42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
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import sys
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sys.path.append('../group-1')
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import pandas as pd
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from scraper.top100_extractor import programming_crime_list
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def stock_price_time_series(ticker: str):
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# Read market price csv
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market_prices = pd.read_csv(f'Companies_Data/{ticker}_Data/{ticker}_price_history.csv')
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return market_prices
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def eps_bar_chart(ticker: str):
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# Read earnings csv
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earnings = pd.read_csv(f'Companies_Data/{ticker}_Data/{ticker}earnings.csv')
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earnings = earnings[['symbol', 'epsActual', 'quarter']]
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return earnings
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def concatenate_price_history():
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# Declare empty dataframe
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unified_price_history = pd.DataFrame()
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for ticker in programming_crime_list:
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prices = stock_price_time_series(ticker)
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unified_price_history = pd.concat([prices, unified_price_history], ignore_index=True, axis=0)
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unified_price_history.to_csv('Elaborated_Data/price_history_data.csv')
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def concatenate_eps():
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# Declare empty dataframe
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eps_df = pd.DataFrame()
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for ticker in programming_crime_list:
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eps = eps_bar_chart(ticker)
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eps_df = pd.concat([eps, eps_df], ignore_index=True, axis=0)
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eps_df.to_csv('Elaborated_Data/eps_quarterly_bar_chart.csv')
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if __name__ == '__main__':
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concatenate_price_history()
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concatenate_eps()
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