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Sleeping
import os | |
import streamlit as st | |
import pandas as pd | |
LEAGUE_NAME = "LOFG" | |
DATA_URL = "../tests/mocks/2023_keepers.csv" | |
def load_data(): | |
data = pd.read_csv(os.path.join(os.path.dirname(__file__), DATA_URL), index_col=0) | |
# Hack to get position, replace with better position from yahoo api in future | |
data["position"] = data["eligible_positions"].apply(lambda x: eval(x)[0]) | |
data.columns = data.columns.str.lower() | |
return data | |
def get_app(): | |
st.title(f"{LEAGUE_NAME} Keeper Options") | |
data_load_state = st.text("Loading data...") | |
data = load_data() | |
data_load_state.text("Data loaded") | |
raw_display_columns = [ | |
"player_id", | |
"name", | |
"position", | |
"team_name", | |
"years_eligible", | |
"keeper_cost", | |
"eligible", | |
] | |
st.subheader("Raw data") | |
st.write(data[raw_display_columns]) | |
if __name__ == "__main__": | |
get_app() | |