import streamlit as st import numpy as np import pandas as pd import time from fuzzywuzzy import process def get_portfolio_names(portfolio_df): """ Get all unique names from the portfolio dataframe's player columns. Args: portfolio_df: DataFrame containing portfolio data Returns: list: List of unique player names """ # Get columns that contain player names (excluding non-player columns) player_columns = [col for col in portfolio_df.columns if col not in ['salary', 'median', 'Own']] # Get all unique values from these columns unique_names = portfolio_df[player_columns].values.flatten() unique_names = pd.unique(unique_names) # Remove duplicates unique_names = unique_names[~pd.isna(unique_names)] # Remove any NaN values return list(unique_names)