1 00:00:00,000 --> 00:00:01,895 [No audio] 2 00:00:01,920 --> 00:00:04,770 So we happen to have some data which 3 00:00:05,280 --> 00:00:09,030 don't have a header row. In that case, 4 00:00:09,240 --> 00:00:11,941 we load them with headers equals to None, 5 00:00:12,032 --> 00:00:15,062 and then we assign them, df8, 6 00:00:15,100 --> 00:00:18,635 [Author typing] 7 00:00:18,660 --> 00:00:20,640 some column names, which can be in a 8 00:00:20,665 --> 00:00:23,245 list. Let's say ID for the first column. 9 00:00:23,340 --> 00:00:27,960 So the order has to be the same as the 10 00:00:27,960 --> 00:00:29,880 order you seen here. If you think that 11 00:00:29,880 --> 00:00:33,960 that's the ID column, just say ID. If 12 00:00:33,960 --> 00:00:35,610 you see, if you think that's the address 13 00:00:35,610 --> 00:00:36,690 column, say Address. 14 00:00:36,714 --> 00:00:43,204 [No audio] 15 00:00:43,229 --> 00:00:45,389 So I had the knowledge of what this 16 00:00:45,389 --> 00:00:47,902 data are about, I can do that, 17 00:00:47,926 --> 00:00:50,704 [No audio] 18 00:00:50,729 --> 00:00:54,449 print out df, and you'll see that we have a 19 00:00:54,449 --> 00:00:55,520 new header here. 20 00:00:55,544 --> 00:00:57,544 [No audio]