Open daxm opened 3 years ago
same hope here
use quarterly and sum. I did it in my code:
df_ttm = fundamentals_table.groupby(['symbol'])[['totalRevenue', 'costOfRevenue' ,'totalCashFromOperatingActivities', 'capitalExpenditures' , 'totalOperatingExpenses', 'totalCashflowsFromInvestingActivities']].sum() df_ttm = df_ttm.reset_index(drop=False) df_ttm['capitalExpenditures'].fillna(df_ttm['totalCashflowsFromInvestingActivities'], inplace=True) df_ttm.rename(columns={'totalRevenue': 'totalRevenueTTM', 'costOfRevenue': 'costOfRevenueTTM' , 'totalCashFromOperatingActivities': 'totalCashFromOperatingActivitiesTTM' , 'totalOperatingExpenses': 'totalOperatingExpensesTTM' , 'capitalExpenditures': 'capitalExpendituresTTM' , 'Total Debt (mrq)': 'Debt'}, inplace=True) print("ttm precalculated")
Title says it all. Can we get TTM as an option to the yearly/quarterly ranges?