I am building a real-time dashboard that plot latitude and longitude using st.map(df).
I was following this example here.
import streamlit as st import pandas as pd import numpy as np data = [[-33.71205471, 29.19017682], [-33.81205471, 29.11017682], [-34.71205471, 29.49017682]] df = pd.DataFrame(data, columns=['Latitude', 'Longitude']) st.map(df)
The plot works as intended but the data points are too large to distinguish between movements in latititude and longitude. Movements in lat and long have a 7 decimal place granularity (e.g. lat=166.1577634).
Here is an example in AWS QuickSight of how the points should look.
Any ideas how to reduce the size of the map circles for each respective data point?