import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

def compare_tickers(tickers: list):
    combined_df = pd.DataFrame()

    for ticker in tickers:
        filepath = f'Companies_Data/{ticker}_Data/{ticker}earnings.csv'
        eps_quarterly = pd.read_csv(filepath)
        ticker_df = eps_quarterly.loc[eps_quarterly['symbol'] == ticker]
        ticker_df['ticker'] = ticker
        combined_df = combined_df._append(ticker_df)
    sns.catplot(data=combined_df, x='quarter', y='epsActual', hue='ticker', kind='bar', aspect=2)
    plt.xticks(rotation=30)
    plt.title('Earnings per Share (EPS)')
    plt.show()
    
tickers_list = ['INTC', 'AAPL', 'GOOGL']
compare_tickers(tickers_list)