Pydeck！空间数据可视化神器！

# 安装
pip install pydeck -i https://mirror.baidu.com/pypi/simple

# 启用Pydeck
jupyter nbextension install --sys-prefix --symlink --overwrite --py pydeck
jupyter nbextension enable --sys-prefix --py pydeck

import pydeck as pdk
import pandas as pd

DATA_URL = "https://raw.githubusercontent.com/ajduberstein/sf_public_data/master/bay_area_commute_routes.csv"
# A bounding box for downtown San Francisco, to help filter this commuter data
DOWNTOWN_BOUNDING_BOX = [
    -122.43135291617365,
    37.766492914983864,
    -122.38706428091974,
    37.80583561830737,
]


def in_bounding_box(point):
    """Determine whether a point is in our downtown bounding box"""
    lng, lat = point
    in_lng_bounds = DOWNTOWN_BOUNDING_BOX[0] <= lng <= DOWNTOWN_BOUNDING_BOX[2]
    in_lat_bounds = DOWNTOWN_BOUNDING_BOX[1] <= lat <= DOWNTOWN_BOUNDING_BOX[3]
    return in_lng_bounds and in_lat_bounds


df = pd.read_csv(DATA_URL)
# Filter to bounding box
df = df[df[["lng_w", "lat_w"]].apply(lambda row: in_bounding_box(row), axis=1)]

GREEN_RGB = [0, 255, 0, 40]
RED_RGB = [240, 100, 0, 40]

# Specify a deck.gl ArcLayer
arc_layer = pdk.Layer(
    "ArcLayer",
    data=df,
    get_width="S000 * 2",
    get_source_position=["lng_h", "lat_h"],
    get_target_position=["lng_w", "lat_w"],
    get_tilt=15,
    get_source_color=RED_RGB,
    get_target_color=GREEN_RGB,
    pickable=True,
    auto_highlight=True,
)

view_state = pdk.ViewState(latitude=37.7576171, longitude=-122.5776844, bearing=45, pitch=50, zoom=8,)


TOOLTIP_TEXT = {"html": "{S000} jobs  Home of commuter in red; work location in green"}
r = pdk.Deck(arc_layer, initial_view_state=view_state, tooltip=TOOLTIP_TEXT)
r.to_html("arc_layer.html")

import pydeck as pdk

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)

r.to_html("geojson_layer.html")

import pydeck as pdk
import pandas as pd


# Data from OpenStreetMap, accessed via osmpy
DATA_URL = "https://raw.githubusercontent.com/ajduberstein/geo_datasets/master/biergartens.json"
ICON_URL = "https://upload.wikimedia.org/wikipedia/commons/c/c4/Projet_bi%C3%A8re_logo_v2.png"

icon_data = {
    # Icon from Wikimedia, used the Creative Commons Attribution-Share Alike 3.0
    # Unported, 2.5 Generic, 2.0 Generic and 1.0 Generic licenses
    "url": ICON_URL,
    "width": 242,
    "height": 242,
    "anchorY": 242,
}

data = pd.read_json(DATA_URL)
data["icon_data"] = None
for i in data.index:
    data["icon_data"][i] = icon_data

view_state = pdk.data_utils.compute_view(data[["lon", "lat"]], 0.1)

icon_layer = pdk.Layer(
    type="IconLayer",
    data=data,
    get_icon="icon_data",
    get_size=4,
    size_scale=15,
    get_position=["lon", "lat"],
    pickable=True,
)

r = pdk.Deck(layers=[icon_layer], initial_view_state=view_state, tooltip={"text": "{tags}"})
r.to_html("icon_layer.html")

import pydeck as pdk

DATA_URL = {
    "AIRPORTS": "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/line/airports.json",
    "FLIGHT_PATHS": "https://raw.githubusercontent.com/visgl/deck.gl-data/master/examples/line/heathrow-flights.json",  # noqa
}

INITIAL_VIEW_STATE = pdk.ViewState(latitude=47.65, longitude=7, zoom=4.5, max_zoom=16, pitch=50, bearing=0)

# RGBA value generated in Javascript by deck.gl's Javascript expression parser
GET_COLOR_JS = [
    "255 * (1 - (start[2] / 10000) * 2)",
    "128 * (start[2] / 10000)",
    "255 * (start[2] / 10000)",
    "255 * (1 - (start[2] / 10000))",
]

scatterplot = pdk.Layer(
    "ScatterplotLayer",
    DATA_URL["AIRPORTS"],
    radius_scale=20,
    get_position="coordinates",
    get_fill_color=[255, 140, 0],
    get_radius=60,
    pickable=True,
)

line_layer = pdk.Layer(
    "LineLayer",
    DATA_URL["FLIGHT_PATHS"],
    get_source_position="start",
    get_target_position="end",
    get_color=GET_COLOR_JS,
    get_width=10,
    highlight_color=[255, 255, 0],
    picking_radius=10,
    auto_highlight=True,
    pickable=True,
)

layers = [scatterplot, line_layer]

r = pdk.Deck(layers=layers, initial_view_state=INITIAL_VIEW_STATE)
r.to_html("line_layer.html")

import pandas as pd
import pydeck as pdk

DATA_URL = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/website/bart-lines.json"
df = pd.read_json(DATA_URL)


def hex_to_rgb(h):
    h = h.lstrip("#")
    return tuple(int(h[i : i + 2], 16) for i in (0, 2, 4))


df["color"] = df["color"].apply(hex_to_rgb)


view_state = pdk.ViewState(latitude=37.782556, longitude=-122.3484867, zoom=10)

layer = pdk.Layer(
    type="PathLayer",
    data=df,
    pickable=True,
    get_color="color",
    width_scale=20,
    width_min_pixels=2,
    get_path="path",
    get_width=5,
)

r = pdk.Deck(layers=[layer], initial_view_state=view_state, tooltip={"text": "{name}"})
r.to_html("path_layer.html")

import pydeck as pdk
import pandas as pd
import math

SCATTERPLOT_LAYER_DATA = "https://raw.githubusercontent.com/visgl/deck.gl-data/master/website/bart-stations.json"
df = pd.read_json(SCATTERPLOT_LAYER_DATA)

# Use pandas to calculate additional data
df["exits_radius"] = df["exits"].apply(lambda exits_count: math.sqrt(exits_count))

# Define a layer to display on a map
layer = pdk.Layer(
    "ScatterplotLayer",
    df,
    pickable=True,
    opacity=0.8,
    stroked=True,
    filled=True,
    radius_scale=6,
    radius_min_pixels=1,
    radius_max_pixels=100,
    line_width_min_pixels=1,
    get_position="coordinates",
    get_radius="exits_radius",
    get_fill_color=[255, 140, 0],
    get_line_color=[0, 0, 0],
)

# Set the viewport location
view_state = pdk.ViewState(latitude=37.7749295, longitude=-122.4194155, zoom=10, bearing=0, pitch=0)

# Render
r = pdk.Deck(layers=[layer], initial_view_state=view_state, tooltip={"text": "{name}\n{address}"})
r.to_html("scatterplot_layer.html")

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