global_func/get_portfolio_names.py

import streamlit as st
import numpy as np
import pandas as pd
import time
from rapidfuzz 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
    """
    player_columns = [col for col in portfolio_df.columns 
                     if col not in ['salary', 'median', 'Own', 'Dupes', 'Stack', 'Size', 'Finish%', 'Finish_percentile', 'Win%', 'Edge', 'Lineup Edge', 'Weighted Own', 'Geomean', 'Diversity', 'SE Score']]
    
    # 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)