid([\n",
" draw_world_map('azimuthal') + theme_minimal2(),\n",
" draw_world_map('conic') + theme_minimal2()\n",
"])"
]
}
],
"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": "3.8.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}