James McCool
Refactor import statements across multiple files to replace 'fuzzywuzzy' with 'rapidfuzz' for improved performance and consistency in string matching functionality. Additionally, clean up unused imports in app.py and related global functions to enhance code clarity and maintainability.
d9db89f
| 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 | |
| """ | |
| # 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) |