import streamlit as st from config import DEFAULT_ICON from shared_page import common_page_config from streamlit_filter import get_multiselect_for_df_column from queries.nflverse.github_data import get_nextgen_stats, get_current_tables, SEASON hide_columns = [ "season", "season_type", "player_gsis_id", "player_first_name", "player_last_name", "player_jersey_number", "player_short_name", ] def get_page(): page_title = f"Next Gen Stats - {SEASON}" st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide") common_page_config() st.title(page_title) stat_category = st.selectbox("Stat Category", ["Passing", "Rushing", "Receiving"]) ngs_table_name = f"nextgen_stats_ngs_{stat_category.lower()}" current_tables_list = get_current_tables() if ngs_table_name not in current_tables_list: st.write("Data not loaded.") st.write("Check loaded data [here](./Load_Data)") return data = get_nextgen_stats(SEASON, stat_category) season_or_week = st.selectbox("Season or Weekly Stats", ["Season", "Week"]) if season_or_week == "Season": data = data[data["week"] == 0] data.drop(columns=["week"], inplace=True) else: data = data[data["week"] > 0] week_selection = st.slider( "Filter Week Range:", min_value=data["week"].min(), max_value=data["week"].max(), value=(data["week"].min(), data["week"].max()), step=1, ) data = data[data["week"].between(*week_selection)] data.drop(columns=hide_columns, inplace=True) positions_selected = get_multiselect_for_df_column(data, "player_position") teams_selected = get_multiselect_for_df_column(data, "team_abbr") data = data[(data["player_position"].isin(positions_selected) & data["team_abbr"].isin(teams_selected))] with st.container(): filtered_data = data st.dataframe( filtered_data, hide_index=True, # height=35 * (len(filtered_data) + 1) + 12, use_container_width=False, column_config={}, ) if __name__ == "__main__": get_page()