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import streamlit as st

import pandas as pd

import numpy as np

def get_data():

df = pd.DataFrame(

{

"lat": np.random.randn(200) / 50 + 37.76,

"lon": np.random.randn(200) / 50 + -122.4,

"team": ["A", "B"] * 100,

}

)

return df

if st.button("Generate new points"):

st.session_state.df = get_data()

if "df" not in st.session_state:

st.session_state.df = get_data()

df = st.session_state.df

with st.form("my_form"):

header = st.columns([1, 2, 2])

header[0].subheader("Color")

header[1].subheader("Opacity")

header[2].subheader("Size")

row1 = st.columns([1, 2, 2])

colorA = row1[0].color_picker("Team A", "#0000FF")

opacityA = row1[1].slider("A opacity", 20, 100, 50, label_visibility="hidden")

sizeA = row1[2].slider("A size", 50, 200, 100, step=10, label_visibility="hidden")

row2 = st.columns([1, 2, 2])

colorB = row2[0].color_picker("Team B", "#FF0000")

opacityB = row2[1].slider("B opacity", 20, 100, 50, label_visibility="hidden")

sizeB = row2[2].slider("B size", 50, 200, 100, step=10, label_visibility="hidden")

st.form_submit_button("Update map")

alphaA = int(opacityA * 255 / 100)

alphaB = int(opacityB * 255 / 100)

df["color"] = np.where(

df.team == "A", colorA + f"{alphaA:02x}", colorB + f"{alphaB:02x}"

)

df["size"] = np.where(df.team == "A", sizeA, sizeB)

st.map(df, size="size", color="color")