Spaces:
Running
Running
File size: 4,809 Bytes
9ad0e2d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 |
import os
import streamlit as st
import pydeck as pdk
import pandas as pd
def globe_view():
"""
GlobeView
=========
Over 33,000 power plants of the world plotted by their production capacity (given by height)
and fuel type (green if renewable) on an experimental deck.gl GlobeView.
"""
COUNTRIES = "https://d2ad6b4ur7yvpq.cloudfront.net/naturalearth-3.3.0/ne_50m_admin_0_scale_rank.geojson"
POWER_PLANTS = "https://raw.githubusercontent.com/ajduberstein/geo_datasets/master/global_power_plant_database.csv"
df = pd.read_csv(POWER_PLANTS)
def is_green(fuel_type):
"""Return a green RGB value if a facility uses a renewable fuel type"""
if fuel_type.lower() in (
"nuclear",
"water",
"wind",
"hydro",
"biomass",
"solar",
"geothermal",
):
return [10, 230, 120]
return [230, 158, 10]
df["color"] = df["primary_fuel"].apply(is_green)
view_state = pdk.ViewState(latitude=51.47, longitude=0.45, zoom=2, min_zoom=2)
# Set height and width variables
view = pdk.View(type="_GlobeView", controller=True, width=1000, height=700)
layers = [
pdk.Layer(
"GeoJsonLayer",
id="base-map",
data=COUNTRIES,
stroked=False,
filled=True,
get_fill_color=[200, 200, 200],
),
pdk.Layer(
"ColumnLayer",
id="power-plant",
data=df,
get_elevation="capacity_mw",
get_position=["longitude", "latitude"],
elevation_scale=100,
pickable=True,
auto_highlight=True,
radius=20000,
get_fill_color="color",
),
]
r = pdk.Deck(
views=[view],
initial_view_state=view_state,
tooltip={"text": "{name}, {primary_fuel} plant, {country}"},
layers=layers,
# Note that this must be set for the globe to be opaque
parameters={"cull": True},
)
return r
def geojson_layer():
"""
GeoJsonLayer
===========
Property values in Vancouver, Canada, adapted from the deck.gl example pages. Input data is in a GeoJSON format.
"""
DATA_URL = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/geojson/vancouver-blocks.json"
LAND_COVER = [
[[-123.0, 49.196], [-123.0, 49.324], [-123.306, 49.324], [-123.306, 49.196]]
]
INITIAL_VIEW_STATE = pdk.ViewState(
latitude=49.254, longitude=-123.13, zoom=11, max_zoom=16, pitch=45, bearing=0
)
polygon = pdk.Layer(
"PolygonLayer",
LAND_COVER,
stroked=False,
# processes the data as a flat longitude-latitude pair
get_polygon="-",
get_fill_color=[0, 0, 0, 20],
)
geojson = pdk.Layer(
"GeoJsonLayer",
DATA_URL,
opacity=0.8,
stroked=False,
filled=True,
extruded=True,
wireframe=True,
get_elevation="properties.valuePerSqm / 20",
get_fill_color="[255, 255, properties.growth * 255]",
get_line_color=[255, 255, 255],
)
r = pdk.Deck(layers=[polygon, geojson], initial_view_state=INITIAL_VIEW_STATE)
return r
def terrain():
"""
TerrainLayer
===========
Extruded terrain using AWS Open Data Terrain Tiles and Mapbox Satellite imagery
"""
# Import Mapbox API Key from environment
MAPBOX_API_KEY = os.environ["MAPBOX_API_KEY"]
# AWS Open Data Terrain Tiles
TERRAIN_IMAGE = (
"https://s3.amazonaws.com/elevation-tiles-prod/terrarium/{z}/{x}/{y}.png"
)
# Define how to parse elevation tiles
ELEVATION_DECODER = {
"rScaler": 256,
"gScaler": 1,
"bScaler": 1 / 256,
"offset": -32768,
}
SURFACE_IMAGE = f"https://api.mapbox.com/v4/mapbox.satellite/{{z}}/{{x}}/{{y}}@2x.png?access_token={MAPBOX_API_KEY}"
terrain_layer = pdk.Layer(
"TerrainLayer",
elevation_decoder=ELEVATION_DECODER,
texture=SURFACE_IMAGE,
elevation_data=TERRAIN_IMAGE,
)
view_state = pdk.ViewState(
latitude=46.24, longitude=-122.18, zoom=11.5, bearing=140, pitch=60
)
r = pdk.Deck(terrain_layer, initial_view_state=view_state)
return r
def app():
st.title("Pydeck Gallery")
options = ["GeoJsonLayer", "GlobeView", "TerrainLayer"]
option = st.selectbox("Select a pydeck layer type", options)
if option == "GeoJsonLayer":
st.header("Property values in Vancouver, Canada")
st.pydeck_chart(geojson_layer())
# elif option == "GlobeView":
# st.pydeck_chart(globe_view())
elif option == "TerrainLayer":
st.pydeck_chart(terrain())
|