Merge 42db261 into ecc5c71

bindings/pydeck/examples/point_cloud_layer.py

@@ -0,0 +1,29 @@
+import pydeck
+import pandas as pd
+
+
+DATA_URL = "https://raw.githubusercontent.com/ajduberstein/geo_datasets/master/small_waterfall.csv"
+df = pd.read_csv(DATA_URL)
+
+target = [df.x.mean(), df.y.mean(), df.z.mean()]
+
+point_cloud_layer = pydeck.Layer(
+    "PointCloudLayer",
+    data=DATA_URL,
+    get_position=["x", "y", "z"],
+    get_color=["r", "g", "b"],
+    get_normal=[0, 0, 15],
+    auto_highlight=True,
+    pickable=True,
+    point_size=3,
+)
+
+view_state = pydeck.ViewState(
+    target=target, controller=True, rotation_x=15, rotation_orbit=30, zoom=5.3
+)
+view = pydeck.View(type="OrbitView", controller=True)
+
+r = pydeck.Deck(point_cloud_layer, initial_view_state=view_state, views=[view])
+r.to_html(
+    "point_cloud_layer.html", css_background_color="#add8e6", notebook_display=False
+)

bindings/pydeck/examples/polygon_layer.py

@@ -0,0 +1,123 @@
+import math
+
+import pydeck
+import pandas as pd
+
+# Load in the JSON data
+DATA_URL = "https://raw.githubusercontent.com/uber-common/deck.gl-data/master/examples/geojson/vancouver-blocks.json"
+json = pd.read_json(DATA_URL)
+df = pd.DataFrame()
+
+# Custom color scale
+COLOR_RANGE = [
+    [65, 182, 196],
+    [127, 205, 187],
+    [199, 233, 180],
+    [237, 248, 177],
+    [255, 255, 204],
+    [255, 237, 160],
+    [254, 217, 118],
+    [254, 178, 76],
+    [253, 141, 60],
+    [252, 78, 42],
+    [227, 26, 28],
+    [189, 0, 38],
+    [128, 0, 38],
+]
+
+BREAKS = [-0.6, -0.45, -0.3, -0.15, 0, 0.15, 0.3, 0.45, 0.6, 0.75, 0.9, 1.05, 1.2]
+
+
+def color_scale(val):
+    for i, b in enumerate(BREAKS):
+        if val < b:
+            return COLOR_RANGE[i]
+    return COLOR_RANGE[i]
+
+
+def calculate_elevation(val):
+    return math.sqrt(val) * 10
+
+
+# Parse the geometry out in Pandas
+df["coordinates"] = json["features"].apply(lambda row: row["geometry"]["coordinates"])
+df["valuePerSqm"] = json["features"].apply(lambda row: row["properties"]["valuePerSqm"])
+df["growth"] = json["features"].apply(lambda row: row["properties"]["growth"])
+df["elevation"] = json["features"].apply(
+    lambda row: calculate_elevation(row["properties"]["valuePerSqm"])
+)
+df["fill_color"] = json["features"].apply(
+    lambda row: color_scale(row["properties"]["growth"])
+)
+
+# Add sunlight shadow to the polygons
+sunlight = {
+    "@@type": "SunLight",
+    "timestamp": 1564696800000,  # Date.UTC(2019, 7, 1, 22),
+    "color": [255, 255, 255],
+    "intensity": 1.0,
+    "_shadow": True,
+}
+
+ambient_light = {"@@type": "AmbientLight", "color": [255, 255, 255], "intensity": 1.0}
+
+lighting_effect = {
+    "@@type": "LightingEffect",
+    "shadowColor": [0, 0, 0, 0.5],
+    "ambientLight": ambient_light,
+    "directionalLights": [sunlight],
+}
+
+view_state = pydeck.ViewState(
+    **{
+        "latitude": 49.254,
+        "longitude": -123.13,
+        "zoom": 11,
+        "maxZoom": 16,
+        "pitch": 45,
+        "bearing": 0,
+    }
+)
+
+LAND_COVER = [
+    [[-123.0, 49.196], [-123.0, 49.324], [-123.306, 49.324], [-123.306, 49.196]]
+]
+
+polygon_layer = pydeck.Layer(
+    "PolygonLayer",
+    LAND_COVER,
+    stroked=False,
+    # processes the data as a flat longitude-latitude pair
+    get_polygon="-",
+    get_fill_color=[0, 0, 0, 20],
+)
+
+polygon_layer = pydeck.Layer(
+    "PolygonLayer",
+    df,
+    id="geojson",
+    opacity=0.8,
+    stroked=False,
+    get_polygon="coordinates",
+    filled=True,
+    extruded=True,
+    wireframe=True,
+    get_elevation="elevation",
+    get_fill_color="fill_color",
+    get_line_color=[255, 255, 255],
+    auto_highlight=True,
+    pickable=True,
+)
+
+tooltip = {
+    "html": "<b>Value per Square Meter:</b> {valuePerSqm} <br /><b>Growth rate:</b> {growth}"
+}
+
+r = pydeck.Deck(
+    polygon_layer,
+    initial_view_state=view_state,
+    effects=[lighting_effect],
+    map_style="mapbox://styles/mapbox/light-v9",
+    tooltip=tooltip,
+)
+r.to_html("polygon_layer.html", notebook_display=False)