Merge multiple (2+) dataframes in Pandas with a proper column name
Merge multiple (2+) dataframes in Pandas with a proper column name Question: everyone. I have the following list of dataframes: df_eurusd = DownloadData(‘EUR/USD’,start_date,end_date,timeframe).GetData() df_usdjpy = DownloadData(‘USD/JPY’,start_date,end_date,timeframe).GetData() df_gbpusd = DownloadData(‘GBP/USD’,start_date,end_date,timeframe).GetData() df_usdcad = DownloadData(‘USD/CAD’,start_date,end_date,timeframe).GetData() df_usdsek = DownloadData(‘USD/SEK’,start_date,end_date,timeframe).GetData() df_usdchf = DownloadData(‘USD/CHF’,start_date,end_date,timeframe).GetData() tickers = { ‘EUR/USD’ : df_eurusd, ‘USD/JPY’ : df_usdjpy, ‘GBP/USD’ : df_gbpusd, ‘USD/CAD’ : df_usdcad, ‘USD/SEK’ : …