1 00:00:00,012 --> 00:00:04,949 And let's go ahead and load the xls file, 2 00:00:05,100 --> 00:00:08,295 xlsx actually, an Excel file. 3 00:00:08,319 --> 00:00:12,148 [No audio] 4 00:00:12,188 --> 00:00:14,536 So pandas.read_excel and 5 00:00:14,561 --> 00:00:18,791 [Author typing] 6 00:00:18,816 --> 00:00:20,010 you pass the name of the 7 00:00:20,010 --> 00:00:22,320 Excel file, and normally, you should also 8 00:00:22,320 --> 00:00:24,510 pass another parameter here for Excel 9 00:00:24,510 --> 00:00:26,760 files, because you know Excel files 10 00:00:26,760 --> 00:00:29,520 might have multiple sheets inside 11 00:00:29,520 --> 00:00:32,910 them. So you want to specify the sheet 12 00:00:32,910 --> 00:00:35,430 name, which start from zero, so you need 13 00:00:35,430 --> 00:00:38,040 to pass the index actually. If you want 14 00:00:38,040 --> 00:00:41,160 the first sheet, you want to pass 0, 15 00:00:41,160 --> 00:00:43,050 if you want second sheet, you want to 16 00:00:43,050 --> 00:00:45,600 pass 1, and so on. So I'll pass 0 17 00:00:45,600 --> 00:00:47,370 there. I had one other raw sheet in the 18 00:00:47,370 --> 00:00:53,940 Excel file. df3, execute. I am, we 19 00:00:53,940 --> 00:00:56,190 were able to successfully read the Excel 20 00:00:56,190 --> 00:00:58,333 file as well. So let's move on.