Simple pydeck deck.gl Scatterplot layer

deck.py

import pydeck as pdk
import pandas as pd
import numpy as np 

### sample data 
import duckdb
import geopandas
df = duckdb.sql(f"SELECT * FROM 'geonames_23_03_2025.parquet' WHERE \"1\" = 'London' \
                AND \"8\" = 'GB'  ").df()
gdf = geopandas.GeoDataFrame(
    df,
    geometry=geopandas.points_from_xy(x=df["5"], y=df["4"])
)
gdf
###

# load some gdf
gdf["coordinates"] = gdf.apply(lambda x: [x.geometry.x, x.geometry.y], axis=1)

# Define a layer to display on a map
layer = pdk.Layer(
    "ScatterplotLayer",
                # coordinates is an array 
    gdf[["name","coordinates"]], # super important! only pass what's needed. If geometry column from geopandas is passed, error!
    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="1",
    get_fill_color=[255, 140, 0],
    get_line_color=[255, 140, 0],
)

# Set the viewport location
view_state = pdk.ViewState(latitude=np.mean(gdf.geometry.y), longitude=np.mean(gdf.geometry.x), zoom=12, bearing=0, pitch=0)

# Render
r = pdk.Deck(layers=[layer], initial_view_state=view_state,height=2000, tooltip={"text": "{name}"})
r.to_html("scatterplot_layer.html")