import logging import streamlit as st from pandas import DataFrame def has_basic_data() -> bool: """ Check here if required session values exist. They are defined in Main page. :return: """ return 'race data' in st.session_state and 'all race distances' in st.session_state def filte...
import logging import streamlit as st from pandas import DataFrame def has_basic_data() -> bool: """ Check here if required session values exist. They are defined in Main page. :return: """ return 'race data' in st.session_state and 'all race distances' in st.session_state def filte...
import logging import streamlit as st from pandas import DataFrame def has_basic_data() -> bool: """ Check here if required session values exist. They are defined in Main page. :return: """ return 'race data' in st.session_state and 'all race distances' in st.session_state def filte...
import logging import streamlit as st from pandas import DataFrame def has_basic_data() -> bool: """ Check here if required session values exist. They are defined in Main page. :return: """ return 'race data' in st.session_state and 'all race distances' in st.session_state def filte...
Addstreamlit-elements==0.1.0to your requirements file, update the dependencies, and run the application like you ran the NYRR app in Streamlit. Now you only need to hover your mouse to give a qualitative answer about how your coffee tastes. ...
Addstreamlit-elements==0.1.0to your requirements file, update the dependencies, and run the application like you ran the NYRR app in Streamlit. Now you only need to hover your mouse to give a qualitative answer about how your coffee tastes. ...