Try something like get_fill_color="[color_r, color_g, color_b, color_a]".
This example from awesome-streamlit.org.org should work
"""This app demonstrates the use of the awesome [deck.gl]() framework for visual
exploratory data analysis of large datasets.
Deck.gl is now (as of Streamlit v. 0.53) supported via the
[`st.pydeck_chart`](https://docs.streamlit.io/api.html?highlight=pydeck#streamlit.pydeck_chart)
function.
We use data from the
[Global Power Plant Database](http://datasets.wri.org/dataset/globalpowerplantdatabase) to
illustrate the locations, fuel types and capacities of the worlds power plants.
"""
import pathlib
import pandas as pd
import pydeck as pdk
import streamlit as st
POWER_PLANT_PATH = (
pathlib.Path.cwd() / "gallery/global_power_plant_database/global_power_plant_database.csv"
)
POWER_PLANT_URL = (
"https://raw.githubusercontent.com/MarcSkovMadsen/awesome-streamlit/master/"
"gallery/global_power_plant_database/global_power_plant_database.csv"
)
LATITUDE_COLUMN = "latitude"
LONGITUDE_COLUMN = "longitude"
LOCATIONS = {
"Orsted Copenhagen HQ": {"latitude": 55.676098, "longitude": 12.568337},
"Orsted Boston": {"latitude": 2.361145, "longitude": -71.057083},
}
ORSTED_CPH_HQ = LOCATIONS["Orsted Copenhagen HQ"]
FUEL_COLORS = {
"Oil": "black",
"Solar": "green",
"Gas": "black",
"Other": "gray",
"Hydro": "blue",
"Coal": "black",
"Petcoke": "black",
"Biomass": "green",
"Waste": "green",
"Cogeneration": "gray",
"Storage": "orange",
"Wind": "green",
}
COLORS_R = {"black": 0, "green": 0, "blue": 0, "orange": 255, "gray": 128}
COLORS_G = {"black": 0, "green": 128, "blue": 0, "orange": 165, "gray": 128}
COLORS_B = {"black": 0, "green": 0, "blue": 255, "orange": 0, "gray": 128}
class ViewStateComponent:
"""Component to let the user set the initial view state to for example Copenhagen or Boston"""
def __init__(self):
self.latitude = ORSTED_CPH_HQ["latitude"]
self.longitude = ORSTED_CPH_HQ["longitude"]
self.zoom = 1
self.pitch = 40.0
def edit_view(self):
"""Lets the user edit the attributes"""
location = st.sidebar.selectbox("Location", options=list(LOCATIONS.keys()), index=0)
self.latitude = LOCATIONS[location]["latitude"]
self.longitude = LOCATIONS[location]["longitude"]
self.zoom = st.sidebar.slider("Zoom", min_value=0, max_value=20, value=self.zoom)
self.pitch = st.sidebar.slider(
"Pitch", min_value=0.0, max_value=100.0, value=self.pitch, step=10.0
)
@property
def view_state(self) -> pdk.ViewState:
"""The ViewState according to the attributes
Returns:
pdk.ViewState -- [description]
"""
return pdk.ViewState(
longitude=self.longitude,
latitude=self.latitude,
zoom=self.zoom,
min_zoom=0,
max_zoom=15,
pitch=self.pitch,
# bearing=-27.36,
)
class GlobalPowerPlantDatabaseApp:
"""The main app showing the Global Power Plant Database"""
def __init__(self):
self.view_state_component = ViewStateComponent()
self.data = self.get_data()
self.show_data = False
@staticmethod
@st.cache
def get_data() -> pd.DataFrame:
"""The Global Power Plant data
Returns:
pd.DataFrame -- The Global Power Plant data cleaned and transformed
"""
try:
data = pd.read_csv(POWER_PLANT_PATH)
except FileNotFoundError:
data = pd.read_csv(POWER_PLANT_URL)
# Clean
data.primary_fuel = data.primary_fuel.fillna("NA")
data.capacity_mw = data.capacity_mw.fillna(1)
# Transform
data["primary_fuel_color"] = data.primary_fuel.map(FUEL_COLORS)
data["primary_fuel_color"] = data["primary_fuel_color"].fillna("gray")
data["color_r"] = data["primary_fuel_color"].map(COLORS_R)
data["color_g"] = data["primary_fuel_color"].map(COLORS_G)
data["color_b"] = data["primary_fuel_color"].map(COLORS_B)
data["color_a"] = 140
return data[
[
"capacity_mw",
LATITUDE_COLUMN,
LONGITUDE_COLUMN,
"primary_fuel_color",
"color_r",
"color_g",
"color_b",
"color_a",
]
]
def _scatter_plotter_layer(self):
return pdk.Layer(
"ScatterplotLayer",
data=self.data,
get_position=[LONGITUDE_COLUMN, LATITUDE_COLUMN],
get_fill_color="[color_r, color_g, color_b, color_a]",
get_radius="capacity_mw*10",
pickable=True,
opacity=0.8,
stroked=False,
filled=True,
wireframe=True,
)
def _deck(self):
return pdk.Deck(
map_style="mapbox://styles/mapbox/light-v9",
initial_view_state=self.view_state_component.view_state,
layers=[self._scatter_plotter_layer()],
tooltip={"html": "<b>Color Value:</b> {primary_fuel}", "style": {"color": "white"}},
)
def view(self):
"""Main view of the app"""
# self.view_state_component.edit_view() # Does not work
st.write(__doc__)
st.pydeck_chart(self._deck())
st.write(
"""The maps shows the power plant
- **location** by latitude, longitude coordinates
- **fuel type** by color and
- **capacity in MW** by bubble size
"""
)
st.json(FUEL_COLORS)
st.write(
"""Unfortunately **tooltips are not supported**. And there are also other issues.
See
- [Issue 984](https://github.com/streamlit/streamlit/issues/984)
- [Issue 985](https://github.com/streamlit/streamlit/issues/985)"""
)
APP = GlobalPowerPlantDatabaseApp()
APP.view()