Created
October 27, 2021 22:49
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| def getFundamentals(ticker): | |
| """ | |
| Returns the fundamental data from the financial data API. Combines the quarterly balance | |
| sheet, cash flow, income statement, and earnings for a specific stock ticker. | |
| """ | |
| # Getting data | |
| fund_data = client.get_fundamental_equity(ticker) | |
| # Financials | |
| bal = pd.DataFrame(fund_data['Financials']['Balance_Sheet']['quarterly']).T | |
| cf = pd.DataFrame(fund_data['Financials']['Cash_Flow']['quarterly']).T | |
| inc = pd.DataFrame(fund_data['Financials']['Income_Statement']['quarterly']).T | |
| # Earnings | |
| earn = pd.DataFrame(fund_data['Earnings']['History']).T | |
| # Merging them together | |
| df = reduce( | |
| lambda left,right: pd.merge( | |
| left, | |
| right, | |
| left_index=True, | |
| right_index=True, | |
| how='outer', | |
| suffixes=('', '_drop') | |
| ), | |
| [bal, cf, inc, earn] | |
| ) | |
| # Dropping redundant date and duplicate columns | |
| dup_cols = [i for i in df.columns if "date" in i or "Date" in i or "_drop" in i] | |
| df = df.drop(dup_cols, axis=1) | |
| return df |
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